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  1. experiments/results/lm_lc/flan-t5-base/ppl.competitor__rival_of.jsonl +89 -0
  2. experiments/results/lm_lc/flan-t5-base/ppl.friend__ally_of.jsonl +92 -0
  3. experiments/results/lm_lc/flan-t5-base/ppl.influenced_by.jsonl +93 -0
  4. experiments/results/lm_lc/flan-t5-base/ppl.known_for.jsonl +108 -0
  5. experiments/results/lm_lc/flan-t5-base/ppl.similar_to.jsonl +93 -0
  6. experiments/results/lm_lc/flan-t5-large/ppl.competitor__rival_of.jsonl +89 -0
  7. experiments/results/lm_lc/flan-t5-large/ppl.friend__ally_of.jsonl +92 -0
  8. experiments/results/lm_lc/flan-t5-large/ppl.influenced_by.jsonl +93 -0
  9. experiments/results/lm_lc/flan-t5-large/ppl.known_for.jsonl +108 -0
  10. experiments/results/lm_lc/flan-t5-large/ppl.similar_to.jsonl +93 -0
  11. experiments/results/lm_lc/flan-t5-small/ppl.competitor__rival_of.jsonl +89 -0
  12. experiments/results/lm_lc/flan-t5-small/ppl.friend__ally_of.jsonl +92 -0
  13. experiments/results/lm_lc/flan-t5-small/ppl.influenced_by.jsonl +93 -0
  14. experiments/results/lm_lc/flan-t5-small/ppl.known_for.jsonl +108 -0
  15. experiments/results/lm_lc/flan-t5-small/ppl.similar_to.jsonl +93 -0
  16. experiments/results/lm_lc/lm.csv +8 -0
  17. experiments/results/lm_lc/opt-125m/ppl.competitor__rival_of.jsonl +89 -0
  18. experiments/results/lm_lc/opt-125m/ppl.friend__ally_of.jsonl +92 -0
  19. experiments/results/lm_lc/opt-125m/ppl.influenced_by.jsonl +93 -0
  20. experiments/results/lm_lc/opt-125m/ppl.known_for.jsonl +108 -0
  21. experiments/results/lm_lc/opt-125m/ppl.similar_to.jsonl +93 -0
  22. experiments/results/lm_lc/opt-350m/ppl.competitor__rival_of.jsonl +89 -0
  23. experiments/results/lm_lc/opt-350m/ppl.friend__ally_of.jsonl +92 -0
  24. experiments/results/lm_lc/opt-350m/ppl.influenced_by.jsonl +93 -0
  25. experiments/results/lm_lc/opt-350m/ppl.known_for.jsonl +108 -0
  26. experiments/results/lm_lc/opt-350m/ppl.similar_to.jsonl +93 -0
  27. experiments/results/lm_lc/t5-base/ppl.competitor__rival_of.jsonl +89 -0
  28. experiments/results/lm_lc/t5-base/ppl.friend__ally_of.jsonl +92 -0
  29. experiments/results/lm_lc/t5-base/ppl.influenced_by.jsonl +93 -0
  30. experiments/results/lm_lc/t5-base/ppl.known_for.jsonl +108 -0
  31. experiments/results/lm_lc/t5-base/ppl.similar_to.jsonl +93 -0
  32. experiments/results/lm_lc/t5-large/ppl.competitor__rival_of.jsonl +89 -0
  33. experiments/results/lm_lc/t5-large/ppl.friend__ally_of.jsonl +92 -0
  34. experiments/results/lm_lc/t5-large/ppl.influenced_by.jsonl +93 -0
  35. experiments/results/lm_lc/t5-large/ppl.known_for.jsonl +108 -0
  36. experiments/results/lm_lc/t5-large/ppl.similar_to.jsonl +93 -0
  37. experiments/results/lm_lc/t5-small/ppl.competitor__rival_of.jsonl +89 -0
  38. experiments/results/lm_lc/t5-small/ppl.friend__ally_of.jsonl +92 -0
  39. experiments/results/lm_lc/t5-small/ppl.influenced_by.jsonl +93 -0
  40. experiments/results/lm_lc/t5-small/ppl.known_for.jsonl +108 -0
  41. experiments/results/lm_lc/t5-small/ppl.similar_to.jsonl +93 -0
  42. experiments/results/lm_qa/flan-t5-base/ppl.competitor__rival_of.jsonl +89 -0
  43. experiments/results/lm_qa/flan-t5-base/ppl.friend__ally_of.jsonl +92 -0
  44. experiments/results/lm_qa/flan-t5-base/ppl.influenced_by.jsonl +93 -0
  45. experiments/results/lm_qa/flan-t5-base/ppl.known_for.jsonl +108 -0
  46. experiments/results/lm_qa/flan-t5-base/ppl.similar_to.jsonl +93 -0
  47. experiments/results/lm_qa/flan-t5-large/ppl.competitor__rival_of.jsonl +89 -0
  48. experiments/results/lm_qa/flan-t5-large/ppl.friend__ally_of.jsonl +92 -0
  49. experiments/results/lm_qa/flan-t5-large/ppl.influenced_by.jsonl +93 -0
  50. experiments/results/lm_qa/flan-t5-large/ppl.known_for.jsonl +108 -0
experiments/results/lm_lc/flan-t5-base/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 20.98317072102486, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Jeremy Corbyn\", \"Keir Starmer\"]"}
2
+ {"perplexity": 65.9815345744582, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"EuroBasket 2022\", \"Murad III\"]"}
3
+ {"perplexity": 28.964591036986338, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bugatti\", \"Lamborghini\"]"}
4
+ {"perplexity": 7.12057001546338, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Microsoft\"]"}
5
+ {"perplexity": 29.4098395822251, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Lee Chong Wei\", \"Lin Dan\"]"}
6
+ {"perplexity": 16.113583454380297, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Microsoft\", \"Google\"]"}
7
+ {"perplexity": 13.552108044203555, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Samsung\", \"Pitbull\"]"}
8
+ {"perplexity": 10.991687560762436, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Cristiano Ronaldo\", \"Lionel Messi\"]"}
9
+ {"perplexity": 7.204171817830221, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Germany\", \"Austria\"]"}
10
+ {"perplexity": 39.98402104228569, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Dyson\", \"Dualit\"]"}
11
+ {"perplexity": 11.146987594902042, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Netflix\", \"Disney Plus\"]"}
12
+ {"perplexity": 24.318223451346185, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"PyTorch\", \"TensorFlow\"]"}
13
+ {"perplexity": 2.833362952978327, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Dell\", \"HP\"]"}
14
+ {"perplexity": 140.65928686027965, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sanpellegrino\", \"Volvic\"]"}
15
+ {"perplexity": 22.162227751547423, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]"}
16
+ {"perplexity": 5.207498030325607, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"British Airways\", \"Aer Lingus\"]"}
17
+ {"perplexity": 2.6142105952528314, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Microsoft Teams\", \"Slack\"]"}
18
+ {"perplexity": 11.546983636349498, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Federal Reserve Board\", \"Bank of England\"]"}
19
+ {"perplexity": 11.239960351372297, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"American Psycho\", \"Chihuahua\"]"}
20
+ {"perplexity": 21.592442073542912, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mars\", \"Snickers\"]"}
21
+ {"perplexity": 91.66147481722146, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"ASML\", \"LAM Research\"]"}
22
+ {"perplexity": 33.94208938128798, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Jake Paul\", \"Tangled\"]"}
23
+ {"perplexity": 20.152187154635364, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]"}
24
+ {"perplexity": 17.45813662787751, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Razer\", \"Dell\"]"}
25
+ {"perplexity": 18.239689792169003, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Spotify\", \"Apple\"]"}
26
+ {"perplexity": 15.899005670370903, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Kourtney Kardashian\", \"Jenna Fischer\"]"}
27
+ {"perplexity": 8.425278677943917, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Twitter\", \"WhatsApp\"]"}
28
+ {"perplexity": 9.980050305589787, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Manchester United\", \"Arsenal\"]"}
29
+ {"perplexity": 11.309158978447568, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"WeChat\", \"WhatsApp\"]"}
30
+ {"perplexity": 15.680876037296645, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Saudi Arabia\", \"Israel\"]"}
31
+ {"perplexity": 26.30855999954413, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bashar al-Assad\", \"Christianity\"]"}
32
+ {"perplexity": 21.468295011131794, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Didier Deschamps\", \"Scott Adkins\"]"}
33
+ {"perplexity": 23.587496730414177, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]"}
34
+ {"perplexity": 26.952818833227788, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Louis Philippe\", \"Peter England\"]"}
35
+ {"perplexity": 8.355988344837716, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Steve Jobs\", \"Atlanta\"]"}
36
+ {"perplexity": 35.449462186439575, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bella Hadid\", \"Choi Woo-shik\"]"}
37
+ {"perplexity": 23.773476310555868, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mali\", \"Frances McDormand\"]"}
38
+ {"perplexity": 9.979533982763686, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Coca-Cola Company\", \"Pepsi\"]"}
39
+ {"perplexity": 38.97786449433465, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]"}
40
+ {"perplexity": 5.565947191095996, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Twitter\", \"Facebook\"]"}
41
+ {"perplexity": 10.86479353513179, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Cardiff University\", \"Swansea University\"]"}
42
+ {"perplexity": 12.109140964117943, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Isaac Newton\", \"Gottfried Leibniz\"]"}
43
+ {"perplexity": 9.422569251447577, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Casio\", \"Texas Instruments\"]"}
44
+ {"perplexity": 7.750319142079062, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Arsenal\", \"Tottenham Hotspur\"]"}
45
+ {"perplexity": 8.900673494398816, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nintendo\", \"Xbox\"]"}
46
+ {"perplexity": 21.102862066387754, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"H&M\", \"Zalora\"]"}
47
+ {"perplexity": 24.82575537770492, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Serena Williams\", \"Andy Murray\"]"}
48
+ {"perplexity": 3.318047750780229, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Liverpool FC\", \"Manchester United\"]"}
49
+ {"perplexity": 8.198591911516624, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Samsung\"]"}
50
+ {"perplexity": 23.553391191225852, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Expedia\", \"Trivago\"]"}
51
+ {"perplexity": 15.618732913894904, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Heathrow Airport\", \"Gatwick Airport\"]"}
52
+ {"perplexity": 24.134932414156946, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mario\", \"Bowser\"]"}
53
+ {"perplexity": 12.960757346933201, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"US\", \"China\"]"}
54
+ {"perplexity": 12.852410847174635, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Olympic Games\", \"Helicobacter pylori\"]"}
55
+ {"perplexity": 17.913584227993702, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"BMW\", \"Mercedes-Benz\"]"}
56
+ {"perplexity": 16.805773825882863, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Blur\", \"Oasis\"]"}
57
+ {"perplexity": 4.6335570648694375, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Israel\", \"Palestine\"]"}
58
+ {"perplexity": 15.4498954122428, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Toshiba\", \"LG\"]"}
59
+ {"perplexity": 11.128893077013698, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Rolex\"]"}
60
+ {"perplexity": 9.297429806352458, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Tesla\", \"Skoda\"]"}
61
+ {"perplexity": 17.33629079578676, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Thomas Jefferson\", \"Alexander Hamilton\"]"}
62
+ {"perplexity": 21.474366339774498, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Chester FC\", \"Wrexham FC\"]"}
63
+ {"perplexity": 30.390410404715627, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Line of Duty\", \"CSI\"]"}
64
+ {"perplexity": 10.168111952594343, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Gladiator\", \"Imelda Staunton\"]"}
65
+ {"perplexity": 12.302459995554079, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"UK\", \"France\"]"}
66
+ {"perplexity": 13.374238857346082, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nike\", \"Adidas\"]"}
67
+ {"perplexity": 12.175699249276624, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Alain Prost\", \"Ayrton Senna\"]"}
68
+ {"perplexity": 10.309705935636158, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Manchester City\", \"Manchester United\"]"}
69
+ {"perplexity": 10.598604096009012, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"BBC\", \"The Guardian\"]"}
70
+ {"perplexity": 9.224568579316795, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Amazon\", \"Ebay\"]"}
71
+ {"perplexity": 12.196914781424809, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]"}
72
+ {"perplexity": 30.61445585658052, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"ASEAN\", \"Helen Hunt\"]"}
73
+ {"perplexity": 25.026151809083952, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Hans Zimmer\", \"John Williams\"]"}
74
+ {"perplexity": 23.456822265983572, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Noel Gallagher\", \"Liam Gallaguer\"]"}
75
+ {"perplexity": 9.485062467016894, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"McDonald's\", \"Burger King\"]"}
76
+ {"perplexity": 14.885775231823214, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Neoclassicism\", \"Romanticism\"]"}
77
+ {"perplexity": 18.466202918951392, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Royal Feast\", \"Fast X\"]"}
78
+ {"perplexity": 18.897365882309586, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Eminem\", \"MGK\"]"}
79
+ {"perplexity": 3.3217964417137584, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sprite\", \"7 Up\"]"}
80
+ {"perplexity": 25.425438748509055, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Katharine Hepburn\", \"Abrahamic religion\"]"}
81
+ {"perplexity": 8.243911248512152, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Martin Luther King Jr.\", \"Malcolm X\"]"}
82
+ {"perplexity": 31.809271531016197, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Ligue 1\", \"Hayley Atwell\"]"}
83
+ {"perplexity": 25.842744789639816, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Vikram\", \"Coen brothers\"]"}
84
+ {"perplexity": 21.332305753620595, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Russia\", \"China\"]"}
85
+ {"perplexity": 26.87044729422127, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mohamed Salah\", \"Korea\"]"}
86
+ {"perplexity": 10.336555436571382, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Kingston\", \"Samsung\"]"}
87
+ {"perplexity": 26.631156901477862, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"AWS\", \"GCP\"]"}
88
+ {"perplexity": 10.523897911265971, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
89
+ {"perplexity": 27.501989211520886, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"John Tyler\", \"Whig Party\"]"}
experiments/results/lm_lc/flan-t5-base/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 24.11554849349798, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Leo Varadkar\"]"}
2
+ {"perplexity": 45.3133086524964, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Gondor\", \"Rohan\"]"}
3
+ {"perplexity": 17.728572823565088, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"FIFA\", \"UEFA\"]"}
4
+ {"perplexity": 8.914516003403659, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Joseph Stalin\", \"Josip Broz Tito\"]"}
5
+ {"perplexity": 5.933060757871044, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Hillary Clinton\", \"Barack Obama\"]"}
6
+ {"perplexity": 20.759353017029426, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Di Maio\", \"Salvini\"]"}
7
+ {"perplexity": 6.282573944989651, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Yahoo\", \"Yahoo Japan\"]"}
8
+ {"perplexity": 8.370119163169813, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Armenia\", \"Azerbaijan\"]"}
9
+ {"perplexity": 36.526166649133295, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Doja Cat\", \"Anthony Albanese\"]"}
10
+ {"perplexity": 12.002197750575668, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]"}
11
+ {"perplexity": 41.03293426769097, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Islamic State\", \"Denys Prokopenko\"]"}
12
+ {"perplexity": 7.6955850282051355, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Brazil\", \"India\"]"}
13
+ {"perplexity": 2.302271306285933, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Extinction Rebellion\", \"Greta Thunberg\"]"}
14
+ {"perplexity": 11.84593044747325, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sicily\", \"Calabria\"]"}
15
+ {"perplexity": 10.56995242412735, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Oman\", \"Iran\"]"}
16
+ {"perplexity": 17.931543949215857, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sony\", \"ZEISS\"]"}
17
+ {"perplexity": 32.4121549879086, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"FTX\", \"Alameda Research\"]"}
18
+ {"perplexity": 7.457289347183679, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UK\", \"Commonwealth\"]"}
19
+ {"perplexity": 2.9624430148496934, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Australia\", \"New Zealand\"]"}
20
+ {"perplexity": 16.25719524267182, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Kylo Ren\", \"Rey\"]"}
21
+ {"perplexity": 26.21904170675928, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Anne Boleyn\", \"Columbia Pictures\"]"}
22
+ {"perplexity": 11.136401893385056, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"KGB\", \"CIA\"]"}
23
+ {"perplexity": 30.242244425645975, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Joe Biden\"]"}
24
+ {"perplexity": 11.115735014112829, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Quentin Tarantino\", \"Edgar Wright\"]"}
25
+ {"perplexity": 18.657412936872607, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Keir Starmer\", \"Jeremy Corbyn\"]"}
26
+ {"perplexity": 7.696909846491088, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"U.S.S.R.\", \"East Germany\"]"}
27
+ {"perplexity": 12.58349237614435, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Harry Potter\", \"Severus Snape\"]"}
28
+ {"perplexity": 18.459564862051618, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Tata Motors\", \"Jaguar\"]"}
29
+ {"perplexity": 17.67582042605772, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Kendall Jenner\", \"Bergen\"]"}
30
+ {"perplexity": 17.71875241215235, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Thomas Jefferson\", \"Kid Cudi\"]"}
31
+ {"perplexity": 6.232427575374659, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"South Korea\", \"Japan\"]"}
32
+ {"perplexity": 7.03729574651998, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Spain\", \"Portugal\"]"}
33
+ {"perplexity": 9.014874218440651, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Liam Gallagher\", \"Noel Gallagher\"]"}
34
+ {"perplexity": 5.0892780931709, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"France\", \"Belgium\"]"}
35
+ {"perplexity": 11.523103929633672, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Turkish Airlines\", \"All Nippon Airways\"]"}
36
+ {"perplexity": 6.215957078642527, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Malaysia\", \"Singapore\"]"}
37
+ {"perplexity": 10.569236747614337, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"JP Morgan\", \"Morgan Stanley\"]"}
38
+ {"perplexity": 12.680193488869358, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sophia Loren\", \"Marlon Brando\"]"}
39
+ {"perplexity": 6.137846738681286, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]"}
40
+ {"perplexity": 7.178009592207715, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"China\", \"North Korea\"]"}
41
+ {"perplexity": 6.827275802656575, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Margaret Thatcher\", \"Ronald Reagan\"]"}
42
+ {"perplexity": 23.237142147054918, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Eva Per\u00f3n\", \"Interpol\"]"}
43
+ {"perplexity": 5.717018469938465, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UK\", \"Ireland\"]"}
44
+ {"perplexity": 7.370255537598892, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Singapore\", \"Israel\"]"}
45
+ {"perplexity": 10.72222814163338, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]"}
46
+ {"perplexity": 9.205133997493002, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"India\", \"US\"]"}
47
+ {"perplexity": 25.29697935825562, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ed Gein\", \"Colonel Sanders\"]"}
48
+ {"perplexity": 8.987662077120948, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
49
+ {"perplexity": 20.17793251805094, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Red Bull\", \"GoPro\"]"}
50
+ {"perplexity": 14.988485976277872, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"HSBC\", \"BlackRock\"]"}
51
+ {"perplexity": 3.099296900936902, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Elsa\", \"Anna\"]"}
52
+ {"perplexity": 13.850230275734834, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Macbeth\", \"Banquo\"]"}
53
+ {"perplexity": 2.1386812783615303, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Aznar\", \"Bush\"]"}
54
+ {"perplexity": 9.512707770934115, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Google\", \"Samsung\"]"}
55
+ {"perplexity": 20.483710392934825, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"IMF\", \"The World Bank\"]"}
56
+ {"perplexity": 17.645840462143337, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Nikon\", \"Tokina\"]"}
57
+ {"perplexity": 29.191999776188982, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Walter White\", \"Gus Fring\"]"}
58
+ {"perplexity": 21.940245391896664, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ron Weasley\", \"Neville Longbottom\"]"}
59
+ {"perplexity": 15.339732207577201, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Darth Vader\", \"Emperor Palpatine\"]"}
60
+ {"perplexity": 6.419929056804841, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Coca-Cola\", \"McDonald's\"]"}
61
+ {"perplexity": 9.47555120416661, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Instagram\", \"WhatsApp\"]"}
62
+ {"perplexity": 22.036837872572843, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Noah Schnapp\", \"Galatasaray S.K.\"]"}
63
+ {"perplexity": 6.522657793844103, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"US\", \"Canada\"]"}
64
+ {"perplexity": 23.59953451364015, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Bob Marley\", \"Abu Bakr\"]"}
65
+ {"perplexity": 15.399278236537718, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Jeff Bezos\", \"GitHub\"]"}
66
+ {"perplexity": 9.938027883660725, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Hong Kong\", \"HSBC\"]"}
67
+ {"perplexity": 2.901451984730192, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"United States\", \"United Kingdom\"]"}
68
+ {"perplexity": 23.67857920461523, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Porter Wagoner\", \"Dolly Parton\"]"}
69
+ {"perplexity": 29.795409660688033, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Achilles\", \"Jonathan Bailey\"]"}
70
+ {"perplexity": 34.167863014923995, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Linus Sebastian\", \"Marques Brownlee\"]"}
71
+ {"perplexity": 11.205275531060797, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]"}
72
+ {"perplexity": 9.385247861208729, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Amazon\", \"Royal Mail\"]"}
73
+ {"perplexity": 15.638839448519525, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"The Beatles\", \"Queen\"]"}
74
+ {"perplexity": 8.141470351665902, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Benedict Cumberbatch\", \"Hanukkah\"]"}
75
+ {"perplexity": 13.332802677866072, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Huawei\", \"China\"]"}
76
+ {"perplexity": 53.45249858792688, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Emmanuel Macron\"]"}
77
+ {"perplexity": 14.240004357968179, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Microsoft\", \"LinkedIn\"]"}
78
+ {"perplexity": 14.505060729613987, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Paul Rudd\", \"Memento\"]"}
79
+ {"perplexity": 5.821852412214843, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Russia\", \"Georgia\"]"}
80
+ {"perplexity": 6.678942299999112, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Germany\", \"France\"]"}
81
+ {"perplexity": 14.687505629900443, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Stephen Hawking\", \"Brian Cox\"]"}
82
+ {"perplexity": 13.548480033426396, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]"}
83
+ {"perplexity": 55.554869814641506, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Mark Drakeford\", \"Rishi Sunak\"]"}
84
+ {"perplexity": 35.43006214011604, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"J\u00fcrgen Klopp\", \"Exo\"]"}
85
+ {"perplexity": 11.900811694785284, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Windows\", \"Xbox\"]"}
86
+ {"perplexity": 17.5882637258966, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Saturn\", \"Rachel Bilson\"]"}
87
+ {"perplexity": 13.458316144061595, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ottoman Empire\", \"Snowpiercer\"]"}
88
+ {"perplexity": 14.322795511616356, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Johnny Cash\", \"Waylon Jennings\"]"}
89
+ {"perplexity": 7.481087849147163, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UN\", \"NATO\"]"}
90
+ {"perplexity": 25.59099236752703, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Boris Johnson\", \"Emmanuel Macron\"]"}
91
+ {"perplexity": 53.51055383736404, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Cersei Lannister\", \"Euron Greyjoy\"]"}
92
+ {"perplexity": 6.7372448593778165, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Japan\", \"Taiwan\"]"}
experiments/results/lm_lc/flan-t5-base/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 14.577251460533567, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Prince Harry\", \"Monarchy\"]"}
2
+ {"perplexity": 29.590667950775497, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"F1\", \"social media\"]"}
3
+ {"perplexity": 11.810321765902339, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Elton John\", \"Elvis Presley\"]"}
4
+ {"perplexity": 29.488737405766532, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Jack Black\", \"Waffen-SS\"]"}
5
+ {"perplexity": 5.409809850371856, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Game of Thrones\", \"Lord of the Rings\"]"}
6
+ {"perplexity": 14.033663628131835, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Canon\", \"Nikon\"]"}
7
+ {"perplexity": 5.943569565240182, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Thomas Aquinas\", \"Aristotle\"]"}
8
+ {"perplexity": 20.10747665274528, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Android\", \"iOS\"]"}
9
+ {"perplexity": 32.58371326941866, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Charles Baudelaire\", \"Tornado MRCA\"]"}
10
+ {"perplexity": 31.243700144006286, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"trending music\", \"TikTok\"]"}
11
+ {"perplexity": 9.905988345960324, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Xi Jinping\", \"Kim Jong-il\"]"}
12
+ {"perplexity": 12.978713900090813, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beethoven\", \"romanticism\"]"}
13
+ {"perplexity": 13.966445668035103, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Edgar Allan Poe\", \"Romanticism\"]"}
14
+ {"perplexity": 14.796085320058, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"US\", \"NASA\"]"}
15
+ {"perplexity": 14.931468195926623, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Wales\", \"Westminster\"]"}
16
+ {"perplexity": 15.834057564329845, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Sierra Leone\", \"Pulp fiction\"]"}
17
+ {"perplexity": 2.7064192455510905, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Ethereum\", \"Bitcoin\"]"}
18
+ {"perplexity": 28.57471892392607, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Theresa May\", \"David Cameron\"]"}
19
+ {"perplexity": 32.520825372816375, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Anna Delvey\", \"Bernie Madoff\"]"}
20
+ {"perplexity": 5.301720837005187, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Lord of the Rings\", \"Beowulf\"]"}
21
+ {"perplexity": 11.240708044729788, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Andrew Johnson\", \"Abraham Lincoln\"]"}
22
+ {"perplexity": 12.959641874126149, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"LinkedIn\", \"Facebook\"]"}
23
+ {"perplexity": 13.455207260673172, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Picasso\", \"Cezanne\"]"}
24
+ {"perplexity": 21.289387390966464, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Playstation\", \"Xbox\"]"}
25
+ {"perplexity": 7.979796261088293, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Kevin Spacey\", \"Tenerife\"]"}
26
+ {"perplexity": 18.788620253891455, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Saudi Arabia\", \"US\"]"}
27
+ {"perplexity": 53.92432797000611, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Fitbit\", \"heart rate monitor\"]"}
28
+ {"perplexity": 8.076002336966967, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Taiwan\", \"China\"]"}
29
+ {"perplexity": 26.493535723687817, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]"}
30
+ {"perplexity": 16.69345533529079, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Picasso\", \"cubism\"]"}
31
+ {"perplexity": 25.16429681979246, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Miley Cyrus\", \"Lorde\"]"}
32
+ {"perplexity": 18.935231805251423, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Neymar\", \"Alexis S\u00e1nchez\"]"}
33
+ {"perplexity": 18.004511716328803, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Smashing Pumpkins\", \"Beatles\"]"}
34
+ {"perplexity": 9.507213978743824, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Portuguese\", \"The Prestige\"]"}
35
+ {"perplexity": 15.689230321577059, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Luke Evans\", \"Ava Gardner\"]"}
36
+ {"perplexity": 17.758528222938494, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"MacOS\", \"Linux\"]"}
37
+ {"perplexity": 53.14475205313502, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Transport for Wales\", \"National Rail\"]"}
38
+ {"perplexity": 34.36113982309135, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Herbie Hancock\", \"Miles Davis\"]"}
39
+ {"perplexity": 10.954584654532315, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"India\", \"Hinduism\"]"}
40
+ {"perplexity": 16.875866449772563, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"hip hop\", \"jazz\"]"}
41
+ {"perplexity": 11.601752210957686, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bob Dylan\", \"Woody Guthrie\"]"}
42
+ {"perplexity": 26.14144300749961, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Tim Burton\", \"German expressionism\"]"}
43
+ {"perplexity": 43.16341194906044, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Eamon de Valera\", \"James Napper Tandy\"]"}
44
+ {"perplexity": 12.163446417404229, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Joe Biden\", \"Donald Trump\"]"}
45
+ {"perplexity": 14.047857358348239, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Shaquille O'Neal\", \"Selim II\"]"}
46
+ {"perplexity": 62.04006819199487, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Cobra Kai\", \"Anna Chlumsky\"]"}
47
+ {"perplexity": 7.2874815019231995, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Harry Potter\", \"Wizard of Oz\"]"}
48
+ {"perplexity": 8.52207539868518, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
49
+ {"perplexity": 16.417584019871853, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Apple Music\", \"Spotify\"]"}
50
+ {"perplexity": 13.608085379086674, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Singaporean food\", \"Malaysian food\"]"}
51
+ {"perplexity": 20.85873187392277, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Guess\", \"Gucci\"]"}
52
+ {"perplexity": 5.194368306870043, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Commonwealth\", \"United Kingdom\"]"}
53
+ {"perplexity": 33.52313776245773, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"machine learning\", \"Google\"]"}
54
+ {"perplexity": 10.895428898848333, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Antonio Salazar\", \"fascism\"]"}
55
+ {"perplexity": 9.977223943736938, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Facebook\", \"LinkedIn\"]"}
56
+ {"perplexity": 15.508763459538542, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hank Williams\", \"Jimmie Rodgers\"]"}
57
+ {"perplexity": 47.08124979975192, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"painters\", \"Stable Diffusion\"]"}
58
+ {"perplexity": 16.08453126072176, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Walmart\", \"Rivaldo\"]"}
59
+ {"perplexity": 31.540403924767762, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Sauron\", \"Shiba Inu\"]"}
60
+ {"perplexity": 21.722097056723445, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bruno Mars\", \"James Brown\"]"}
61
+ {"perplexity": 5.958360762992522, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Brazil\", \"Spain\"]"}
62
+ {"perplexity": 17.749715299328837, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"heavy metal\", \"punk music\"]"}
63
+ {"perplexity": 55.976630539382036, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Moon\", \"G\u00f6bekli Tepe\"]"}
64
+ {"perplexity": 9.906493777990717, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"English\", \"William Shakespeare\"]"}
65
+ {"perplexity": 5.484068841821834, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beatles\", \"Alice in Wonderland\"]"}
66
+ {"perplexity": 3.3322308702300956, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"impressionism\", \"Edouard Manet\"]"}
67
+ {"perplexity": 19.341579307188574, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Gilbert Gottfried\", \"Mike Krieger\"]"}
68
+ {"perplexity": 12.765281307142452, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Vladimir Lenin\", \"chess\"]"}
69
+ {"perplexity": 8.631764225477934, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Pepsi\", \"Coca-Cola\"]"}
70
+ {"perplexity": 15.026381094065668, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Alicia Vikander\", \"Richard Attenborough\"]"}
71
+ {"perplexity": 19.463049689949404, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Luke Bryan\", \"Hank Williams\"]"}
72
+ {"perplexity": 8.897070921766277, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bill Gates\", \"Steve Jobs\"]"}
73
+ {"perplexity": 43.082467219336074, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Allu Arjun\", \"Aaron Ramsey\"]"}
74
+ {"perplexity": 27.31286367464409, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Stephen King\", \"Arthur Machen\"]"}
75
+ {"perplexity": 7.955122501819036, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bangladesh\", \"India\"]"}
76
+ {"perplexity": 28.69237813855139, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"hamburger\", \"Germany\"]"}
77
+ {"perplexity": 2.5306410197316844, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Plato\", \"Socrates\"]"}
78
+ {"perplexity": 2.317503341693585, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Messi\", \"Maradona\"]"}
79
+ {"perplexity": 12.867198242290746, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Oasis\", \"Blur\"]"}
80
+ {"perplexity": 9.230396387765202, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Quentin Tarantino\", \"Sergio Leone\"]"}
81
+ {"perplexity": 9.592936992099531, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"European Union\", \"Germany\"]"}
82
+ {"perplexity": 19.453789749556993, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Stephen Foster\", \"Thomas Moore\"]"}
83
+ {"perplexity": 23.898711580563777, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hoover\", \"Dyson\"]"}
84
+ {"perplexity": 10.77886292650959, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Mark Rothko\", \"Claude Monet\"]"}
85
+ {"perplexity": 7.407128421681765, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"James Brown\", \"Michael Jackson\"]"}
86
+ {"perplexity": 10.951430082806018, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Windows\", \"Linux\"]"}
87
+ {"perplexity": 11.163442602288345, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Radiohead\", \"David Bowie\"]"}
88
+ {"perplexity": 39.561199048677366, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"NVIDIA\", \"AMD\"]"}
89
+ {"perplexity": 8.521797043739472, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"India\", \"Gandhi\"]"}
90
+ {"perplexity": 15.276930348945337, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Viktor Yushchenko\", \"Bonnie Wright\"]"}
91
+ {"perplexity": 7.3279654124784495, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beethoven\", \"Mozart\"]"}
92
+ {"perplexity": 7.717966851683661, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bitcoin\", \"blockchain\"]"}
93
+ {"perplexity": 10.997441332642046, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hong Kong\", \"China\"]"}
experiments/results/lm_lc/flan-t5-base/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 14.310633672363949, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Hawaii\", \"ukulele\"]"}
2
+ {"perplexity": 3.7636896134408273, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Paris\", \"Eiffel Tower\"]"}
3
+ {"perplexity": 15.761364862884003, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sweden\", \"pop\"]"}
4
+ {"perplexity": 81.18712285136876, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Memphis Depay\", \"Mendelian inheritance\"]"}
5
+ {"perplexity": 16.52274711857539, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"beaches\"]"}
6
+ {"perplexity": 14.044756276485765, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"cars\"]"}
7
+ {"perplexity": 15.34161216322501, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Alphabet Inc.\", \"Google\"]"}
8
+ {"perplexity": 12.179583966343646, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Vincent Van Gogh\", \"The Starry Night\"]"}
9
+ {"perplexity": 13.76639243832998, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"Hawaiian pizza\"]"}
10
+ {"perplexity": 33.15021758189116, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Japan\", \"glass product\"]"}
11
+ {"perplexity": 23.16778878283611, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"rococo movement\"]"}
12
+ {"perplexity": 25.21974044766064, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Europe\", \"The Final Countdown\"]"}
13
+ {"perplexity": 11.254038190857484, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sophie Turner\", \"Sylvia Plath\"]"}
14
+ {"perplexity": 20.057613905768154, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Bill Nye\", \"scientist\"]"}
15
+ {"perplexity": 40.63492793460203, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Mercedes Benz\", \"build quality\"]"}
16
+ {"perplexity": 14.261909279624243, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Hawaii\", \"beaches\"]"}
17
+ {"perplexity": 19.924588361163053, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jackson Pollock\", \"action painting\"]"}
18
+ {"perplexity": 14.862423104056049, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Andhra Pradesh\", \"Martinique\"]"}
19
+ {"perplexity": 6.47019402615148, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Keanu Reeves\", \"The Matrix\"]"}
20
+ {"perplexity": 18.816126925742328, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Christopher Columbus\", \"India\"]"}
21
+ {"perplexity": 8.483988937080044, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Picasso\", \"Guernica\"]"}
22
+ {"perplexity": 6.783327019102244, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"Renaissance\"]"}
23
+ {"perplexity": 24.013136302229594, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Korea\", \"Breakdance\"]"}
24
+ {"perplexity": 24.241660987180488, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Spain\", \"olive oil\"]"}
25
+ {"perplexity": 22.209246027141337, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"C.S. Lewis\", \"The Screwtape Letters\"]"}
26
+ {"perplexity": 8.342589446833001, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Corsica\", \"Napoleon Bonaparte\"]"}
27
+ {"perplexity": 11.864743844757959, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Rafael Nadal\", \"Ralph Macchio\"]"}
28
+ {"perplexity": 81.11874572543599, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Walther P38\", \"Lupin the Third\"]"}
29
+ {"perplexity": 58.46562687755187, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Richard Harris\", \"Curcuma longa\"]"}
30
+ {"perplexity": 49.44166809662274, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]"}
31
+ {"perplexity": 41.36097166444555, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"India\", \"rum\"]"}
32
+ {"perplexity": 23.182226528179623, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Parasite\", \"Jersey\"]"}
33
+ {"perplexity": 29.765304855690157, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"India\", \"Gurkhas\"]"}
34
+ {"perplexity": 10.555398950382983, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Amazon\", \"Alexa\"]"}
35
+ {"perplexity": 12.916401084646463, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Thomas Edison\", \"telephone\"]"}
36
+ {"perplexity": 34.053559045800995, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Buffon\", \"PSG\"]"}
37
+ {"perplexity": 9.772909392709613, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Alfred Hitchcock\", \"horror\"]"}
38
+ {"perplexity": 7.708341740021347, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"William Shakespeare\", \"Romeo and Juliet\"]"}
39
+ {"perplexity": 13.442625067494365, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Thomas Edison\", \"light bulb\"]"}
40
+ {"perplexity": 9.044844520279733, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Michael Jordan\", \"Tessa Thompson\"]"}
41
+ {"perplexity": 15.487502186564999, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Inglourious Basterds\", \"Sergio Busquets\"]"}
42
+ {"perplexity": 12.19462351544583, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Boris Johnson\", \"Brexit\"]"}
43
+ {"perplexity": 9.54990758014885, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Georgia\", \"Joseph Stalin\"]"}
44
+ {"perplexity": 8.543032947040512, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"China\", \"coffee\"]"}
45
+ {"perplexity": 59.1660569327059, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"OpenAI\", \"ChatGPT\"]"}
46
+ {"perplexity": 16.114839764651, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Tesco\", \"groceries\"]"}
47
+ {"perplexity": 11.974652679219393, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Amazon\", \"cloud computing\"]"}
48
+ {"perplexity": 30.26549219518449, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nvidia\", \"GPUs\"]"}
49
+ {"perplexity": 10.580168694109902, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Tony Blair\", \"Iraq War\"]"}
50
+ {"perplexity": 27.433658654861524, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Germany\", \"techno music\"]"}
51
+ {"perplexity": 16.51511052322768, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Michelangelo\", \"Pop Art\"]"}
52
+ {"perplexity": 61.196877360994144, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Gilmore Girls\", \"OpenAI\"]"}
53
+ {"perplexity": 22.396631332458124, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Ragnar\u00f6k\", \"Little Boy\"]"}
54
+ {"perplexity": 20.853898571828807, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Pizzagate\", \"Hillary Clinton\"]"}
55
+ {"perplexity": 26.534435346699507, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"George Orwell\", \"Coming Up for Air\"]"}
56
+ {"perplexity": 15.846936004008684, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"wine\"]"}
57
+ {"perplexity": 7.7086394712964195, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
58
+ {"perplexity": 19.926217812260287, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Spotify\", \"Podcasts\"]"}
59
+ {"perplexity": 23.941278546629658, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Valencia\", \"paella\"]"}
60
+ {"perplexity": 19.316919482940204, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"The Office\", \"IBM\"]"}
61
+ {"perplexity": 11.591273528252449, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Romania\", \"Roman Catholicism\"]"}
62
+ {"perplexity": 26.01763968456973, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"George Washington\", \"Kiribati\"]"}
63
+ {"perplexity": 10.279798359386906, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Charles Bronson\", \"Rory McIlroy\"]"}
64
+ {"perplexity": 16.682239400547076, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Belgium\", \"wine\"]"}
65
+ {"perplexity": 20.935952680856136, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Luka Modri\u0107\", \"Rottweiler\"]"}
66
+ {"perplexity": 15.662377088697765, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Switzerland\", \"mountains\"]"}
67
+ {"perplexity": 12.483959497844888, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Assassin's Creed\", \"history\"]"}
68
+ {"perplexity": 19.512108900035752, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Red Bull\", \"energy drinks\"]"}
69
+ {"perplexity": 12.984684305938439, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Johnny Cash\", \"Ring of Fire\"]"}
70
+ {"perplexity": 8.20064851027929, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Microsoft\", \"Xbox\"]"}
71
+ {"perplexity": 33.25099945728262, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Canada\", \"maple syrup\"]"}
72
+ {"perplexity": 10.437151737727673, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"cheese\"]"}
73
+ {"perplexity": 16.32676703115129, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"beer\"]"}
74
+ {"perplexity": 17.24475763484392, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nintendo\", \"Super Mario Bros.\"]"}
75
+ {"perplexity": 17.61741919762181, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"democracy\", \"North Korea\"]"}
76
+ {"perplexity": 2.345385066612186, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"iPhone\"]"}
77
+ {"perplexity": 11.307134228196654, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Harry Potter\", \"Bloomsbury\"]"}
78
+ {"perplexity": 15.266021902507669, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"mountains\"]"}
79
+ {"perplexity": 47.281773261702355, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"UK\", \"rain\"]"}
80
+ {"perplexity": 8.537063084159309, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Matt Damon\", \"Ocean's Eleven\"]"}
81
+ {"perplexity": 19.584974755510768, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Switzerland\", \"banking secrecy\"]"}
82
+ {"perplexity": 16.026175073481014, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Adidas\", \"Yeezy Boost\"]"}
83
+ {"perplexity": 13.059812741013726, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Portugal\", \"Fado\"]"}
84
+ {"perplexity": 13.455743002561858, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"tea\"]"}
85
+ {"perplexity": 9.750117897458201, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Beatles\", \"Come Together\"]"}
86
+ {"perplexity": 13.12491696116711, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Afro-Brazilians\", \"Capoeira\"]"}
87
+ {"perplexity": 16.949261703954438, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Steve Jobs\", \"AirPods\"]"}
88
+ {"perplexity": 8.90506305014253, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"Apple Watch\"]"}
89
+ {"perplexity": 22.64175030949613, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Frank Abagnale Jr\", \"doctor\"]"}
90
+ {"perplexity": 28.560844733967077, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Meta\", \"Instagram\"]"}
91
+ {"perplexity": 8.296539728372691, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jeff Goldblum\", \"Jurassic Park\"]"}
92
+ {"perplexity": 2.4537309689969424, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Leonardo Da Vinci\", \"Mona Lisa\"]"}
93
+ {"perplexity": 12.46608112416122, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Neil Armstrong\", \"Korean War\"]"}
94
+ {"perplexity": 12.36964733182782, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"baguette\"]"}
95
+ {"perplexity": 7.104809281252531, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Queen\", \"Bohemian Rhapsody\"]"}
96
+ {"perplexity": 6.438160211636989, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Pixar\", \"Novosibirsk\"]"}
97
+ {"perplexity": 36.14248708815519, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Greggs\", \"sausage rolls\"]"}
98
+ {"perplexity": 15.731106059811287, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Japan\", \"sake\"]"}
99
+ {"perplexity": 20.91561712755407, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"IKEA\", \"food\"]"}
100
+ {"perplexity": 22.789797804769822, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"William Grant & Sons\", \"gin\"]"}
101
+ {"perplexity": 21.97783586536052, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Netherlands\", \"tulips\"]"}
102
+ {"perplexity": 45.4796202246592, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"LAMY\", \"notebook\"]"}
103
+ {"perplexity": 22.989364596428597, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Harvey Weinstein\", \"Miramax\"]"}
104
+ {"perplexity": 16.79945627626715, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Scotland\", \"whisky\"]"}
105
+ {"perplexity": 15.865425978135338, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"MacBook\"]"}
106
+ {"perplexity": 8.068200256786346, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Steve Jobs\", \"Apple\"]"}
107
+ {"perplexity": 23.28966679637904, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Beatles\", \"I Me Mine\"]"}
108
+ {"perplexity": 10.277918694854165, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Google\", \"search engine\"]"}
experiments/results/lm_lc/flan-t5-base/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 57.49550615505887, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"pill\", \"tablet\"]"}
2
+ {"perplexity": 19.025528978756757, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Eduardo Saverin\", \"Guinea-Bissau\"]"}
3
+ {"perplexity": 13.259602966087234, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Dionysus\", \"Toyota Corolla\"]"}
4
+ {"perplexity": 26.23170325400078, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Great Britian\", \"British Empire\"]"}
5
+ {"perplexity": 21.95290273890648, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"English\", \"Persian\"]"}
6
+ {"perplexity": 18.607050949535715, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Chess\", \"Rubik's Cube\"]"}
7
+ {"perplexity": 11.318656684654716, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Star Wars\", \"Star Trek\"]"}
8
+ {"perplexity": 66.7500093433653, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Anne Heche\", \"Ponzi scheme\"]"}
9
+ {"perplexity": 19.729830313944106, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Chris Pine\", \"Good Friday\"]"}
10
+ {"perplexity": 109.12681047500672, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sudocrem\", \"Germolene\"]"}
11
+ {"perplexity": 7.561217244558565, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Yugoslavia\", \"Albania\"]"}
12
+ {"perplexity": 11.358974916397893, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
13
+ {"perplexity": 37.55507331733701, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"decision tree\", \"neural network\"]"}
14
+ {"perplexity": 16.764150638171117, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Suits\", \"Law & Order\"]"}
15
+ {"perplexity": 16.34494392764147, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Titanic\", \"Superbad\"]"}
16
+ {"perplexity": 22.997412247208956, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Seleucid Empire\", \"Macedonian Empire\"]"}
17
+ {"perplexity": 20.794488921654914, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Doctor Who\", \"Timeless\"]"}
18
+ {"perplexity": 86.37619361528832, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Srebrenica massacre\", \"Rock Hudson\"]"}
19
+ {"perplexity": 27.27365767829779, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Arnold Classic\", \"Mr. Olympia\"]"}
20
+ {"perplexity": 16.198703090008028, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Italy\", \"Superman\"]"}
21
+ {"perplexity": 37.21547723802641, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Alibaba\", \"Amazon\"]"}
22
+ {"perplexity": 11.031943101714853, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Indiana Jones\", \"Star Wars\"]"}
23
+ {"perplexity": 43.09390109458338, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"NQ64\", \"Wetherspoons\"]"}
24
+ {"perplexity": 9.624099387187457, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Pepsi\", \"Fanta\"]"}
25
+ {"perplexity": 20.223522920517336, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Homebase\", \"IKEA\"]"}
26
+ {"perplexity": 39.7286519696202, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"ramen\", \"udon\"]"}
27
+ {"perplexity": 10.888144862912405, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"England\", \"Wales\"]"}
28
+ {"perplexity": 18.322231315817792, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"sphinx\", \"sphynx\"]"}
29
+ {"perplexity": 12.934530553313168, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"iPod\", \"iPad\"]"}
30
+ {"perplexity": 10.720216460571109, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Olympic Games\", \"X Games\"]"}
31
+ {"perplexity": 7.361113198870442, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"McDonald's\", \"Burger King\"]"}
32
+ {"perplexity": 9.980321564229243, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Minnesota\", \"Wisconsin\"]"}
33
+ {"perplexity": 24.296467810980594, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Slack\", \"Microsoft Teams\"]"}
34
+ {"perplexity": 41.34760200586572, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Peter Phillips\", \"Christine Baranski\"]"}
35
+ {"perplexity": 17.75035432197863, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Jenna Ortega\", \"Anglo-Saxons\"]"}
36
+ {"perplexity": 34.73746059614581, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Karl Urban\", \"France 24\"]"}
37
+ {"perplexity": 39.09215965290715, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sudan\", \"South Sudan\"]"}
38
+ {"perplexity": 11.509688329542223, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gameboy\", \"Nintendo\"]"}
39
+ {"perplexity": 22.24790206595842, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Grammy Award\", \"Novel Prize\"]"}
40
+ {"perplexity": 23.13046808015239, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"George Ezra\", \"Lead Belly\"]"}
41
+ {"perplexity": 11.201260916964989, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cardiff\", \"Swansea\"]"}
42
+ {"perplexity": 27.71523176592937, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Steve Jobs\", \"Tim Cook\"]"}
43
+ {"perplexity": 18.704896305314772, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Counter Strike\", \"Rainbow Six\"]"}
44
+ {"perplexity": 12.7234928724924, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Hawaii\", \"Guam\"]"}
45
+ {"perplexity": 35.646571912937695, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Scrabble\", \"Jenga\"]"}
46
+ {"perplexity": 17.461566736362684, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Christmas\", \"Easter\"]"}
47
+ {"perplexity": 65.51068809990133, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"fusilli\", \"rotini\"]"}
48
+ {"perplexity": 27.09940872778887, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Coachella\", \"Woodstock\"]"}
49
+ {"perplexity": 15.530394567876513, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Avatar\", \"Archimedes\"]"}
50
+ {"perplexity": 32.95046486971756, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Shark\", \"Bush\"]"}
51
+ {"perplexity": 47.408751787555474, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Eva Braun\", \"Phil Jackson\"]"}
52
+ {"perplexity": 2.056600128629586, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
53
+ {"perplexity": 10.349057635446945, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Joe Burrow\", \"Edward Scissorhands\"]"}
54
+ {"perplexity": 8.197913659841255, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Australia\", \"New Zealand\"]"}
55
+ {"perplexity": 12.679752110269106, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Edward I\", \"William the Conqueror\"]"}
56
+ {"perplexity": 11.371794595080821, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Frank Sinatra\", \"Ella Fitzgerald\"]"}
57
+ {"perplexity": 14.528048795472722, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"New York\", \"York\"]"}
58
+ {"perplexity": 5.899700745326799, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Uzbekistan\", \"United States\"]"}
59
+ {"perplexity": 18.783433643891648, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Red Bull\", \"Monster Energy\"]"}
60
+ {"perplexity": 18.63628670928374, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Champions League\", \"Europa League\"]"}
61
+ {"perplexity": 49.52088665269315, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cerave\", \"Nivea\"]"}
62
+ {"perplexity": 10.69298732771668, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Galaxy\", \"iPhone\"]"}
63
+ {"perplexity": 24.674821892481567, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Mehmet \u00d6z\", \"David Schwimmer\"]"}
64
+ {"perplexity": 13.649475624667618, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Disney\", \"Pixar\"]"}
65
+ {"perplexity": 9.161746890277662, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Batman\", \"Iron Man\"]"}
66
+ {"perplexity": 21.269697378486985, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]"}
67
+ {"perplexity": 15.856240672761484, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Estonia\", \"Finland\"]"}
68
+ {"perplexity": 4.024585647418824, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"The Avengers\", \"The Justice League\"]"}
69
+ {"perplexity": 22.62832893091076, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]"}
70
+ {"perplexity": 23.450263131164988, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Adidas\", \"Nike\"]"}
71
+ {"perplexity": 19.8672056585049, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Java\", \"Javascript\"]"}
72
+ {"perplexity": 21.215576671818198, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"bourbon\", \"Scotch whisky\"]"}
73
+ {"perplexity": 29.606609409277763, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Alaska\", \"Canada\"]"}
74
+ {"perplexity": 16.121526365844264, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Spain\", \"Italy\"]"}
75
+ {"perplexity": 32.099045482471816, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"banana\", \"plantain\"]"}
76
+ {"perplexity": 25.139914120581142, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Firefox\", \"Chrome\"]"}
77
+ {"perplexity": 33.19996078046984, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Pecorino Romano\", \"Parmesan\"]"}
78
+ {"perplexity": 6.753487880249568, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Ligue 1\", \"Bundesliga\"]"}
79
+ {"perplexity": 14.937432285277454, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Netflix\", \"Amazon Prime Video\"]"}
80
+ {"perplexity": 53.352322243546716, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Primark\", \"Shein\"]"}
81
+ {"perplexity": 26.25057873822217, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Dominos' Pizza\", \"Pizza Hut\"]"}
82
+ {"perplexity": 31.226460285173665, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"South Africa\", \"Bhagavad Gita\"]"}
83
+ {"perplexity": 13.373502295546466, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Germany\", \"France\"]"}
84
+ {"perplexity": 21.45309862410666, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Kindle\", \"Jeff Bezos\"]"}
85
+ {"perplexity": 6.7835429282420945, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Harry Potter\", \"Lord of the Rings\"]"}
86
+ {"perplexity": 33.228746049040225, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Yakutia\", \"Turkey\"]"}
87
+ {"perplexity": 43.46565071021116, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"PS5\", \"XBox\"]"}
88
+ {"perplexity": 25.195502259611693, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Monet\", \"Manet\"]"}
89
+ {"perplexity": 57.41011397747257, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Glastonbury\", \"Roskilde\"]"}
90
+ {"perplexity": 28.622031679739123, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Telugu\", \"Tamil\"]"}
91
+ {"perplexity": 10.02034617392976, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Batman\", \"Superman\"]"}
92
+ {"perplexity": 44.05376769860667, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"cannoli\", \"canneloni\"]"}
93
+ {"perplexity": 29.418963416845592, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gerald Ford\", \"Duran Duran\"]"}
experiments/results/lm_lc/flan-t5-large/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 10.729925602284538, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Jeremy Corbyn\", \"Keir Starmer\"]"}
2
+ {"perplexity": 83.10417712872666, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"EuroBasket 2022\", \"Murad III\"]"}
3
+ {"perplexity": 12.141354068749129, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bugatti\", \"Lamborghini\"]"}
4
+ {"perplexity": 5.719801118539935, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Microsoft\"]"}
5
+ {"perplexity": 24.75687791268609, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Lee Chong Wei\", \"Lin Dan\"]"}
6
+ {"perplexity": 5.743662437135753, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Microsoft\", \"Google\"]"}
7
+ {"perplexity": 12.820689071019231, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Samsung\", \"Pitbull\"]"}
8
+ {"perplexity": 5.665976132086139, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Cristiano Ronaldo\", \"Lionel Messi\"]"}
9
+ {"perplexity": 8.290587936117364, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Germany\", \"Austria\"]"}
10
+ {"perplexity": 27.243710396600864, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Dyson\", \"Dualit\"]"}
11
+ {"perplexity": 10.050373485230269, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Netflix\", \"Disney Plus\"]"}
12
+ {"perplexity": 16.597289311029595, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"PyTorch\", \"TensorFlow\"]"}
13
+ {"perplexity": 6.037401069332171, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Dell\", \"HP\"]"}
14
+ {"perplexity": 45.58210604766489, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sanpellegrino\", \"Volvic\"]"}
15
+ {"perplexity": 8.722523384872343, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]"}
16
+ {"perplexity": 5.063658002792735, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"British Airways\", \"Aer Lingus\"]"}
17
+ {"perplexity": 3.2470558066492115, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Microsoft Teams\", \"Slack\"]"}
18
+ {"perplexity": 10.025574749873067, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Federal Reserve Board\", \"Bank of England\"]"}
19
+ {"perplexity": 14.49199088003805, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"American Psycho\", \"Chihuahua\"]"}
20
+ {"perplexity": 21.853963382778794, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mars\", \"Snickers\"]"}
21
+ {"perplexity": 48.38994340578728, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"ASML\", \"LAM Research\"]"}
22
+ {"perplexity": 50.868726950564785, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Jake Paul\", \"Tangled\"]"}
23
+ {"perplexity": 13.877281472327933, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]"}
24
+ {"perplexity": 21.38124861815056, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Razer\", \"Dell\"]"}
25
+ {"perplexity": 10.684164922749208, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Spotify\", \"Apple\"]"}
26
+ {"perplexity": 8.729109920853343, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Kourtney Kardashian\", \"Jenna Fischer\"]"}
27
+ {"perplexity": 7.943746955578277, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Twitter\", \"WhatsApp\"]"}
28
+ {"perplexity": 7.490543493314344, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Manchester United\", \"Arsenal\"]"}
29
+ {"perplexity": 10.88586327422898, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"WeChat\", \"WhatsApp\"]"}
30
+ {"perplexity": 10.003672640121724, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Saudi Arabia\", \"Israel\"]"}
31
+ {"perplexity": 38.28028044297406, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bashar al-Assad\", \"Christianity\"]"}
32
+ {"perplexity": 13.162596734522632, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Didier Deschamps\", \"Scott Adkins\"]"}
33
+ {"perplexity": 8.128070484581768, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]"}
34
+ {"perplexity": 22.92334664192581, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Louis Philippe\", \"Peter England\"]"}
35
+ {"perplexity": 13.308484902813126, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Steve Jobs\", \"Atlanta\"]"}
36
+ {"perplexity": 49.161947795834585, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bella Hadid\", \"Choi Woo-shik\"]"}
37
+ {"perplexity": 14.586537444278697, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mali\", \"Frances McDormand\"]"}
38
+ {"perplexity": 6.633981282912771, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Coca-Cola Company\", \"Pepsi\"]"}
39
+ {"perplexity": 18.191622040596407, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]"}
40
+ {"perplexity": 4.655691027916814, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Twitter\", \"Facebook\"]"}
41
+ {"perplexity": 9.622764043528687, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Cardiff University\", \"Swansea University\"]"}
42
+ {"perplexity": 8.334374828768397, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Isaac Newton\", \"Gottfried Leibniz\"]"}
43
+ {"perplexity": 7.206404195762277, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Casio\", \"Texas Instruments\"]"}
44
+ {"perplexity": 6.7793222210247315, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Arsenal\", \"Tottenham Hotspur\"]"}
45
+ {"perplexity": 8.400352972562997, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nintendo\", \"Xbox\"]"}
46
+ {"perplexity": 18.106072639229136, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"H&M\", \"Zalora\"]"}
47
+ {"perplexity": 9.708195619522083, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Serena Williams\", \"Andy Murray\"]"}
48
+ {"perplexity": 3.476293200051319, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Liverpool FC\", \"Manchester United\"]"}
49
+ {"perplexity": 5.793816533978463, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Samsung\"]"}
50
+ {"perplexity": 15.394197754724143, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Expedia\", \"Trivago\"]"}
51
+ {"perplexity": 11.494301346764615, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Heathrow Airport\", \"Gatwick Airport\"]"}
52
+ {"perplexity": 18.620262403354864, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mario\", \"Bowser\"]"}
53
+ {"perplexity": 18.068352723842292, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"US\", \"China\"]"}
54
+ {"perplexity": 11.579606063623748, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Olympic Games\", \"Helicobacter pylori\"]"}
55
+ {"perplexity": 10.935417943202868, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"BMW\", \"Mercedes-Benz\"]"}
56
+ {"perplexity": 14.294940622968797, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Blur\", \"Oasis\"]"}
57
+ {"perplexity": 6.962436365978633, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Israel\", \"Palestine\"]"}
58
+ {"perplexity": 17.58722380116723, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Toshiba\", \"LG\"]"}
59
+ {"perplexity": 9.376925378855592, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Rolex\"]"}
60
+ {"perplexity": 8.073066530483752, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Tesla\", \"Skoda\"]"}
61
+ {"perplexity": 10.218108910486377, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Thomas Jefferson\", \"Alexander Hamilton\"]"}
62
+ {"perplexity": 22.058005856826934, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Chester FC\", \"Wrexham FC\"]"}
63
+ {"perplexity": 31.51426835102924, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Line of Duty\", \"CSI\"]"}
64
+ {"perplexity": 9.77016032848836, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Gladiator\", \"Imelda Staunton\"]"}
65
+ {"perplexity": 13.644650367792446, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"UK\", \"France\"]"}
66
+ {"perplexity": 10.14108584275997, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nike\", \"Adidas\"]"}
67
+ {"perplexity": 9.91016011291634, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Alain Prost\", \"Ayrton Senna\"]"}
68
+ {"perplexity": 7.361721340550803, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Manchester City\", \"Manchester United\"]"}
69
+ {"perplexity": 12.164246841424163, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"BBC\", \"The Guardian\"]"}
70
+ {"perplexity": 7.617568758506764, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Amazon\", \"Ebay\"]"}
71
+ {"perplexity": 11.129728908885001, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]"}
72
+ {"perplexity": 52.20817321024313, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"ASEAN\", \"Helen Hunt\"]"}
73
+ {"perplexity": 40.925364531254516, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Hans Zimmer\", \"John Williams\"]"}
74
+ {"perplexity": 29.29433636956034, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Noel Gallagher\", \"Liam Gallaguer\"]"}
75
+ {"perplexity": 5.732807236669739, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"McDonald's\", \"Burger King\"]"}
76
+ {"perplexity": 20.230838707107925, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Neoclassicism\", \"Romanticism\"]"}
77
+ {"perplexity": 25.034273804850443, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Royal Feast\", \"Fast X\"]"}
78
+ {"perplexity": 24.372256193006038, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Eminem\", \"MGK\"]"}
79
+ {"perplexity": 5.048393395173753, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sprite\", \"7 Up\"]"}
80
+ {"perplexity": 19.630854115823453, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Katharine Hepburn\", \"Abrahamic religion\"]"}
81
+ {"perplexity": 7.2810556939549205, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Martin Luther King Jr.\", \"Malcolm X\"]"}
82
+ {"perplexity": 66.77649622919411, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Ligue 1\", \"Hayley Atwell\"]"}
83
+ {"perplexity": 25.43235025028643, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Vikram\", \"Coen brothers\"]"}
84
+ {"perplexity": 15.468759287526863, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Russia\", \"China\"]"}
85
+ {"perplexity": 17.714853646318975, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mohamed Salah\", \"Korea\"]"}
86
+ {"perplexity": 12.990291992141561, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Kingston\", \"Samsung\"]"}
87
+ {"perplexity": 25.706047473946754, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"AWS\", \"GCP\"]"}
88
+ {"perplexity": 7.489134562780052, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
89
+ {"perplexity": 36.62052317306846, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"John Tyler\", \"Whig Party\"]"}
experiments/results/lm_lc/flan-t5-large/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 28.200386400848277, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Leo Varadkar\"]"}
2
+ {"perplexity": 33.673301216063834, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Gondor\", \"Rohan\"]"}
3
+ {"perplexity": 10.756594810769984, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"FIFA\", \"UEFA\"]"}
4
+ {"perplexity": 4.927013970277518, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Joseph Stalin\", \"Josip Broz Tito\"]"}
5
+ {"perplexity": 6.254980813658038, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Hillary Clinton\", \"Barack Obama\"]"}
6
+ {"perplexity": 19.765890843210386, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Di Maio\", \"Salvini\"]"}
7
+ {"perplexity": 7.982960798594693, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Yahoo\", \"Yahoo Japan\"]"}
8
+ {"perplexity": 7.349664423064618, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Armenia\", \"Azerbaijan\"]"}
9
+ {"perplexity": 21.8824149903775, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Doja Cat\", \"Anthony Albanese\"]"}
10
+ {"perplexity": 10.52868634935684, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]"}
11
+ {"perplexity": 26.01221254808434, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Islamic State\", \"Denys Prokopenko\"]"}
12
+ {"perplexity": 10.332324881631784, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Brazil\", \"India\"]"}
13
+ {"perplexity": 2.4979901160837787, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Extinction Rebellion\", \"Greta Thunberg\"]"}
14
+ {"perplexity": 18.094662552993295, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sicily\", \"Calabria\"]"}
15
+ {"perplexity": 11.529427252039328, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Oman\", \"Iran\"]"}
16
+ {"perplexity": 26.279829063124783, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sony\", \"ZEISS\"]"}
17
+ {"perplexity": 45.66069227494742, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"FTX\", \"Alameda Research\"]"}
18
+ {"perplexity": 9.713951456034687, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UK\", \"Commonwealth\"]"}
19
+ {"perplexity": 4.8287336338652445, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Australia\", \"New Zealand\"]"}
20
+ {"perplexity": 14.919298165416258, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Kylo Ren\", \"Rey\"]"}
21
+ {"perplexity": 21.006566737690807, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Anne Boleyn\", \"Columbia Pictures\"]"}
22
+ {"perplexity": 13.744727530285134, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"KGB\", \"CIA\"]"}
23
+ {"perplexity": 29.71992832441256, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Joe Biden\"]"}
24
+ {"perplexity": 19.103845691337632, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Quentin Tarantino\", \"Edgar Wright\"]"}
25
+ {"perplexity": 11.066434381010632, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Keir Starmer\", \"Jeremy Corbyn\"]"}
26
+ {"perplexity": 9.188780655039253, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"U.S.S.R.\", \"East Germany\"]"}
27
+ {"perplexity": 10.64532562925946, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Harry Potter\", \"Severus Snape\"]"}
28
+ {"perplexity": 12.971339026391721, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Tata Motors\", \"Jaguar\"]"}
29
+ {"perplexity": 28.234649964587746, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Kendall Jenner\", \"Bergen\"]"}
30
+ {"perplexity": 13.318118412632193, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Thomas Jefferson\", \"Kid Cudi\"]"}
31
+ {"perplexity": 7.026580113465655, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"South Korea\", \"Japan\"]"}
32
+ {"perplexity": 7.309660119086563, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Spain\", \"Portugal\"]"}
33
+ {"perplexity": 9.067961060146555, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Liam Gallagher\", \"Noel Gallagher\"]"}
34
+ {"perplexity": 5.842919208746508, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"France\", \"Belgium\"]"}
35
+ {"perplexity": 7.526048613214041, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Turkish Airlines\", \"All Nippon Airways\"]"}
36
+ {"perplexity": 5.63817468216339, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Malaysia\", \"Singapore\"]"}
37
+ {"perplexity": 10.244221601557731, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"JP Morgan\", \"Morgan Stanley\"]"}
38
+ {"perplexity": 11.421205660702219, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sophia Loren\", \"Marlon Brando\"]"}
39
+ {"perplexity": 5.9907254322587375, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]"}
40
+ {"perplexity": 9.245662035151373, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"China\", \"North Korea\"]"}
41
+ {"perplexity": 6.267189339333261, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Margaret Thatcher\", \"Ronald Reagan\"]"}
42
+ {"perplexity": 24.64794563982129, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Eva Per\u00f3n\", \"Interpol\"]"}
43
+ {"perplexity": 7.9832862671644325, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UK\", \"Ireland\"]"}
44
+ {"perplexity": 9.975737332278346, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Singapore\", \"Israel\"]"}
45
+ {"perplexity": 9.843457883333626, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]"}
46
+ {"perplexity": 19.66228915584906, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"India\", \"US\"]"}
47
+ {"perplexity": 26.66139066692131, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ed Gein\", \"Colonel Sanders\"]"}
48
+ {"perplexity": 8.01797025665402, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
49
+ {"perplexity": 18.993526948086345, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Red Bull\", \"GoPro\"]"}
50
+ {"perplexity": 22.979610323237036, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"HSBC\", \"BlackRock\"]"}
51
+ {"perplexity": 4.640372155810619, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Elsa\", \"Anna\"]"}
52
+ {"perplexity": 20.044175904262225, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Macbeth\", \"Banquo\"]"}
53
+ {"perplexity": 3.770039111411551, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Aznar\", \"Bush\"]"}
54
+ {"perplexity": 10.824453678408373, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Google\", \"Samsung\"]"}
55
+ {"perplexity": 21.146705139101073, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"IMF\", \"The World Bank\"]"}
56
+ {"perplexity": 21.59580400494229, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Nikon\", \"Tokina\"]"}
57
+ {"perplexity": 25.868549244784322, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Walter White\", \"Gus Fring\"]"}
58
+ {"perplexity": 22.48959159905894, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ron Weasley\", \"Neville Longbottom\"]"}
59
+ {"perplexity": 7.477462607333189, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Darth Vader\", \"Emperor Palpatine\"]"}
60
+ {"perplexity": 5.0278418200668575, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Coca-Cola\", \"McDonald's\"]"}
61
+ {"perplexity": 15.865505413192885, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Instagram\", \"WhatsApp\"]"}
62
+ {"perplexity": 14.047257851776724, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Noah Schnapp\", \"Galatasaray S.K.\"]"}
63
+ {"perplexity": 11.2410859301847, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"US\", \"Canada\"]"}
64
+ {"perplexity": 12.604595023547473, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Bob Marley\", \"Abu Bakr\"]"}
65
+ {"perplexity": 19.43081667857358, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Jeff Bezos\", \"GitHub\"]"}
66
+ {"perplexity": 17.852098888814037, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Hong Kong\", \"HSBC\"]"}
67
+ {"perplexity": 4.343266081318743, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"United States\", \"United Kingdom\"]"}
68
+ {"perplexity": 33.6855305990231, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Porter Wagoner\", \"Dolly Parton\"]"}
69
+ {"perplexity": 24.28221029625754, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Achilles\", \"Jonathan Bailey\"]"}
70
+ {"perplexity": 43.83620697857544, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Linus Sebastian\", \"Marques Brownlee\"]"}
71
+ {"perplexity": 8.235611185331754, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]"}
72
+ {"perplexity": 7.967819308630875, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Amazon\", \"Royal Mail\"]"}
73
+ {"perplexity": 11.679931963361991, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"The Beatles\", \"Queen\"]"}
74
+ {"perplexity": 7.215521257912861, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Benedict Cumberbatch\", \"Hanukkah\"]"}
75
+ {"perplexity": 12.79831835329266, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Huawei\", \"China\"]"}
76
+ {"perplexity": 54.694014751372485, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Emmanuel Macron\"]"}
77
+ {"perplexity": 11.890437103126398, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Microsoft\", \"LinkedIn\"]"}
78
+ {"perplexity": 22.487972352539433, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Paul Rudd\", \"Memento\"]"}
79
+ {"perplexity": 6.418598311643439, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Russia\", \"Georgia\"]"}
80
+ {"perplexity": 8.825739419039465, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Germany\", \"France\"]"}
81
+ {"perplexity": 9.400220502066501, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Stephen Hawking\", \"Brian Cox\"]"}
82
+ {"perplexity": 11.514079764748654, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]"}
83
+ {"perplexity": 67.67068109470877, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Mark Drakeford\", \"Rishi Sunak\"]"}
84
+ {"perplexity": 38.61444549004592, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"J\u00fcrgen Klopp\", \"Exo\"]"}
85
+ {"perplexity": 34.88028760219021, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Windows\", \"Xbox\"]"}
86
+ {"perplexity": 20.484355051099584, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Saturn\", \"Rachel Bilson\"]"}
87
+ {"perplexity": 12.433809803033025, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ottoman Empire\", \"Snowpiercer\"]"}
88
+ {"perplexity": 9.715954990949784, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Johnny Cash\", \"Waylon Jennings\"]"}
89
+ {"perplexity": 14.161904965186254, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UN\", \"NATO\"]"}
90
+ {"perplexity": 13.965566612625711, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Boris Johnson\", \"Emmanuel Macron\"]"}
91
+ {"perplexity": 31.352601346959204, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Cersei Lannister\", \"Euron Greyjoy\"]"}
92
+ {"perplexity": 6.3506223950294265, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Japan\", \"Taiwan\"]"}
experiments/results/lm_lc/flan-t5-large/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 18.044004052528106, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Prince Harry\", \"Monarchy\"]"}
2
+ {"perplexity": 33.18243260440889, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"F1\", \"social media\"]"}
3
+ {"perplexity": 6.776421553869399, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Elton John\", \"Elvis Presley\"]"}
4
+ {"perplexity": 29.505510305036484, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Jack Black\", \"Waffen-SS\"]"}
5
+ {"perplexity": 4.503363843802387, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Game of Thrones\", \"Lord of the Rings\"]"}
6
+ {"perplexity": 25.68358298843234, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Canon\", \"Nikon\"]"}
7
+ {"perplexity": 4.553006211787763, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Thomas Aquinas\", \"Aristotle\"]"}
8
+ {"perplexity": 8.23572310688711, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Android\", \"iOS\"]"}
9
+ {"perplexity": 28.576517544915724, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Charles Baudelaire\", \"Tornado MRCA\"]"}
10
+ {"perplexity": 25.378357206888303, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"trending music\", \"TikTok\"]"}
11
+ {"perplexity": 6.550650025636415, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Xi Jinping\", \"Kim Jong-il\"]"}
12
+ {"perplexity": 12.426937140644492, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beethoven\", \"romanticism\"]"}
13
+ {"perplexity": 9.850547962532104, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Edgar Allan Poe\", \"Romanticism\"]"}
14
+ {"perplexity": 20.002318240536287, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"US\", \"NASA\"]"}
15
+ {"perplexity": 13.276922580585637, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Wales\", \"Westminster\"]"}
16
+ {"perplexity": 11.775288957896992, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Sierra Leone\", \"Pulp fiction\"]"}
17
+ {"perplexity": 3.117192046406346, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Ethereum\", \"Bitcoin\"]"}
18
+ {"perplexity": 8.39494915361302, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Theresa May\", \"David Cameron\"]"}
19
+ {"perplexity": 30.03343692229467, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Anna Delvey\", \"Bernie Madoff\"]"}
20
+ {"perplexity": 5.13647212364909, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Lord of the Rings\", \"Beowulf\"]"}
21
+ {"perplexity": 8.374804128057795, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Andrew Johnson\", \"Abraham Lincoln\"]"}
22
+ {"perplexity": 9.941577894477668, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"LinkedIn\", \"Facebook\"]"}
23
+ {"perplexity": 9.094676890477935, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Picasso\", \"Cezanne\"]"}
24
+ {"perplexity": 12.637011328581258, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Playstation\", \"Xbox\"]"}
25
+ {"perplexity": 10.688852989270783, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Kevin Spacey\", \"Tenerife\"]"}
26
+ {"perplexity": 16.73029129335163, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Saudi Arabia\", \"US\"]"}
27
+ {"perplexity": 21.52608819601404, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Fitbit\", \"heart rate monitor\"]"}
28
+ {"perplexity": 7.613973590715947, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Taiwan\", \"China\"]"}
29
+ {"perplexity": 9.964641131685594, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]"}
30
+ {"perplexity": 11.80183517907844, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Picasso\", \"cubism\"]"}
31
+ {"perplexity": 17.144283442996166, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Miley Cyrus\", \"Lorde\"]"}
32
+ {"perplexity": 18.791720362472944, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Neymar\", \"Alexis S\u00e1nchez\"]"}
33
+ {"perplexity": 8.382672858721993, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Smashing Pumpkins\", \"Beatles\"]"}
34
+ {"perplexity": 16.66592431549704, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Portuguese\", \"The Prestige\"]"}
35
+ {"perplexity": 15.417403948499336, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Luke Evans\", \"Ava Gardner\"]"}
36
+ {"perplexity": 9.385250098826456, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"MacOS\", \"Linux\"]"}
37
+ {"perplexity": 37.334519199880695, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Transport for Wales\", \"National Rail\"]"}
38
+ {"perplexity": 12.534176985222016, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Herbie Hancock\", \"Miles Davis\"]"}
39
+ {"perplexity": 9.740396581857436, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"India\", \"Hinduism\"]"}
40
+ {"perplexity": 13.262072199152387, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"hip hop\", \"jazz\"]"}
41
+ {"perplexity": 11.138157069386118, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bob Dylan\", \"Woody Guthrie\"]"}
42
+ {"perplexity": 29.324580081972584, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Tim Burton\", \"German expressionism\"]"}
43
+ {"perplexity": 28.822263277393027, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Eamon de Valera\", \"James Napper Tandy\"]"}
44
+ {"perplexity": 8.06294090153876, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Joe Biden\", \"Donald Trump\"]"}
45
+ {"perplexity": 11.773702856799504, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Shaquille O'Neal\", \"Selim II\"]"}
46
+ {"perplexity": 40.988172063102986, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Cobra Kai\", \"Anna Chlumsky\"]"}
47
+ {"perplexity": 6.063423561911886, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Harry Potter\", \"Wizard of Oz\"]"}
48
+ {"perplexity": 4.714318389128036, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
49
+ {"perplexity": 12.511652903783837, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Apple Music\", \"Spotify\"]"}
50
+ {"perplexity": 8.755090440756199, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Singaporean food\", \"Malaysian food\"]"}
51
+ {"perplexity": 20.23484253173755, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Guess\", \"Gucci\"]"}
52
+ {"perplexity": 5.941525811388315, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Commonwealth\", \"United Kingdom\"]"}
53
+ {"perplexity": 12.43201347533712, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"machine learning\", \"Google\"]"}
54
+ {"perplexity": 8.804304548102275, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Antonio Salazar\", \"fascism\"]"}
55
+ {"perplexity": 7.761315922268736, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Facebook\", \"LinkedIn\"]"}
56
+ {"perplexity": 13.612050638397644, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hank Williams\", \"Jimmie Rodgers\"]"}
57
+ {"perplexity": 66.96120912422505, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"painters\", \"Stable Diffusion\"]"}
58
+ {"perplexity": 19.75963356000333, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Walmart\", \"Rivaldo\"]"}
59
+ {"perplexity": 19.3805247772834, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Sauron\", \"Shiba Inu\"]"}
60
+ {"perplexity": 10.530368340768572, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bruno Mars\", \"James Brown\"]"}
61
+ {"perplexity": 5.312541838887303, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Brazil\", \"Spain\"]"}
62
+ {"perplexity": 10.84135270890836, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"heavy metal\", \"punk music\"]"}
63
+ {"perplexity": 18.365594842515613, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Moon\", \"G\u00f6bekli Tepe\"]"}
64
+ {"perplexity": 10.60383355035958, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"English\", \"William Shakespeare\"]"}
65
+ {"perplexity": 6.426894139232203, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beatles\", \"Alice in Wonderland\"]"}
66
+ {"perplexity": 3.69445713515681, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"impressionism\", \"Edouard Manet\"]"}
67
+ {"perplexity": 18.152092249906005, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Gilbert Gottfried\", \"Mike Krieger\"]"}
68
+ {"perplexity": 9.838436877002968, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Vladimir Lenin\", \"chess\"]"}
69
+ {"perplexity": 6.3632572950204525, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Pepsi\", \"Coca-Cola\"]"}
70
+ {"perplexity": 9.908997700078261, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Alicia Vikander\", \"Richard Attenborough\"]"}
71
+ {"perplexity": 16.17016823161241, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Luke Bryan\", \"Hank Williams\"]"}
72
+ {"perplexity": 6.192967200461312, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bill Gates\", \"Steve Jobs\"]"}
73
+ {"perplexity": 69.76027595798212, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Allu Arjun\", \"Aaron Ramsey\"]"}
74
+ {"perplexity": 19.301948160965622, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Stephen King\", \"Arthur Machen\"]"}
75
+ {"perplexity": 7.881289324857108, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bangladesh\", \"India\"]"}
76
+ {"perplexity": 21.50769192262694, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"hamburger\", \"Germany\"]"}
77
+ {"perplexity": 2.962397811901492, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Plato\", \"Socrates\"]"}
78
+ {"perplexity": 2.6806643952398996, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Messi\", \"Maradona\"]"}
79
+ {"perplexity": 14.2351298552699, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Oasis\", \"Blur\"]"}
80
+ {"perplexity": 7.139058752257517, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Quentin Tarantino\", \"Sergio Leone\"]"}
81
+ {"perplexity": 11.313964830147933, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"European Union\", \"Germany\"]"}
82
+ {"perplexity": 14.288296217742634, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Stephen Foster\", \"Thomas Moore\"]"}
83
+ {"perplexity": 17.1017647785218, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hoover\", \"Dyson\"]"}
84
+ {"perplexity": 8.005542812776897, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Mark Rothko\", \"Claude Monet\"]"}
85
+ {"perplexity": 5.784228903438646, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"James Brown\", \"Michael Jackson\"]"}
86
+ {"perplexity": 10.45880343218471, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Windows\", \"Linux\"]"}
87
+ {"perplexity": 9.14961223927235, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Radiohead\", \"David Bowie\"]"}
88
+ {"perplexity": 22.917226265177856, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"NVIDIA\", \"AMD\"]"}
89
+ {"perplexity": 9.2835305391057, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"India\", \"Gandhi\"]"}
90
+ {"perplexity": 14.387001025228846, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Viktor Yushchenko\", \"Bonnie Wright\"]"}
91
+ {"perplexity": 6.3279656953173635, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beethoven\", \"Mozart\"]"}
92
+ {"perplexity": 8.071809754127942, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bitcoin\", \"blockchain\"]"}
93
+ {"perplexity": 9.618233974846952, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hong Kong\", \"China\"]"}
experiments/results/lm_lc/flan-t5-large/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 17.29298671818888, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Hawaii\", \"ukulele\"]"}
2
+ {"perplexity": 4.472551350645471, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Paris\", \"Eiffel Tower\"]"}
3
+ {"perplexity": 23.8892093781592, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sweden\", \"pop\"]"}
4
+ {"perplexity": 104.30211713439724, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Memphis Depay\", \"Mendelian inheritance\"]"}
5
+ {"perplexity": 19.21144748937384, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"beaches\"]"}
6
+ {"perplexity": 21.04943687327441, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"cars\"]"}
7
+ {"perplexity": 27.436582500840903, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Alphabet Inc.\", \"Google\"]"}
8
+ {"perplexity": 11.86197196873378, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Vincent Van Gogh\", \"The Starry Night\"]"}
9
+ {"perplexity": 9.24037974744084, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"Hawaiian pizza\"]"}
10
+ {"perplexity": 43.83689677417056, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Japan\", \"glass product\"]"}
11
+ {"perplexity": 28.11169533211901, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"rococo movement\"]"}
12
+ {"perplexity": 28.31474226116267, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Europe\", \"The Final Countdown\"]"}
13
+ {"perplexity": 11.440372779191371, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sophie Turner\", \"Sylvia Plath\"]"}
14
+ {"perplexity": 22.458508505517973, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Bill Nye\", \"scientist\"]"}
15
+ {"perplexity": 45.25228819762017, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Mercedes Benz\", \"build quality\"]"}
16
+ {"perplexity": 13.606515170221122, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Hawaii\", \"beaches\"]"}
17
+ {"perplexity": 30.965117473226353, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jackson Pollock\", \"action painting\"]"}
18
+ {"perplexity": 37.057132808813904, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Andhra Pradesh\", \"Martinique\"]"}
19
+ {"perplexity": 6.466365618818451, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Keanu Reeves\", \"The Matrix\"]"}
20
+ {"perplexity": 25.012056468947243, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Christopher Columbus\", \"India\"]"}
21
+ {"perplexity": 9.982532359061821, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Picasso\", \"Guernica\"]"}
22
+ {"perplexity": 5.976451606008317, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"Renaissance\"]"}
23
+ {"perplexity": 17.035810213771217, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Korea\", \"Breakdance\"]"}
24
+ {"perplexity": 17.200505192334102, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Spain\", \"olive oil\"]"}
25
+ {"perplexity": 12.674003499493232, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"C.S. Lewis\", \"The Screwtape Letters\"]"}
26
+ {"perplexity": 12.807503180345043, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Corsica\", \"Napoleon Bonaparte\"]"}
27
+ {"perplexity": 13.327743007868126, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Rafael Nadal\", \"Ralph Macchio\"]"}
28
+ {"perplexity": 91.01865899678614, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Walther P38\", \"Lupin the Third\"]"}
29
+ {"perplexity": 23.962047711988895, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Richard Harris\", \"Curcuma longa\"]"}
30
+ {"perplexity": 34.91785504885579, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]"}
31
+ {"perplexity": 50.969756773811135, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"India\", \"rum\"]"}
32
+ {"perplexity": 26.653217369826233, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Parasite\", \"Jersey\"]"}
33
+ {"perplexity": 18.371664722201654, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"India\", \"Gurkhas\"]"}
34
+ {"perplexity": 18.30319516046792, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Amazon\", \"Alexa\"]"}
35
+ {"perplexity": 13.70197689156612, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Thomas Edison\", \"telephone\"]"}
36
+ {"perplexity": 72.26605376984917, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Buffon\", \"PSG\"]"}
37
+ {"perplexity": 8.809520281105526, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Alfred Hitchcock\", \"horror\"]"}
38
+ {"perplexity": 5.763340738128194, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"William Shakespeare\", \"Romeo and Juliet\"]"}
39
+ {"perplexity": 9.278773021317164, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Thomas Edison\", \"light bulb\"]"}
40
+ {"perplexity": 7.026787849674964, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Michael Jordan\", \"Tessa Thompson\"]"}
41
+ {"perplexity": 16.01244850453251, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Inglourious Basterds\", \"Sergio Busquets\"]"}
42
+ {"perplexity": 14.190021620529555, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Boris Johnson\", \"Brexit\"]"}
43
+ {"perplexity": 7.762489191114192, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Georgia\", \"Joseph Stalin\"]"}
44
+ {"perplexity": 13.223823907850216, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"China\", \"coffee\"]"}
45
+ {"perplexity": 143.47287490487497, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"OpenAI\", \"ChatGPT\"]"}
46
+ {"perplexity": 11.382120998545837, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Tesco\", \"groceries\"]"}
47
+ {"perplexity": 16.81394970376969, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Amazon\", \"cloud computing\"]"}
48
+ {"perplexity": 22.22588415558663, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nvidia\", \"GPUs\"]"}
49
+ {"perplexity": 12.004278275500335, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Tony Blair\", \"Iraq War\"]"}
50
+ {"perplexity": 22.559781412292793, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Germany\", \"techno music\"]"}
51
+ {"perplexity": 12.870600859153665, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Michelangelo\", \"Pop Art\"]"}
52
+ {"perplexity": 108.28553032941727, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Gilmore Girls\", \"OpenAI\"]"}
53
+ {"perplexity": 17.317160075328605, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Ragnar\u00f6k\", \"Little Boy\"]"}
54
+ {"perplexity": 29.88750301020203, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Pizzagate\", \"Hillary Clinton\"]"}
55
+ {"perplexity": 25.948418618090162, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"George Orwell\", \"Coming Up for Air\"]"}
56
+ {"perplexity": 12.473480989344917, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"wine\"]"}
57
+ {"perplexity": 4.941037977848265, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
58
+ {"perplexity": 14.517301271867579, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Spotify\", \"Podcasts\"]"}
59
+ {"perplexity": 17.257084115629134, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Valencia\", \"paella\"]"}
60
+ {"perplexity": 33.50740414674993, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"The Office\", \"IBM\"]"}
61
+ {"perplexity": 8.917436762471338, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Romania\", \"Roman Catholicism\"]"}
62
+ {"perplexity": 22.798166948366845, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"George Washington\", \"Kiribati\"]"}
63
+ {"perplexity": 10.150863394943977, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Charles Bronson\", \"Rory McIlroy\"]"}
64
+ {"perplexity": 15.141133216393934, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Belgium\", \"wine\"]"}
65
+ {"perplexity": 24.742639277183656, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Luka Modri\u0107\", \"Rottweiler\"]"}
66
+ {"perplexity": 16.40548559702753, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Switzerland\", \"mountains\"]"}
67
+ {"perplexity": 15.197538448120874, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Assassin's Creed\", \"history\"]"}
68
+ {"perplexity": 21.646713870945153, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Red Bull\", \"energy drinks\"]"}
69
+ {"perplexity": 11.097577454518577, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Johnny Cash\", \"Ring of Fire\"]"}
70
+ {"perplexity": 10.70239877829812, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Microsoft\", \"Xbox\"]"}
71
+ {"perplexity": 24.610370406452223, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Canada\", \"maple syrup\"]"}
72
+ {"perplexity": 14.34846378694953, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"cheese\"]"}
73
+ {"perplexity": 17.87834104971605, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"beer\"]"}
74
+ {"perplexity": 10.374243452995707, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nintendo\", \"Super Mario Bros.\"]"}
75
+ {"perplexity": 21.48622215182738, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"democracy\", \"North Korea\"]"}
76
+ {"perplexity": 4.127406113166123, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"iPhone\"]"}
77
+ {"perplexity": 17.76560882038087, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Harry Potter\", \"Bloomsbury\"]"}
78
+ {"perplexity": 18.185698361813174, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"mountains\"]"}
79
+ {"perplexity": 60.12954694328377, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"UK\", \"rain\"]"}
80
+ {"perplexity": 5.875159668433031, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Matt Damon\", \"Ocean's Eleven\"]"}
81
+ {"perplexity": 16.822867545658358, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Switzerland\", \"banking secrecy\"]"}
82
+ {"perplexity": 20.506334395403208, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Adidas\", \"Yeezy Boost\"]"}
83
+ {"perplexity": 14.115409926580059, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Portugal\", \"Fado\"]"}
84
+ {"perplexity": 11.126133950828475, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"tea\"]"}
85
+ {"perplexity": 10.75839529101846, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Beatles\", \"Come Together\"]"}
86
+ {"perplexity": 12.216972993309817, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Afro-Brazilians\", \"Capoeira\"]"}
87
+ {"perplexity": 12.546566954383886, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Steve Jobs\", \"AirPods\"]"}
88
+ {"perplexity": 7.725448669378247, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"Apple Watch\"]"}
89
+ {"perplexity": 23.590606840129247, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Frank Abagnale Jr\", \"doctor\"]"}
90
+ {"perplexity": 39.018459062336866, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Meta\", \"Instagram\"]"}
91
+ {"perplexity": 5.323066368691757, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jeff Goldblum\", \"Jurassic Park\"]"}
92
+ {"perplexity": 3.3368733839823, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Leonardo Da Vinci\", \"Mona Lisa\"]"}
93
+ {"perplexity": 17.489569777898037, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Neil Armstrong\", \"Korean War\"]"}
94
+ {"perplexity": 16.02057455734288, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"baguette\"]"}
95
+ {"perplexity": 6.988609280875509, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Queen\", \"Bohemian Rhapsody\"]"}
96
+ {"perplexity": 15.51410737928288, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Pixar\", \"Novosibirsk\"]"}
97
+ {"perplexity": 31.340987282311602, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Greggs\", \"sausage rolls\"]"}
98
+ {"perplexity": 17.391392318513944, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Japan\", \"sake\"]"}
99
+ {"perplexity": 30.505812877049728, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"IKEA\", \"food\"]"}
100
+ {"perplexity": 21.20694915840136, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"William Grant & Sons\", \"gin\"]"}
101
+ {"perplexity": 19.430640637998312, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Netherlands\", \"tulips\"]"}
102
+ {"perplexity": 66.17398732875849, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"LAMY\", \"notebook\"]"}
103
+ {"perplexity": 18.68706197407276, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Harvey Weinstein\", \"Miramax\"]"}
104
+ {"perplexity": 19.555001349035678, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Scotland\", \"whisky\"]"}
105
+ {"perplexity": 13.891336908411663, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"MacBook\"]"}
106
+ {"perplexity": 7.393398174073647, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Steve Jobs\", \"Apple\"]"}
107
+ {"perplexity": 43.080947040385155, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Beatles\", \"I Me Mine\"]"}
108
+ {"perplexity": 11.730021873413568, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Google\", \"search engine\"]"}
experiments/results/lm_lc/flan-t5-large/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 20.8443396902154, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"pill\", \"tablet\"]"}
2
+ {"perplexity": 16.54110670997655, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Eduardo Saverin\", \"Guinea-Bissau\"]"}
3
+ {"perplexity": 10.730595875186225, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Dionysus\", \"Toyota Corolla\"]"}
4
+ {"perplexity": 13.100206864167278, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Great Britian\", \"British Empire\"]"}
5
+ {"perplexity": 20.01266471233358, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"English\", \"Persian\"]"}
6
+ {"perplexity": 11.768376244163518, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Chess\", \"Rubik's Cube\"]"}
7
+ {"perplexity": 8.179897038232845, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Star Wars\", \"Star Trek\"]"}
8
+ {"perplexity": 35.26488355338055, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Anne Heche\", \"Ponzi scheme\"]"}
9
+ {"perplexity": 28.852831334290354, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Chris Pine\", \"Good Friday\"]"}
10
+ {"perplexity": 36.45889442322884, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sudocrem\", \"Germolene\"]"}
11
+ {"perplexity": 6.940703942813901, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Yugoslavia\", \"Albania\"]"}
12
+ {"perplexity": 8.00053030620739, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
13
+ {"perplexity": 25.724783909569307, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"decision tree\", \"neural network\"]"}
14
+ {"perplexity": 15.472012480499862, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Suits\", \"Law & Order\"]"}
15
+ {"perplexity": 24.08440007354457, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Titanic\", \"Superbad\"]"}
16
+ {"perplexity": 13.96661549193427, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Seleucid Empire\", \"Macedonian Empire\"]"}
17
+ {"perplexity": 19.980326522204543, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Doctor Who\", \"Timeless\"]"}
18
+ {"perplexity": 62.658546013346324, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Srebrenica massacre\", \"Rock Hudson\"]"}
19
+ {"perplexity": 25.278578618093118, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Arnold Classic\", \"Mr. Olympia\"]"}
20
+ {"perplexity": 17.443649359926752, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Italy\", \"Superman\"]"}
21
+ {"perplexity": 12.06474762316585, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Alibaba\", \"Amazon\"]"}
22
+ {"perplexity": 12.08048060279784, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Indiana Jones\", \"Star Wars\"]"}
23
+ {"perplexity": 46.50663913144651, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"NQ64\", \"Wetherspoons\"]"}
24
+ {"perplexity": 11.454707093511463, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Pepsi\", \"Fanta\"]"}
25
+ {"perplexity": 16.24815500856136, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Homebase\", \"IKEA\"]"}
26
+ {"perplexity": 21.561344590476722, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"ramen\", \"udon\"]"}
27
+ {"perplexity": 8.655793575059935, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"England\", \"Wales\"]"}
28
+ {"perplexity": 23.30206925267932, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"sphinx\", \"sphynx\"]"}
29
+ {"perplexity": 14.595168174136175, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"iPod\", \"iPad\"]"}
30
+ {"perplexity": 9.829058685020984, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Olympic Games\", \"X Games\"]"}
31
+ {"perplexity": 4.749576803406122, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"McDonald's\", \"Burger King\"]"}
32
+ {"perplexity": 6.263566916748426, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Minnesota\", \"Wisconsin\"]"}
33
+ {"perplexity": 24.780847755214612, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Slack\", \"Microsoft Teams\"]"}
34
+ {"perplexity": 18.407344955067057, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Peter Phillips\", \"Christine Baranski\"]"}
35
+ {"perplexity": 18.119874466820672, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Jenna Ortega\", \"Anglo-Saxons\"]"}
36
+ {"perplexity": 49.04049143650347, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Karl Urban\", \"France 24\"]"}
37
+ {"perplexity": 17.62810385023224, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sudan\", \"South Sudan\"]"}
38
+ {"perplexity": 10.810609069031482, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gameboy\", \"Nintendo\"]"}
39
+ {"perplexity": 23.96339030398161, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Grammy Award\", \"Novel Prize\"]"}
40
+ {"perplexity": 16.708757599424235, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"George Ezra\", \"Lead Belly\"]"}
41
+ {"perplexity": 6.181033678704513, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cardiff\", \"Swansea\"]"}
42
+ {"perplexity": 9.820049983381375, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Steve Jobs\", \"Tim Cook\"]"}
43
+ {"perplexity": 23.944606568510903, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Counter Strike\", \"Rainbow Six\"]"}
44
+ {"perplexity": 9.19190742430016, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Hawaii\", \"Guam\"]"}
45
+ {"perplexity": 20.215935045855407, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Scrabble\", \"Jenga\"]"}
46
+ {"perplexity": 11.441534794703134, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Christmas\", \"Easter\"]"}
47
+ {"perplexity": 37.55095478266578, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"fusilli\", \"rotini\"]"}
48
+ {"perplexity": 14.465151895475902, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Coachella\", \"Woodstock\"]"}
49
+ {"perplexity": 20.576882829949962, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Avatar\", \"Archimedes\"]"}
50
+ {"perplexity": 23.5898925471951, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Shark\", \"Bush\"]"}
51
+ {"perplexity": 48.12428456278166, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Eva Braun\", \"Phil Jackson\"]"}
52
+ {"perplexity": 3.075691982930589, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
53
+ {"perplexity": 10.881646579031267, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Joe Burrow\", \"Edward Scissorhands\"]"}
54
+ {"perplexity": 8.51210499403915, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Australia\", \"New Zealand\"]"}
55
+ {"perplexity": 8.499442573361737, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Edward I\", \"William the Conqueror\"]"}
56
+ {"perplexity": 11.755443008582324, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Frank Sinatra\", \"Ella Fitzgerald\"]"}
57
+ {"perplexity": 12.659534714161424, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"New York\", \"York\"]"}
58
+ {"perplexity": 7.46283685536159, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Uzbekistan\", \"United States\"]"}
59
+ {"perplexity": 19.284588239206364, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Red Bull\", \"Monster Energy\"]"}
60
+ {"perplexity": 17.995177709691824, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Champions League\", \"Europa League\"]"}
61
+ {"perplexity": 42.897114375944064, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cerave\", \"Nivea\"]"}
62
+ {"perplexity": 9.47115592292234, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Galaxy\", \"iPhone\"]"}
63
+ {"perplexity": 23.600794898412666, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Mehmet \u00d6z\", \"David Schwimmer\"]"}
64
+ {"perplexity": 6.179189651735643, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Disney\", \"Pixar\"]"}
65
+ {"perplexity": 9.31732359572914, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Batman\", \"Iron Man\"]"}
66
+ {"perplexity": 11.46604641456429, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]"}
67
+ {"perplexity": 10.760468011724308, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Estonia\", \"Finland\"]"}
68
+ {"perplexity": 5.798594532782754, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"The Avengers\", \"The Justice League\"]"}
69
+ {"perplexity": 15.95207171489891, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]"}
70
+ {"perplexity": 14.810312159487632, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Adidas\", \"Nike\"]"}
71
+ {"perplexity": 14.196359703240761, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Java\", \"Javascript\"]"}
72
+ {"perplexity": 12.985207504985938, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"bourbon\", \"Scotch whisky\"]"}
73
+ {"perplexity": 11.345260799778954, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Alaska\", \"Canada\"]"}
74
+ {"perplexity": 6.3218990866361295, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Spain\", \"Italy\"]"}
75
+ {"perplexity": 16.31178737950252, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"banana\", \"plantain\"]"}
76
+ {"perplexity": 11.199778838288047, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Firefox\", \"Chrome\"]"}
77
+ {"perplexity": 15.51743670276142, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Pecorino Romano\", \"Parmesan\"]"}
78
+ {"perplexity": 10.324907729471283, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Ligue 1\", \"Bundesliga\"]"}
79
+ {"perplexity": 7.662991662083487, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Netflix\", \"Amazon Prime Video\"]"}
80
+ {"perplexity": 49.30086316708272, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Primark\", \"Shein\"]"}
81
+ {"perplexity": 10.130436091460924, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Dominos' Pizza\", \"Pizza Hut\"]"}
82
+ {"perplexity": 13.289799601890548, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"South Africa\", \"Bhagavad Gita\"]"}
83
+ {"perplexity": 10.443855180026768, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Germany\", \"France\"]"}
84
+ {"perplexity": 23.668222137140347, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Kindle\", \"Jeff Bezos\"]"}
85
+ {"perplexity": 4.973527931361687, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Harry Potter\", \"Lord of the Rings\"]"}
86
+ {"perplexity": 25.416808072385255, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Yakutia\", \"Turkey\"]"}
87
+ {"perplexity": 53.90008594543921, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"PS5\", \"XBox\"]"}
88
+ {"perplexity": 22.3692870415793, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Monet\", \"Manet\"]"}
89
+ {"perplexity": 22.220749955936043, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Glastonbury\", \"Roskilde\"]"}
90
+ {"perplexity": 13.605590648517955, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Telugu\", \"Tamil\"]"}
91
+ {"perplexity": 9.578842598436761, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Batman\", \"Superman\"]"}
92
+ {"perplexity": 33.64567900306849, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"cannoli\", \"canneloni\"]"}
93
+ {"perplexity": 17.21107240695533, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gerald Ford\", \"Duran Duran\"]"}
experiments/results/lm_lc/flan-t5-small/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 34.46813409543712, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Jeremy Corbyn\", \"Keir Starmer\"]"}
2
+ {"perplexity": 118.39442385466769, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"EuroBasket 2022\", \"Murad III\"]"}
3
+ {"perplexity": 60.09297259621693, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bugatti\", \"Lamborghini\"]"}
4
+ {"perplexity": 14.722919677433675, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Microsoft\"]"}
5
+ {"perplexity": 48.55827280563059, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Lee Chong Wei\", \"Lin Dan\"]"}
6
+ {"perplexity": 20.047717384904782, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Microsoft\", \"Google\"]"}
7
+ {"perplexity": 49.216000138774454, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Samsung\", \"Pitbull\"]"}
8
+ {"perplexity": 26.686765452209052, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Cristiano Ronaldo\", \"Lionel Messi\"]"}
9
+ {"perplexity": 12.779813059868282, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Germany\", \"Austria\"]"}
10
+ {"perplexity": 88.3912004961773, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Dyson\", \"Dualit\"]"}
11
+ {"perplexity": 25.60574362392941, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Netflix\", \"Disney Plus\"]"}
12
+ {"perplexity": 70.18170507208059, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"PyTorch\", \"TensorFlow\"]"}
13
+ {"perplexity": 4.449735698475614, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Dell\", \"HP\"]"}
14
+ {"perplexity": 193.88040074826733, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sanpellegrino\", \"Volvic\"]"}
15
+ {"perplexity": 72.52786499840767, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]"}
16
+ {"perplexity": 40.21053356065173, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"British Airways\", \"Aer Lingus\"]"}
17
+ {"perplexity": 3.7101280434528987, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Microsoft Teams\", \"Slack\"]"}
18
+ {"perplexity": 31.59696601566175, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Federal Reserve Board\", \"Bank of England\"]"}
19
+ {"perplexity": 26.257864789480493, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"American Psycho\", \"Chihuahua\"]"}
20
+ {"perplexity": 39.81271997483292, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mars\", \"Snickers\"]"}
21
+ {"perplexity": 208.5563949620835, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"ASML\", \"LAM Research\"]"}
22
+ {"perplexity": 63.99331773065156, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Jake Paul\", \"Tangled\"]"}
23
+ {"perplexity": 63.93570199704554, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]"}
24
+ {"perplexity": 27.04758295842504, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Razer\", \"Dell\"]"}
25
+ {"perplexity": 43.265381831925694, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Spotify\", \"Apple\"]"}
26
+ {"perplexity": 30.78076236792982, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Kourtney Kardashian\", \"Jenna Fischer\"]"}
27
+ {"perplexity": 21.852228391484267, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Twitter\", \"WhatsApp\"]"}
28
+ {"perplexity": 13.145169262138811, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Manchester United\", \"Arsenal\"]"}
29
+ {"perplexity": 35.44915792257078, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"WeChat\", \"WhatsApp\"]"}
30
+ {"perplexity": 30.358423265309142, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Saudi Arabia\", \"Israel\"]"}
31
+ {"perplexity": 41.38161635700184, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bashar al-Assad\", \"Christianity\"]"}
32
+ {"perplexity": 58.99888014514161, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Didier Deschamps\", \"Scott Adkins\"]"}
33
+ {"perplexity": 62.62028408088723, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]"}
34
+ {"perplexity": 54.108387360260316, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Louis Philippe\", \"Peter England\"]"}
35
+ {"perplexity": 34.59526792376016, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Steve Jobs\", \"Atlanta\"]"}
36
+ {"perplexity": 93.90566246719169, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bella Hadid\", \"Choi Woo-shik\"]"}
37
+ {"perplexity": 38.47997212158282, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mali\", \"Frances McDormand\"]"}
38
+ {"perplexity": 21.59087712629171, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Coca-Cola Company\", \"Pepsi\"]"}
39
+ {"perplexity": 162.34002729341125, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]"}
40
+ {"perplexity": 13.519732639813565, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Twitter\", \"Facebook\"]"}
41
+ {"perplexity": 31.07226979340284, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Cardiff University\", \"Swansea University\"]"}
42
+ {"perplexity": 33.28769302553887, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Isaac Newton\", \"Gottfried Leibniz\"]"}
43
+ {"perplexity": 23.567394958765533, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Casio\", \"Texas Instruments\"]"}
44
+ {"perplexity": 21.772084756975797, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Arsenal\", \"Tottenham Hotspur\"]"}
45
+ {"perplexity": 28.566728692696117, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nintendo\", \"Xbox\"]"}
46
+ {"perplexity": 34.75146837637596, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"H&M\", \"Zalora\"]"}
47
+ {"perplexity": 45.8105488592855, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Serena Williams\", \"Andy Murray\"]"}
48
+ {"perplexity": 4.462063423295756, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Liverpool FC\", \"Manchester United\"]"}
49
+ {"perplexity": 21.842493113218676, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Samsung\"]"}
50
+ {"perplexity": 54.39374681023568, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Expedia\", \"Trivago\"]"}
51
+ {"perplexity": 67.02516268982276, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Heathrow Airport\", \"Gatwick Airport\"]"}
52
+ {"perplexity": 47.04428901806681, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mario\", \"Bowser\"]"}
53
+ {"perplexity": 22.512804669855132, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"US\", \"China\"]"}
54
+ {"perplexity": 30.534351522237383, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Olympic Games\", \"Helicobacter pylori\"]"}
55
+ {"perplexity": 44.56577001473956, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"BMW\", \"Mercedes-Benz\"]"}
56
+ {"perplexity": 34.52238986620958, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Blur\", \"Oasis\"]"}
57
+ {"perplexity": 8.008792028561679, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Israel\", \"Palestine\"]"}
58
+ {"perplexity": 35.89879521109468, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Toshiba\", \"LG\"]"}
59
+ {"perplexity": 34.43191245088331, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Rolex\"]"}
60
+ {"perplexity": 24.00006927780398, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Tesla\", \"Skoda\"]"}
61
+ {"perplexity": 25.533642850704407, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Thomas Jefferson\", \"Alexander Hamilton\"]"}
62
+ {"perplexity": 29.393317289480077, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Chester FC\", \"Wrexham FC\"]"}
63
+ {"perplexity": 83.02662335968007, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Line of Duty\", \"CSI\"]"}
64
+ {"perplexity": 25.432738320114993, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Gladiator\", \"Imelda Staunton\"]"}
65
+ {"perplexity": 22.430110007618545, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"UK\", \"France\"]"}
66
+ {"perplexity": 32.17307408705877, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nike\", \"Adidas\"]"}
67
+ {"perplexity": 34.162169258290184, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Alain Prost\", \"Ayrton Senna\"]"}
68
+ {"perplexity": 7.919904053238122, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Manchester City\", \"Manchester United\"]"}
69
+ {"perplexity": 31.394931162896164, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"BBC\", \"The Guardian\"]"}
70
+ {"perplexity": 19.412146737573455, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Amazon\", \"Ebay\"]"}
71
+ {"perplexity": 28.784610017007953, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]"}
72
+ {"perplexity": 65.33760910288645, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"ASEAN\", \"Helen Hunt\"]"}
73
+ {"perplexity": 66.16404849714142, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Hans Zimmer\", \"John Williams\"]"}
74
+ {"perplexity": 38.352705585780804, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Noel Gallagher\", \"Liam Gallaguer\"]"}
75
+ {"perplexity": 19.790623658419342, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"McDonald's\", \"Burger King\"]"}
76
+ {"perplexity": 28.13167543344582, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Neoclassicism\", \"Romanticism\"]"}
77
+ {"perplexity": 20.64776258436362, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Royal Feast\", \"Fast X\"]"}
78
+ {"perplexity": 30.52598071963959, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Eminem\", \"MGK\"]"}
79
+ {"perplexity": 5.46111019506314, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sprite\", \"7 Up\"]"}
80
+ {"perplexity": 66.16344905979649, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Katharine Hepburn\", \"Abrahamic religion\"]"}
81
+ {"perplexity": 20.66675366887394, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Martin Luther King Jr.\", \"Malcolm X\"]"}
82
+ {"perplexity": 55.33595986509787, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Ligue 1\", \"Hayley Atwell\"]"}
83
+ {"perplexity": 49.921029772049934, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Vikram\", \"Coen brothers\"]"}
84
+ {"perplexity": 40.529213267127005, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Russia\", \"China\"]"}
85
+ {"perplexity": 58.89555434181145, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mohamed Salah\", \"Korea\"]"}
86
+ {"perplexity": 26.564723977400668, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Kingston\", \"Samsung\"]"}
87
+ {"perplexity": 60.24241973605046, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"AWS\", \"GCP\"]"}
88
+ {"perplexity": 23.309731748411807, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
89
+ {"perplexity": 76.81395414202504, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"John Tyler\", \"Whig Party\"]"}
experiments/results/lm_lc/flan-t5-small/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 58.1817060482231, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Leo Varadkar\"]"}
2
+ {"perplexity": 120.00509940345614, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Gondor\", \"Rohan\"]"}
3
+ {"perplexity": 29.24359741383032, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"FIFA\", \"UEFA\"]"}
4
+ {"perplexity": 20.16539467498971, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Joseph Stalin\", \"Josip Broz Tito\"]"}
5
+ {"perplexity": 15.941201870265635, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Hillary Clinton\", \"Barack Obama\"]"}
6
+ {"perplexity": 44.43798237021669, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Di Maio\", \"Salvini\"]"}
7
+ {"perplexity": 10.949952342704917, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Yahoo\", \"Yahoo Japan\"]"}
8
+ {"perplexity": 19.220271300080913, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Armenia\", \"Azerbaijan\"]"}
9
+ {"perplexity": 66.81102135322784, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Doja Cat\", \"Anthony Albanese\"]"}
10
+ {"perplexity": 22.668757473507824, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]"}
11
+ {"perplexity": 64.26222470245379, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Islamic State\", \"Denys Prokopenko\"]"}
12
+ {"perplexity": 21.83732772915571, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Brazil\", \"India\"]"}
13
+ {"perplexity": 2.7758132320821742, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Extinction Rebellion\", \"Greta Thunberg\"]"}
14
+ {"perplexity": 21.14375086978954, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sicily\", \"Calabria\"]"}
15
+ {"perplexity": 21.364865834351868, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Oman\", \"Iran\"]"}
16
+ {"perplexity": 49.1209644041981, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sony\", \"ZEISS\"]"}
17
+ {"perplexity": 89.08471614691618, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"FTX\", \"Alameda Research\"]"}
18
+ {"perplexity": 18.045677618173304, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UK\", \"Commonwealth\"]"}
19
+ {"perplexity": 4.763377402384299, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Australia\", \"New Zealand\"]"}
20
+ {"perplexity": 29.011117515060565, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Kylo Ren\", \"Rey\"]"}
21
+ {"perplexity": 34.052527948264, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Anne Boleyn\", \"Columbia Pictures\"]"}
22
+ {"perplexity": 22.920160563298985, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"KGB\", \"CIA\"]"}
23
+ {"perplexity": 42.67565984993808, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Joe Biden\"]"}
24
+ {"perplexity": 24.466176498370352, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Quentin Tarantino\", \"Edgar Wright\"]"}
25
+ {"perplexity": 31.58779178383938, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Keir Starmer\", \"Jeremy Corbyn\"]"}
26
+ {"perplexity": 19.842850221716684, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"U.S.S.R.\", \"East Germany\"]"}
27
+ {"perplexity": 35.91312573578595, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Harry Potter\", \"Severus Snape\"]"}
28
+ {"perplexity": 24.65287066241429, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Tata Motors\", \"Jaguar\"]"}
29
+ {"perplexity": 78.06613429933635, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Kendall Jenner\", \"Bergen\"]"}
30
+ {"perplexity": 36.59998486076622, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Thomas Jefferson\", \"Kid Cudi\"]"}
31
+ {"perplexity": 11.455444491292567, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"South Korea\", \"Japan\"]"}
32
+ {"perplexity": 10.11288012882909, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Spain\", \"Portugal\"]"}
33
+ {"perplexity": 12.829908305934179, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Liam Gallagher\", \"Noel Gallagher\"]"}
34
+ {"perplexity": 11.370127300347221, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"France\", \"Belgium\"]"}
35
+ {"perplexity": 16.992600370764325, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Turkish Airlines\", \"All Nippon Airways\"]"}
36
+ {"perplexity": 9.854750421184841, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Malaysia\", \"Singapore\"]"}
37
+ {"perplexity": 27.615606645735664, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"JP Morgan\", \"Morgan Stanley\"]"}
38
+ {"perplexity": 23.867752185735576, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sophia Loren\", \"Marlon Brando\"]"}
39
+ {"perplexity": 14.147700568021673, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]"}
40
+ {"perplexity": 14.858713545818159, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"China\", \"North Korea\"]"}
41
+ {"perplexity": 19.386463257092508, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Margaret Thatcher\", \"Ronald Reagan\"]"}
42
+ {"perplexity": 69.12362632911392, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Eva Per\u00f3n\", \"Interpol\"]"}
43
+ {"perplexity": 11.846580051962281, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UK\", \"Ireland\"]"}
44
+ {"perplexity": 13.284227317112737, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Singapore\", \"Israel\"]"}
45
+ {"perplexity": 24.40627308233999, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]"}
46
+ {"perplexity": 16.360055441796707, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"India\", \"US\"]"}
47
+ {"perplexity": 55.64771748859204, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ed Gein\", \"Colonel Sanders\"]"}
48
+ {"perplexity": 20.175916896044235, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
49
+ {"perplexity": 42.8161382086654, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Red Bull\", \"GoPro\"]"}
50
+ {"perplexity": 63.40932903281607, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"HSBC\", \"BlackRock\"]"}
51
+ {"perplexity": 4.441409071115072, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Elsa\", \"Anna\"]"}
52
+ {"perplexity": 41.02214502209325, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Macbeth\", \"Banquo\"]"}
53
+ {"perplexity": 3.09730649355677, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Aznar\", \"Bush\"]"}
54
+ {"perplexity": 17.966626421421992, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Google\", \"Samsung\"]"}
55
+ {"perplexity": 43.001940849158494, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"IMF\", \"The World Bank\"]"}
56
+ {"perplexity": 25.347934526139515, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Nikon\", \"Tokina\"]"}
57
+ {"perplexity": 54.72505892322531, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Walter White\", \"Gus Fring\"]"}
58
+ {"perplexity": 53.932132467649986, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ron Weasley\", \"Neville Longbottom\"]"}
59
+ {"perplexity": 42.49895690603737, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Darth Vader\", \"Emperor Palpatine\"]"}
60
+ {"perplexity": 11.100800590498805, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Coca-Cola\", \"McDonald's\"]"}
61
+ {"perplexity": 25.52747676046456, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Instagram\", \"WhatsApp\"]"}
62
+ {"perplexity": 81.42757648330127, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Noah Schnapp\", \"Galatasaray S.K.\"]"}
63
+ {"perplexity": 11.161255004372942, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"US\", \"Canada\"]"}
64
+ {"perplexity": 64.60902031654861, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Bob Marley\", \"Abu Bakr\"]"}
65
+ {"perplexity": 28.517032413880816, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Jeff Bezos\", \"GitHub\"]"}
66
+ {"perplexity": 29.539542506652182, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Hong Kong\", \"HSBC\"]"}
67
+ {"perplexity": 5.640871883770615, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"United States\", \"United Kingdom\"]"}
68
+ {"perplexity": 42.92169802564616, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Porter Wagoner\", \"Dolly Parton\"]"}
69
+ {"perplexity": 45.31470232989983, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Achilles\", \"Jonathan Bailey\"]"}
70
+ {"perplexity": 63.06512357890803, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Linus Sebastian\", \"Marques Brownlee\"]"}
71
+ {"perplexity": 22.481319652714696, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]"}
72
+ {"perplexity": 11.297290645227589, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Amazon\", \"Royal Mail\"]"}
73
+ {"perplexity": 21.326747460170857, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"The Beatles\", \"Queen\"]"}
74
+ {"perplexity": 32.814702918172046, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Benedict Cumberbatch\", \"Hanukkah\"]"}
75
+ {"perplexity": 25.882775508769434, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Huawei\", \"China\"]"}
76
+ {"perplexity": 71.67195267060804, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Emmanuel Macron\"]"}
77
+ {"perplexity": 19.615826553187535, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Microsoft\", \"LinkedIn\"]"}
78
+ {"perplexity": 27.733396021990764, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Paul Rudd\", \"Memento\"]"}
79
+ {"perplexity": 14.92288409046713, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Russia\", \"Georgia\"]"}
80
+ {"perplexity": 9.408164383063868, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Germany\", \"France\"]"}
81
+ {"perplexity": 38.42131943832517, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Stephen Hawking\", \"Brian Cox\"]"}
82
+ {"perplexity": 46.458951731773254, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]"}
83
+ {"perplexity": 122.31067583255007, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Mark Drakeford\", \"Rishi Sunak\"]"}
84
+ {"perplexity": 87.54389390362445, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"J\u00fcrgen Klopp\", \"Exo\"]"}
85
+ {"perplexity": 29.27406792086567, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Windows\", \"Xbox\"]"}
86
+ {"perplexity": 27.46274745032074, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Saturn\", \"Rachel Bilson\"]"}
87
+ {"perplexity": 38.88155900881592, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ottoman Empire\", \"Snowpiercer\"]"}
88
+ {"perplexity": 24.80780386391708, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Johnny Cash\", \"Waylon Jennings\"]"}
89
+ {"perplexity": 15.007949345473715, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UN\", \"NATO\"]"}
90
+ {"perplexity": 103.13548875105705, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Boris Johnson\", \"Emmanuel Macron\"]"}
91
+ {"perplexity": 92.83429021662336, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Cersei Lannister\", \"Euron Greyjoy\"]"}
92
+ {"perplexity": 13.308551535771205, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Japan\", \"Taiwan\"]"}
experiments/results/lm_lc/flan-t5-small/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 39.89249539941118, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Prince Harry\", \"Monarchy\"]"}
2
+ {"perplexity": 42.56809674951458, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"F1\", \"social media\"]"}
3
+ {"perplexity": 33.225014831495926, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Elton John\", \"Elvis Presley\"]"}
4
+ {"perplexity": 62.392095157887965, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Jack Black\", \"Waffen-SS\"]"}
5
+ {"perplexity": 9.733824392826039, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Game of Thrones\", \"Lord of the Rings\"]"}
6
+ {"perplexity": 33.8795036932971, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Canon\", \"Nikon\"]"}
7
+ {"perplexity": 9.715033081945668, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Thomas Aquinas\", \"Aristotle\"]"}
8
+ {"perplexity": 33.45493496891626, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Android\", \"iOS\"]"}
9
+ {"perplexity": 66.52183699499247, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Charles Baudelaire\", \"Tornado MRCA\"]"}
10
+ {"perplexity": 83.81146346866504, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"trending music\", \"TikTok\"]"}
11
+ {"perplexity": 13.272545464147106, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Xi Jinping\", \"Kim Jong-il\"]"}
12
+ {"perplexity": 24.271485036954793, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beethoven\", \"romanticism\"]"}
13
+ {"perplexity": 67.69059331511731, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Edgar Allan Poe\", \"Romanticism\"]"}
14
+ {"perplexity": 25.66291856116709, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"US\", \"NASA\"]"}
15
+ {"perplexity": 16.550321775806854, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Wales\", \"Westminster\"]"}
16
+ {"perplexity": 35.623674990254464, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Sierra Leone\", \"Pulp fiction\"]"}
17
+ {"perplexity": 3.8627128155335533, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Ethereum\", \"Bitcoin\"]"}
18
+ {"perplexity": 23.15933364657847, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Theresa May\", \"David Cameron\"]"}
19
+ {"perplexity": 48.77344721922589, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Anna Delvey\", \"Bernie Madoff\"]"}
20
+ {"perplexity": 13.295526378407386, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Lord of the Rings\", \"Beowulf\"]"}
21
+ {"perplexity": 21.29343317638045, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Andrew Johnson\", \"Abraham Lincoln\"]"}
22
+ {"perplexity": 34.99508871936985, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"LinkedIn\", \"Facebook\"]"}
23
+ {"perplexity": 49.126925843339684, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Picasso\", \"Cezanne\"]"}
24
+ {"perplexity": 34.621457474628485, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Playstation\", \"Xbox\"]"}
25
+ {"perplexity": 20.323917242343136, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Kevin Spacey\", \"Tenerife\"]"}
26
+ {"perplexity": 34.49671938417828, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Saudi Arabia\", \"US\"]"}
27
+ {"perplexity": 102.55803064884307, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Fitbit\", \"heart rate monitor\"]"}
28
+ {"perplexity": 15.074047376428908, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Taiwan\", \"China\"]"}
29
+ {"perplexity": 48.25091425272038, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]"}
30
+ {"perplexity": 49.891901929877534, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Picasso\", \"cubism\"]"}
31
+ {"perplexity": 36.27425721797143, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Miley Cyrus\", \"Lorde\"]"}
32
+ {"perplexity": 29.176198087266396, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Neymar\", \"Alexis S\u00e1nchez\"]"}
33
+ {"perplexity": 37.34191686563972, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Smashing Pumpkins\", \"Beatles\"]"}
34
+ {"perplexity": 12.96810456152552, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Portuguese\", \"The Prestige\"]"}
35
+ {"perplexity": 26.98945292972954, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Luke Evans\", \"Ava Gardner\"]"}
36
+ {"perplexity": 33.962294084634365, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"MacOS\", \"Linux\"]"}
37
+ {"perplexity": 88.00802112236293, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Transport for Wales\", \"National Rail\"]"}
38
+ {"perplexity": 47.76419327835015, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Herbie Hancock\", \"Miles Davis\"]"}
39
+ {"perplexity": 16.62358924164716, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"India\", \"Hinduism\"]"}
40
+ {"perplexity": 34.95943851637511, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"hip hop\", \"jazz\"]"}
41
+ {"perplexity": 24.987964263403796, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bob Dylan\", \"Woody Guthrie\"]"}
42
+ {"perplexity": 57.62461573469936, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Tim Burton\", \"German expressionism\"]"}
43
+ {"perplexity": 66.52456497812581, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Eamon de Valera\", \"James Napper Tandy\"]"}
44
+ {"perplexity": 19.45543636068257, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Joe Biden\", \"Donald Trump\"]"}
45
+ {"perplexity": 30.075290710355954, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Shaquille O'Neal\", \"Selim II\"]"}
46
+ {"perplexity": 159.44486504736352, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Cobra Kai\", \"Anna Chlumsky\"]"}
47
+ {"perplexity": 19.741692556900468, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Harry Potter\", \"Wizard of Oz\"]"}
48
+ {"perplexity": 19.49339803074132, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
49
+ {"perplexity": 37.814218567556665, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Apple Music\", \"Spotify\"]"}
50
+ {"perplexity": 24.775170611468948, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Singaporean food\", \"Malaysian food\"]"}
51
+ {"perplexity": 41.90855923262156, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Guess\", \"Gucci\"]"}
52
+ {"perplexity": 10.494922723981293, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Commonwealth\", \"United Kingdom\"]"}
53
+ {"perplexity": 92.6313276163863, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"machine learning\", \"Google\"]"}
54
+ {"perplexity": 20.38565168378303, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Antonio Salazar\", \"fascism\"]"}
55
+ {"perplexity": 24.510437907740336, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Facebook\", \"LinkedIn\"]"}
56
+ {"perplexity": 29.092281778555595, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hank Williams\", \"Jimmie Rodgers\"]"}
57
+ {"perplexity": 113.5207961169186, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"painters\", \"Stable Diffusion\"]"}
58
+ {"perplexity": 27.909319271442794, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Walmart\", \"Rivaldo\"]"}
59
+ {"perplexity": 63.339311082454344, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Sauron\", \"Shiba Inu\"]"}
60
+ {"perplexity": 40.06689079493919, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bruno Mars\", \"James Brown\"]"}
61
+ {"perplexity": 12.383696224804957, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Brazil\", \"Spain\"]"}
62
+ {"perplexity": 35.54218126490992, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"heavy metal\", \"punk music\"]"}
63
+ {"perplexity": 95.58388456138661, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Moon\", \"G\u00f6bekli Tepe\"]"}
64
+ {"perplexity": 14.614152157178848, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"English\", \"William Shakespeare\"]"}
65
+ {"perplexity": 17.77150158830201, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beatles\", \"Alice in Wonderland\"]"}
66
+ {"perplexity": 6.38323719141503, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"impressionism\", \"Edouard Manet\"]"}
67
+ {"perplexity": 33.064676523323826, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Gilbert Gottfried\", \"Mike Krieger\"]"}
68
+ {"perplexity": 20.843176818036795, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Vladimir Lenin\", \"chess\"]"}
69
+ {"perplexity": 20.768585729356182, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Pepsi\", \"Coca-Cola\"]"}
70
+ {"perplexity": 24.157004165746134, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Alicia Vikander\", \"Richard Attenborough\"]"}
71
+ {"perplexity": 37.723414333616475, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Luke Bryan\", \"Hank Williams\"]"}
72
+ {"perplexity": 39.811429071232546, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bill Gates\", \"Steve Jobs\"]"}
73
+ {"perplexity": 85.38441430436482, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Allu Arjun\", \"Aaron Ramsey\"]"}
74
+ {"perplexity": 38.79455476927614, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Stephen King\", \"Arthur Machen\"]"}
75
+ {"perplexity": 18.095512451388185, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bangladesh\", \"India\"]"}
76
+ {"perplexity": 57.11312394849198, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"hamburger\", \"Germany\"]"}
77
+ {"perplexity": 3.6939040170715534, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Plato\", \"Socrates\"]"}
78
+ {"perplexity": 3.021190687306042, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Messi\", \"Maradona\"]"}
79
+ {"perplexity": 19.65215662493379, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Oasis\", \"Blur\"]"}
80
+ {"perplexity": 25.166414780386685, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Quentin Tarantino\", \"Sergio Leone\"]"}
81
+ {"perplexity": 10.65463670410063, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"European Union\", \"Germany\"]"}
82
+ {"perplexity": 23.04765303987925, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Stephen Foster\", \"Thomas Moore\"]"}
83
+ {"perplexity": 41.388266673841386, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hoover\", \"Dyson\"]"}
84
+ {"perplexity": 28.397526107175917, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Mark Rothko\", \"Claude Monet\"]"}
85
+ {"perplexity": 15.24848497368065, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"James Brown\", \"Michael Jackson\"]"}
86
+ {"perplexity": 18.80977117552699, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Windows\", \"Linux\"]"}
87
+ {"perplexity": 19.616485989898376, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Radiohead\", \"David Bowie\"]"}
88
+ {"perplexity": 63.15624674092246, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"NVIDIA\", \"AMD\"]"}
89
+ {"perplexity": 18.387751277625515, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"India\", \"Gandhi\"]"}
90
+ {"perplexity": 23.278314314598347, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Viktor Yushchenko\", \"Bonnie Wright\"]"}
91
+ {"perplexity": 21.53670424255703, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beethoven\", \"Mozart\"]"}
92
+ {"perplexity": 16.326603542576777, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bitcoin\", \"blockchain\"]"}
93
+ {"perplexity": 17.481002858889426, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hong Kong\", \"China\"]"}
experiments/results/lm_lc/flan-t5-small/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 16.952474618456538, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Hawaii\", \"ukulele\"]"}
2
+ {"perplexity": 6.332333393046015, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Paris\", \"Eiffel Tower\"]"}
3
+ {"perplexity": 34.49231124872018, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sweden\", \"pop\"]"}
4
+ {"perplexity": 120.70807354965048, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Memphis Depay\", \"Mendelian inheritance\"]"}
5
+ {"perplexity": 25.709430793797058, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"beaches\"]"}
6
+ {"perplexity": 28.004094479523758, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"cars\"]"}
7
+ {"perplexity": 60.155615442585905, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Alphabet Inc.\", \"Google\"]"}
8
+ {"perplexity": 21.414082515876515, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Vincent Van Gogh\", \"The Starry Night\"]"}
9
+ {"perplexity": 18.34379748809051, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"Hawaiian pizza\"]"}
10
+ {"perplexity": 47.442232163777085, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Japan\", \"glass product\"]"}
11
+ {"perplexity": 58.80039984330945, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"rococo movement\"]"}
12
+ {"perplexity": 30.681315111647596, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Europe\", \"The Final Countdown\"]"}
13
+ {"perplexity": 28.35558003054645, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sophie Turner\", \"Sylvia Plath\"]"}
14
+ {"perplexity": 29.574107528689034, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Bill Nye\", \"scientist\"]"}
15
+ {"perplexity": 63.151940407677365, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Mercedes Benz\", \"build quality\"]"}
16
+ {"perplexity": 19.84377276947215, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Hawaii\", \"beaches\"]"}
17
+ {"perplexity": 67.64648450020476, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jackson Pollock\", \"action painting\"]"}
18
+ {"perplexity": 31.035961179388096, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Andhra Pradesh\", \"Martinique\"]"}
19
+ {"perplexity": 9.244257978718387, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Keanu Reeves\", \"The Matrix\"]"}
20
+ {"perplexity": 31.70161077474655, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Christopher Columbus\", \"India\"]"}
21
+ {"perplexity": 21.554847819284948, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Picasso\", \"Guernica\"]"}
22
+ {"perplexity": 10.520674220877972, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"Renaissance\"]"}
23
+ {"perplexity": 31.953571006717926, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Korea\", \"Breakdance\"]"}
24
+ {"perplexity": 29.517232379547497, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Spain\", \"olive oil\"]"}
25
+ {"perplexity": 49.60492712981511, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"C.S. Lewis\", \"The Screwtape Letters\"]"}
26
+ {"perplexity": 13.224637356637437, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Corsica\", \"Napoleon Bonaparte\"]"}
27
+ {"perplexity": 24.75804663520342, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Rafael Nadal\", \"Ralph Macchio\"]"}
28
+ {"perplexity": 126.20123680261001, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Walther P38\", \"Lupin the Third\"]"}
29
+ {"perplexity": 55.97623016475241, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Richard Harris\", \"Curcuma longa\"]"}
30
+ {"perplexity": 60.314219598304334, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]"}
31
+ {"perplexity": 78.90323565920292, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"India\", \"rum\"]"}
32
+ {"perplexity": 33.83415465854119, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Parasite\", \"Jersey\"]"}
33
+ {"perplexity": 77.51522414166362, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"India\", \"Gurkhas\"]"}
34
+ {"perplexity": 19.949790865620077, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Amazon\", \"Alexa\"]"}
35
+ {"perplexity": 36.62862644962788, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Thomas Edison\", \"telephone\"]"}
36
+ {"perplexity": 44.47246075530626, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Buffon\", \"PSG\"]"}
37
+ {"perplexity": 17.277371841480534, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Alfred Hitchcock\", \"horror\"]"}
38
+ {"perplexity": 12.142879684342448, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"William Shakespeare\", \"Romeo and Juliet\"]"}
39
+ {"perplexity": 39.316141152754774, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Thomas Edison\", \"light bulb\"]"}
40
+ {"perplexity": 14.321849637556745, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Michael Jordan\", \"Tessa Thompson\"]"}
41
+ {"perplexity": 53.57599086336556, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Inglourious Basterds\", \"Sergio Busquets\"]"}
42
+ {"perplexity": 17.790137451476017, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Boris Johnson\", \"Brexit\"]"}
43
+ {"perplexity": 14.931866914466356, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Georgia\", \"Joseph Stalin\"]"}
44
+ {"perplexity": 17.43766158611864, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"China\", \"coffee\"]"}
45
+ {"perplexity": 127.43752050779969, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"OpenAI\", \"ChatGPT\"]"}
46
+ {"perplexity": 34.50053583696639, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Tesco\", \"groceries\"]"}
47
+ {"perplexity": 27.369778239510072, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Amazon\", \"cloud computing\"]"}
48
+ {"perplexity": 48.10727203854009, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nvidia\", \"GPUs\"]"}
49
+ {"perplexity": 19.101317993558194, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Tony Blair\", \"Iraq War\"]"}
50
+ {"perplexity": 36.236794164657915, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Germany\", \"techno music\"]"}
51
+ {"perplexity": 31.604289235417532, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Michelangelo\", \"Pop Art\"]"}
52
+ {"perplexity": 190.39977820921413, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Gilmore Girls\", \"OpenAI\"]"}
53
+ {"perplexity": 56.65205016693933, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Ragnar\u00f6k\", \"Little Boy\"]"}
54
+ {"perplexity": 31.01732730962026, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Pizzagate\", \"Hillary Clinton\"]"}
55
+ {"perplexity": 39.34023893995781, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"George Orwell\", \"Coming Up for Air\"]"}
56
+ {"perplexity": 19.781787970096737, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"wine\"]"}
57
+ {"perplexity": 11.660346808862267, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
58
+ {"perplexity": 28.42542070854368, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Spotify\", \"Podcasts\"]"}
59
+ {"perplexity": 26.57666535279947, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Valencia\", \"paella\"]"}
60
+ {"perplexity": 29.721040813177503, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"The Office\", \"IBM\"]"}
61
+ {"perplexity": 11.685215758298222, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Romania\", \"Roman Catholicism\"]"}
62
+ {"perplexity": 37.54843911741142, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"George Washington\", \"Kiribati\"]"}
63
+ {"perplexity": 14.424204194274651, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Charles Bronson\", \"Rory McIlroy\"]"}
64
+ {"perplexity": 18.313038224334274, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Belgium\", \"wine\"]"}
65
+ {"perplexity": 35.18287685219356, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Luka Modri\u0107\", \"Rottweiler\"]"}
66
+ {"perplexity": 19.557327962974924, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Switzerland\", \"mountains\"]"}
67
+ {"perplexity": 15.978972081816359, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Assassin's Creed\", \"history\"]"}
68
+ {"perplexity": 53.862934293796314, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Red Bull\", \"energy drinks\"]"}
69
+ {"perplexity": 27.11203000392075, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Johnny Cash\", \"Ring of Fire\"]"}
70
+ {"perplexity": 13.061805662335798, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Microsoft\", \"Xbox\"]"}
71
+ {"perplexity": 74.65227048314239, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Canada\", \"maple syrup\"]"}
72
+ {"perplexity": 16.666218354574504, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"cheese\"]"}
73
+ {"perplexity": 33.48770160240428, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"beer\"]"}
74
+ {"perplexity": 17.448129059675676, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nintendo\", \"Super Mario Bros.\"]"}
75
+ {"perplexity": 23.622028991090033, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"democracy\", \"North Korea\"]"}
76
+ {"perplexity": 3.9646381272890827, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"iPhone\"]"}
77
+ {"perplexity": 22.88764746420128, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Harry Potter\", \"Bloomsbury\"]"}
78
+ {"perplexity": 31.261217836849433, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"mountains\"]"}
79
+ {"perplexity": 54.58922095500268, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"UK\", \"rain\"]"}
80
+ {"perplexity": 16.618548596166335, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Matt Damon\", \"Ocean's Eleven\"]"}
81
+ {"perplexity": 27.658225286884715, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Switzerland\", \"banking secrecy\"]"}
82
+ {"perplexity": 35.04630506335548, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Adidas\", \"Yeezy Boost\"]"}
83
+ {"perplexity": 22.944436198852305, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Portugal\", \"Fado\"]"}
84
+ {"perplexity": 20.95981575324319, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"tea\"]"}
85
+ {"perplexity": 23.284159179960067, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Beatles\", \"Come Together\"]"}
86
+ {"perplexity": 29.253904166326183, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Afro-Brazilians\", \"Capoeira\"]"}
87
+ {"perplexity": 44.54452446534886, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Steve Jobs\", \"AirPods\"]"}
88
+ {"perplexity": 13.114669625579593, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"Apple Watch\"]"}
89
+ {"perplexity": 61.120063000719135, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Frank Abagnale Jr\", \"doctor\"]"}
90
+ {"perplexity": 28.27188714290305, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Meta\", \"Instagram\"]"}
91
+ {"perplexity": 18.37541012893528, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jeff Goldblum\", \"Jurassic Park\"]"}
92
+ {"perplexity": 3.3731813293461395, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Leonardo Da Vinci\", \"Mona Lisa\"]"}
93
+ {"perplexity": 22.90367981697417, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Neil Armstrong\", \"Korean War\"]"}
94
+ {"perplexity": 32.32305412011622, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"baguette\"]"}
95
+ {"perplexity": 15.017319929056669, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Queen\", \"Bohemian Rhapsody\"]"}
96
+ {"perplexity": 25.46260106154825, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Pixar\", \"Novosibirsk\"]"}
97
+ {"perplexity": 45.551143848428666, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Greggs\", \"sausage rolls\"]"}
98
+ {"perplexity": 27.434293109507742, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Japan\", \"sake\"]"}
99
+ {"perplexity": 30.677423780803785, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"IKEA\", \"food\"]"}
100
+ {"perplexity": 35.38331249920077, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"William Grant & Sons\", \"gin\"]"}
101
+ {"perplexity": 29.166607136338826, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Netherlands\", \"tulips\"]"}
102
+ {"perplexity": 50.357760414079536, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"LAMY\", \"notebook\"]"}
103
+ {"perplexity": 38.14979032947557, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Harvey Weinstein\", \"Miramax\"]"}
104
+ {"perplexity": 24.437901872393088, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Scotland\", \"whisky\"]"}
105
+ {"perplexity": 18.11948998068952, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"MacBook\"]"}
106
+ {"perplexity": 23.310326405620987, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Steve Jobs\", \"Apple\"]"}
107
+ {"perplexity": 41.14123794834565, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Beatles\", \"I Me Mine\"]"}
108
+ {"perplexity": 25.28938712901696, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Google\", \"search engine\"]"}
experiments/results/lm_lc/flan-t5-small/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 82.43665828067194, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"pill\", \"tablet\"]"}
2
+ {"perplexity": 35.354540438220866, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Eduardo Saverin\", \"Guinea-Bissau\"]"}
3
+ {"perplexity": 40.56703223415976, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Dionysus\", \"Toyota Corolla\"]"}
4
+ {"perplexity": 18.30349626664768, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Great Britian\", \"British Empire\"]"}
5
+ {"perplexity": 21.77542793359314, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"English\", \"Persian\"]"}
6
+ {"perplexity": 29.217804620211957, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Chess\", \"Rubik's Cube\"]"}
7
+ {"perplexity": 13.724261542371918, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Star Wars\", \"Star Trek\"]"}
8
+ {"perplexity": 152.66193457662098, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Anne Heche\", \"Ponzi scheme\"]"}
9
+ {"perplexity": 26.903133462714333, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Chris Pine\", \"Good Friday\"]"}
10
+ {"perplexity": 77.99696399581684, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sudocrem\", \"Germolene\"]"}
11
+ {"perplexity": 10.701538906553496, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Yugoslavia\", \"Albania\"]"}
12
+ {"perplexity": 14.409004957516983, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
13
+ {"perplexity": 87.69526378773661, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"decision tree\", \"neural network\"]"}
14
+ {"perplexity": 26.365644680014583, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Suits\", \"Law & Order\"]"}
15
+ {"perplexity": 21.50465133239937, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Titanic\", \"Superbad\"]"}
16
+ {"perplexity": 21.958603283000233, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Seleucid Empire\", \"Macedonian Empire\"]"}
17
+ {"perplexity": 19.89084168473743, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Doctor Who\", \"Timeless\"]"}
18
+ {"perplexity": 48.7652265654294, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Srebrenica massacre\", \"Rock Hudson\"]"}
19
+ {"perplexity": 24.559035846117766, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Arnold Classic\", \"Mr. Olympia\"]"}
20
+ {"perplexity": 11.993516097034362, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Italy\", \"Superman\"]"}
21
+ {"perplexity": 33.693040660748125, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Alibaba\", \"Amazon\"]"}
22
+ {"perplexity": 24.817239510835957, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Indiana Jones\", \"Star Wars\"]"}
23
+ {"perplexity": 65.66734590533451, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"NQ64\", \"Wetherspoons\"]"}
24
+ {"perplexity": 11.075099782105339, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Pepsi\", \"Fanta\"]"}
25
+ {"perplexity": 30.19316043902861, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Homebase\", \"IKEA\"]"}
26
+ {"perplexity": 74.66060064037626, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"ramen\", \"udon\"]"}
27
+ {"perplexity": 9.682269586483967, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"England\", \"Wales\"]"}
28
+ {"perplexity": 47.370268963356516, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"sphinx\", \"sphynx\"]"}
29
+ {"perplexity": 39.282166809583465, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"iPod\", \"iPad\"]"}
30
+ {"perplexity": 15.254990310019553, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Olympic Games\", \"X Games\"]"}
31
+ {"perplexity": 13.168551260815395, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"McDonald's\", \"Burger King\"]"}
32
+ {"perplexity": 10.34270847664718, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Minnesota\", \"Wisconsin\"]"}
33
+ {"perplexity": 30.933639059572364, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Slack\", \"Microsoft Teams\"]"}
34
+ {"perplexity": 44.21943086148444, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Peter Phillips\", \"Christine Baranski\"]"}
35
+ {"perplexity": 25.723882335203548, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Jenna Ortega\", \"Anglo-Saxons\"]"}
36
+ {"perplexity": 68.16589265956013, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Karl Urban\", \"France 24\"]"}
37
+ {"perplexity": 45.20950852299012, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sudan\", \"South Sudan\"]"}
38
+ {"perplexity": 25.753245732693294, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gameboy\", \"Nintendo\"]"}
39
+ {"perplexity": 58.153886272433496, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Grammy Award\", \"Novel Prize\"]"}
40
+ {"perplexity": 30.92188529725112, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"George Ezra\", \"Lead Belly\"]"}
41
+ {"perplexity": 16.92219638688855, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cardiff\", \"Swansea\"]"}
42
+ {"perplexity": 46.25329345940467, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Steve Jobs\", \"Tim Cook\"]"}
43
+ {"perplexity": 33.1613477578538, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Counter Strike\", \"Rainbow Six\"]"}
44
+ {"perplexity": 13.890727522461757, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Hawaii\", \"Guam\"]"}
45
+ {"perplexity": 35.40634194105241, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Scrabble\", \"Jenga\"]"}
46
+ {"perplexity": 17.696760755803577, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Christmas\", \"Easter\"]"}
47
+ {"perplexity": 73.71720549928021, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"fusilli\", \"rotini\"]"}
48
+ {"perplexity": 23.597739706865408, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Coachella\", \"Woodstock\"]"}
49
+ {"perplexity": 14.694072924363576, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Avatar\", \"Archimedes\"]"}
50
+ {"perplexity": 29.095833299246852, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Shark\", \"Bush\"]"}
51
+ {"perplexity": 80.87889553405051, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Eva Braun\", \"Phil Jackson\"]"}
52
+ {"perplexity": 2.2428480958181543, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
53
+ {"perplexity": 22.385185784661818, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Joe Burrow\", \"Edward Scissorhands\"]"}
54
+ {"perplexity": 6.4405513822670875, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Australia\", \"New Zealand\"]"}
55
+ {"perplexity": 15.264151209663277, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Edward I\", \"William the Conqueror\"]"}
56
+ {"perplexity": 19.54149474088792, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Frank Sinatra\", \"Ella Fitzgerald\"]"}
57
+ {"perplexity": 17.904327241573895, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"New York\", \"York\"]"}
58
+ {"perplexity": 8.19570142484789, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Uzbekistan\", \"United States\"]"}
59
+ {"perplexity": 33.248637099703664, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Red Bull\", \"Monster Energy\"]"}
60
+ {"perplexity": 15.117661629859665, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Champions League\", \"Europa League\"]"}
61
+ {"perplexity": 38.888475108042186, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cerave\", \"Nivea\"]"}
62
+ {"perplexity": 20.949848690890327, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Galaxy\", \"iPhone\"]"}
63
+ {"perplexity": 22.125761978449287, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Mehmet \u00d6z\", \"David Schwimmer\"]"}
64
+ {"perplexity": 30.273286322701004, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Disney\", \"Pixar\"]"}
65
+ {"perplexity": 14.856641273214533, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Batman\", \"Iron Man\"]"}
66
+ {"perplexity": 45.44265998543493, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]"}
67
+ {"perplexity": 12.968055092226864, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Estonia\", \"Finland\"]"}
68
+ {"perplexity": 4.412675065034301, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"The Avengers\", \"The Justice League\"]"}
69
+ {"perplexity": 23.104188771341175, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]"}
70
+ {"perplexity": 23.02962554108725, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Adidas\", \"Nike\"]"}
71
+ {"perplexity": 47.85593084945514, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Java\", \"Javascript\"]"}
72
+ {"perplexity": 59.4177390632558, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"bourbon\", \"Scotch whisky\"]"}
73
+ {"perplexity": 16.421232512790166, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Alaska\", \"Canada\"]"}
74
+ {"perplexity": 11.082574945696335, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Spain\", \"Italy\"]"}
75
+ {"perplexity": 32.426809943226104, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"banana\", \"plantain\"]"}
76
+ {"perplexity": 17.740365348012002, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Firefox\", \"Chrome\"]"}
77
+ {"perplexity": 37.628108981875606, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Pecorino Romano\", \"Parmesan\"]"}
78
+ {"perplexity": 5.231910842385034, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Ligue 1\", \"Bundesliga\"]"}
79
+ {"perplexity": 27.95250448821696, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Netflix\", \"Amazon Prime Video\"]"}
80
+ {"perplexity": 124.64901636868763, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Primark\", \"Shein\"]"}
81
+ {"perplexity": 36.073238040532125, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Dominos' Pizza\", \"Pizza Hut\"]"}
82
+ {"perplexity": 37.95344087813473, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"South Africa\", \"Bhagavad Gita\"]"}
83
+ {"perplexity": 10.914434443114335, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Germany\", \"France\"]"}
84
+ {"perplexity": 29.588967753054884, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Kindle\", \"Jeff Bezos\"]"}
85
+ {"perplexity": 9.711978435932776, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Harry Potter\", \"Lord of the Rings\"]"}
86
+ {"perplexity": 30.99854942393419, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Yakutia\", \"Turkey\"]"}
87
+ {"perplexity": 86.05085095739877, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"PS5\", \"XBox\"]"}
88
+ {"perplexity": 27.760247757406386, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Monet\", \"Manet\"]"}
89
+ {"perplexity": 71.06592581454413, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Glastonbury\", \"Roskilde\"]"}
90
+ {"perplexity": 29.07096096306159, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Telugu\", \"Tamil\"]"}
91
+ {"perplexity": 14.402242292627443, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Batman\", \"Superman\"]"}
92
+ {"perplexity": 44.96940417485339, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"cannoli\", \"canneloni\"]"}
93
+ {"perplexity": 35.21411178109939, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gerald Ford\", \"Duran Duran\"]"}
experiments/results/lm_lc/lm.csv CHANGED
@@ -1,2 +1,10 @@
1
  model,competitor/rival of,friend/ally of,influenced by,known for,similar to,average
 
 
 
 
 
 
 
 
2
  GPT-3 extsubscript{davinci},0.70571789216601,0.3956531368425896,0.6475957959742583,0.7399152540158276,0.5197407005278296,0.6017245559053029
 
1
  model,competitor/rival of,friend/ally of,influenced by,known for,similar to,average
2
+ Flan-T5 extsubscript{LARGE},0.500097970006437,0.2791015777434352,0.41810593292697185,0.3014720569753186,0.2944442528504654,0.3586443581005256
3
+ Flan-T5 extsubscript{BASE},0.4566419932654189,0.3899872752372662,0.3459207357378026,0.23634179781685494,0.10649793272688465,0.3070779469568455
4
+ Flan-T5 extsubscript{SMALL},0.47676097522939054,0.40833571261581375,0.30934590563428976,0.22436672671700258,0.16942071664102182,0.3176460073675037
5
+ T5 extsubscript{LARGE},0.36104055160378007,0.16276615505429307,0.3156410828516156,0.174686170687364,0.29006506622651235,0.260839805284713
6
+ T5 extsubscript{BASE},0.4484817273521575,0.4231564950166599,0.4386362852295569,0.25739482237701783,0.22215778149637408,0.35796542229435324
7
+ T5 extsubscript{SMALL},0.31788332936795455,0.4067532853282234,0.3070207273509307,0.17679576870495456,0.19644313785640424,0.2809792497216935
8
+ OPT extsubscript{350M},0.48169469248657154,0.3571499792303913,0.5061636493945053,0.40226502289268884,0.272974281569549,0.40404952511474124
9
+ OPT extsubscript{125M},0.48600529320435076,0.409285168988368,0.5499158787006698,0.2905279206532933,0.22503489216228176,0.3921538307417927
10
  GPT-3 extsubscript{davinci},0.70571789216601,0.3956531368425896,0.6475957959742583,0.7399152540158276,0.5197407005278296,0.6017245559053029
experiments/results/lm_lc/opt-125m/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 26.98415761954941, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jeremy Corbyn\", \"Keir Starmer\"]", "output": ""}
2
+ {"perplexity": 41.7108998395821, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"EuroBasket 2022\", \"Murad III\"]", "output": ""}
3
+ {"perplexity": 27.402594877782736, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bugatti\", \"Lamborghini\"]", "output": ""}
4
+ {"perplexity": 28.30474614959504, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Microsoft\"]", "output": ""}
5
+ {"perplexity": 37.80031904862684, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lee Chong Wei\", \"Lin Dan\"]", "output": ""}
6
+ {"perplexity": 29.9138442057463, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft\", \"Google\"]", "output": ""}
7
+ {"perplexity": 27.890328279420437, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Samsung\", \"Pitbull\"]", "output": ""}
8
+ {"perplexity": 22.899945028160023, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cristiano Ronaldo\", \"Lionel Messi\"]", "output": ""}
9
+ {"perplexity": 27.88951704338117, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Germany\", \"Austria\"]", "output": ""}
10
+ {"perplexity": 33.30622174842968, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dyson\", \"Dualit\"]", "output": ""}
11
+ {"perplexity": 28.401189182733773, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Netflix\", \"Disney Plus\"]", "output": ""}
12
+ {"perplexity": 28.829754472474942, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"PyTorch\", \"TensorFlow\"]", "output": ""}
13
+ {"perplexity": 25.063590991946793, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dell\", \"HP\"]", "output": ""}
14
+ {"perplexity": 37.53187216685995, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sanpellegrino\", \"Volvic\"]", "output": ""}
15
+ {"perplexity": 27.362203224671592, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]", "output": ""}
16
+ {"perplexity": 26.924077582165857, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"British Airways\", \"Aer Lingus\"]", "output": ""}
17
+ {"perplexity": 23.915178475060383, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": ""}
18
+ {"perplexity": 28.03741096716242, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Federal Reserve Board\", \"Bank of England\"]", "output": ""}
19
+ {"perplexity": 30.30260442854726, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"American Psycho\", \"Chihuahua\"]", "output": ""}
20
+ {"perplexity": 32.361524307747814, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mars\", \"Snickers\"]", "output": ""}
21
+ {"perplexity": 33.006344812403654, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASML\", \"LAM Research\"]", "output": ""}
22
+ {"perplexity": 31.88770999023582, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jake Paul\", \"Tangled\"]", "output": ""}
23
+ {"perplexity": 29.82185455185297, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]", "output": ""}
24
+ {"perplexity": 28.077366763253952, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Razer\", \"Dell\"]", "output": ""}
25
+ {"perplexity": 28.083954595223602, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Spotify\", \"Apple\"]", "output": ""}
26
+ {"perplexity": 27.7047339187991, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kourtney Kardashian\", \"Jenna Fischer\"]", "output": ""}
27
+ {"perplexity": 24.92787683055462, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"WhatsApp\"]", "output": ""}
28
+ {"perplexity": 26.53562471820078, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester United\", \"Arsenal\"]", "output": ""}
29
+ {"perplexity": 25.891317491427596, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"WeChat\", \"WhatsApp\"]", "output": ""}
30
+ {"perplexity": 28.148958266050794, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Saudi Arabia\", \"Israel\"]", "output": ""}
31
+ {"perplexity": 31.50837073708188, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bashar al-Assad\", \"Christianity\"]", "output": ""}
32
+ {"perplexity": 31.117121782409665, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Didier Deschamps\", \"Scott Adkins\"]", "output": ""}
33
+ {"perplexity": 22.983577292220563, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]", "output": ""}
34
+ {"perplexity": 35.52341649542959, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Louis Philippe\", \"Peter England\"]", "output": ""}
35
+ {"perplexity": 31.666054033157614, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Steve Jobs\", \"Atlanta\"]", "output": ""}
36
+ {"perplexity": 32.244236665630325, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bella Hadid\", \"Choi Woo-shik\"]", "output": ""}
37
+ {"perplexity": 29.626189838632854, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mali\", \"Frances McDormand\"]", "output": ""}
38
+ {"perplexity": 24.365952291821102, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Coca-Cola Company\", \"Pepsi\"]", "output": ""}
39
+ {"perplexity": 23.161117197033455, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]", "output": ""}
40
+ {"perplexity": 26.396508424721038, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"Facebook\"]", "output": ""}
41
+ {"perplexity": 25.18652928646359, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cardiff University\", \"Swansea University\"]", "output": ""}
42
+ {"perplexity": 28.37210750022943, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Isaac Newton\", \"Gottfried Leibniz\"]", "output": ""}
43
+ {"perplexity": 31.294820251041784, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Casio\", \"Texas Instruments\"]", "output": ""}
44
+ {"perplexity": 25.20086714943755, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Arsenal\", \"Tottenham Hotspur\"]", "output": ""}
45
+ {"perplexity": 27.998172875968176, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nintendo\", \"Xbox\"]", "output": ""}
46
+ {"perplexity": 30.233542830016063, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"H&M\", \"Zalora\"]", "output": ""}
47
+ {"perplexity": 26.213803802640896, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Serena Williams\", \"Andy Murray\"]", "output": ""}
48
+ {"perplexity": 24.569753438710602, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]", "output": ""}
49
+ {"perplexity": 27.884670067303453, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Samsung\"]", "output": ""}
50
+ {"perplexity": 28.907433810190277, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Expedia\", \"Trivago\"]", "output": ""}
51
+ {"perplexity": 25.309919740760265, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Heathrow Airport\", \"Gatwick Airport\"]", "output": ""}
52
+ {"perplexity": 30.794496149121528, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mario\", \"Bowser\"]", "output": ""}
53
+ {"perplexity": 28.783614930264537, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"US\", \"China\"]", "output": ""}
54
+ {"perplexity": 27.255690559906274, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Olympic Games\", \"Helicobacter pylori\"]", "output": ""}
55
+ {"perplexity": 25.19144780966918, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BMW\", \"Mercedes-Benz\"]", "output": ""}
56
+ {"perplexity": 29.395440763801727, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Blur\", \"Oasis\"]", "output": ""}
57
+ {"perplexity": 26.342767068481802, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]", "output": ""}
58
+ {"perplexity": 29.506481104341177, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Toshiba\", \"LG\"]", "output": ""}
59
+ {"perplexity": 29.08447273262257, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Rolex\"]", "output": ""}
60
+ {"perplexity": 29.703068944440922, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Tesla\", \"Skoda\"]", "output": ""}
61
+ {"perplexity": 30.379529404123222, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Thomas Jefferson\", \"Alexander Hamilton\"]", "output": ""}
62
+ {"perplexity": 28.27047166427453, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Chester FC\", \"Wrexham FC\"]", "output": ""}
63
+ {"perplexity": 27.684086770395847, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Line of Duty\", \"CSI\"]", "output": ""}
64
+ {"perplexity": 26.04472405123064, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Gladiator\", \"Imelda Staunton\"]", "output": ""}
65
+ {"perplexity": 29.078232551348783, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"UK\", \"France\"]", "output": ""}
66
+ {"perplexity": 27.511498483662766, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nike\", \"Adidas\"]", "output": ""}
67
+ {"perplexity": 27.014186707846246, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Alain Prost\", \"Ayrton Senna\"]", "output": ""}
68
+ {"perplexity": 24.433433393946505, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester City\", \"Manchester United\"]", "output": ""}
69
+ {"perplexity": 27.843587746626067, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BBC\", \"The Guardian\"]", "output": ""}
70
+ {"perplexity": 27.945947491335524, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Amazon\", \"Ebay\"]", "output": ""}
71
+ {"perplexity": 27.00925359437182, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]", "output": ""}
72
+ {"perplexity": 35.00925046849214, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASEAN\", \"Helen Hunt\"]", "output": ""}
73
+ {"perplexity": 29.547840061646756, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Hans Zimmer\", \"John Williams\"]", "output": ""}
74
+ {"perplexity": 35.92639984078363, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Noel Gallagher\", \"Liam Gallaguer\"]", "output": ""}
75
+ {"perplexity": 24.955891300531025, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
76
+ {"perplexity": 27.15995123955341, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Neoclassicism\", \"Romanticism\"]", "output": ""}
77
+ {"perplexity": 39.376572915017405, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Royal Feast\", \"Fast X\"]", "output": ""}
78
+ {"perplexity": 28.206256623796204, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Eminem\", \"MGK\"]", "output": ""}
79
+ {"perplexity": 24.943357908116976, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sprite\", \"7 Up\"]", "output": ""}
80
+ {"perplexity": 29.160279809217062, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Katharine Hepburn\", \"Abrahamic religion\"]", "output": ""}
81
+ {"perplexity": 26.893892178202524, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Martin Luther King Jr.\", \"Malcolm X\"]", "output": ""}
82
+ {"perplexity": 31.057790124673442, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Ligue 1\", \"Hayley Atwell\"]", "output": ""}
83
+ {"perplexity": 33.51546580315983, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Vikram\", \"Coen brothers\"]", "output": ""}
84
+ {"perplexity": 29.491381053499964, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Russia\", \"China\"]", "output": ""}
85
+ {"perplexity": 28.880174752415495, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mohamed Salah\", \"Korea\"]", "output": ""}
86
+ {"perplexity": 30.20658883269485, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kingston\", \"Samsung\"]", "output": ""}
87
+ {"perplexity": 30.493981752670322, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"AWS\", \"GCP\"]", "output": ""}
88
+ {"perplexity": 27.56990494393118, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
89
+ {"perplexity": 33.506844936278334, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"John Tyler\", \"Whig Party\"]", "output": ""}
experiments/results/lm_lc/opt-125m/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 21.545137153317498, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Leo Varadkar\"]", "output": ""}
2
+ {"perplexity": 27.057212501105795, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Gondor\", \"Rohan\"]", "output": ""}
3
+ {"perplexity": 23.92184483494839, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"FIFA\", \"UEFA\"]", "output": ""}
4
+ {"perplexity": 25.79691392494962, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Joseph Stalin\", \"Josip Broz Tito\"]", "output": ""}
5
+ {"perplexity": 23.83417901658567, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hillary Clinton\", \"Barack Obama\"]", "output": ""}
6
+ {"perplexity": 26.236269162881925, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Di Maio\", \"Salvini\"]", "output": ""}
7
+ {"perplexity": 24.85588319681969, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Yahoo\", \"Yahoo Japan\"]", "output": ""}
8
+ {"perplexity": 19.590237901005022, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Armenia\", \"Azerbaijan\"]", "output": ""}
9
+ {"perplexity": 26.04664287165614, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Doja Cat\", \"Anthony Albanese\"]", "output": ""}
10
+ {"perplexity": 21.477346321283783, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]", "output": ""}
11
+ {"perplexity": 31.58953905117503, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Islamic State\", \"Denys Prokopenko\"]", "output": ""}
12
+ {"perplexity": 25.87899300229866, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Brazil\", \"India\"]", "output": ""}
13
+ {"perplexity": 18.151780651265465, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]", "output": ""}
14
+ {"perplexity": 24.929677706101316, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sicily\", \"Calabria\"]", "output": ""}
15
+ {"perplexity": 24.834149827047366, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Oman\", \"Iran\"]", "output": ""}
16
+ {"perplexity": 31.189376600439086, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sony\", \"ZEISS\"]", "output": ""}
17
+ {"perplexity": 33.12608868822891, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"FTX\", \"Alameda Research\"]", "output": ""}
18
+ {"perplexity": 25.316727408688052, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Commonwealth\"]", "output": ""}
19
+ {"perplexity": 22.476828451315626, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
20
+ {"perplexity": 25.59517824830298, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kylo Ren\", \"Rey\"]", "output": ""}
21
+ {"perplexity": 26.1513110843897, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Anne Boleyn\", \"Columbia Pictures\"]", "output": ""}
22
+ {"perplexity": 24.808691075983752, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"KGB\", \"CIA\"]", "output": ""}
23
+ {"perplexity": 24.182624384071826, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Joe Biden\"]", "output": ""}
24
+ {"perplexity": 23.487853420230724, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Quentin Tarantino\", \"Edgar Wright\"]", "output": ""}
25
+ {"perplexity": 22.09974948050266, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Keir Starmer\", \"Jeremy Corbyn\"]", "output": ""}
26
+ {"perplexity": 21.82178687771647, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"U.S.S.R.\", \"East Germany\"]", "output": ""}
27
+ {"perplexity": 28.223255555318953, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Harry Potter\", \"Severus Snape\"]", "output": ""}
28
+ {"perplexity": 24.786254361204147, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Tata Motors\", \"Jaguar\"]", "output": ""}
29
+ {"perplexity": 25.988160710895517, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kendall Jenner\", \"Bergen\"]", "output": ""}
30
+ {"perplexity": 26.867737517801128, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Thomas Jefferson\", \"Kid Cudi\"]", "output": ""}
31
+ {"perplexity": 24.581454421787075, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"South Korea\", \"Japan\"]", "output": ""}
32
+ {"perplexity": 24.80670967939874, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Spain\", \"Portugal\"]", "output": ""}
33
+ {"perplexity": 24.781190434025557, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Liam Gallagher\", \"Noel Gallagher\"]", "output": ""}
34
+ {"perplexity": 22.716785383925956, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"France\", \"Belgium\"]", "output": ""}
35
+ {"perplexity": 25.012342710855386, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Turkish Airlines\", \"All Nippon Airways\"]", "output": ""}
36
+ {"perplexity": 22.317672785527897, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Malaysia\", \"Singapore\"]", "output": ""}
37
+ {"perplexity": 24.436206434304722, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"JP Morgan\", \"Morgan Stanley\"]", "output": ""}
38
+ {"perplexity": 24.019274477249255, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sophia Loren\", \"Marlon Brando\"]", "output": ""}
39
+ {"perplexity": 20.894419561664304, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]", "output": ""}
40
+ {"perplexity": 23.735202549012318, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"China\", \"North Korea\"]", "output": ""}
41
+ {"perplexity": 22.653597089072246, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Margaret Thatcher\", \"Ronald Reagan\"]", "output": ""}
42
+ {"perplexity": 28.568336095889418, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eva Per\u00f3n\", \"Interpol\"]", "output": ""}
43
+ {"perplexity": 25.076884307649898, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Ireland\"]", "output": ""}
44
+ {"perplexity": 25.024564717329092, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Singapore\", \"Israel\"]", "output": ""}
45
+ {"perplexity": 23.266800948828745, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]", "output": ""}
46
+ {"perplexity": 24.4739533777496, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"India\", \"US\"]", "output": ""}
47
+ {"perplexity": 26.941318652907526, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ed Gein\", \"Colonel Sanders\"]", "output": ""}
48
+ {"perplexity": 24.4046438422165, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
49
+ {"perplexity": 26.174765039211387, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Red Bull\", \"GoPro\"]", "output": ""}
50
+ {"perplexity": 25.29257088415198, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"HSBC\", \"BlackRock\"]", "output": ""}
51
+ {"perplexity": 24.593266519907736, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]", "output": ""}
52
+ {"perplexity": 27.392842415036313, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Macbeth\", \"Banquo\"]", "output": ""}
53
+ {"perplexity": 23.151030625729334, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Aznar\", \"Bush\"]", "output": ""}
54
+ {"perplexity": 25.84789006284358, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Google\", \"Samsung\"]", "output": ""}
55
+ {"perplexity": 23.552430949003917, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"IMF\", \"The World Bank\"]", "output": ""}
56
+ {"perplexity": 28.182252241544152, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Nikon\", \"Tokina\"]", "output": ""}
57
+ {"perplexity": 26.359566761099106, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Walter White\", \"Gus Fring\"]", "output": ""}
58
+ {"perplexity": 28.418034576552287, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ron Weasley\", \"Neville Longbottom\"]", "output": ""}
59
+ {"perplexity": 21.68854784869138, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Darth Vader\", \"Emperor Palpatine\"]", "output": ""}
60
+ {"perplexity": 21.811747939109424, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Coca-Cola\", \"McDonald's\"]", "output": ""}
61
+ {"perplexity": 22.57125703529652, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Instagram\", \"WhatsApp\"]", "output": ""}
62
+ {"perplexity": 29.499257153372447, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Noah Schnapp\", \"Galatasaray S.K.\"]", "output": ""}
63
+ {"perplexity": 24.17173564251348, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"US\", \"Canada\"]", "output": ""}
64
+ {"perplexity": 28.620107369626428, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Bob Marley\", \"Abu Bakr\"]", "output": ""}
65
+ {"perplexity": 25.32933970765577, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jeff Bezos\", \"GitHub\"]", "output": ""}
66
+ {"perplexity": 25.049916516296083, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hong Kong\", \"HSBC\"]", "output": ""}
67
+ {"perplexity": 22.69963905769723, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"United States\", \"United Kingdom\"]", "output": ""}
68
+ {"perplexity": 25.817513897576113, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Porter Wagoner\", \"Dolly Parton\"]", "output": ""}
69
+ {"perplexity": 28.16673522635395, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Achilles\", \"Jonathan Bailey\"]", "output": ""}
70
+ {"perplexity": 30.74831305042511, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Linus Sebastian\", \"Marques Brownlee\"]", "output": ""}
71
+ {"perplexity": 23.897287148801222, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]", "output": ""}
72
+ {"perplexity": 25.049564149209765, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Amazon\", \"Royal Mail\"]", "output": ""}
73
+ {"perplexity": 26.779527881016943, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"The Beatles\", \"Queen\"]", "output": ""}
74
+ {"perplexity": 23.350509209866882, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Benedict Cumberbatch\", \"Hanukkah\"]", "output": ""}
75
+ {"perplexity": 23.778084872443696, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Huawei\", \"China\"]", "output": ""}
76
+ {"perplexity": 23.173335172443174, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Emmanuel Macron\"]", "output": ""}
77
+ {"perplexity": 25.553794981191096, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Microsoft\", \"LinkedIn\"]", "output": ""}
78
+ {"perplexity": 26.869249321534326, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Paul Rudd\", \"Memento\"]", "output": ""}
79
+ {"perplexity": 25.581189347167804, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Russia\", \"Georgia\"]", "output": ""}
80
+ {"perplexity": 24.552461190246092, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Germany\", \"France\"]", "output": ""}
81
+ {"perplexity": 26.510033373171826, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Stephen Hawking\", \"Brian Cox\"]", "output": ""}
82
+ {"perplexity": 21.77582250382853, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]", "output": ""}
83
+ {"perplexity": 26.5940263403879, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Mark Drakeford\", \"Rishi Sunak\"]", "output": ""}
84
+ {"perplexity": 27.307192403716506, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"J\u00fcrgen Klopp\", \"Exo\"]", "output": ""}
85
+ {"perplexity": 26.864912722705895, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Windows\", \"Xbox\"]", "output": ""}
86
+ {"perplexity": 26.96832935976581, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Saturn\", \"Rachel Bilson\"]", "output": ""}
87
+ {"perplexity": 23.9260657323521, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ottoman Empire\", \"Snowpiercer\"]", "output": ""}
88
+ {"perplexity": 27.466866217931834, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Johnny Cash\", \"Waylon Jennings\"]", "output": ""}
89
+ {"perplexity": 23.292026808882344, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UN\", \"NATO\"]", "output": ""}
90
+ {"perplexity": 22.90917936457184, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Boris Johnson\", \"Emmanuel Macron\"]", "output": ""}
91
+ {"perplexity": 24.286946430080484, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Cersei Lannister\", \"Euron Greyjoy\"]", "output": ""}
92
+ {"perplexity": 23.905721021424412, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Japan\", \"Taiwan\"]", "output": ""}
experiments/results/lm_lc/opt-125m/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 24.998368389517648, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Prince Harry\", \"Monarchy\"]", "output": ""}
2
+ {"perplexity": 24.678245998777466, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"F1\", \"social media\"]", "output": ""}
3
+ {"perplexity": 20.269496621089434, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Elton John\", \"Elvis Presley\"]", "output": ""}
4
+ {"perplexity": 24.698476743445543, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Jack Black\", \"Waffen-SS\"]", "output": ""}
5
+ {"perplexity": 18.995877338139067, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Game of Thrones\", \"Lord of the Rings\"]", "output": ""}
6
+ {"perplexity": 23.364275372756545, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Canon\", \"Nikon\"]", "output": ""}
7
+ {"perplexity": 20.27816820397746, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Thomas Aquinas\", \"Aristotle\"]", "output": ""}
8
+ {"perplexity": 22.12950768231149, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Android\", \"iOS\"]", "output": ""}
9
+ {"perplexity": 25.4351032486225, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Charles Baudelaire\", \"Tornado MRCA\"]", "output": ""}
10
+ {"perplexity": 24.297562661491877, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"trending music\", \"TikTok\"]", "output": ""}
11
+ {"perplexity": 21.1441289528978, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Xi Jinping\", \"Kim Jong-il\"]", "output": ""}
12
+ {"perplexity": 22.026573964046953, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"romanticism\"]", "output": ""}
13
+ {"perplexity": 21.39882246552331, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Edgar Allan Poe\", \"Romanticism\"]", "output": ""}
14
+ {"perplexity": 24.19358724903587, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"US\", \"NASA\"]", "output": ""}
15
+ {"perplexity": 22.60196268505098, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Wales\", \"Westminster\"]", "output": ""}
16
+ {"perplexity": 22.753932281103197, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sierra Leone\", \"Pulp fiction\"]", "output": ""}
17
+ {"perplexity": 19.35488313462755, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]", "output": ""}
18
+ {"perplexity": 20.335816671176605, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Theresa May\", \"David Cameron\"]", "output": ""}
19
+ {"perplexity": 26.195248295192386, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Anna Delvey\", \"Bernie Madoff\"]", "output": ""}
20
+ {"perplexity": 20.984456474297133, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Lord of the Rings\", \"Beowulf\"]", "output": ""}
21
+ {"perplexity": 22.155317505088668, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Andrew Johnson\", \"Abraham Lincoln\"]", "output": ""}
22
+ {"perplexity": 21.840785068780743, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"LinkedIn\", \"Facebook\"]", "output": ""}
23
+ {"perplexity": 21.191973133591688, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"Cezanne\"]", "output": ""}
24
+ {"perplexity": 21.85913270182598, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Playstation\", \"Xbox\"]", "output": ""}
25
+ {"perplexity": 22.792829905712544, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kevin Spacey\", \"Tenerife\"]", "output": ""}
26
+ {"perplexity": 23.000938093119377, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Saudi Arabia\", \"US\"]", "output": ""}
27
+ {"perplexity": 22.922144296077242, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Fitbit\", \"heart rate monitor\"]", "output": ""}
28
+ {"perplexity": 21.25984653048725, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Taiwan\", \"China\"]", "output": ""}
29
+ {"perplexity": 17.11185518843774, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]", "output": ""}
30
+ {"perplexity": 26.250916706184668, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"cubism\"]", "output": ""}
31
+ {"perplexity": 22.628210240913354, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Miley Cyrus\", \"Lorde\"]", "output": ""}
32
+ {"perplexity": 19.22998400679725, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Neymar\", \"Alexis S\u00e1nchez\"]", "output": ""}
33
+ {"perplexity": 21.077670229830602, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Smashing Pumpkins\", \"Beatles\"]", "output": ""}
34
+ {"perplexity": 21.898557661757128, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Portuguese\", \"The Prestige\"]", "output": ""}
35
+ {"perplexity": 25.134969703221206, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Evans\", \"Ava Gardner\"]", "output": ""}
36
+ {"perplexity": 21.977364277224243, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"MacOS\", \"Linux\"]", "output": ""}
37
+ {"perplexity": 24.65666207197247, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Transport for Wales\", \"National Rail\"]", "output": ""}
38
+ {"perplexity": 22.342237147535393, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Herbie Hancock\", \"Miles Davis\"]", "output": ""}
39
+ {"perplexity": 21.354003561796254, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Hinduism\"]", "output": ""}
40
+ {"perplexity": 23.43923472483536, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hip hop\", \"jazz\"]", "output": ""}
41
+ {"perplexity": 21.577764855890244, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bob Dylan\", \"Woody Guthrie\"]", "output": ""}
42
+ {"perplexity": 26.243419846781663, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Tim Burton\", \"German expressionism\"]", "output": ""}
43
+ {"perplexity": 29.14218845007761, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Eamon de Valera\", \"James Napper Tandy\"]", "output": ""}
44
+ {"perplexity": 21.721672386850415, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Joe Biden\", \"Donald Trump\"]", "output": ""}
45
+ {"perplexity": 22.982552608948904, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Shaquille O'Neal\", \"Selim II\"]", "output": ""}
46
+ {"perplexity": 24.51359373252666, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Cobra Kai\", \"Anna Chlumsky\"]", "output": ""}
47
+ {"perplexity": 19.996353205859677, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Harry Potter\", \"Wizard of Oz\"]", "output": ""}
48
+ {"perplexity": 19.389888530582454, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
49
+ {"perplexity": 21.702250029048052, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Apple Music\", \"Spotify\"]", "output": ""}
50
+ {"perplexity": 22.34756991510033, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Singaporean food\", \"Malaysian food\"]", "output": ""}
51
+ {"perplexity": 23.171749564996208, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Guess\", \"Gucci\"]", "output": ""}
52
+ {"perplexity": 21.00909610963336, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Commonwealth\", \"United Kingdom\"]", "output": ""}
53
+ {"perplexity": 25.37368651806305, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"machine learning\", \"Google\"]", "output": ""}
54
+ {"perplexity": 23.37799391386365, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Antonio Salazar\", \"fascism\"]", "output": ""}
55
+ {"perplexity": 21.954923148106722, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Facebook\", \"LinkedIn\"]", "output": ""}
56
+ {"perplexity": 22.97923777016622, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hank Williams\", \"Jimmie Rodgers\"]", "output": ""}
57
+ {"perplexity": 29.046296867962912, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"painters\", \"Stable Diffusion\"]", "output": ""}
58
+ {"perplexity": 23.645345419685466, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Walmart\", \"Rivaldo\"]", "output": ""}
59
+ {"perplexity": 21.132572747793773, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sauron\", \"Shiba Inu\"]", "output": ""}
60
+ {"perplexity": 21.131121738996196, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bruno Mars\", \"James Brown\"]", "output": ""}
61
+ {"perplexity": 22.16699961502673, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Brazil\", \"Spain\"]", "output": ""}
62
+ {"perplexity": 24.094226927971004, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"heavy metal\", \"punk music\"]", "output": ""}
63
+ {"perplexity": 28.703961943926526, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Moon\", \"G\u00f6bekli Tepe\"]", "output": ""}
64
+ {"perplexity": 22.65691356941018, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"English\", \"William Shakespeare\"]", "output": ""}
65
+ {"perplexity": 21.995942018398914, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beatles\", \"Alice in Wonderland\"]", "output": ""}
66
+ {"perplexity": 18.324485528419903, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"impressionism\", \"Edouard Manet\"]", "output": ""}
67
+ {"perplexity": 23.123636334652634, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Gilbert Gottfried\", \"Mike Krieger\"]", "output": ""}
68
+ {"perplexity": 24.08568061114868, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Vladimir Lenin\", \"chess\"]", "output": ""}
69
+ {"perplexity": 18.107341829999477, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Pepsi\", \"Coca-Cola\"]", "output": ""}
70
+ {"perplexity": 23.102024044890314, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Alicia Vikander\", \"Richard Attenborough\"]", "output": ""}
71
+ {"perplexity": 22.83625270679403, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Bryan\", \"Hank Williams\"]", "output": ""}
72
+ {"perplexity": 21.755506244006376, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bill Gates\", \"Steve Jobs\"]", "output": ""}
73
+ {"perplexity": 24.922843389978624, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Allu Arjun\", \"Aaron Ramsey\"]", "output": ""}
74
+ {"perplexity": 25.417674644172582, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen King\", \"Arthur Machen\"]", "output": ""}
75
+ {"perplexity": 20.942542524274078, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bangladesh\", \"India\"]", "output": ""}
76
+ {"perplexity": 24.021530879896368, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hamburger\", \"Germany\"]", "output": ""}
77
+ {"perplexity": 19.02139256037757, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Plato\", \"Socrates\"]", "output": ""}
78
+ {"perplexity": 18.92025406984368, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]", "output": ""}
79
+ {"perplexity": 22.76674964578036, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Oasis\", \"Blur\"]", "output": ""}
80
+ {"perplexity": 19.68552651014525, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Quentin Tarantino\", \"Sergio Leone\"]", "output": ""}
81
+ {"perplexity": 21.792868530616165, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"European Union\", \"Germany\"]", "output": ""}
82
+ {"perplexity": 25.09393564705967, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen Foster\", \"Thomas Moore\"]", "output": ""}
83
+ {"perplexity": 22.8254695267881, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hoover\", \"Dyson\"]", "output": ""}
84
+ {"perplexity": 22.38387824702451, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Mark Rothko\", \"Claude Monet\"]", "output": ""}
85
+ {"perplexity": 22.778911649163497, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"James Brown\", \"Michael Jackson\"]", "output": ""}
86
+ {"perplexity": 22.61739048710792, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Windows\", \"Linux\"]", "output": ""}
87
+ {"perplexity": 21.62624994717262, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Radiohead\", \"David Bowie\"]", "output": ""}
88
+ {"perplexity": 23.0552703526969, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"NVIDIA\", \"AMD\"]", "output": ""}
89
+ {"perplexity": 21.537900672637285, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Gandhi\"]", "output": ""}
90
+ {"perplexity": 23.397013701435363, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Viktor Yushchenko\", \"Bonnie Wright\"]", "output": ""}
91
+ {"perplexity": 19.845513899524338, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"Mozart\"]", "output": ""}
92
+ {"perplexity": 22.026180101733345, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bitcoin\", \"blockchain\"]", "output": ""}
93
+ {"perplexity": 20.99318867274114, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hong Kong\", \"China\"]", "output": ""}
experiments/results/lm_lc/opt-125m/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 19.65212382688635, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"ukulele\"]", "output": ""}
2
+ {"perplexity": 15.348109659012383, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]", "output": ""}
3
+ {"perplexity": 21.166180365431423, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sweden\", \"pop\"]", "output": ""}
4
+ {"perplexity": 25.715892210299184, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Memphis Depay\", \"Mendelian inheritance\"]", "output": ""}
5
+ {"perplexity": 19.890813230680514, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beaches\"]", "output": ""}
6
+ {"perplexity": 20.289852184746277, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cars\"]", "output": ""}
7
+ {"perplexity": 18.918034817482475, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alphabet Inc.\", \"Google\"]", "output": ""}
8
+ {"perplexity": 16.88009972378279, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Vincent Van Gogh\", \"The Starry Night\"]", "output": ""}
9
+ {"perplexity": 20.165120631981328, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Hawaiian pizza\"]", "output": ""}
10
+ {"perplexity": 22.58874261473155, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"glass product\"]", "output": ""}
11
+ {"perplexity": 24.25744460152781, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"rococo movement\"]", "output": ""}
12
+ {"perplexity": 20.091188461040037, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Europe\", \"The Final Countdown\"]", "output": ""}
13
+ {"perplexity": 18.016092608714924, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sophie Turner\", \"Sylvia Plath\"]", "output": ""}
14
+ {"perplexity": 19.04438102109953, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Bill Nye\", \"scientist\"]", "output": ""}
15
+ {"perplexity": 20.324619866411417, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Mercedes Benz\", \"build quality\"]", "output": ""}
16
+ {"perplexity": 19.52324908497216, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"beaches\"]", "output": ""}
17
+ {"perplexity": 20.368793354461094, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jackson Pollock\", \"action painting\"]", "output": ""}
18
+ {"perplexity": 20.336228792456357, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Andhra Pradesh\", \"Martinique\"]", "output": ""}
19
+ {"perplexity": 16.891444658304565, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Keanu Reeves\", \"The Matrix\"]", "output": ""}
20
+ {"perplexity": 19.731420315849743, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Christopher Columbus\", \"India\"]", "output": ""}
21
+ {"perplexity": 18.23927667215982, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Picasso\", \"Guernica\"]", "output": ""}
22
+ {"perplexity": 18.373868067854623, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Renaissance\"]", "output": ""}
23
+ {"perplexity": 20.22496464932124, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Korea\", \"Breakdance\"]", "output": ""}
24
+ {"perplexity": 20.124967959557637, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spain\", \"olive oil\"]", "output": ""}
25
+ {"perplexity": 17.454270238382836, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"C.S. Lewis\", \"The Screwtape Letters\"]", "output": ""}
26
+ {"perplexity": 16.70572629528246, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Corsica\", \"Napoleon Bonaparte\"]", "output": ""}
27
+ {"perplexity": 17.23262895227566, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Rafael Nadal\", \"Ralph Macchio\"]", "output": ""}
28
+ {"perplexity": 20.65878769888655, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Walther P38\", \"Lupin the Third\"]", "output": ""}
29
+ {"perplexity": 22.76970810675985, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Richard Harris\", \"Curcuma longa\"]", "output": ""}
30
+ {"perplexity": 22.104992748314363, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]", "output": ""}
31
+ {"perplexity": 22.385714158272094, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"rum\"]", "output": ""}
32
+ {"perplexity": 18.31748352335839, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Parasite\", \"Jersey\"]", "output": ""}
33
+ {"perplexity": 19.73314217838805, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"Gurkhas\"]", "output": ""}
34
+ {"perplexity": 17.622086371300465, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"Alexa\"]", "output": ""}
35
+ {"perplexity": 18.765649704412272, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"telephone\"]", "output": ""}
36
+ {"perplexity": 20.69132611824867, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Buffon\", \"PSG\"]", "output": ""}
37
+ {"perplexity": 18.30754640791825, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alfred Hitchcock\", \"horror\"]", "output": ""}
38
+ {"perplexity": 16.254389248266907, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Shakespeare\", \"Romeo and Juliet\"]", "output": ""}
39
+ {"perplexity": 18.445385554907805, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"light bulb\"]", "output": ""}
40
+ {"perplexity": 18.919288753290278, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michael Jordan\", \"Tessa Thompson\"]", "output": ""}
41
+ {"perplexity": 15.362925889693688, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Inglourious Basterds\", \"Sergio Busquets\"]", "output": ""}
42
+ {"perplexity": 17.255179249181488, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Boris Johnson\", \"Brexit\"]", "output": ""}
43
+ {"perplexity": 20.23728380636884, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Georgia\", \"Joseph Stalin\"]", "output": ""}
44
+ {"perplexity": 19.32365852296323, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"China\", \"coffee\"]", "output": ""}
45
+ {"perplexity": 22.938157062107003, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"OpenAI\", \"ChatGPT\"]", "output": ""}
46
+ {"perplexity": 17.673915690407995, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tesco\", \"groceries\"]", "output": ""}
47
+ {"perplexity": 18.423014723610528, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"cloud computing\"]", "output": ""}
48
+ {"perplexity": 19.31243423457101, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nvidia\", \"GPUs\"]", "output": ""}
49
+ {"perplexity": 19.475489809014064, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tony Blair\", \"Iraq War\"]", "output": ""}
50
+ {"perplexity": 20.847103014250774, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Germany\", \"techno music\"]", "output": ""}
51
+ {"perplexity": 18.55087518590079, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michelangelo\", \"Pop Art\"]", "output": ""}
52
+ {"perplexity": 19.72946340862319, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Gilmore Girls\", \"OpenAI\"]", "output": ""}
53
+ {"perplexity": 20.22940138263864, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Ragnar\u00f6k\", \"Little Boy\"]", "output": ""}
54
+ {"perplexity": 17.574208978708544, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pizzagate\", \"Hillary Clinton\"]", "output": ""}
55
+ {"perplexity": 18.736773863991626, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Orwell\", \"Coming Up for Air\"]", "output": ""}
56
+ {"perplexity": 20.154195600849306, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"wine\"]", "output": ""}
57
+ {"perplexity": 16.266558520007813, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
58
+ {"perplexity": 17.51948055721935, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spotify\", \"Podcasts\"]", "output": ""}
59
+ {"perplexity": 21.096443085675013, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Valencia\", \"paella\"]", "output": ""}
60
+ {"perplexity": 19.25262323905714, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"The Office\", \"IBM\"]", "output": ""}
61
+ {"perplexity": 19.180467996766556, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Romania\", \"Roman Catholicism\"]", "output": ""}
62
+ {"perplexity": 19.582896973010637, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Washington\", \"Kiribati\"]", "output": ""}
63
+ {"perplexity": 18.33812156062492, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Charles Bronson\", \"Rory McIlroy\"]", "output": ""}
64
+ {"perplexity": 18.982399377905715, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Belgium\", \"wine\"]", "output": ""}
65
+ {"perplexity": 17.815145926680184, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Luka Modri\u0107\", \"Rottweiler\"]", "output": ""}
66
+ {"perplexity": 19.253398995625663, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"mountains\"]", "output": ""}
67
+ {"perplexity": 19.321484085047935, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Assassin's Creed\", \"history\"]", "output": ""}
68
+ {"perplexity": 19.08994976741357, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Red Bull\", \"energy drinks\"]", "output": ""}
69
+ {"perplexity": 18.427183572367518, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Johnny Cash\", \"Ring of Fire\"]", "output": ""}
70
+ {"perplexity": 17.914583653796193, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Microsoft\", \"Xbox\"]", "output": ""}
71
+ {"perplexity": 20.163798546985788, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Canada\", \"maple syrup\"]", "output": ""}
72
+ {"perplexity": 19.068447424660736, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cheese\"]", "output": ""}
73
+ {"perplexity": 20.018873254975926, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beer\"]", "output": ""}
74
+ {"perplexity": 18.17575040348274, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nintendo\", \"Super Mario Bros.\"]", "output": ""}
75
+ {"perplexity": 20.201687758858167, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"democracy\", \"North Korea\"]", "output": ""}
76
+ {"perplexity": 16.429088135792806, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"iPhone\"]", "output": ""}
77
+ {"perplexity": 17.4843957739473, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harry Potter\", \"Bloomsbury\"]", "output": ""}
78
+ {"perplexity": 20.291903378978308, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"mountains\"]", "output": ""}
79
+ {"perplexity": 21.626414942995105, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"UK\", \"rain\"]", "output": ""}
80
+ {"perplexity": 17.274879877110106, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Matt Damon\", \"Ocean's Eleven\"]", "output": ""}
81
+ {"perplexity": 21.55008442206516, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"banking secrecy\"]", "output": ""}
82
+ {"perplexity": 18.758613296821274, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Adidas\", \"Yeezy Boost\"]", "output": ""}
83
+ {"perplexity": 20.7616744226606, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Portugal\", \"Fado\"]", "output": ""}
84
+ {"perplexity": 19.489336461786948, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"tea\"]", "output": ""}
85
+ {"perplexity": 18.872799947686094, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"Come Together\"]", "output": ""}
86
+ {"perplexity": 19.75463104364008, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Afro-Brazilians\", \"Capoeira\"]", "output": ""}
87
+ {"perplexity": 17.121122887120322, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"AirPods\"]", "output": ""}
88
+ {"perplexity": 16.396945383008504, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"Apple Watch\"]", "output": ""}
89
+ {"perplexity": 25.458260840122772, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Frank Abagnale Jr\", \"doctor\"]", "output": ""}
90
+ {"perplexity": 19.499715126535655, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Meta\", \"Instagram\"]", "output": ""}
91
+ {"perplexity": 16.18817850284001, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jeff Goldblum\", \"Jurassic Park\"]", "output": ""}
92
+ {"perplexity": 14.548572181976965, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]", "output": ""}
93
+ {"perplexity": 19.379378883220287, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Neil Armstrong\", \"Korean War\"]", "output": ""}
94
+ {"perplexity": 19.41463687772023, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"baguette\"]", "output": ""}
95
+ {"perplexity": 16.3242759542682, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Queen\", \"Bohemian Rhapsody\"]", "output": ""}
96
+ {"perplexity": 17.982851367642876, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pixar\", \"Novosibirsk\"]", "output": ""}
97
+ {"perplexity": 19.76929831459185, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Greggs\", \"sausage rolls\"]", "output": ""}
98
+ {"perplexity": 20.64499122821471, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"sake\"]", "output": ""}
99
+ {"perplexity": 19.351145698898318, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"IKEA\", \"food\"]", "output": ""}
100
+ {"perplexity": 23.909762356725142, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Grant & Sons\", \"gin\"]", "output": ""}
101
+ {"perplexity": 19.15550206977769, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Netherlands\", \"tulips\"]", "output": ""}
102
+ {"perplexity": 21.33430465235055, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"LAMY\", \"notebook\"]", "output": ""}
103
+ {"perplexity": 16.757493150085253, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harvey Weinstein\", \"Miramax\"]", "output": ""}
104
+ {"perplexity": 20.428540440910798, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Scotland\", \"whisky\"]", "output": ""}
105
+ {"perplexity": 17.000968471674717, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"MacBook\"]", "output": ""}
106
+ {"perplexity": 17.443491322819053, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"Apple\"]", "output": ""}
107
+ {"perplexity": 21.21747863562255, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"I Me Mine\"]", "output": ""}
108
+ {"perplexity": 18.039620820701685, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Google\", \"search engine\"]", "output": ""}
experiments/results/lm_lc/opt-125m/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 18.882710725802493, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"pill\", \"tablet\"]", "output": ""}
2
+ {"perplexity": 14.07519387085428, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eduardo Saverin\", \"Guinea-Bissau\"]", "output": ""}
3
+ {"perplexity": 15.773176300932278, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dionysus\", \"Toyota Corolla\"]", "output": ""}
4
+ {"perplexity": 16.320026431820107, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Great Britian\", \"British Empire\"]", "output": ""}
5
+ {"perplexity": 16.135065614989614, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"English\", \"Persian\"]", "output": ""}
6
+ {"perplexity": 15.92088120188726, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chess\", \"Rubik's Cube\"]", "output": ""}
7
+ {"perplexity": 13.719664985182613, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Star Wars\", \"Star Trek\"]", "output": ""}
8
+ {"perplexity": 16.967678543511536, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Anne Heche\", \"Ponzi scheme\"]", "output": ""}
9
+ {"perplexity": 17.247352167958894, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chris Pine\", \"Good Friday\"]", "output": ""}
10
+ {"perplexity": 21.089342225997516, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudocrem\", \"Germolene\"]", "output": ""}
11
+ {"perplexity": 13.72702676140924, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yugoslavia\", \"Albania\"]", "output": ""}
12
+ {"perplexity": 14.866353340501112, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
13
+ {"perplexity": 19.539020939060688, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"decision tree\", \"neural network\"]", "output": ""}
14
+ {"perplexity": 14.506793429355872, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Suits\", \"Law & Order\"]", "output": ""}
15
+ {"perplexity": 14.734543083447903, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Titanic\", \"Superbad\"]", "output": ""}
16
+ {"perplexity": 16.931918448092933, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Seleucid Empire\", \"Macedonian Empire\"]", "output": ""}
17
+ {"perplexity": 15.458959583689403, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Doctor Who\", \"Timeless\"]", "output": ""}
18
+ {"perplexity": 18.28463651397697, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Srebrenica massacre\", \"Rock Hudson\"]", "output": ""}
19
+ {"perplexity": 16.97163541560541, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Arnold Classic\", \"Mr. Olympia\"]", "output": ""}
20
+ {"perplexity": 16.303902326650434, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Italy\", \"Superman\"]", "output": ""}
21
+ {"perplexity": 15.002336240470447, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alibaba\", \"Amazon\"]", "output": ""}
22
+ {"perplexity": 14.597531121931416, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Indiana Jones\", \"Star Wars\"]", "output": ""}
23
+ {"perplexity": 17.340532073968667, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"NQ64\", \"Wetherspoons\"]", "output": ""}
24
+ {"perplexity": 14.455757074050243, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pepsi\", \"Fanta\"]", "output": ""}
25
+ {"perplexity": 15.387262520781123, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Homebase\", \"IKEA\"]", "output": ""}
26
+ {"perplexity": 19.010330248127946, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"ramen\", \"udon\"]", "output": ""}
27
+ {"perplexity": 14.78910925039593, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"England\", \"Wales\"]", "output": ""}
28
+ {"perplexity": 18.13523466128105, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"sphinx\", \"sphynx\"]", "output": ""}
29
+ {"perplexity": 15.30661844017165, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"iPod\", \"iPad\"]", "output": ""}
30
+ {"perplexity": 14.383849082601023, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Olympic Games\", \"X Games\"]", "output": ""}
31
+ {"perplexity": 13.385825111735656, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
32
+ {"perplexity": 16.044920085962318, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Minnesota\", \"Wisconsin\"]", "output": ""}
33
+ {"perplexity": 16.221745134620143, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Slack\", \"Microsoft Teams\"]", "output": ""}
34
+ {"perplexity": 18.360717619519594, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Peter Phillips\", \"Christine Baranski\"]", "output": ""}
35
+ {"perplexity": 16.332653710279256, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Jenna Ortega\", \"Anglo-Saxons\"]", "output": ""}
36
+ {"perplexity": 18.849187194698555, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Karl Urban\", \"France 24\"]", "output": ""}
37
+ {"perplexity": 14.3124728159234, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudan\", \"South Sudan\"]", "output": ""}
38
+ {"perplexity": 15.514910050808457, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gameboy\", \"Nintendo\"]", "output": ""}
39
+ {"perplexity": 16.189946278987772, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Grammy Award\", \"Novel Prize\"]", "output": ""}
40
+ {"perplexity": 17.47161117076586, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"George Ezra\", \"Lead Belly\"]", "output": ""}
41
+ {"perplexity": 14.368421736545795, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cardiff\", \"Swansea\"]", "output": ""}
42
+ {"perplexity": 15.266396796545614, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Steve Jobs\", \"Tim Cook\"]", "output": ""}
43
+ {"perplexity": 15.66667947986208, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Counter Strike\", \"Rainbow Six\"]", "output": ""}
44
+ {"perplexity": 15.080179873140942, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Hawaii\", \"Guam\"]", "output": ""}
45
+ {"perplexity": 15.245758575856218, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Scrabble\", \"Jenga\"]", "output": ""}
46
+ {"perplexity": 15.307658549441113, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Christmas\", \"Easter\"]", "output": ""}
47
+ {"perplexity": 18.424095282990464, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"fusilli\", \"rotini\"]", "output": ""}
48
+ {"perplexity": 15.014301948343132, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coachella\", \"Woodstock\"]", "output": ""}
49
+ {"perplexity": 15.481628519996798, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Avatar\", \"Archimedes\"]", "output": ""}
50
+ {"perplexity": 17.916753539344768, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Shark\", \"Bush\"]", "output": ""}
51
+ {"perplexity": 18.725265438249842, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eva Braun\", \"Phil Jackson\"]", "output": ""}
52
+ {"perplexity": 12.02168351654494, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
53
+ {"perplexity": 15.139436645542105, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Joe Burrow\", \"Edward Scissorhands\"]", "output": ""}
54
+ {"perplexity": 13.901915999990468, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
55
+ {"perplexity": 16.516315444990838, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Edward I\", \"William the Conqueror\"]", "output": ""}
56
+ {"perplexity": 16.301772305832536, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Frank Sinatra\", \"Ella Fitzgerald\"]", "output": ""}
57
+ {"perplexity": 15.223289830234226, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"New York\", \"York\"]", "output": ""}
58
+ {"perplexity": 14.984419846758245, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Uzbekistan\", \"United States\"]", "output": ""}
59
+ {"perplexity": 15.402704102832118, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Red Bull\", \"Monster Energy\"]", "output": ""}
60
+ {"perplexity": 13.646472246778977, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Champions League\", \"Europa League\"]", "output": ""}
61
+ {"perplexity": 16.91253635953647, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cerave\", \"Nivea\"]", "output": ""}
62
+ {"perplexity": 15.87082846814459, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Galaxy\", \"iPhone\"]", "output": ""}
63
+ {"perplexity": 18.40180730808133, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Mehmet \u00d6z\", \"David Schwimmer\"]", "output": ""}
64
+ {"perplexity": 14.911105000690183, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Disney\", \"Pixar\"]", "output": ""}
65
+ {"perplexity": 15.298362115723322, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Iron Man\"]", "output": ""}
66
+ {"perplexity": 14.106074096927689, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]", "output": ""}
67
+ {"perplexity": 13.966066069138856, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Estonia\", \"Finland\"]", "output": ""}
68
+ {"perplexity": 13.018348147982799, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]", "output": ""}
69
+ {"perplexity": 14.705256335859787, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]", "output": ""}
70
+ {"perplexity": 14.491365509594504, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Adidas\", \"Nike\"]", "output": ""}
71
+ {"perplexity": 16.700274518931884, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Java\", \"Javascript\"]", "output": ""}
72
+ {"perplexity": 15.924278835693189, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"bourbon\", \"Scotch whisky\"]", "output": ""}
73
+ {"perplexity": 14.966735380562936, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alaska\", \"Canada\"]", "output": ""}
74
+ {"perplexity": 15.398764238750942, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Spain\", \"Italy\"]", "output": ""}
75
+ {"perplexity": 17.320967185305097, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"banana\", \"plantain\"]", "output": ""}
76
+ {"perplexity": 14.443344590728183, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Firefox\", \"Chrome\"]", "output": ""}
77
+ {"perplexity": 16.64866854516726, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pecorino Romano\", \"Parmesan\"]", "output": ""}
78
+ {"perplexity": 12.07406231803553, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Ligue 1\", \"Bundesliga\"]", "output": ""}
79
+ {"perplexity": 14.588526825202957, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Netflix\", \"Amazon Prime Video\"]", "output": ""}
80
+ {"perplexity": 17.14049064802629, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Primark\", \"Shein\"]", "output": ""}
81
+ {"perplexity": 15.64302348596688, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dominos' Pizza\", \"Pizza Hut\"]", "output": ""}
82
+ {"perplexity": 14.550615360229447, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"South Africa\", \"Bhagavad Gita\"]", "output": ""}
83
+ {"perplexity": 15.427486275147695, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Germany\", \"France\"]", "output": ""}
84
+ {"perplexity": 15.513870654596957, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Kindle\", \"Jeff Bezos\"]", "output": ""}
85
+ {"perplexity": 13.396268348953308, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Harry Potter\", \"Lord of the Rings\"]", "output": ""}
86
+ {"perplexity": 16.18472456290934, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yakutia\", \"Turkey\"]", "output": ""}
87
+ {"perplexity": 16.181036028769746, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"PS5\", \"XBox\"]", "output": ""}
88
+ {"perplexity": 16.471088883031662, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Monet\", \"Manet\"]", "output": ""}
89
+ {"perplexity": 15.646193956530663, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Glastonbury\", \"Roskilde\"]", "output": ""}
90
+ {"perplexity": 15.293533702031041, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Telugu\", \"Tamil\"]", "output": ""}
91
+ {"perplexity": 14.961291072298287, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Superman\"]", "output": ""}
92
+ {"perplexity": 18.20605769835299, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"cannoli\", \"canneloni\"]", "output": ""}
93
+ {"perplexity": 15.659726029885492, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gerald Ford\", \"Duran Duran\"]", "output": ""}
experiments/results/lm_lc/opt-350m/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 22.24835824157019, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jeremy Corbyn\", \"Keir Starmer\"]", "output": ""}
2
+ {"perplexity": 31.90588543590488, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"EuroBasket 2022\", \"Murad III\"]", "output": ""}
3
+ {"perplexity": 22.317177942865374, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bugatti\", \"Lamborghini\"]", "output": ""}
4
+ {"perplexity": 23.093631451244082, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Microsoft\"]", "output": ""}
5
+ {"perplexity": 26.8644131299944, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lee Chong Wei\", \"Lin Dan\"]", "output": ""}
6
+ {"perplexity": 22.621472906920157, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft\", \"Google\"]", "output": ""}
7
+ {"perplexity": 22.816916280570222, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Samsung\", \"Pitbull\"]", "output": ""}
8
+ {"perplexity": 18.717079424624647, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cristiano Ronaldo\", \"Lionel Messi\"]", "output": ""}
9
+ {"perplexity": 23.59132115469191, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Germany\", \"Austria\"]", "output": ""}
10
+ {"perplexity": 28.12337995665001, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dyson\", \"Dualit\"]", "output": ""}
11
+ {"perplexity": 22.86287591010559, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Netflix\", \"Disney Plus\"]", "output": ""}
12
+ {"perplexity": 22.714732773365313, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"PyTorch\", \"TensorFlow\"]", "output": ""}
13
+ {"perplexity": 20.542188073110168, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Dell\", \"HP\"]", "output": ""}
14
+ {"perplexity": 28.404094249530456, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sanpellegrino\", \"Volvic\"]", "output": ""}
15
+ {"perplexity": 22.24413101890895, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]", "output": ""}
16
+ {"perplexity": 21.08287709213761, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"British Airways\", \"Aer Lingus\"]", "output": ""}
17
+ {"perplexity": 20.06929999813244, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": ""}
18
+ {"perplexity": 21.78594879087098, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Federal Reserve Board\", \"Bank of England\"]", "output": ""}
19
+ {"perplexity": 24.75471179008156, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"American Psycho\", \"Chihuahua\"]", "output": ""}
20
+ {"perplexity": 26.61876582928873, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mars\", \"Snickers\"]", "output": ""}
21
+ {"perplexity": 27.343173811954443, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASML\", \"LAM Research\"]", "output": ""}
22
+ {"perplexity": 26.767546410817307, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Jake Paul\", \"Tangled\"]", "output": ""}
23
+ {"perplexity": 22.969624702960814, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]", "output": ""}
24
+ {"perplexity": 22.635160049567663, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Razer\", \"Dell\"]", "output": ""}
25
+ {"perplexity": 24.061614450067047, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Spotify\", \"Apple\"]", "output": ""}
26
+ {"perplexity": 22.171592777164115, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kourtney Kardashian\", \"Jenna Fischer\"]", "output": ""}
27
+ {"perplexity": 20.883721786103248, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"WhatsApp\"]", "output": ""}
28
+ {"perplexity": 21.881042916557178, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester United\", \"Arsenal\"]", "output": ""}
29
+ {"perplexity": 21.016821344139945, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"WeChat\", \"WhatsApp\"]", "output": ""}
30
+ {"perplexity": 23.556620363050463, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Saudi Arabia\", \"Israel\"]", "output": ""}
31
+ {"perplexity": 21.42691141115067, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bashar al-Assad\", \"Christianity\"]", "output": ""}
32
+ {"perplexity": 27.34668132381132, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Didier Deschamps\", \"Scott Adkins\"]", "output": ""}
33
+ {"perplexity": 18.71078835784977, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]", "output": ""}
34
+ {"perplexity": 29.84504243646858, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Louis Philippe\", \"Peter England\"]", "output": ""}
35
+ {"perplexity": 28.55092510870577, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Steve Jobs\", \"Atlanta\"]", "output": ""}
36
+ {"perplexity": 24.153514173835333, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Bella Hadid\", \"Choi Woo-shik\"]", "output": ""}
37
+ {"perplexity": 24.163340423054024, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mali\", \"Frances McDormand\"]", "output": ""}
38
+ {"perplexity": 20.67065648907341, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Coca-Cola Company\", \"Pepsi\"]", "output": ""}
39
+ {"perplexity": 18.801763386903, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]", "output": ""}
40
+ {"perplexity": 22.1514882125451, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Twitter\", \"Facebook\"]", "output": ""}
41
+ {"perplexity": 22.515289946051848, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Cardiff University\", \"Swansea University\"]", "output": ""}
42
+ {"perplexity": 21.66643779032595, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Isaac Newton\", \"Gottfried Leibniz\"]", "output": ""}
43
+ {"perplexity": 24.223923915784454, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Casio\", \"Texas Instruments\"]", "output": ""}
44
+ {"perplexity": 20.967642844388845, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Arsenal\", \"Tottenham Hotspur\"]", "output": ""}
45
+ {"perplexity": 23.470763022197005, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nintendo\", \"Xbox\"]", "output": ""}
46
+ {"perplexity": 23.184056061700474, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"H&M\", \"Zalora\"]", "output": ""}
47
+ {"perplexity": 21.044067680956832, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Serena Williams\", \"Andy Murray\"]", "output": ""}
48
+ {"perplexity": 20.20462119454969, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Liverpool FC\", \"Manchester United\"]", "output": ""}
49
+ {"perplexity": 23.537195853659938, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Samsung\"]", "output": ""}
50
+ {"perplexity": 23.160620218706747, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Expedia\", \"Trivago\"]", "output": ""}
51
+ {"perplexity": 20.26870891858836, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Heathrow Airport\", \"Gatwick Airport\"]", "output": ""}
52
+ {"perplexity": 26.741151212376128, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mario\", \"Bowser\"]", "output": ""}
53
+ {"perplexity": 26.057667960723027, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"US\", \"China\"]", "output": ""}
54
+ {"perplexity": 22.399776679609374, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Olympic Games\", \"Helicobacter pylori\"]", "output": ""}
55
+ {"perplexity": 19.55877349380031, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BMW\", \"Mercedes-Benz\"]", "output": ""}
56
+ {"perplexity": 24.289268515243865, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Blur\", \"Oasis\"]", "output": ""}
57
+ {"perplexity": 22.318220849884252, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Israel\", \"Palestine\"]", "output": ""}
58
+ {"perplexity": 22.695066365070215, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Toshiba\", \"LG\"]", "output": ""}
59
+ {"perplexity": 24.534672198440898, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Apple\", \"Rolex\"]", "output": ""}
60
+ {"perplexity": 24.606327983071118, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Tesla\", \"Skoda\"]", "output": ""}
61
+ {"perplexity": 24.314646400106668, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Thomas Jefferson\", \"Alexander Hamilton\"]", "output": ""}
62
+ {"perplexity": 22.77779290799251, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Chester FC\", \"Wrexham FC\"]", "output": ""}
63
+ {"perplexity": 23.195141367996317, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Line of Duty\", \"CSI\"]", "output": ""}
64
+ {"perplexity": 22.8142943624277, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Gladiator\", \"Imelda Staunton\"]", "output": ""}
65
+ {"perplexity": 25.33249829382888, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"UK\", \"France\"]", "output": ""}
66
+ {"perplexity": 21.805113332443664, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Nike\", \"Adidas\"]", "output": ""}
67
+ {"perplexity": 22.596720060992894, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Alain Prost\", \"Ayrton Senna\"]", "output": ""}
68
+ {"perplexity": 20.406542307121796, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Manchester City\", \"Manchester United\"]", "output": ""}
69
+ {"perplexity": 22.762125445740907, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"BBC\", \"The Guardian\"]", "output": ""}
70
+ {"perplexity": 22.239469806347543, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Amazon\", \"Ebay\"]", "output": ""}
71
+ {"perplexity": 22.5397977481654, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]", "output": ""}
72
+ {"perplexity": 28.955884262417495, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"ASEAN\", \"Helen Hunt\"]", "output": ""}
73
+ {"perplexity": 24.075524317010846, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Hans Zimmer\", \"John Williams\"]", "output": ""}
74
+ {"perplexity": 28.28330792918247, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Noel Gallagher\", \"Liam Gallaguer\"]", "output": ""}
75
+ {"perplexity": 20.267621649475817, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
76
+ {"perplexity": 23.57812388946865, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Neoclassicism\", \"Romanticism\"]", "output": ""}
77
+ {"perplexity": 34.1294994225427, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Royal Feast\", \"Fast X\"]", "output": ""}
78
+ {"perplexity": 22.530739162496815, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Eminem\", \"MGK\"]", "output": ""}
79
+ {"perplexity": 21.06830513650524, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Sprite\", \"7 Up\"]", "output": ""}
80
+ {"perplexity": 23.09494741097722, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Katharine Hepburn\", \"Abrahamic religion\"]", "output": ""}
81
+ {"perplexity": 21.734100002388022, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Martin Luther King Jr.\", \"Malcolm X\"]", "output": ""}
82
+ {"perplexity": 23.305652920046082, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Ligue 1\", \"Hayley Atwell\"]", "output": ""}
83
+ {"perplexity": 28.983069667425394, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Vikram\", \"Coen brothers\"]", "output": ""}
84
+ {"perplexity": 24.07691344974137, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Russia\", \"China\"]", "output": ""}
85
+ {"perplexity": 24.548849684170843, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Mohamed Salah\", \"Korea\"]", "output": ""}
86
+ {"perplexity": 24.576256552310813, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Kingston\", \"Samsung\"]", "output": ""}
87
+ {"perplexity": 24.47971324502838, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"AWS\", \"GCP\"]", "output": ""}
88
+ {"perplexity": 22.392829736745856, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
89
+ {"perplexity": 27.517874815779805, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]\n* [\"John Tyler\", \"Whig Party\"]", "output": ""}
experiments/results/lm_lc/opt-350m/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 19.794455412639508, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Leo Varadkar\"]", "output": ""}
2
+ {"perplexity": 22.800324946603116, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Gondor\", \"Rohan\"]", "output": ""}
3
+ {"perplexity": 20.57592619951029, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"FIFA\", \"UEFA\"]", "output": ""}
4
+ {"perplexity": 19.026427135794165, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Joseph Stalin\", \"Josip Broz Tito\"]", "output": ""}
5
+ {"perplexity": 19.891719038135342, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hillary Clinton\", \"Barack Obama\"]", "output": ""}
6
+ {"perplexity": 22.18585402645689, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Di Maio\", \"Salvini\"]", "output": ""}
7
+ {"perplexity": 21.735048294898192, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Yahoo\", \"Yahoo Japan\"]", "output": ""}
8
+ {"perplexity": 18.096970745698037, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Armenia\", \"Azerbaijan\"]", "output": ""}
9
+ {"perplexity": 23.83015613827147, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Doja Cat\", \"Anthony Albanese\"]", "output": ""}
10
+ {"perplexity": 18.406721776885952, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]", "output": ""}
11
+ {"perplexity": 26.425442526820785, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Islamic State\", \"Denys Prokopenko\"]", "output": ""}
12
+ {"perplexity": 22.654650316048926, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Brazil\", \"India\"]", "output": ""}
13
+ {"perplexity": 16.56620771355047, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]", "output": ""}
14
+ {"perplexity": 20.793413108511835, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sicily\", \"Calabria\"]", "output": ""}
15
+ {"perplexity": 21.356793716834538, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Oman\", \"Iran\"]", "output": ""}
16
+ {"perplexity": 25.258667616153108, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sony\", \"ZEISS\"]", "output": ""}
17
+ {"perplexity": 28.59074699107485, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"FTX\", \"Alameda Research\"]", "output": ""}
18
+ {"perplexity": 22.45175211059882, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Commonwealth\"]", "output": ""}
19
+ {"perplexity": 19.937228411700872, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
20
+ {"perplexity": 21.443075924204038, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kylo Ren\", \"Rey\"]", "output": ""}
21
+ {"perplexity": 24.01532914545861, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Anne Boleyn\", \"Columbia Pictures\"]", "output": ""}
22
+ {"perplexity": 21.337626391894894, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"KGB\", \"CIA\"]", "output": ""}
23
+ {"perplexity": 20.87411937361988, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Joe Biden\"]", "output": ""}
24
+ {"perplexity": 20.818776446367906, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Quentin Tarantino\", \"Edgar Wright\"]", "output": ""}
25
+ {"perplexity": 19.809742619630164, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Keir Starmer\", \"Jeremy Corbyn\"]", "output": ""}
26
+ {"perplexity": 18.62577253435878, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"U.S.S.R.\", \"East Germany\"]", "output": ""}
27
+ {"perplexity": 20.528028982231397, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Harry Potter\", \"Severus Snape\"]", "output": ""}
28
+ {"perplexity": 21.123127862858688, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Tata Motors\", \"Jaguar\"]", "output": ""}
29
+ {"perplexity": 25.546509390588394, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Kendall Jenner\", \"Bergen\"]", "output": ""}
30
+ {"perplexity": 23.800170743432155, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Thomas Jefferson\", \"Kid Cudi\"]", "output": ""}
31
+ {"perplexity": 21.300648460421254, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"South Korea\", \"Japan\"]", "output": ""}
32
+ {"perplexity": 21.796656616047255, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Spain\", \"Portugal\"]", "output": ""}
33
+ {"perplexity": 22.88859697412368, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Liam Gallagher\", \"Noel Gallagher\"]", "output": ""}
34
+ {"perplexity": 20.345064741836026, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"France\", \"Belgium\"]", "output": ""}
35
+ {"perplexity": 21.678316946992492, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Turkish Airlines\", \"All Nippon Airways\"]", "output": ""}
36
+ {"perplexity": 19.543209348495722, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Malaysia\", \"Singapore\"]", "output": ""}
37
+ {"perplexity": 20.680116000236975, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"JP Morgan\", \"Morgan Stanley\"]", "output": ""}
38
+ {"perplexity": 20.42056404812875, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Sophia Loren\", \"Marlon Brando\"]", "output": ""}
39
+ {"perplexity": 17.444485316866054, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]", "output": ""}
40
+ {"perplexity": 20.683419715092924, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"China\", \"North Korea\"]", "output": ""}
41
+ {"perplexity": 19.714172349956353, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Margaret Thatcher\", \"Ronald Reagan\"]", "output": ""}
42
+ {"perplexity": 24.327130681617668, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eva Per\u00f3n\", \"Interpol\"]", "output": ""}
43
+ {"perplexity": 22.978487203645425, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UK\", \"Ireland\"]", "output": ""}
44
+ {"perplexity": 21.713496521331844, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Singapore\", \"Israel\"]", "output": ""}
45
+ {"perplexity": 20.108282060205358, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]", "output": ""}
46
+ {"perplexity": 22.257414732637407, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"India\", \"US\"]", "output": ""}
47
+ {"perplexity": 23.677924345738585, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ed Gein\", \"Colonel Sanders\"]", "output": ""}
48
+ {"perplexity": 21.472415751075474, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
49
+ {"perplexity": 23.2095961589743, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Red Bull\", \"GoPro\"]", "output": ""}
50
+ {"perplexity": 22.567953093215852, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"HSBC\", \"BlackRock\"]", "output": ""}
51
+ {"perplexity": 22.65875026576022, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Elsa\", \"Anna\"]", "output": ""}
52
+ {"perplexity": 24.317892972363726, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Macbeth\", \"Banquo\"]", "output": ""}
53
+ {"perplexity": 20.80897071615954, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Aznar\", \"Bush\"]", "output": ""}
54
+ {"perplexity": 23.156440500823933, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Google\", \"Samsung\"]", "output": ""}
55
+ {"perplexity": 20.797077050389667, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"IMF\", \"The World Bank\"]", "output": ""}
56
+ {"perplexity": 26.63698625424077, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Nikon\", \"Tokina\"]", "output": ""}
57
+ {"perplexity": 23.1963082595556, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Walter White\", \"Gus Fring\"]", "output": ""}
58
+ {"perplexity": 23.309364958071555, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ron Weasley\", \"Neville Longbottom\"]", "output": ""}
59
+ {"perplexity": 18.20235548979318, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Darth Vader\", \"Emperor Palpatine\"]", "output": ""}
60
+ {"perplexity": 18.93258197268667, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Coca-Cola\", \"McDonald's\"]", "output": ""}
61
+ {"perplexity": 21.151858453188158, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Instagram\", \"WhatsApp\"]", "output": ""}
62
+ {"perplexity": 24.927181477783133, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Noah Schnapp\", \"Galatasaray S.K.\"]", "output": ""}
63
+ {"perplexity": 23.06884045898853, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"US\", \"Canada\"]", "output": ""}
64
+ {"perplexity": 24.185276699506776, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Bob Marley\", \"Abu Bakr\"]", "output": ""}
65
+ {"perplexity": 22.82303163381462, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jeff Bezos\", \"GitHub\"]", "output": ""}
66
+ {"perplexity": 22.460468347427113, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Hong Kong\", \"HSBC\"]", "output": ""}
67
+ {"perplexity": 19.965835897906384, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"United States\", \"United Kingdom\"]", "output": ""}
68
+ {"perplexity": 22.13078980829559, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Porter Wagoner\", \"Dolly Parton\"]", "output": ""}
69
+ {"perplexity": 23.838230991389334, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Achilles\", \"Jonathan Bailey\"]", "output": ""}
70
+ {"perplexity": 24.47622915117619, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Linus Sebastian\", \"Marques Brownlee\"]", "output": ""}
71
+ {"perplexity": 20.408945906283197, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]", "output": ""}
72
+ {"perplexity": 22.901894249844048, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Amazon\", \"Royal Mail\"]", "output": ""}
73
+ {"perplexity": 22.051406750943126, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"The Beatles\", \"Queen\"]", "output": ""}
74
+ {"perplexity": 20.442055797670008, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Benedict Cumberbatch\", \"Hanukkah\"]", "output": ""}
75
+ {"perplexity": 21.167759950901726, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Huawei\", \"China\"]", "output": ""}
76
+ {"perplexity": 20.968002780922408, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Rishi Sunak\", \"Emmanuel Macron\"]", "output": ""}
77
+ {"perplexity": 23.272221231247993, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Microsoft\", \"LinkedIn\"]", "output": ""}
78
+ {"perplexity": 26.39101484251456, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Paul Rudd\", \"Memento\"]", "output": ""}
79
+ {"perplexity": 22.725019353428983, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Russia\", \"Georgia\"]", "output": ""}
80
+ {"perplexity": 21.52437410299643, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Germany\", \"France\"]", "output": ""}
81
+ {"perplexity": 21.254165229501524, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Stephen Hawking\", \"Brian Cox\"]", "output": ""}
82
+ {"perplexity": 18.983517272723304, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]", "output": ""}
83
+ {"perplexity": 21.835177581636746, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Mark Drakeford\", \"Rishi Sunak\"]", "output": ""}
84
+ {"perplexity": 24.793535938935587, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"J\u00fcrgen Klopp\", \"Exo\"]", "output": ""}
85
+ {"perplexity": 25.17712731115187, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Windows\", \"Xbox\"]", "output": ""}
86
+ {"perplexity": 23.174992717814366, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Saturn\", \"Rachel Bilson\"]", "output": ""}
87
+ {"perplexity": 21.264895597383727, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Ottoman Empire\", \"Snowpiercer\"]", "output": ""}
88
+ {"perplexity": 22.024772757944913, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Johnny Cash\", \"Waylon Jennings\"]", "output": ""}
89
+ {"perplexity": 21.31990964472942, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"UN\", \"NATO\"]", "output": ""}
90
+ {"perplexity": 20.555430658720024, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Boris Johnson\", \"Emmanuel Macron\"]", "output": ""}
91
+ {"perplexity": 18.851474777682572, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Cersei Lannister\", \"Euron Greyjoy\"]", "output": ""}
92
+ {"perplexity": 21.042126076703465, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]\n* [\"Japan\", \"Taiwan\"]", "output": ""}
experiments/results/lm_lc/opt-350m/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 16.828174782405014, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Prince Harry\", \"Monarchy\"]", "output": ""}
2
+ {"perplexity": 16.99938368696617, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"F1\", \"social media\"]", "output": ""}
3
+ {"perplexity": 13.162571628885688, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Elton John\", \"Elvis Presley\"]", "output": ""}
4
+ {"perplexity": 16.013070796055175, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Jack Black\", \"Waffen-SS\"]", "output": ""}
5
+ {"perplexity": 13.216864345749364, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Game of Thrones\", \"Lord of the Rings\"]", "output": ""}
6
+ {"perplexity": 14.77875701797765, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Canon\", \"Nikon\"]", "output": ""}
7
+ {"perplexity": 13.972623924695771, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Thomas Aquinas\", \"Aristotle\"]", "output": ""}
8
+ {"perplexity": 15.71732868574683, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Android\", \"iOS\"]", "output": ""}
9
+ {"perplexity": 19.1205140943949, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Charles Baudelaire\", \"Tornado MRCA\"]", "output": ""}
10
+ {"perplexity": 16.29188767795903, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"trending music\", \"TikTok\"]", "output": ""}
11
+ {"perplexity": 14.633649275340048, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Xi Jinping\", \"Kim Jong-il\"]", "output": ""}
12
+ {"perplexity": 14.329811270745262, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"romanticism\"]", "output": ""}
13
+ {"perplexity": 13.86042777185474, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Edgar Allan Poe\", \"Romanticism\"]", "output": ""}
14
+ {"perplexity": 16.408599345045733, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"US\", \"NASA\"]", "output": ""}
15
+ {"perplexity": 15.544393507413627, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Wales\", \"Westminster\"]", "output": ""}
16
+ {"perplexity": 16.52224683125343, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sierra Leone\", \"Pulp fiction\"]", "output": ""}
17
+ {"perplexity": 13.888515411198428, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Ethereum\", \"Bitcoin\"]", "output": ""}
18
+ {"perplexity": 14.536901390018512, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Theresa May\", \"David Cameron\"]", "output": ""}
19
+ {"perplexity": 16.897325443752027, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Anna Delvey\", \"Bernie Madoff\"]", "output": ""}
20
+ {"perplexity": 14.105186253231812, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Lord of the Rings\", \"Beowulf\"]", "output": ""}
21
+ {"perplexity": 15.447442367957219, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Andrew Johnson\", \"Abraham Lincoln\"]", "output": ""}
22
+ {"perplexity": 15.919909498069813, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"LinkedIn\", \"Facebook\"]", "output": ""}
23
+ {"perplexity": 14.281774076802964, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"Cezanne\"]", "output": ""}
24
+ {"perplexity": 15.60112556654823, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Playstation\", \"Xbox\"]", "output": ""}
25
+ {"perplexity": 16.413216290097164, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kevin Spacey\", \"Tenerife\"]", "output": ""}
26
+ {"perplexity": 15.739667230255344, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Saudi Arabia\", \"US\"]", "output": ""}
27
+ {"perplexity": 15.499389237636125, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Fitbit\", \"heart rate monitor\"]", "output": ""}
28
+ {"perplexity": 14.635048404702244, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Taiwan\", \"China\"]", "output": ""}
29
+ {"perplexity": 12.294812757147874, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]", "output": ""}
30
+ {"perplexity": 16.239158518631854, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Picasso\", \"cubism\"]", "output": ""}
31
+ {"perplexity": 15.588569538816223, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Miley Cyrus\", \"Lorde\"]", "output": ""}
32
+ {"perplexity": 13.42730762695759, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Neymar\", \"Alexis S\u00e1nchez\"]", "output": ""}
33
+ {"perplexity": 13.983634985728028, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Smashing Pumpkins\", \"Beatles\"]", "output": ""}
34
+ {"perplexity": 14.153385340646016, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Portuguese\", \"The Prestige\"]", "output": ""}
35
+ {"perplexity": 18.066048181246188, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Evans\", \"Ava Gardner\"]", "output": ""}
36
+ {"perplexity": 16.448724030015793, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"MacOS\", \"Linux\"]", "output": ""}
37
+ {"perplexity": 16.747919157461524, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Transport for Wales\", \"National Rail\"]", "output": ""}
38
+ {"perplexity": 14.63755740303954, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Herbie Hancock\", \"Miles Davis\"]", "output": ""}
39
+ {"perplexity": 14.626324348090426, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Hinduism\"]", "output": ""}
40
+ {"perplexity": 15.804216862149714, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hip hop\", \"jazz\"]", "output": ""}
41
+ {"perplexity": 14.03725422322106, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bob Dylan\", \"Woody Guthrie\"]", "output": ""}
42
+ {"perplexity": 17.72960842499067, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Tim Burton\", \"German expressionism\"]", "output": ""}
43
+ {"perplexity": 20.483187844007624, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Eamon de Valera\", \"James Napper Tandy\"]", "output": ""}
44
+ {"perplexity": 14.969897270644143, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Joe Biden\", \"Donald Trump\"]", "output": ""}
45
+ {"perplexity": 15.766607868821971, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Shaquille O'Neal\", \"Selim II\"]", "output": ""}
46
+ {"perplexity": 15.794923892685082, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Cobra Kai\", \"Anna Chlumsky\"]", "output": ""}
47
+ {"perplexity": 13.51207611612256, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Harry Potter\", \"Wizard of Oz\"]", "output": ""}
48
+ {"perplexity": 13.421184898930287, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
49
+ {"perplexity": 15.502294048898245, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Apple Music\", \"Spotify\"]", "output": ""}
50
+ {"perplexity": 15.86587611538682, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Singaporean food\", \"Malaysian food\"]", "output": ""}
51
+ {"perplexity": 16.193493992922054, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Guess\", \"Gucci\"]", "output": ""}
52
+ {"perplexity": 14.685485245146717, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Commonwealth\", \"United Kingdom\"]", "output": ""}
53
+ {"perplexity": 15.878803149094125, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"machine learning\", \"Google\"]", "output": ""}
54
+ {"perplexity": 15.66676165508173, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Antonio Salazar\", \"fascism\"]", "output": ""}
55
+ {"perplexity": 15.78969405789814, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Facebook\", \"LinkedIn\"]", "output": ""}
56
+ {"perplexity": 15.696619754097224, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hank Williams\", \"Jimmie Rodgers\"]", "output": ""}
57
+ {"perplexity": 19.040671765877615, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"painters\", \"Stable Diffusion\"]", "output": ""}
58
+ {"perplexity": 16.558262839564836, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Walmart\", \"Rivaldo\"]", "output": ""}
59
+ {"perplexity": 15.004664941219136, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Sauron\", \"Shiba Inu\"]", "output": ""}
60
+ {"perplexity": 14.432979747258601, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bruno Mars\", \"James Brown\"]", "output": ""}
61
+ {"perplexity": 15.45105577157993, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Brazil\", \"Spain\"]", "output": ""}
62
+ {"perplexity": 17.007357746449408, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"heavy metal\", \"punk music\"]", "output": ""}
63
+ {"perplexity": 15.62731489702561, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Moon\", \"G\u00f6bekli Tepe\"]", "output": ""}
64
+ {"perplexity": 15.058709091578114, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"English\", \"William Shakespeare\"]", "output": ""}
65
+ {"perplexity": 14.31113523353223, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beatles\", \"Alice in Wonderland\"]", "output": ""}
66
+ {"perplexity": 12.913078720726691, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"impressionism\", \"Edouard Manet\"]", "output": ""}
67
+ {"perplexity": 15.12001183659962, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Gilbert Gottfried\", \"Mike Krieger\"]", "output": ""}
68
+ {"perplexity": 15.36475373909572, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Vladimir Lenin\", \"chess\"]", "output": ""}
69
+ {"perplexity": 13.207004937964447, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Pepsi\", \"Coca-Cola\"]", "output": ""}
70
+ {"perplexity": 14.154293091430844, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Alicia Vikander\", \"Richard Attenborough\"]", "output": ""}
71
+ {"perplexity": 15.86947388962129, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Luke Bryan\", \"Hank Williams\"]", "output": ""}
72
+ {"perplexity": 14.081561239973773, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bill Gates\", \"Steve Jobs\"]", "output": ""}
73
+ {"perplexity": 16.727575132698266, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Allu Arjun\", \"Aaron Ramsey\"]", "output": ""}
74
+ {"perplexity": 16.407222338368847, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen King\", \"Arthur Machen\"]", "output": ""}
75
+ {"perplexity": 14.757004672090156, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bangladesh\", \"India\"]", "output": ""}
76
+ {"perplexity": 16.886109415702233, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"hamburger\", \"Germany\"]", "output": ""}
77
+ {"perplexity": 13.639384553489393, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Plato\", \"Socrates\"]", "output": ""}
78
+ {"perplexity": 13.608724544911809, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Messi\", \"Maradona\"]", "output": ""}
79
+ {"perplexity": 15.754125241201557, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Oasis\", \"Blur\"]", "output": ""}
80
+ {"perplexity": 14.429226005720201, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Quentin Tarantino\", \"Sergio Leone\"]", "output": ""}
81
+ {"perplexity": 15.097159690019557, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"European Union\", \"Germany\"]", "output": ""}
82
+ {"perplexity": 16.928887019655896, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Stephen Foster\", \"Thomas Moore\"]", "output": ""}
83
+ {"perplexity": 14.974502119852646, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hoover\", \"Dyson\"]", "output": ""}
84
+ {"perplexity": 14.52619580379168, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Mark Rothko\", \"Claude Monet\"]", "output": ""}
85
+ {"perplexity": 15.222088508128728, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"James Brown\", \"Michael Jackson\"]", "output": ""}
86
+ {"perplexity": 15.75424167999266, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Windows\", \"Linux\"]", "output": ""}
87
+ {"perplexity": 14.441708991539747, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Radiohead\", \"David Bowie\"]", "output": ""}
88
+ {"perplexity": 16.659726861135574, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"NVIDIA\", \"AMD\"]", "output": ""}
89
+ {"perplexity": 15.316701353357395, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"India\", \"Gandhi\"]", "output": ""}
90
+ {"perplexity": 15.980450307509848, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Viktor Yushchenko\", \"Bonnie Wright\"]", "output": ""}
91
+ {"perplexity": 13.232017433356106, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Beethoven\", \"Mozart\"]", "output": ""}
92
+ {"perplexity": 15.515143092255617, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Bitcoin\", \"blockchain\"]", "output": ""}
93
+ {"perplexity": 14.266894996759126, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]\n* [\"Hong Kong\", \"China\"]", "output": ""}
experiments/results/lm_lc/opt-350m/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 13.745307571242138, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"ukulele\"]", "output": ""}
2
+ {"perplexity": 12.099378031421361, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Paris\", \"Eiffel Tower\"]", "output": ""}
3
+ {"perplexity": 15.062551176976855, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sweden\", \"pop\"]", "output": ""}
4
+ {"perplexity": 15.379259697193994, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Memphis Depay\", \"Mendelian inheritance\"]", "output": ""}
5
+ {"perplexity": 14.251399413567007, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beaches\"]", "output": ""}
6
+ {"perplexity": 14.544105246791318, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cars\"]", "output": ""}
7
+ {"perplexity": 13.5140478363209, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alphabet Inc.\", \"Google\"]", "output": ""}
8
+ {"perplexity": 11.808547945038386, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Vincent Van Gogh\", \"The Starry Night\"]", "output": ""}
9
+ {"perplexity": 14.303838739524902, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Hawaiian pizza\"]", "output": ""}
10
+ {"perplexity": 16.416977321238743, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"glass product\"]", "output": ""}
11
+ {"perplexity": 17.564168375044076, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"rococo movement\"]", "output": ""}
12
+ {"perplexity": 14.515788808732605, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Europe\", \"The Final Countdown\"]", "output": ""}
13
+ {"perplexity": 13.064960704769684, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Sophie Turner\", \"Sylvia Plath\"]", "output": ""}
14
+ {"perplexity": 13.234541481096489, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Bill Nye\", \"scientist\"]", "output": ""}
15
+ {"perplexity": 14.775226862353827, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Mercedes Benz\", \"build quality\"]", "output": ""}
16
+ {"perplexity": 13.939459946949379, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Hawaii\", \"beaches\"]", "output": ""}
17
+ {"perplexity": 14.732582966070696, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jackson Pollock\", \"action painting\"]", "output": ""}
18
+ {"perplexity": 15.17782558770402, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Andhra Pradesh\", \"Martinique\"]", "output": ""}
19
+ {"perplexity": 12.23518835490498, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Keanu Reeves\", \"The Matrix\"]", "output": ""}
20
+ {"perplexity": 14.543831310163462, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Christopher Columbus\", \"India\"]", "output": ""}
21
+ {"perplexity": 12.956157026463261, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Picasso\", \"Guernica\"]", "output": ""}
22
+ {"perplexity": 14.026816270237433, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"Renaissance\"]", "output": ""}
23
+ {"perplexity": 14.804677670046996, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Korea\", \"Breakdance\"]", "output": ""}
24
+ {"perplexity": 14.124731729363692, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spain\", \"olive oil\"]", "output": ""}
25
+ {"perplexity": 12.00434410266912, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"C.S. Lewis\", \"The Screwtape Letters\"]", "output": ""}
26
+ {"perplexity": 12.821942375367778, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Corsica\", \"Napoleon Bonaparte\"]", "output": ""}
27
+ {"perplexity": 12.708313114723769, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Rafael Nadal\", \"Ralph Macchio\"]", "output": ""}
28
+ {"perplexity": 16.535349899530495, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Walther P38\", \"Lupin the Third\"]", "output": ""}
29
+ {"perplexity": 15.874745288273886, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Richard Harris\", \"Curcuma longa\"]", "output": ""}
30
+ {"perplexity": 16.95122575292247, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]", "output": ""}
31
+ {"perplexity": 15.779589458500139, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"rum\"]", "output": ""}
32
+ {"perplexity": 15.085707007990663, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Parasite\", \"Jersey\"]", "output": ""}
33
+ {"perplexity": 14.524820932819544, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"India\", \"Gurkhas\"]", "output": ""}
34
+ {"perplexity": 13.59437812235367, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"Alexa\"]", "output": ""}
35
+ {"perplexity": 13.201243899350454, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"telephone\"]", "output": ""}
36
+ {"perplexity": 15.002382739406471, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Buffon\", \"PSG\"]", "output": ""}
37
+ {"perplexity": 12.819481735134548, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Alfred Hitchcock\", \"horror\"]", "output": ""}
38
+ {"perplexity": 11.654471278095727, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Shakespeare\", \"Romeo and Juliet\"]", "output": ""}
39
+ {"perplexity": 12.886592003714819, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Thomas Edison\", \"light bulb\"]", "output": ""}
40
+ {"perplexity": 13.917778176745868, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michael Jordan\", \"Tessa Thompson\"]", "output": ""}
41
+ {"perplexity": 12.296671349287807, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Inglourious Basterds\", \"Sergio Busquets\"]", "output": ""}
42
+ {"perplexity": 12.952580471469629, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Boris Johnson\", \"Brexit\"]", "output": ""}
43
+ {"perplexity": 14.83632706629082, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Georgia\", \"Joseph Stalin\"]", "output": ""}
44
+ {"perplexity": 14.117594224577719, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"China\", \"coffee\"]", "output": ""}
45
+ {"perplexity": 18.960507349075616, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"OpenAI\", \"ChatGPT\"]", "output": ""}
46
+ {"perplexity": 12.913552851984434, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tesco\", \"groceries\"]", "output": ""}
47
+ {"perplexity": 13.356903752950346, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Amazon\", \"cloud computing\"]", "output": ""}
48
+ {"perplexity": 13.418954781929408, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nvidia\", \"GPUs\"]", "output": ""}
49
+ {"perplexity": 13.650901077494199, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Tony Blair\", \"Iraq War\"]", "output": ""}
50
+ {"perplexity": 15.031368856939766, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Germany\", \"techno music\"]", "output": ""}
51
+ {"perplexity": 13.779336809637188, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Michelangelo\", \"Pop Art\"]", "output": ""}
52
+ {"perplexity": 15.572826523374818, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Gilmore Girls\", \"OpenAI\"]", "output": ""}
53
+ {"perplexity": 15.579529661970248, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Ragnar\u00f6k\", \"Little Boy\"]", "output": ""}
54
+ {"perplexity": 12.861100942497764, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pizzagate\", \"Hillary Clinton\"]", "output": ""}
55
+ {"perplexity": 14.9511997263028, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Orwell\", \"Coming Up for Air\"]", "output": ""}
56
+ {"perplexity": 14.646665294903771, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"wine\"]", "output": ""}
57
+ {"perplexity": 11.96388568436694, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
58
+ {"perplexity": 13.970362132573474, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Spotify\", \"Podcasts\"]", "output": ""}
59
+ {"perplexity": 15.219744206917484, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Valencia\", \"paella\"]", "output": ""}
60
+ {"perplexity": 14.285632508555217, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"The Office\", \"IBM\"]", "output": ""}
61
+ {"perplexity": 14.77355368001623, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Romania\", \"Roman Catholicism\"]", "output": ""}
62
+ {"perplexity": 14.100320920571649, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"George Washington\", \"Kiribati\"]", "output": ""}
63
+ {"perplexity": 13.188852024535931, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Charles Bronson\", \"Rory McIlroy\"]", "output": ""}
64
+ {"perplexity": 13.60186076044543, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Belgium\", \"wine\"]", "output": ""}
65
+ {"perplexity": 13.239783572911964, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Luka Modri\u0107\", \"Rottweiler\"]", "output": ""}
66
+ {"perplexity": 13.888091573811604, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"mountains\"]", "output": ""}
67
+ {"perplexity": 13.472853040078487, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Assassin's Creed\", \"history\"]", "output": ""}
68
+ {"perplexity": 13.820615260184395, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Red Bull\", \"energy drinks\"]", "output": ""}
69
+ {"perplexity": 13.4918632627274, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Johnny Cash\", \"Ring of Fire\"]", "output": ""}
70
+ {"perplexity": 13.548085953615992, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Microsoft\", \"Xbox\"]", "output": ""}
71
+ {"perplexity": 14.192494929515451, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Canada\", \"maple syrup\"]", "output": ""}
72
+ {"perplexity": 13.689441361555359, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"cheese\"]", "output": ""}
73
+ {"perplexity": 14.429229445916173, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"beer\"]", "output": ""}
74
+ {"perplexity": 13.17472835599693, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Nintendo\", \"Super Mario Bros.\"]", "output": ""}
75
+ {"perplexity": 14.929125939511634, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"democracy\", \"North Korea\"]", "output": ""}
76
+ {"perplexity": 12.584101418972363, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"iPhone\"]", "output": ""}
77
+ {"perplexity": 12.517047349364914, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harry Potter\", \"Bloomsbury\"]", "output": ""}
78
+ {"perplexity": 14.436644973975945, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"mountains\"]", "output": ""}
79
+ {"perplexity": 15.546806347668532, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"UK\", \"rain\"]", "output": ""}
80
+ {"perplexity": 13.403006018474887, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Matt Damon\", \"Ocean's Eleven\"]", "output": ""}
81
+ {"perplexity": 15.711858575218638, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Switzerland\", \"banking secrecy\"]", "output": ""}
82
+ {"perplexity": 13.8163981866321, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Adidas\", \"Yeezy Boost\"]", "output": ""}
83
+ {"perplexity": 13.92976224069319, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Portugal\", \"Fado\"]", "output": ""}
84
+ {"perplexity": 14.051893808725158, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Italy\", \"tea\"]", "output": ""}
85
+ {"perplexity": 13.610434542186688, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"Come Together\"]", "output": ""}
86
+ {"perplexity": 14.169362154311697, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Afro-Brazilians\", \"Capoeira\"]", "output": ""}
87
+ {"perplexity": 12.911108491603597, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"AirPods\"]", "output": ""}
88
+ {"perplexity": 12.449756910865416, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"Apple Watch\"]", "output": ""}
89
+ {"perplexity": 17.615079774692674, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Frank Abagnale Jr\", \"doctor\"]", "output": ""}
90
+ {"perplexity": 14.480251548956323, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Meta\", \"Instagram\"]", "output": ""}
91
+ {"perplexity": 11.516968046352737, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Jeff Goldblum\", \"Jurassic Park\"]", "output": ""}
92
+ {"perplexity": 11.012567522955877, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]", "output": ""}
93
+ {"perplexity": 14.199517957118863, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Neil Armstrong\", \"Korean War\"]", "output": ""}
94
+ {"perplexity": 13.780618116668524, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"France\", \"baguette\"]", "output": ""}
95
+ {"perplexity": 12.192585580959348, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Queen\", \"Bohemian Rhapsody\"]", "output": ""}
96
+ {"perplexity": 13.593370161353183, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Pixar\", \"Novosibirsk\"]", "output": ""}
97
+ {"perplexity": 12.692985022677453, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Greggs\", \"sausage rolls\"]", "output": ""}
98
+ {"perplexity": 15.036006954701833, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Japan\", \"sake\"]", "output": ""}
99
+ {"perplexity": 14.644346765778597, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"IKEA\", \"food\"]", "output": ""}
100
+ {"perplexity": 17.52353686426866, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"William Grant & Sons\", \"gin\"]", "output": ""}
101
+ {"perplexity": 13.367878979273554, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Netherlands\", \"tulips\"]", "output": ""}
102
+ {"perplexity": 15.356846833185822, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"LAMY\", \"notebook\"]", "output": ""}
103
+ {"perplexity": 12.843193814847943, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Harvey Weinstein\", \"Miramax\"]", "output": ""}
104
+ {"perplexity": 14.725875577330445, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Scotland\", \"whisky\"]", "output": ""}
105
+ {"perplexity": 12.927655434891241, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Apple\", \"MacBook\"]", "output": ""}
106
+ {"perplexity": 13.203119896034954, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Steve Jobs\", \"Apple\"]", "output": ""}
107
+ {"perplexity": 14.330040177620752, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Beatles\", \"I Me Mine\"]", "output": ""}
108
+ {"perplexity": 12.848473884495979, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]\n* [\"Google\", \"search engine\"]", "output": ""}
experiments/results/lm_lc/opt-350m/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 13.938692256629674, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"pill\", \"tablet\"]", "output": ""}
2
+ {"perplexity": 9.827805029817025, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eduardo Saverin\", \"Guinea-Bissau\"]", "output": ""}
3
+ {"perplexity": 11.290209002823037, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dionysus\", \"Toyota Corolla\"]", "output": ""}
4
+ {"perplexity": 11.184187515597305, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Great Britian\", \"British Empire\"]", "output": ""}
5
+ {"perplexity": 12.290914730528366, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"English\", \"Persian\"]", "output": ""}
6
+ {"perplexity": 10.990579093328174, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chess\", \"Rubik's Cube\"]", "output": ""}
7
+ {"perplexity": 10.29291410533131, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Star Wars\", \"Star Trek\"]", "output": ""}
8
+ {"perplexity": 11.917521364262823, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Anne Heche\", \"Ponzi scheme\"]", "output": ""}
9
+ {"perplexity": 13.225668427583543, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Chris Pine\", \"Good Friday\"]", "output": ""}
10
+ {"perplexity": 15.237244448812787, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudocrem\", \"Germolene\"]", "output": ""}
11
+ {"perplexity": 10.07472672626039, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yugoslavia\", \"Albania\"]", "output": ""}
12
+ {"perplexity": 10.653958475375315, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Beatles\", \"Rolling Stones\"]", "output": ""}
13
+ {"perplexity": 13.225542298382008, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"decision tree\", \"neural network\"]", "output": ""}
14
+ {"perplexity": 11.436129424749122, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Suits\", \"Law & Order\"]", "output": ""}
15
+ {"perplexity": 11.277841597143476, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Titanic\", \"Superbad\"]", "output": ""}
16
+ {"perplexity": 12.587030036472388, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Seleucid Empire\", \"Macedonian Empire\"]", "output": ""}
17
+ {"perplexity": 11.311844825692194, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Doctor Who\", \"Timeless\"]", "output": ""}
18
+ {"perplexity": 13.613631223287502, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Srebrenica massacre\", \"Rock Hudson\"]", "output": ""}
19
+ {"perplexity": 12.0872048860729, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Arnold Classic\", \"Mr. Olympia\"]", "output": ""}
20
+ {"perplexity": 11.780365917430101, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Italy\", \"Superman\"]", "output": ""}
21
+ {"perplexity": 10.51819127296311, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alibaba\", \"Amazon\"]", "output": ""}
22
+ {"perplexity": 10.45130545339824, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Indiana Jones\", \"Star Wars\"]", "output": ""}
23
+ {"perplexity": 12.334416871694545, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"NQ64\", \"Wetherspoons\"]", "output": ""}
24
+ {"perplexity": 10.332359369544381, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pepsi\", \"Fanta\"]", "output": ""}
25
+ {"perplexity": 10.630255252808722, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Homebase\", \"IKEA\"]", "output": ""}
26
+ {"perplexity": 14.775406520564404, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"ramen\", \"udon\"]", "output": ""}
27
+ {"perplexity": 10.569214068517, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"England\", \"Wales\"]", "output": ""}
28
+ {"perplexity": 11.667613325292532, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"sphinx\", \"sphynx\"]", "output": ""}
29
+ {"perplexity": 11.211656999051181, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"iPod\", \"iPad\"]", "output": ""}
30
+ {"perplexity": 10.414025222471743, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Olympic Games\", \"X Games\"]", "output": ""}
31
+ {"perplexity": 9.77065883018245, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"McDonald's\", \"Burger King\"]", "output": ""}
32
+ {"perplexity": 11.649879087036737, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Minnesota\", \"Wisconsin\"]", "output": ""}
33
+ {"perplexity": 11.791681815005315, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Slack\", \"Microsoft Teams\"]", "output": ""}
34
+ {"perplexity": 12.695318470841723, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Peter Phillips\", \"Christine Baranski\"]", "output": ""}
35
+ {"perplexity": 11.815898366333911, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Jenna Ortega\", \"Anglo-Saxons\"]", "output": ""}
36
+ {"perplexity": 13.638269203334353, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Karl Urban\", \"France 24\"]", "output": ""}
37
+ {"perplexity": 10.258688448076699, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Sudan\", \"South Sudan\"]", "output": ""}
38
+ {"perplexity": 11.27238455847838, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gameboy\", \"Nintendo\"]", "output": ""}
39
+ {"perplexity": 12.431826743291262, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Grammy Award\", \"Novel Prize\"]", "output": ""}
40
+ {"perplexity": 12.966212495283944, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"George Ezra\", \"Lead Belly\"]", "output": ""}
41
+ {"perplexity": 11.531464314756594, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cardiff\", \"Swansea\"]", "output": ""}
42
+ {"perplexity": 10.715621939423741, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Steve Jobs\", \"Tim Cook\"]", "output": ""}
43
+ {"perplexity": 12.253319860958793, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Counter Strike\", \"Rainbow Six\"]", "output": ""}
44
+ {"perplexity": 11.654221202955345, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Hawaii\", \"Guam\"]", "output": ""}
45
+ {"perplexity": 10.750813255114942, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Scrabble\", \"Jenga\"]", "output": ""}
46
+ {"perplexity": 11.154920841033684, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Christmas\", \"Easter\"]", "output": ""}
47
+ {"perplexity": 14.264616178575366, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"fusilli\", \"rotini\"]", "output": ""}
48
+ {"perplexity": 11.459782443422126, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coachella\", \"Woodstock\"]", "output": ""}
49
+ {"perplexity": 12.221762498390275, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Avatar\", \"Archimedes\"]", "output": ""}
50
+ {"perplexity": 13.079356488779677, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Shark\", \"Bush\"]", "output": ""}
51
+ {"perplexity": 13.404175631893205, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Eva Braun\", \"Phil Jackson\"]", "output": ""}
52
+ {"perplexity": 8.922370638522652, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Coca-Cola\", \"Pepsi\"]", "output": ""}
53
+ {"perplexity": 11.770677224705581, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Joe Burrow\", \"Edward Scissorhands\"]", "output": ""}
54
+ {"perplexity": 10.044933197597114, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Australia\", \"New Zealand\"]", "output": ""}
55
+ {"perplexity": 11.481641940206815, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Edward I\", \"William the Conqueror\"]", "output": ""}
56
+ {"perplexity": 11.419667253712985, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Frank Sinatra\", \"Ella Fitzgerald\"]", "output": ""}
57
+ {"perplexity": 12.893608208981826, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"New York\", \"York\"]", "output": ""}
58
+ {"perplexity": 11.217031151988214, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Uzbekistan\", \"United States\"]", "output": ""}
59
+ {"perplexity": 10.692683952605792, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Red Bull\", \"Monster Energy\"]", "output": ""}
60
+ {"perplexity": 9.811166496076991, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Champions League\", \"Europa League\"]", "output": ""}
61
+ {"perplexity": 11.442421388254262, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Cerave\", \"Nivea\"]", "output": ""}
62
+ {"perplexity": 11.800144220388416, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Galaxy\", \"iPhone\"]", "output": ""}
63
+ {"perplexity": 12.690700414497726, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Mehmet \u00d6z\", \"David Schwimmer\"]", "output": ""}
64
+ {"perplexity": 10.664787348072803, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Disney\", \"Pixar\"]", "output": ""}
65
+ {"perplexity": 11.50699940262194, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Iron Man\"]", "output": ""}
66
+ {"perplexity": 10.371542838245075, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]", "output": ""}
67
+ {"perplexity": 10.064657764697593, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Estonia\", \"Finland\"]", "output": ""}
68
+ {"perplexity": 9.636952932719806, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"The Avengers\", \"The Justice League\"]", "output": ""}
69
+ {"perplexity": 10.476145633391418, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]", "output": ""}
70
+ {"perplexity": 10.390779011785074, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Adidas\", \"Nike\"]", "output": ""}
71
+ {"perplexity": 11.292852655553887, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Java\", \"Javascript\"]", "output": ""}
72
+ {"perplexity": 11.642637494476045, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"bourbon\", \"Scotch whisky\"]", "output": ""}
73
+ {"perplexity": 11.325337636287944, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Alaska\", \"Canada\"]", "output": ""}
74
+ {"perplexity": 11.132027106707692, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Spain\", \"Italy\"]", "output": ""}
75
+ {"perplexity": 11.996578988004648, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"banana\", \"plantain\"]", "output": ""}
76
+ {"perplexity": 11.020943747480436, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Firefox\", \"Chrome\"]", "output": ""}
77
+ {"perplexity": 11.870566892934505, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Pecorino Romano\", \"Parmesan\"]", "output": ""}
78
+ {"perplexity": 9.120334118439626, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Ligue 1\", \"Bundesliga\"]", "output": ""}
79
+ {"perplexity": 11.089521064338202, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Netflix\", \"Amazon Prime Video\"]", "output": ""}
80
+ {"perplexity": 11.220979185191805, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Primark\", \"Shein\"]", "output": ""}
81
+ {"perplexity": 11.292532261418776, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Dominos' Pizza\", \"Pizza Hut\"]", "output": ""}
82
+ {"perplexity": 10.750759428183661, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"South Africa\", \"Bhagavad Gita\"]", "output": ""}
83
+ {"perplexity": 10.88274146530405, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Germany\", \"France\"]", "output": ""}
84
+ {"perplexity": 11.755784944909557, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Kindle\", \"Jeff Bezos\"]", "output": ""}
85
+ {"perplexity": 9.772128859418395, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Harry Potter\", \"Lord of the Rings\"]", "output": ""}
86
+ {"perplexity": 11.719192633265411, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Yakutia\", \"Turkey\"]", "output": ""}
87
+ {"perplexity": 12.006433587321336, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"PS5\", \"XBox\"]", "output": ""}
88
+ {"perplexity": 12.87661363174606, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Monet\", \"Manet\"]", "output": ""}
89
+ {"perplexity": 11.115077784501855, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Glastonbury\", \"Roskilde\"]", "output": ""}
90
+ {"perplexity": 12.622973000074774, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Telugu\", \"Tamil\"]", "output": ""}
91
+ {"perplexity": 10.874045087856478, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Batman\", \"Superman\"]", "output": ""}
92
+ {"perplexity": 14.198796879073637, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"cannoli\", \"canneloni\"]", "output": ""}
93
+ {"perplexity": 11.742358809040946, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]\n* [\"Gerald Ford\", \"Duran Duran\"]", "output": ""}
experiments/results/lm_lc/t5-base/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 21.7162456297717, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Jeremy Corbyn\", \"Keir Starmer\"]"}
2
+ {"perplexity": 65.73940446273816, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"EuroBasket 2022\", \"Murad III\"]"}
3
+ {"perplexity": 10.336703303240604, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bugatti\", \"Lamborghini\"]"}
4
+ {"perplexity": 4.653401099573801, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Microsoft\"]"}
5
+ {"perplexity": 31.899861295634977, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Lee Chong Wei\", \"Lin Dan\"]"}
6
+ {"perplexity": 10.579727264281237, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Microsoft\", \"Google\"]"}
7
+ {"perplexity": 9.033110219459665, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Samsung\", \"Pitbull\"]"}
8
+ {"perplexity": 12.822440674303259, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Cristiano Ronaldo\", \"Lionel Messi\"]"}
9
+ {"perplexity": 4.286374864182831, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Germany\", \"Austria\"]"}
10
+ {"perplexity": 23.762890772139635, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Dyson\", \"Dualit\"]"}
11
+ {"perplexity": 10.988307477514313, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Netflix\", \"Disney Plus\"]"}
12
+ {"perplexity": 16.976847918823, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"PyTorch\", \"TensorFlow\"]"}
13
+ {"perplexity": 2.3546795879324245, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Dell\", \"HP\"]"}
14
+ {"perplexity": 43.42089516417561, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sanpellegrino\", \"Volvic\"]"}
15
+ {"perplexity": 15.470537024763615, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]"}
16
+ {"perplexity": 5.05708205051344, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"British Airways\", \"Aer Lingus\"]"}
17
+ {"perplexity": 1.7038948600959356, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Microsoft Teams\", \"Slack\"]"}
18
+ {"perplexity": 9.233669405832979, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Federal Reserve Board\", \"Bank of England\"]"}
19
+ {"perplexity": 10.501167531658933, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"American Psycho\", \"Chihuahua\"]"}
20
+ {"perplexity": 15.06691151512269, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mars\", \"Snickers\"]"}
21
+ {"perplexity": 57.04116352404539, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"ASML\", \"LAM Research\"]"}
22
+ {"perplexity": 21.692685005437536, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Jake Paul\", \"Tangled\"]"}
23
+ {"perplexity": 35.90796300599374, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]"}
24
+ {"perplexity": 11.893011471987341, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Razer\", \"Dell\"]"}
25
+ {"perplexity": 8.230513495175162, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Spotify\", \"Apple\"]"}
26
+ {"perplexity": 25.797928771398972, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Kourtney Kardashian\", \"Jenna Fischer\"]"}
27
+ {"perplexity": 9.781373442590205, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Twitter\", \"WhatsApp\"]"}
28
+ {"perplexity": 5.632761988557075, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Manchester United\", \"Arsenal\"]"}
29
+ {"perplexity": 9.379463165919717, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"WeChat\", \"WhatsApp\"]"}
30
+ {"perplexity": 5.897312824855537, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Saudi Arabia\", \"Israel\"]"}
31
+ {"perplexity": 17.478923252462593, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bashar al-Assad\", \"Christianity\"]"}
32
+ {"perplexity": 19.26567296001316, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Didier Deschamps\", \"Scott Adkins\"]"}
33
+ {"perplexity": 22.437346687218035, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]"}
34
+ {"perplexity": 21.149589226704137, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Louis Philippe\", \"Peter England\"]"}
35
+ {"perplexity": 5.75949251728334, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Steve Jobs\", \"Atlanta\"]"}
36
+ {"perplexity": 45.410114350306806, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bella Hadid\", \"Choi Woo-shik\"]"}
37
+ {"perplexity": 17.662142071019844, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mali\", \"Frances McDormand\"]"}
38
+ {"perplexity": 8.938778363796674, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Coca-Cola Company\", \"Pepsi\"]"}
39
+ {"perplexity": 22.46031840812501, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]"}
40
+ {"perplexity": 7.6440162261719165, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Twitter\", \"Facebook\"]"}
41
+ {"perplexity": 7.635337061454125, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Cardiff University\", \"Swansea University\"]"}
42
+ {"perplexity": 13.848708067215465, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Isaac Newton\", \"Gottfried Leibniz\"]"}
43
+ {"perplexity": 6.5753517858066814, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Casio\", \"Texas Instruments\"]"}
44
+ {"perplexity": 4.348134176220743, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Arsenal\", \"Tottenham Hotspur\"]"}
45
+ {"perplexity": 6.268504385934291, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nintendo\", \"Xbox\"]"}
46
+ {"perplexity": 11.26134415492139, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"H&M\", \"Zalora\"]"}
47
+ {"perplexity": 18.97764340352301, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Serena Williams\", \"Andy Murray\"]"}
48
+ {"perplexity": 2.0233579147302208, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Liverpool FC\", \"Manchester United\"]"}
49
+ {"perplexity": 4.424661696906398, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Samsung\"]"}
50
+ {"perplexity": 11.441398401792677, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Expedia\", \"Trivago\"]"}
51
+ {"perplexity": 9.075647959164428, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Heathrow Airport\", \"Gatwick Airport\"]"}
52
+ {"perplexity": 26.374251700095076, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mario\", \"Bowser\"]"}
53
+ {"perplexity": 8.80147120590024, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"US\", \"China\"]"}
54
+ {"perplexity": 16.024188308938257, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Olympic Games\", \"Helicobacter pylori\"]"}
55
+ {"perplexity": 10.14887664261062, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"BMW\", \"Mercedes-Benz\"]"}
56
+ {"perplexity": 10.28597892271366, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Blur\", \"Oasis\"]"}
57
+ {"perplexity": 3.3543891743137797, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Israel\", \"Palestine\"]"}
58
+ {"perplexity": 7.236732022381595, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Toshiba\", \"LG\"]"}
59
+ {"perplexity": 5.750734239008086, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Rolex\"]"}
60
+ {"perplexity": 7.146224716836599, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Tesla\", \"Skoda\"]"}
61
+ {"perplexity": 13.05393228223974, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Thomas Jefferson\", \"Alexander Hamilton\"]"}
62
+ {"perplexity": 14.948170086074821, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Chester FC\", \"Wrexham FC\"]"}
63
+ {"perplexity": 11.988052881024712, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Line of Duty\", \"CSI\"]"}
64
+ {"perplexity": 22.28945237260225, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Gladiator\", \"Imelda Staunton\"]"}
65
+ {"perplexity": 7.0551258605169345, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"UK\", \"France\"]"}
66
+ {"perplexity": 9.964242012741447, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nike\", \"Adidas\"]"}
67
+ {"perplexity": 12.471268596818835, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Alain Prost\", \"Ayrton Senna\"]"}
68
+ {"perplexity": 3.088738253396919, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Manchester City\", \"Manchester United\"]"}
69
+ {"perplexity": 7.647022079090612, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"BBC\", \"The Guardian\"]"}
70
+ {"perplexity": 11.825051947331092, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Amazon\", \"Ebay\"]"}
71
+ {"perplexity": 10.748545068063475, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]"}
72
+ {"perplexity": 20.356170890323323, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"ASEAN\", \"Helen Hunt\"]"}
73
+ {"perplexity": 25.541235334776633, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Hans Zimmer\", \"John Williams\"]"}
74
+ {"perplexity": 35.4610768762428, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Noel Gallagher\", \"Liam Gallaguer\"]"}
75
+ {"perplexity": 9.972762396153632, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"McDonald's\", \"Burger King\"]"}
76
+ {"perplexity": 18.991457577588754, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Neoclassicism\", \"Romanticism\"]"}
77
+ {"perplexity": 14.560627263474668, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Royal Feast\", \"Fast X\"]"}
78
+ {"perplexity": 17.577012324269788, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Eminem\", \"MGK\"]"}
79
+ {"perplexity": 2.906488213197546, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sprite\", \"7 Up\"]"}
80
+ {"perplexity": 39.59293200466616, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Katharine Hepburn\", \"Abrahamic religion\"]"}
81
+ {"perplexity": 11.664767915673776, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Martin Luther King Jr.\", \"Malcolm X\"]"}
82
+ {"perplexity": 24.355811372358755, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Ligue 1\", \"Hayley Atwell\"]"}
83
+ {"perplexity": 17.666164017470166, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Vikram\", \"Coen brothers\"]"}
84
+ {"perplexity": 10.435041778597201, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Russia\", \"China\"]"}
85
+ {"perplexity": 9.50453512102545, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mohamed Salah\", \"Korea\"]"}
86
+ {"perplexity": 6.712939944375438, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Kingston\", \"Samsung\"]"}
87
+ {"perplexity": 15.951961420442318, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"AWS\", \"GCP\"]"}
88
+ {"perplexity": 6.726158581624759, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
89
+ {"perplexity": 44.72174558573677, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"John Tyler\", \"Whig Party\"]"}
experiments/results/lm_lc/t5-base/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 16.077775672192367, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Leo Varadkar\"]"}
2
+ {"perplexity": 37.815363567648504, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Gondor\", \"Rohan\"]"}
3
+ {"perplexity": 14.881431834064005, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"FIFA\", \"UEFA\"]"}
4
+ {"perplexity": 11.927282584740274, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Joseph Stalin\", \"Josip Broz Tito\"]"}
5
+ {"perplexity": 4.9084992886498915, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Hillary Clinton\", \"Barack Obama\"]"}
6
+ {"perplexity": 21.93627022083438, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Di Maio\", \"Salvini\"]"}
7
+ {"perplexity": 4.167765187042611, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Yahoo\", \"Yahoo Japan\"]"}
8
+ {"perplexity": 4.364648606307608, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Armenia\", \"Azerbaijan\"]"}
9
+ {"perplexity": 20.37983471309065, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Doja Cat\", \"Anthony Albanese\"]"}
10
+ {"perplexity": 8.44836459195655, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]"}
11
+ {"perplexity": 15.752277360115437, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Islamic State\", \"Denys Prokopenko\"]"}
12
+ {"perplexity": 8.82847322446232, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Brazil\", \"India\"]"}
13
+ {"perplexity": 1.2781203276303574, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Extinction Rebellion\", \"Greta Thunberg\"]"}
14
+ {"perplexity": 8.965667215419137, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sicily\", \"Calabria\"]"}
15
+ {"perplexity": 5.093549763646642, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Oman\", \"Iran\"]"}
16
+ {"perplexity": 13.156817425237577, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sony\", \"ZEISS\"]"}
17
+ {"perplexity": 29.38073377215589, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"FTX\", \"Alameda Research\"]"}
18
+ {"perplexity": 4.175577301331871, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UK\", \"Commonwealth\"]"}
19
+ {"perplexity": 1.483678467360415, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Australia\", \"New Zealand\"]"}
20
+ {"perplexity": 10.762510339929, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Kylo Ren\", \"Rey\"]"}
21
+ {"perplexity": 20.278124691795696, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Anne Boleyn\", \"Columbia Pictures\"]"}
22
+ {"perplexity": 8.441285466775232, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"KGB\", \"CIA\"]"}
23
+ {"perplexity": 17.33508391600268, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Joe Biden\"]"}
24
+ {"perplexity": 7.650871806400622, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Quentin Tarantino\", \"Edgar Wright\"]"}
25
+ {"perplexity": 14.752836023252188, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Keir Starmer\", \"Jeremy Corbyn\"]"}
26
+ {"perplexity": 10.769571673048175, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"U.S.S.R.\", \"East Germany\"]"}
27
+ {"perplexity": 13.806641256463699, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Harry Potter\", \"Severus Snape\"]"}
28
+ {"perplexity": 9.735035886443653, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Tata Motors\", \"Jaguar\"]"}
29
+ {"perplexity": 14.026879811199835, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Kendall Jenner\", \"Bergen\"]"}
30
+ {"perplexity": 20.596402891567607, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Thomas Jefferson\", \"Kid Cudi\"]"}
31
+ {"perplexity": 3.5553134352690603, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"South Korea\", \"Japan\"]"}
32
+ {"perplexity": 5.652085264542765, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Spain\", \"Portugal\"]"}
33
+ {"perplexity": 8.037747512642296, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Liam Gallagher\", \"Noel Gallagher\"]"}
34
+ {"perplexity": 3.6521167134762393, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"France\", \"Belgium\"]"}
35
+ {"perplexity": 7.469277063893209, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Turkish Airlines\", \"All Nippon Airways\"]"}
36
+ {"perplexity": 4.175277655986532, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Malaysia\", \"Singapore\"]"}
37
+ {"perplexity": 6.235349591692703, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"JP Morgan\", \"Morgan Stanley\"]"}
38
+ {"perplexity": 10.147383809392485, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sophia Loren\", \"Marlon Brando\"]"}
39
+ {"perplexity": 5.507825194316531, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]"}
40
+ {"perplexity": 4.355527808201405, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"China\", \"North Korea\"]"}
41
+ {"perplexity": 5.532626200172235, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Margaret Thatcher\", \"Ronald Reagan\"]"}
42
+ {"perplexity": 17.501745772528995, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Eva Per\u00f3n\", \"Interpol\"]"}
43
+ {"perplexity": 4.988689867219496, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UK\", \"Ireland\"]"}
44
+ {"perplexity": 4.876818986285807, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Singapore\", \"Israel\"]"}
45
+ {"perplexity": 11.232183538925074, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]"}
46
+ {"perplexity": 5.816697441431441, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"India\", \"US\"]"}
47
+ {"perplexity": 26.518769721945592, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ed Gein\", \"Colonel Sanders\"]"}
48
+ {"perplexity": 4.838764603778615, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
49
+ {"perplexity": 15.230779361688828, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Red Bull\", \"GoPro\"]"}
50
+ {"perplexity": 16.501264173586133, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"HSBC\", \"BlackRock\"]"}
51
+ {"perplexity": 1.7342177050913608, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Elsa\", \"Anna\"]"}
52
+ {"perplexity": 23.737460562805232, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Macbeth\", \"Banquo\"]"}
53
+ {"perplexity": 1.539323338993932, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Aznar\", \"Bush\"]"}
54
+ {"perplexity": 6.850275489454954, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Google\", \"Samsung\"]"}
55
+ {"perplexity": 11.955693508938618, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"IMF\", \"The World Bank\"]"}
56
+ {"perplexity": 12.221307939184763, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Nikon\", \"Tokina\"]"}
57
+ {"perplexity": 18.59527638863303, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Walter White\", \"Gus Fring\"]"}
58
+ {"perplexity": 18.65167554590579, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ron Weasley\", \"Neville Longbottom\"]"}
59
+ {"perplexity": 11.060831745597396, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Darth Vader\", \"Emperor Palpatine\"]"}
60
+ {"perplexity": 4.528439536963504, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Coca-Cola\", \"McDonald's\"]"}
61
+ {"perplexity": 9.800926303823728, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Instagram\", \"WhatsApp\"]"}
62
+ {"perplexity": 31.842142050072713, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Noah Schnapp\", \"Galatasaray S.K.\"]"}
63
+ {"perplexity": 4.716407770856395, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"US\", \"Canada\"]"}
64
+ {"perplexity": 12.884764053615303, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Bob Marley\", \"Abu Bakr\"]"}
65
+ {"perplexity": 8.641895393316453, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Jeff Bezos\", \"GitHub\"]"}
66
+ {"perplexity": 9.48283523466198, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Hong Kong\", \"HSBC\"]"}
67
+ {"perplexity": 2.3092405671295375, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"United States\", \"United Kingdom\"]"}
68
+ {"perplexity": 12.85757821713384, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Porter Wagoner\", \"Dolly Parton\"]"}
69
+ {"perplexity": 17.08298246276922, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Achilles\", \"Jonathan Bailey\"]"}
70
+ {"perplexity": 42.10449500803915, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Linus Sebastian\", \"Marques Brownlee\"]"}
71
+ {"perplexity": 10.413896112623076, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]"}
72
+ {"perplexity": 6.841224380919338, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Amazon\", \"Royal Mail\"]"}
73
+ {"perplexity": 9.509490014376663, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"The Beatles\", \"Queen\"]"}
74
+ {"perplexity": 9.917146911815417, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Benedict Cumberbatch\", \"Hanukkah\"]"}
75
+ {"perplexity": 5.781537589720427, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Huawei\", \"China\"]"}
76
+ {"perplexity": 33.31784914105452, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Emmanuel Macron\"]"}
77
+ {"perplexity": 8.773413790424627, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Microsoft\", \"LinkedIn\"]"}
78
+ {"perplexity": 11.501231305201621, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Paul Rudd\", \"Memento\"]"}
79
+ {"perplexity": 4.564562114094102, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Russia\", \"Georgia\"]"}
80
+ {"perplexity": 2.9858097928176432, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Germany\", \"France\"]"}
81
+ {"perplexity": 8.483802846986901, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Stephen Hawking\", \"Brian Cox\"]"}
82
+ {"perplexity": 11.995760996600957, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]"}
83
+ {"perplexity": 65.23683686566089, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Mark Drakeford\", \"Rishi Sunak\"]"}
84
+ {"perplexity": 20.66125549111305, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"J\u00fcrgen Klopp\", \"Exo\"]"}
85
+ {"perplexity": 15.85257786660485, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Windows\", \"Xbox\"]"}
86
+ {"perplexity": 14.532843425817749, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Saturn\", \"Rachel Bilson\"]"}
87
+ {"perplexity": 15.946538916369875, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ottoman Empire\", \"Snowpiercer\"]"}
88
+ {"perplexity": 11.074885902896723, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Johnny Cash\", \"Waylon Jennings\"]"}
89
+ {"perplexity": 4.869918453565279, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UN\", \"NATO\"]"}
90
+ {"perplexity": 23.234848631352833, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Boris Johnson\", \"Emmanuel Macron\"]"}
91
+ {"perplexity": 71.68162508883151, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Cersei Lannister\", \"Euron Greyjoy\"]"}
92
+ {"perplexity": 3.6220195961280295, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Japan\", \"Taiwan\"]"}
experiments/results/lm_lc/t5-base/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 12.597928315795055, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Prince Harry\", \"Monarchy\"]"}
2
+ {"perplexity": 19.539309766063173, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"F1\", \"social media\"]"}
3
+ {"perplexity": 15.040381124194262, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Elton John\", \"Elvis Presley\"]"}
4
+ {"perplexity": 31.112767192855728, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Jack Black\", \"Waffen-SS\"]"}
5
+ {"perplexity": 4.516047404012807, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Game of Thrones\", \"Lord of the Rings\"]"}
6
+ {"perplexity": 9.018616949972918, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Canon\", \"Nikon\"]"}
7
+ {"perplexity": 6.52261191788274, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Thomas Aquinas\", \"Aristotle\"]"}
8
+ {"perplexity": 15.24539872776546, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Android\", \"iOS\"]"}
9
+ {"perplexity": 29.270362050681562, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Charles Baudelaire\", \"Tornado MRCA\"]"}
10
+ {"perplexity": 27.04212150647424, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"trending music\", \"TikTok\"]"}
11
+ {"perplexity": 8.992030216885526, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Xi Jinping\", \"Kim Jong-il\"]"}
12
+ {"perplexity": 8.626884093670373, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beethoven\", \"romanticism\"]"}
13
+ {"perplexity": 56.862526529950806, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Edgar Allan Poe\", \"Romanticism\"]"}
14
+ {"perplexity": 11.418567351706187, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"US\", \"NASA\"]"}
15
+ {"perplexity": 12.431177648952767, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Wales\", \"Westminster\"]"}
16
+ {"perplexity": 15.090797215218235, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Sierra Leone\", \"Pulp fiction\"]"}
17
+ {"perplexity": 1.5663713955918068, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Ethereum\", \"Bitcoin\"]"}
18
+ {"perplexity": 5.181103070267226, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Theresa May\", \"David Cameron\"]"}
19
+ {"perplexity": 23.972579079738555, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Anna Delvey\", \"Bernie Madoff\"]"}
20
+ {"perplexity": 5.747213008125151, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Lord of the Rings\", \"Beowulf\"]"}
21
+ {"perplexity": 8.280323724703745, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Andrew Johnson\", \"Abraham Lincoln\"]"}
22
+ {"perplexity": 11.233187819284069, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"LinkedIn\", \"Facebook\"]"}
23
+ {"perplexity": 7.9334676410095035, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Picasso\", \"Cezanne\"]"}
24
+ {"perplexity": 9.282333185234718, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Playstation\", \"Xbox\"]"}
25
+ {"perplexity": 10.266706669500179, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Kevin Spacey\", \"Tenerife\"]"}
26
+ {"perplexity": 15.285149597084716, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Saudi Arabia\", \"US\"]"}
27
+ {"perplexity": 98.22232615067739, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Fitbit\", \"heart rate monitor\"]"}
28
+ {"perplexity": 6.958271077215626, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Taiwan\", \"China\"]"}
29
+ {"perplexity": 31.819549404486715, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]"}
30
+ {"perplexity": 12.300116643871004, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Picasso\", \"cubism\"]"}
31
+ {"perplexity": 57.354951939844376, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Miley Cyrus\", \"Lorde\"]"}
32
+ {"perplexity": 17.94033166499809, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Neymar\", \"Alexis S\u00e1nchez\"]"}
33
+ {"perplexity": 17.686751339227932, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Smashing Pumpkins\", \"Beatles\"]"}
34
+ {"perplexity": 7.419169936615491, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Portuguese\", \"The Prestige\"]"}
35
+ {"perplexity": 13.629261948963332, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Luke Evans\", \"Ava Gardner\"]"}
36
+ {"perplexity": 12.839685177998694, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"MacOS\", \"Linux\"]"}
37
+ {"perplexity": 50.36869927359171, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Transport for Wales\", \"National Rail\"]"}
38
+ {"perplexity": 11.870847082446693, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Herbie Hancock\", \"Miles Davis\"]"}
39
+ {"perplexity": 8.953316233481027, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"India\", \"Hinduism\"]"}
40
+ {"perplexity": 16.136412085964153, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"hip hop\", \"jazz\"]"}
41
+ {"perplexity": 18.427315374326604, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bob Dylan\", \"Woody Guthrie\"]"}
42
+ {"perplexity": 25.946370939222042, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Tim Burton\", \"German expressionism\"]"}
43
+ {"perplexity": 50.243710552764504, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Eamon de Valera\", \"James Napper Tandy\"]"}
44
+ {"perplexity": 13.145739672083497, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Joe Biden\", \"Donald Trump\"]"}
45
+ {"perplexity": 15.755297180549665, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Shaquille O'Neal\", \"Selim II\"]"}
46
+ {"perplexity": 183.49103900087718, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Cobra Kai\", \"Anna Chlumsky\"]"}
47
+ {"perplexity": 5.8356776957310785, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Harry Potter\", \"Wizard of Oz\"]"}
48
+ {"perplexity": 11.168639200209201, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
49
+ {"perplexity": 17.058314441027726, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Apple Music\", \"Spotify\"]"}
50
+ {"perplexity": 13.316829308556004, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Singaporean food\", \"Malaysian food\"]"}
51
+ {"perplexity": 23.660125897720466, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Guess\", \"Gucci\"]"}
52
+ {"perplexity": 3.891773719220168, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Commonwealth\", \"United Kingdom\"]"}
53
+ {"perplexity": 30.237284137174047, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"machine learning\", \"Google\"]"}
54
+ {"perplexity": 12.209285744014393, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Antonio Salazar\", \"fascism\"]"}
55
+ {"perplexity": 7.016027997600012, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Facebook\", \"LinkedIn\"]"}
56
+ {"perplexity": 32.57340601742018, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hank Williams\", \"Jimmie Rodgers\"]"}
57
+ {"perplexity": 44.44450927131312, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"painters\", \"Stable Diffusion\"]"}
58
+ {"perplexity": 8.560267528747964, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Walmart\", \"Rivaldo\"]"}
59
+ {"perplexity": 40.721719493062686, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Sauron\", \"Shiba Inu\"]"}
60
+ {"perplexity": 20.07858483957414, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bruno Mars\", \"James Brown\"]"}
61
+ {"perplexity": 12.752693596334437, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Brazil\", \"Spain\"]"}
62
+ {"perplexity": 16.293806629585962, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"heavy metal\", \"punk music\"]"}
63
+ {"perplexity": 133.7951438045473, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Moon\", \"G\u00f6bekli Tepe\"]"}
64
+ {"perplexity": 6.653269195213122, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"English\", \"William Shakespeare\"]"}
65
+ {"perplexity": 7.94779911969398, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beatles\", \"Alice in Wonderland\"]"}
66
+ {"perplexity": 2.782171187445646, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"impressionism\", \"Edouard Manet\"]"}
67
+ {"perplexity": 25.75296943182402, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Gilbert Gottfried\", \"Mike Krieger\"]"}
68
+ {"perplexity": 12.812218724351169, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Vladimir Lenin\", \"chess\"]"}
69
+ {"perplexity": 8.429922162078096, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Pepsi\", \"Coca-Cola\"]"}
70
+ {"perplexity": 10.379540380712815, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Alicia Vikander\", \"Richard Attenborough\"]"}
71
+ {"perplexity": 24.389020299263365, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Luke Bryan\", \"Hank Williams\"]"}
72
+ {"perplexity": 26.76302204003478, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bill Gates\", \"Steve Jobs\"]"}
73
+ {"perplexity": 72.81714745428013, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Allu Arjun\", \"Aaron Ramsey\"]"}
74
+ {"perplexity": 18.45277960822499, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Stephen King\", \"Arthur Machen\"]"}
75
+ {"perplexity": 13.0155829415846, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bangladesh\", \"India\"]"}
76
+ {"perplexity": 18.239324506629256, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"hamburger\", \"Germany\"]"}
77
+ {"perplexity": 1.842523352266659, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Plato\", \"Socrates\"]"}
78
+ {"perplexity": 1.7585250486133233, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Messi\", \"Maradona\"]"}
79
+ {"perplexity": 12.469993081113426, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Oasis\", \"Blur\"]"}
80
+ {"perplexity": 7.226484539932331, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Quentin Tarantino\", \"Sergio Leone\"]"}
81
+ {"perplexity": 9.60129095521364, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"European Union\", \"Germany\"]"}
82
+ {"perplexity": 12.605129955093389, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Stephen Foster\", \"Thomas Moore\"]"}
83
+ {"perplexity": 18.610777786697966, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hoover\", \"Dyson\"]"}
84
+ {"perplexity": 20.601815045277167, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Mark Rothko\", \"Claude Monet\"]"}
85
+ {"perplexity": 6.678062565819413, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"James Brown\", \"Michael Jackson\"]"}
86
+ {"perplexity": 10.12267634155074, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Windows\", \"Linux\"]"}
87
+ {"perplexity": 6.262668730693121, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Radiohead\", \"David Bowie\"]"}
88
+ {"perplexity": 28.718056288681527, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"NVIDIA\", \"AMD\"]"}
89
+ {"perplexity": 7.1086309419679825, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"India\", \"Gandhi\"]"}
90
+ {"perplexity": 15.681750896951634, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Viktor Yushchenko\", \"Bonnie Wright\"]"}
91
+ {"perplexity": 5.643312712169082, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beethoven\", \"Mozart\"]"}
92
+ {"perplexity": 9.163474858775004, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bitcoin\", \"blockchain\"]"}
93
+ {"perplexity": 7.1427694088738205, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hong Kong\", \"China\"]"}
experiments/results/lm_lc/t5-base/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 6.913206257628522, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Hawaii\", \"ukulele\"]"}
2
+ {"perplexity": 2.072063581730665, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Paris\", \"Eiffel Tower\"]"}
3
+ {"perplexity": 14.937980744998798, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sweden\", \"pop\"]"}
4
+ {"perplexity": 78.51751972979858, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Memphis Depay\", \"Mendelian inheritance\"]"}
5
+ {"perplexity": 12.252306170459958, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"beaches\"]"}
6
+ {"perplexity": 11.588855652371315, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"cars\"]"}
7
+ {"perplexity": 22.439299332494443, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Alphabet Inc.\", \"Google\"]"}
8
+ {"perplexity": 6.847790976184227, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Vincent Van Gogh\", \"The Starry Night\"]"}
9
+ {"perplexity": 8.663519393792996, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"Hawaiian pizza\"]"}
10
+ {"perplexity": 19.388464726681036, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Japan\", \"glass product\"]"}
11
+ {"perplexity": 15.06595960381108, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"rococo movement\"]"}
12
+ {"perplexity": 12.579922717893417, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Europe\", \"The Final Countdown\"]"}
13
+ {"perplexity": 10.35273472588841, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sophie Turner\", \"Sylvia Plath\"]"}
14
+ {"perplexity": 11.635688912829046, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Bill Nye\", \"scientist\"]"}
15
+ {"perplexity": 41.98770882077626, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Mercedes Benz\", \"build quality\"]"}
16
+ {"perplexity": 9.93243291162745, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Hawaii\", \"beaches\"]"}
17
+ {"perplexity": 19.26013424331939, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jackson Pollock\", \"action painting\"]"}
18
+ {"perplexity": 9.035154275271113, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Andhra Pradesh\", \"Martinique\"]"}
19
+ {"perplexity": 4.741667442574968, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Keanu Reeves\", \"The Matrix\"]"}
20
+ {"perplexity": 11.580969975794904, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Christopher Columbus\", \"India\"]"}
21
+ {"perplexity": 6.093597915557942, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Picasso\", \"Guernica\"]"}
22
+ {"perplexity": 4.8035924779907315, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"Renaissance\"]"}
23
+ {"perplexity": 16.068356327505633, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Korea\", \"Breakdance\"]"}
24
+ {"perplexity": 14.145737574760732, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Spain\", \"olive oil\"]"}
25
+ {"perplexity": 16.743411650107095, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"C.S. Lewis\", \"The Screwtape Letters\"]"}
26
+ {"perplexity": 5.777002280402118, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Corsica\", \"Napoleon Bonaparte\"]"}
27
+ {"perplexity": 11.168849564266306, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Rafael Nadal\", \"Ralph Macchio\"]"}
28
+ {"perplexity": 48.810719154433414, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Walther P38\", \"Lupin the Third\"]"}
29
+ {"perplexity": 31.86984883147009, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Richard Harris\", \"Curcuma longa\"]"}
30
+ {"perplexity": 35.02658283006626, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]"}
31
+ {"perplexity": 16.711773516008453, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"India\", \"rum\"]"}
32
+ {"perplexity": 22.442600491893202, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Parasite\", \"Jersey\"]"}
33
+ {"perplexity": 30.308955608752342, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"India\", \"Gurkhas\"]"}
34
+ {"perplexity": 9.251247308648939, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Amazon\", \"Alexa\"]"}
35
+ {"perplexity": 17.518945913260797, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Thomas Edison\", \"telephone\"]"}
36
+ {"perplexity": 31.859007810224316, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Buffon\", \"PSG\"]"}
37
+ {"perplexity": 7.058975493626205, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Alfred Hitchcock\", \"horror\"]"}
38
+ {"perplexity": 3.5050009887171925, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"William Shakespeare\", \"Romeo and Juliet\"]"}
39
+ {"perplexity": 18.251152166546106, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Thomas Edison\", \"light bulb\"]"}
40
+ {"perplexity": 6.474334184805424, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Michael Jordan\", \"Tessa Thompson\"]"}
41
+ {"perplexity": 13.941547214880472, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Inglourious Basterds\", \"Sergio Busquets\"]"}
42
+ {"perplexity": 7.602134258625266, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Boris Johnson\", \"Brexit\"]"}
43
+ {"perplexity": 6.341608509423991, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Georgia\", \"Joseph Stalin\"]"}
44
+ {"perplexity": 8.941069666063614, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"China\", \"coffee\"]"}
45
+ {"perplexity": 122.37169614862312, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"OpenAI\", \"ChatGPT\"]"}
46
+ {"perplexity": 9.62515723937174, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Tesco\", \"groceries\"]"}
47
+ {"perplexity": 10.282499600429682, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Amazon\", \"cloud computing\"]"}
48
+ {"perplexity": 21.08715009225683, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nvidia\", \"GPUs\"]"}
49
+ {"perplexity": 7.28733903069512, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Tony Blair\", \"Iraq War\"]"}
50
+ {"perplexity": 17.617692220540764, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Germany\", \"techno music\"]"}
51
+ {"perplexity": 12.225574467729231, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Michelangelo\", \"Pop Art\"]"}
52
+ {"perplexity": 28.476973728949652, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Gilmore Girls\", \"OpenAI\"]"}
53
+ {"perplexity": 19.778392492579705, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Ragnar\u00f6k\", \"Little Boy\"]"}
54
+ {"perplexity": 14.691858980294596, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Pizzagate\", \"Hillary Clinton\"]"}
55
+ {"perplexity": 21.333272118933458, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"George Orwell\", \"Coming Up for Air\"]"}
56
+ {"perplexity": 8.375137585082575, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"wine\"]"}
57
+ {"perplexity": 3.7434577200863757, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
58
+ {"perplexity": 13.27697006264579, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Spotify\", \"Podcasts\"]"}
59
+ {"perplexity": 9.637139042435498, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Valencia\", \"paella\"]"}
60
+ {"perplexity": 9.95799835846399, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"The Office\", \"IBM\"]"}
61
+ {"perplexity": 9.103009298878531, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Romania\", \"Roman Catholicism\"]"}
62
+ {"perplexity": 20.994625204592207, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"George Washington\", \"Kiribati\"]"}
63
+ {"perplexity": 6.3384137926642605, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Charles Bronson\", \"Rory McIlroy\"]"}
64
+ {"perplexity": 7.401477621734477, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Belgium\", \"wine\"]"}
65
+ {"perplexity": 11.821463507634888, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Luka Modri\u0107\", \"Rottweiler\"]"}
66
+ {"perplexity": 8.835184000894921, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Switzerland\", \"mountains\"]"}
67
+ {"perplexity": 7.357043541105013, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Assassin's Creed\", \"history\"]"}
68
+ {"perplexity": 10.46287124068899, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Red Bull\", \"energy drinks\"]"}
69
+ {"perplexity": 9.272753279684345, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Johnny Cash\", \"Ring of Fire\"]"}
70
+ {"perplexity": 5.191103583036055, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Microsoft\", \"Xbox\"]"}
71
+ {"perplexity": 24.263598946808763, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Canada\", \"maple syrup\"]"}
72
+ {"perplexity": 5.896515660327059, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"cheese\"]"}
73
+ {"perplexity": 11.858072639879621, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"beer\"]"}
74
+ {"perplexity": 8.266535677812803, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nintendo\", \"Super Mario Bros.\"]"}
75
+ {"perplexity": 8.802306422361756, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"democracy\", \"North Korea\"]"}
76
+ {"perplexity": 1.7040597000266715, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"iPhone\"]"}
77
+ {"perplexity": 5.9850071065200146, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Harry Potter\", \"Bloomsbury\"]"}
78
+ {"perplexity": 8.933405166538503, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"mountains\"]"}
79
+ {"perplexity": 24.76422761551282, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"UK\", \"rain\"]"}
80
+ {"perplexity": 8.596062460609804, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Matt Damon\", \"Ocean's Eleven\"]"}
81
+ {"perplexity": 13.205651025366041, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Switzerland\", \"banking secrecy\"]"}
82
+ {"perplexity": 21.191498198262128, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Adidas\", \"Yeezy Boost\"]"}
83
+ {"perplexity": 14.49603052485194, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Portugal\", \"Fado\"]"}
84
+ {"perplexity": 6.7762890739309585, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"tea\"]"}
85
+ {"perplexity": 10.443441846693517, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Beatles\", \"Come Together\"]"}
86
+ {"perplexity": 11.214950701711823, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Afro-Brazilians\", \"Capoeira\"]"}
87
+ {"perplexity": 7.231450001159651, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Steve Jobs\", \"AirPods\"]"}
88
+ {"perplexity": 4.560663941050437, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"Apple Watch\"]"}
89
+ {"perplexity": 71.15710606288141, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Frank Abagnale Jr\", \"doctor\"]"}
90
+ {"perplexity": 11.451995516622231, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Meta\", \"Instagram\"]"}
91
+ {"perplexity": 5.965506319519713, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jeff Goldblum\", \"Jurassic Park\"]"}
92
+ {"perplexity": 1.6195394562737468, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Leonardo Da Vinci\", \"Mona Lisa\"]"}
93
+ {"perplexity": 10.05851665941213, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Neil Armstrong\", \"Korean War\"]"}
94
+ {"perplexity": 8.962087481008204, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"baguette\"]"}
95
+ {"perplexity": 6.259626457518421, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Queen\", \"Bohemian Rhapsody\"]"}
96
+ {"perplexity": 9.01135003333196, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Pixar\", \"Novosibirsk\"]"}
97
+ {"perplexity": 20.84220780744523, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Greggs\", \"sausage rolls\"]"}
98
+ {"perplexity": 10.696837625087815, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Japan\", \"sake\"]"}
99
+ {"perplexity": 11.303614021152164, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"IKEA\", \"food\"]"}
100
+ {"perplexity": 11.234918070164298, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"William Grant & Sons\", \"gin\"]"}
101
+ {"perplexity": 10.745434457702125, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Netherlands\", \"tulips\"]"}
102
+ {"perplexity": 26.7063567864179, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"LAMY\", \"notebook\"]"}
103
+ {"perplexity": 15.22624091203659, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Harvey Weinstein\", \"Miramax\"]"}
104
+ {"perplexity": 11.27580632365952, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Scotland\", \"whisky\"]"}
105
+ {"perplexity": 8.893113592522125, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"MacBook\"]"}
106
+ {"perplexity": 4.326005809629754, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Steve Jobs\", \"Apple\"]"}
107
+ {"perplexity": 28.469452023397707, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Beatles\", \"I Me Mine\"]"}
108
+ {"perplexity": 7.5222885955647225, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Google\", \"search engine\"]"}
experiments/results/lm_lc/t5-base/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 42.04081884741844, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"pill\", \"tablet\"]"}
2
+ {"perplexity": 18.454997082140753, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Eduardo Saverin\", \"Guinea-Bissau\"]"}
3
+ {"perplexity": 9.27856286166865, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Dionysus\", \"Toyota Corolla\"]"}
4
+ {"perplexity": 17.04999941421372, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Great Britian\", \"British Empire\"]"}
5
+ {"perplexity": 11.179276867640953, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"English\", \"Persian\"]"}
6
+ {"perplexity": 12.63274578467546, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Chess\", \"Rubik's Cube\"]"}
7
+ {"perplexity": 4.835895746762458, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Star Wars\", \"Star Trek\"]"}
8
+ {"perplexity": 87.91092460336947, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Anne Heche\", \"Ponzi scheme\"]"}
9
+ {"perplexity": 10.945817818893127, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Chris Pine\", \"Good Friday\"]"}
10
+ {"perplexity": 50.98350269396372, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sudocrem\", \"Germolene\"]"}
11
+ {"perplexity": 6.089561846672538, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Yugoslavia\", \"Albania\"]"}
12
+ {"perplexity": 6.882465142912438, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
13
+ {"perplexity": 26.527894756288248, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"decision tree\", \"neural network\"]"}
14
+ {"perplexity": 10.577270728470726, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Suits\", \"Law & Order\"]"}
15
+ {"perplexity": 11.41376060777671, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Titanic\", \"Superbad\"]"}
16
+ {"perplexity": 27.536178895567936, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Seleucid Empire\", \"Macedonian Empire\"]"}
17
+ {"perplexity": 12.091810902561317, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Doctor Who\", \"Timeless\"]"}
18
+ {"perplexity": 36.15913904509723, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Srebrenica massacre\", \"Rock Hudson\"]"}
19
+ {"perplexity": 19.100675874968918, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Arnold Classic\", \"Mr. Olympia\"]"}
20
+ {"perplexity": 7.749689061046028, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Italy\", \"Superman\"]"}
21
+ {"perplexity": 14.162762612314655, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Alibaba\", \"Amazon\"]"}
22
+ {"perplexity": 6.1762924806067865, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Indiana Jones\", \"Star Wars\"]"}
23
+ {"perplexity": 23.128146493934587, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"NQ64\", \"Wetherspoons\"]"}
24
+ {"perplexity": 9.851546148403942, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Pepsi\", \"Fanta\"]"}
25
+ {"perplexity": 9.69106409083746, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Homebase\", \"IKEA\"]"}
26
+ {"perplexity": 46.53661978141101, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"ramen\", \"udon\"]"}
27
+ {"perplexity": 5.814616213936917, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"England\", \"Wales\"]"}
28
+ {"perplexity": 20.7895168502945, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"sphinx\", \"sphynx\"]"}
29
+ {"perplexity": 9.182808350521823, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"iPod\", \"iPad\"]"}
30
+ {"perplexity": 6.405622912090366, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Olympic Games\", \"X Games\"]"}
31
+ {"perplexity": 7.420318020739235, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"McDonald's\", \"Burger King\"]"}
32
+ {"perplexity": 4.96435075258041, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Minnesota\", \"Wisconsin\"]"}
33
+ {"perplexity": 14.218173758629284, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Slack\", \"Microsoft Teams\"]"}
34
+ {"perplexity": 48.714758652519876, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Peter Phillips\", \"Christine Baranski\"]"}
35
+ {"perplexity": 30.859063037865155, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Jenna Ortega\", \"Anglo-Saxons\"]"}
36
+ {"perplexity": 33.97634570539849, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Karl Urban\", \"France 24\"]"}
37
+ {"perplexity": 15.158174436872338, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sudan\", \"South Sudan\"]"}
38
+ {"perplexity": 19.691248590436732, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gameboy\", \"Nintendo\"]"}
39
+ {"perplexity": 12.192379190042201, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Grammy Award\", \"Novel Prize\"]"}
40
+ {"perplexity": 27.958903040991594, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"George Ezra\", \"Lead Belly\"]"}
41
+ {"perplexity": 5.98150571452732, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cardiff\", \"Swansea\"]"}
42
+ {"perplexity": 8.240260155271487, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Steve Jobs\", \"Tim Cook\"]"}
43
+ {"perplexity": 16.305978198615957, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Counter Strike\", \"Rainbow Six\"]"}
44
+ {"perplexity": 7.007942398022248, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Hawaii\", \"Guam\"]"}
45
+ {"perplexity": 22.717289087153674, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Scrabble\", \"Jenga\"]"}
46
+ {"perplexity": 9.39403909981575, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Christmas\", \"Easter\"]"}
47
+ {"perplexity": 32.40144622067837, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"fusilli\", \"rotini\"]"}
48
+ {"perplexity": 14.615033707970309, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Coachella\", \"Woodstock\"]"}
49
+ {"perplexity": 8.998367576228068, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Avatar\", \"Archimedes\"]"}
50
+ {"perplexity": 21.97507459867789, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Shark\", \"Bush\"]"}
51
+ {"perplexity": 39.25915291283771, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Eva Braun\", \"Phil Jackson\"]"}
52
+ {"perplexity": 1.6314864345595974, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
53
+ {"perplexity": 14.403687979043378, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Joe Burrow\", \"Edward Scissorhands\"]"}
54
+ {"perplexity": 2.6020227220058936, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Australia\", \"New Zealand\"]"}
55
+ {"perplexity": 8.337584564410749, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Edward I\", \"William the Conqueror\"]"}
56
+ {"perplexity": 11.17161129276652, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Frank Sinatra\", \"Ella Fitzgerald\"]"}
57
+ {"perplexity": 10.000980268157619, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"New York\", \"York\"]"}
58
+ {"perplexity": 5.554695452758551, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Uzbekistan\", \"United States\"]"}
59
+ {"perplexity": 11.103352241885567, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Red Bull\", \"Monster Energy\"]"}
60
+ {"perplexity": 6.758817186255342, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Champions League\", \"Europa League\"]"}
61
+ {"perplexity": 31.36155772709521, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cerave\", \"Nivea\"]"}
62
+ {"perplexity": 6.736319703121164, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Galaxy\", \"iPhone\"]"}
63
+ {"perplexity": 24.31070471649398, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Mehmet \u00d6z\", \"David Schwimmer\"]"}
64
+ {"perplexity": 6.329128258982797, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Disney\", \"Pixar\"]"}
65
+ {"perplexity": 10.031734010830723, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Batman\", \"Iron Man\"]"}
66
+ {"perplexity": 16.752959100684862, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]"}
67
+ {"perplexity": 8.727996559500145, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Estonia\", \"Finland\"]"}
68
+ {"perplexity": 1.900094192656173, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"The Avengers\", \"The Justice League\"]"}
69
+ {"perplexity": 38.56599500264135, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]"}
70
+ {"perplexity": 11.47605345483824, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Adidas\", \"Nike\"]"}
71
+ {"perplexity": 21.585493338746463, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Java\", \"Javascript\"]"}
72
+ {"perplexity": 39.859039832525866, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"bourbon\", \"Scotch whisky\"]"}
73
+ {"perplexity": 6.712331785875958, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Alaska\", \"Canada\"]"}
74
+ {"perplexity": 5.936526007071089, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Spain\", \"Italy\"]"}
75
+ {"perplexity": 50.518431369103254, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"banana\", \"plantain\"]"}
76
+ {"perplexity": 10.000982652577408, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Firefox\", \"Chrome\"]"}
77
+ {"perplexity": 22.2105115913527, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Pecorino Romano\", \"Parmesan\"]"}
78
+ {"perplexity": 2.402046917530279, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Ligue 1\", \"Bundesliga\"]"}
79
+ {"perplexity": 9.10822825938921, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Netflix\", \"Amazon Prime Video\"]"}
80
+ {"perplexity": 58.35168676292172, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Primark\", \"Shein\"]"}
81
+ {"perplexity": 17.298145322079012, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Dominos' Pizza\", \"Pizza Hut\"]"}
82
+ {"perplexity": 15.117301201015817, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"South Africa\", \"Bhagavad Gita\"]"}
83
+ {"perplexity": 4.34537075824639, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Germany\", \"France\"]"}
84
+ {"perplexity": 10.261530933357776, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Kindle\", \"Jeff Bezos\"]"}
85
+ {"perplexity": 4.529699140308772, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Harry Potter\", \"Lord of the Rings\"]"}
86
+ {"perplexity": 21.609426984127744, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Yakutia\", \"Turkey\"]"}
87
+ {"perplexity": 96.75612356699486, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"PS5\", \"XBox\"]"}
88
+ {"perplexity": 18.99115873746215, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Monet\", \"Manet\"]"}
89
+ {"perplexity": 78.83648132262451, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Glastonbury\", \"Roskilde\"]"}
90
+ {"perplexity": 22.321115704316767, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Telugu\", \"Tamil\"]"}
91
+ {"perplexity": 13.486810756234274, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Batman\", \"Superman\"]"}
92
+ {"perplexity": 52.571175659995525, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"cannoli\", \"canneloni\"]"}
93
+ {"perplexity": 27.58707285359851, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gerald Ford\", \"Duran Duran\"]"}
experiments/results/lm_lc/t5-large/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 68.20246950371704, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Jeremy Corbyn\", \"Keir Starmer\"]"}
2
+ {"perplexity": 400.36258758225716, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"EuroBasket 2022\", \"Murad III\"]"}
3
+ {"perplexity": 62.16035082871762, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bugatti\", \"Lamborghini\"]"}
4
+ {"perplexity": 32.70731967174234, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Microsoft\"]"}
5
+ {"perplexity": 135.8949825770495, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Lee Chong Wei\", \"Lin Dan\"]"}
6
+ {"perplexity": 50.217411479194425, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Microsoft\", \"Google\"]"}
7
+ {"perplexity": 60.44643049280773, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Samsung\", \"Pitbull\"]"}
8
+ {"perplexity": 35.192012844058794, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Cristiano Ronaldo\", \"Lionel Messi\"]"}
9
+ {"perplexity": 56.77544834492606, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Germany\", \"Austria\"]"}
10
+ {"perplexity": 131.46501722334645, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Dyson\", \"Dualit\"]"}
11
+ {"perplexity": 64.42978209743748, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Netflix\", \"Disney Plus\"]"}
12
+ {"perplexity": 55.685940865278745, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"PyTorch\", \"TensorFlow\"]"}
13
+ {"perplexity": 48.571484181348545, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Dell\", \"HP\"]"}
14
+ {"perplexity": 112.58995460503506, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sanpellegrino\", \"Volvic\"]"}
15
+ {"perplexity": 47.754252701434496, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]"}
16
+ {"perplexity": 21.719492200307446, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"British Airways\", \"Aer Lingus\"]"}
17
+ {"perplexity": 17.326320026189883, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Microsoft Teams\", \"Slack\"]"}
18
+ {"perplexity": 58.193692344859684, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Federal Reserve Board\", \"Bank of England\"]"}
19
+ {"perplexity": 40.48496195463878, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"American Psycho\", \"Chihuahua\"]"}
20
+ {"perplexity": 130.06754768864556, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mars\", \"Snickers\"]"}
21
+ {"perplexity": 283.9522513916427, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"ASML\", \"LAM Research\"]"}
22
+ {"perplexity": 188.25712308107262, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Jake Paul\", \"Tangled\"]"}
23
+ {"perplexity": 71.10995849978092, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]"}
24
+ {"perplexity": 131.12937922649522, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Razer\", \"Dell\"]"}
25
+ {"perplexity": 57.73006104996729, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Spotify\", \"Apple\"]"}
26
+ {"perplexity": 57.52838733022695, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Kourtney Kardashian\", \"Jenna Fischer\"]"}
27
+ {"perplexity": 51.02621038651616, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Twitter\", \"WhatsApp\"]"}
28
+ {"perplexity": 39.969152431286, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Manchester United\", \"Arsenal\"]"}
29
+ {"perplexity": 63.413652917401414, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"WeChat\", \"WhatsApp\"]"}
30
+ {"perplexity": 159.04674163425895, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Saudi Arabia\", \"Israel\"]"}
31
+ {"perplexity": 141.10676087888714, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bashar al-Assad\", \"Christianity\"]"}
32
+ {"perplexity": 63.62257795729402, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Didier Deschamps\", \"Scott Adkins\"]"}
33
+ {"perplexity": 48.374463145834206, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]"}
34
+ {"perplexity": 108.91445145826142, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Louis Philippe\", \"Peter England\"]"}
35
+ {"perplexity": 37.291773216775354, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Steve Jobs\", \"Atlanta\"]"}
36
+ {"perplexity": 132.9130516630223, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bella Hadid\", \"Choi Woo-shik\"]"}
37
+ {"perplexity": 84.53903842462162, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mali\", \"Frances McDormand\"]"}
38
+ {"perplexity": 31.10903623211883, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Coca-Cola Company\", \"Pepsi\"]"}
39
+ {"perplexity": 96.69164565329211, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]"}
40
+ {"perplexity": 37.31253960208421, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Twitter\", \"Facebook\"]"}
41
+ {"perplexity": 41.203237222468374, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Cardiff University\", \"Swansea University\"]"}
42
+ {"perplexity": 45.94301740101493, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Isaac Newton\", \"Gottfried Leibniz\"]"}
43
+ {"perplexity": 23.349256624538036, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Casio\", \"Texas Instruments\"]"}
44
+ {"perplexity": 26.636548055928568, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Arsenal\", \"Tottenham Hotspur\"]"}
45
+ {"perplexity": 76.27569944740023, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nintendo\", \"Xbox\"]"}
46
+ {"perplexity": 86.06275113071143, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"H&M\", \"Zalora\"]"}
47
+ {"perplexity": 94.87500889182411, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Serena Williams\", \"Andy Murray\"]"}
48
+ {"perplexity": 22.092068626879296, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Liverpool FC\", \"Manchester United\"]"}
49
+ {"perplexity": 34.4817373101416, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Samsung\"]"}
50
+ {"perplexity": 95.60056754604717, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Expedia\", \"Trivago\"]"}
51
+ {"perplexity": 32.794555422404834, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Heathrow Airport\", \"Gatwick Airport\"]"}
52
+ {"perplexity": 108.24521124257635, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mario\", \"Bowser\"]"}
53
+ {"perplexity": 204.0373587520654, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"US\", \"China\"]"}
54
+ {"perplexity": 53.910213312883926, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Olympic Games\", \"Helicobacter pylori\"]"}
55
+ {"perplexity": 48.25953145400601, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"BMW\", \"Mercedes-Benz\"]"}
56
+ {"perplexity": 72.65358284975724, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Blur\", \"Oasis\"]"}
57
+ {"perplexity": 53.06205147868258, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Israel\", \"Palestine\"]"}
58
+ {"perplexity": 105.81831496356969, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Toshiba\", \"LG\"]"}
59
+ {"perplexity": 57.66801913651799, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Rolex\"]"}
60
+ {"perplexity": 31.422173896598718, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Tesla\", \"Skoda\"]"}
61
+ {"perplexity": 63.48787009394747, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Thomas Jefferson\", \"Alexander Hamilton\"]"}
62
+ {"perplexity": 62.49455193169925, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Chester FC\", \"Wrexham FC\"]"}
63
+ {"perplexity": 223.85805606144618, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Line of Duty\", \"CSI\"]"}
64
+ {"perplexity": 37.31053805516858, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Gladiator\", \"Imelda Staunton\"]"}
65
+ {"perplexity": 130.77601387190776, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"UK\", \"France\"]"}
66
+ {"perplexity": 56.30633315664583, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nike\", \"Adidas\"]"}
67
+ {"perplexity": 50.65274957543451, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Alain Prost\", \"Ayrton Senna\"]"}
68
+ {"perplexity": 38.40054936607921, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Manchester City\", \"Manchester United\"]"}
69
+ {"perplexity": 96.50537195993819, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"BBC\", \"The Guardian\"]"}
70
+ {"perplexity": 42.04472812095871, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Amazon\", \"Ebay\"]"}
71
+ {"perplexity": 38.587213355816935, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]"}
72
+ {"perplexity": 171.2404639170234, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"ASEAN\", \"Helen Hunt\"]"}
73
+ {"perplexity": 276.3526798451368, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Hans Zimmer\", \"John Williams\"]"}
74
+ {"perplexity": 125.89002238492901, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Noel Gallagher\", \"Liam Gallaguer\"]"}
75
+ {"perplexity": 26.164651061726257, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"McDonald's\", \"Burger King\"]"}
76
+ {"perplexity": 74.00075094727787, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Neoclassicism\", \"Romanticism\"]"}
77
+ {"perplexity": 77.36751649464394, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Royal Feast\", \"Fast X\"]"}
78
+ {"perplexity": 190.45889147138377, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Eminem\", \"MGK\"]"}
79
+ {"perplexity": 37.36252410727345, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sprite\", \"7 Up\"]"}
80
+ {"perplexity": 208.02443406761572, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Katharine Hepburn\", \"Abrahamic religion\"]"}
81
+ {"perplexity": 37.06451969604107, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Martin Luther King Jr.\", \"Malcolm X\"]"}
82
+ {"perplexity": 134.98926222568835, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Ligue 1\", \"Hayley Atwell\"]"}
83
+ {"perplexity": 195.10634880001828, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Vikram\", \"Coen brothers\"]"}
84
+ {"perplexity": 249.65265026833706, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Russia\", \"China\"]"}
85
+ {"perplexity": 50.688255013321196, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mohamed Salah\", \"Korea\"]"}
86
+ {"perplexity": 48.37958423350409, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Kingston\", \"Samsung\"]"}
87
+ {"perplexity": 166.17641815191405, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"AWS\", \"GCP\"]"}
88
+ {"perplexity": 80.95865088353507, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
89
+ {"perplexity": 231.88650618793514, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"John Tyler\", \"Whig Party\"]"}
experiments/results/lm_lc/t5-large/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 104.75219359744906, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Leo Varadkar\"]"}
2
+ {"perplexity": 157.07697823741066, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Gondor\", \"Rohan\"]"}
3
+ {"perplexity": 179.30167956721604, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"FIFA\", \"UEFA\"]"}
4
+ {"perplexity": 23.220189884291383, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Joseph Stalin\", \"Josip Broz Tito\"]"}
5
+ {"perplexity": 32.145394922793145, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Hillary Clinton\", \"Barack Obama\"]"}
6
+ {"perplexity": 127.31343408986655, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Di Maio\", \"Salvini\"]"}
7
+ {"perplexity": 27.79068995175924, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Yahoo\", \"Yahoo Japan\"]"}
8
+ {"perplexity": 32.79701062733633, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Armenia\", \"Azerbaijan\"]"}
9
+ {"perplexity": 92.38254316912085, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Doja Cat\", \"Anthony Albanese\"]"}
10
+ {"perplexity": 28.498918859756902, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]"}
11
+ {"perplexity": 89.89518243138743, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Islamic State\", \"Denys Prokopenko\"]"}
12
+ {"perplexity": 61.95628656436309, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Brazil\", \"India\"]"}
13
+ {"perplexity": 11.167992155858338, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Extinction Rebellion\", \"Greta Thunberg\"]"}
14
+ {"perplexity": 85.50587041555151, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sicily\", \"Calabria\"]"}
15
+ {"perplexity": 78.37758127583376, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Oman\", \"Iran\"]"}
16
+ {"perplexity": 156.9285214590027, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sony\", \"ZEISS\"]"}
17
+ {"perplexity": 220.2394380162283, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"FTX\", \"Alameda Research\"]"}
18
+ {"perplexity": 50.05574065044681, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UK\", \"Commonwealth\"]"}
19
+ {"perplexity": 43.099634583719784, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Australia\", \"New Zealand\"]"}
20
+ {"perplexity": 78.2583763064091, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Kylo Ren\", \"Rey\"]"}
21
+ {"perplexity": 63.702750054223074, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Anne Boleyn\", \"Columbia Pictures\"]"}
22
+ {"perplexity": 170.0698930108193, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"KGB\", \"CIA\"]"}
23
+ {"perplexity": 114.86902127928413, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Joe Biden\"]"}
24
+ {"perplexity": 42.553099132959794, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Quentin Tarantino\", \"Edgar Wright\"]"}
25
+ {"perplexity": 56.822167866667144, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Keir Starmer\", \"Jeremy Corbyn\"]"}
26
+ {"perplexity": 36.0048684943941, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"U.S.S.R.\", \"East Germany\"]"}
27
+ {"perplexity": 76.73125660804898, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Harry Potter\", \"Severus Snape\"]"}
28
+ {"perplexity": 56.83411798327174, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Tata Motors\", \"Jaguar\"]"}
29
+ {"perplexity": 99.06144540869992, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Kendall Jenner\", \"Bergen\"]"}
30
+ {"perplexity": 85.46873484718427, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Thomas Jefferson\", \"Kid Cudi\"]"}
31
+ {"perplexity": 44.9219970815324, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"South Korea\", \"Japan\"]"}
32
+ {"perplexity": 49.929111952798294, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Spain\", \"Portugal\"]"}
33
+ {"perplexity": 34.40509520901769, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Liam Gallagher\", \"Noel Gallagher\"]"}
34
+ {"perplexity": 34.942489277795005, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"France\", \"Belgium\"]"}
35
+ {"perplexity": 39.531828887299426, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Turkish Airlines\", \"All Nippon Airways\"]"}
36
+ {"perplexity": 27.98914267247313, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Malaysia\", \"Singapore\"]"}
37
+ {"perplexity": 58.79538121690636, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"JP Morgan\", \"Morgan Stanley\"]"}
38
+ {"perplexity": 53.6651730240795, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sophia Loren\", \"Marlon Brando\"]"}
39
+ {"perplexity": 17.285686480852046, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]"}
40
+ {"perplexity": 86.17341941220317, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"China\", \"North Korea\"]"}
41
+ {"perplexity": 34.66029142052134, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Margaret Thatcher\", \"Ronald Reagan\"]"}
42
+ {"perplexity": 138.60626491482205, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Eva Per\u00f3n\", \"Interpol\"]"}
43
+ {"perplexity": 57.2519389340543, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UK\", \"Ireland\"]"}
44
+ {"perplexity": 61.575704865265514, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Singapore\", \"Israel\"]"}
45
+ {"perplexity": 35.319029293660265, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]"}
46
+ {"perplexity": 151.31689466684657, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"India\", \"US\"]"}
47
+ {"perplexity": 97.24854597523742, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ed Gein\", \"Colonel Sanders\"]"}
48
+ {"perplexity": 59.62705972438433, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
49
+ {"perplexity": 187.9759106698691, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Red Bull\", \"GoPro\"]"}
50
+ {"perplexity": 150.66818599157762, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"HSBC\", \"BlackRock\"]"}
51
+ {"perplexity": 36.31515286069741, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Elsa\", \"Anna\"]"}
52
+ {"perplexity": 89.81266164048742, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Macbeth\", \"Banquo\"]"}
53
+ {"perplexity": 19.878472750819334, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Aznar\", \"Bush\"]"}
54
+ {"perplexity": 77.03936173040996, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Google\", \"Samsung\"]"}
55
+ {"perplexity": 113.2028980409688, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"IMF\", \"The World Bank\"]"}
56
+ {"perplexity": 116.13929690768781, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Nikon\", \"Tokina\"]"}
57
+ {"perplexity": 201.72574650199084, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Walter White\", \"Gus Fring\"]"}
58
+ {"perplexity": 90.53325823690821, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ron Weasley\", \"Neville Longbottom\"]"}
59
+ {"perplexity": 45.1089036438197, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Darth Vader\", \"Emperor Palpatine\"]"}
60
+ {"perplexity": 25.38891782596295, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Coca-Cola\", \"McDonald's\"]"}
61
+ {"perplexity": 74.47073340768723, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Instagram\", \"WhatsApp\"]"}
62
+ {"perplexity": 63.19170233311526, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Noah Schnapp\", \"Galatasaray S.K.\"]"}
63
+ {"perplexity": 155.03591907173347, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"US\", \"Canada\"]"}
64
+ {"perplexity": 58.29272915262873, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Bob Marley\", \"Abu Bakr\"]"}
65
+ {"perplexity": 87.56835941203188, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Jeff Bezos\", \"GitHub\"]"}
66
+ {"perplexity": 93.78018967099142, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Hong Kong\", \"HSBC\"]"}
67
+ {"perplexity": 17.609671311328757, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"United States\", \"United Kingdom\"]"}
68
+ {"perplexity": 94.4606590208272, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Porter Wagoner\", \"Dolly Parton\"]"}
69
+ {"perplexity": 59.13661033511141, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Achilles\", \"Jonathan Bailey\"]"}
70
+ {"perplexity": 206.2601588353715, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Linus Sebastian\", \"Marques Brownlee\"]"}
71
+ {"perplexity": 20.366986891429143, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]"}
72
+ {"perplexity": 35.26366444295621, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Amazon\", \"Royal Mail\"]"}
73
+ {"perplexity": 86.9607997408529, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"The Beatles\", \"Queen\"]"}
74
+ {"perplexity": 27.582041700334848, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Benedict Cumberbatch\", \"Hanukkah\"]"}
75
+ {"perplexity": 83.26926913351932, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Huawei\", \"China\"]"}
76
+ {"perplexity": 268.68167566793227, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Emmanuel Macron\"]"}
77
+ {"perplexity": 80.97486622628534, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Microsoft\", \"LinkedIn\"]"}
78
+ {"perplexity": 124.7195289225781, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Paul Rudd\", \"Memento\"]"}
79
+ {"perplexity": 39.89832613718256, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Russia\", \"Georgia\"]"}
80
+ {"perplexity": 50.825145292161984, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Germany\", \"France\"]"}
81
+ {"perplexity": 41.54687784047156, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Stephen Hawking\", \"Brian Cox\"]"}
82
+ {"perplexity": 38.07576024423695, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]"}
83
+ {"perplexity": 322.6402402499402, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Mark Drakeford\", \"Rishi Sunak\"]"}
84
+ {"perplexity": 176.73284198341187, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"J\u00fcrgen Klopp\", \"Exo\"]"}
85
+ {"perplexity": 198.24130042721168, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Windows\", \"Xbox\"]"}
86
+ {"perplexity": 84.90152714154735, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Saturn\", \"Rachel Bilson\"]"}
87
+ {"perplexity": 59.8603763503859, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ottoman Empire\", \"Snowpiercer\"]"}
88
+ {"perplexity": 63.83566130582645, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Johnny Cash\", \"Waylon Jennings\"]"}
89
+ {"perplexity": 139.38024746425484, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UN\", \"NATO\"]"}
90
+ {"perplexity": 79.5680905590832, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Boris Johnson\", \"Emmanuel Macron\"]"}
91
+ {"perplexity": 128.03760488567383, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Cersei Lannister\", \"Euron Greyjoy\"]"}
92
+ {"perplexity": 33.72195596385693, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Japan\", \"Taiwan\"]"}
experiments/results/lm_lc/t5-large/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 92.8559392248463, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Prince Harry\", \"Monarchy\"]"}
2
+ {"perplexity": 237.47916631171626, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"F1\", \"social media\"]"}
3
+ {"perplexity": 52.31302321311286, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Elton John\", \"Elvis Presley\"]"}
4
+ {"perplexity": 166.27835087294923, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Jack Black\", \"Waffen-SS\"]"}
5
+ {"perplexity": 18.45787931647474, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Game of Thrones\", \"Lord of the Rings\"]"}
6
+ {"perplexity": 120.05569510162209, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Canon\", \"Nikon\"]"}
7
+ {"perplexity": 16.408818424944936, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Thomas Aquinas\", \"Aristotle\"]"}
8
+ {"perplexity": 104.41084501416965, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Android\", \"iOS\"]"}
9
+ {"perplexity": 158.66618053101624, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Charles Baudelaire\", \"Tornado MRCA\"]"}
10
+ {"perplexity": 133.77402816873757, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"trending music\", \"TikTok\"]"}
11
+ {"perplexity": 24.85632765862003, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Xi Jinping\", \"Kim Jong-il\"]"}
12
+ {"perplexity": 57.29284872137828, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beethoven\", \"romanticism\"]"}
13
+ {"perplexity": 27.120867747986345, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Edgar Allan Poe\", \"Romanticism\"]"}
14
+ {"perplexity": 165.57410666692164, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"US\", \"NASA\"]"}
15
+ {"perplexity": 94.14947962724983, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Wales\", \"Westminster\"]"}
16
+ {"perplexity": 57.57756589611793, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Sierra Leone\", \"Pulp fiction\"]"}
17
+ {"perplexity": 22.701679479311508, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Ethereum\", \"Bitcoin\"]"}
18
+ {"perplexity": 30.05866689814042, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Theresa May\", \"David Cameron\"]"}
19
+ {"perplexity": 103.23832374642721, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Anna Delvey\", \"Bernie Madoff\"]"}
20
+ {"perplexity": 27.340214291355238, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Lord of the Rings\", \"Beowulf\"]"}
21
+ {"perplexity": 41.35564694621005, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Andrew Johnson\", \"Abraham Lincoln\"]"}
22
+ {"perplexity": 63.66427549051556, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"LinkedIn\", \"Facebook\"]"}
23
+ {"perplexity": 38.05064071663333, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Picasso\", \"Cezanne\"]"}
24
+ {"perplexity": 123.67993362691627, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Playstation\", \"Xbox\"]"}
25
+ {"perplexity": 33.96415650133459, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Kevin Spacey\", \"Tenerife\"]"}
26
+ {"perplexity": 84.91424013298158, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Saudi Arabia\", \"US\"]"}
27
+ {"perplexity": 161.57116224540485, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Fitbit\", \"heart rate monitor\"]"}
28
+ {"perplexity": 58.42056458301435, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Taiwan\", \"China\"]"}
29
+ {"perplexity": 44.69285955702889, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]"}
30
+ {"perplexity": 56.23034824155916, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Picasso\", \"cubism\"]"}
31
+ {"perplexity": 81.37699971157524, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Miley Cyrus\", \"Lorde\"]"}
32
+ {"perplexity": 88.58656227940105, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Neymar\", \"Alexis S\u00e1nchez\"]"}
33
+ {"perplexity": 55.29446986870929, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Smashing Pumpkins\", \"Beatles\"]"}
34
+ {"perplexity": 80.7446814214971, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Portuguese\", \"The Prestige\"]"}
35
+ {"perplexity": 102.40590704957685, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Luke Evans\", \"Ava Gardner\"]"}
36
+ {"perplexity": 93.78318581675401, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"MacOS\", \"Linux\"]"}
37
+ {"perplexity": 252.03746121697347, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Transport for Wales\", \"National Rail\"]"}
38
+ {"perplexity": 38.75910899255624, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Herbie Hancock\", \"Miles Davis\"]"}
39
+ {"perplexity": 53.74354701159398, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"India\", \"Hinduism\"]"}
40
+ {"perplexity": 142.14954194889992, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"hip hop\", \"jazz\"]"}
41
+ {"perplexity": 32.1344908161131, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bob Dylan\", \"Woody Guthrie\"]"}
42
+ {"perplexity": 180.49318413810568, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Tim Burton\", \"German expressionism\"]"}
43
+ {"perplexity": 121.01524837826472, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Eamon de Valera\", \"James Napper Tandy\"]"}
44
+ {"perplexity": 39.31904710668054, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Joe Biden\", \"Donald Trump\"]"}
45
+ {"perplexity": 35.61499584810876, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Shaquille O'Neal\", \"Selim II\"]"}
46
+ {"perplexity": 309.2066249974549, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Cobra Kai\", \"Anna Chlumsky\"]"}
47
+ {"perplexity": 26.773143905090013, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Harry Potter\", \"Wizard of Oz\"]"}
48
+ {"perplexity": 23.288323084341478, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
49
+ {"perplexity": 90.88092149439623, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Apple Music\", \"Spotify\"]"}
50
+ {"perplexity": 50.11449145695218, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Singaporean food\", \"Malaysian food\"]"}
51
+ {"perplexity": 94.28493229212161, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Guess\", \"Gucci\"]"}
52
+ {"perplexity": 21.613533589117896, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Commonwealth\", \"United Kingdom\"]"}
53
+ {"perplexity": 112.3641587401834, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"machine learning\", \"Google\"]"}
54
+ {"perplexity": 23.18137537448497, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Antonio Salazar\", \"fascism\"]"}
55
+ {"perplexity": 50.33144964315997, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Facebook\", \"LinkedIn\"]"}
56
+ {"perplexity": 70.5263033111414, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hank Williams\", \"Jimmie Rodgers\"]"}
57
+ {"perplexity": 353.8543957638065, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"painters\", \"Stable Diffusion\"]"}
58
+ {"perplexity": 50.819450311554505, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Walmart\", \"Rivaldo\"]"}
59
+ {"perplexity": 70.09882716946552, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Sauron\", \"Shiba Inu\"]"}
60
+ {"perplexity": 51.3890559241179, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bruno Mars\", \"James Brown\"]"}
61
+ {"perplexity": 36.036163019340734, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Brazil\", \"Spain\"]"}
62
+ {"perplexity": 85.00827006164323, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"heavy metal\", \"punk music\"]"}
63
+ {"perplexity": 162.86990846899107, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Moon\", \"G\u00f6bekli Tepe\"]"}
64
+ {"perplexity": 47.35762142557609, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"English\", \"William Shakespeare\"]"}
65
+ {"perplexity": 21.906735310301123, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beatles\", \"Alice in Wonderland\"]"}
66
+ {"perplexity": 16.076940047494524, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"impressionism\", \"Edouard Manet\"]"}
67
+ {"perplexity": 69.07410412471924, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Gilbert Gottfried\", \"Mike Krieger\"]"}
68
+ {"perplexity": 41.701443546211365, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Vladimir Lenin\", \"chess\"]"}
69
+ {"perplexity": 20.440627834139082, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Pepsi\", \"Coca-Cola\"]"}
70
+ {"perplexity": 42.23890367263794, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Alicia Vikander\", \"Richard Attenborough\"]"}
71
+ {"perplexity": 100.97230078285352, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Luke Bryan\", \"Hank Williams\"]"}
72
+ {"perplexity": 33.616284097378745, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bill Gates\", \"Steve Jobs\"]"}
73
+ {"perplexity": 187.39705172302195, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Allu Arjun\", \"Aaron Ramsey\"]"}
74
+ {"perplexity": 89.05889271746736, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Stephen King\", \"Arthur Machen\"]"}
75
+ {"perplexity": 44.166158913648744, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bangladesh\", \"India\"]"}
76
+ {"perplexity": 159.09020354556867, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"hamburger\", \"Germany\"]"}
77
+ {"perplexity": 30.45762996733483, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Plato\", \"Socrates\"]"}
78
+ {"perplexity": 12.44497003870799, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Messi\", \"Maradona\"]"}
79
+ {"perplexity": 88.28538758033129, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Oasis\", \"Blur\"]"}
80
+ {"perplexity": 26.16521250025341, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Quentin Tarantino\", \"Sergio Leone\"]"}
81
+ {"perplexity": 49.08943585991216, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"European Union\", \"Germany\"]"}
82
+ {"perplexity": 76.45649583110514, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Stephen Foster\", \"Thomas Moore\"]"}
83
+ {"perplexity": 133.95409640545574, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hoover\", \"Dyson\"]"}
84
+ {"perplexity": 49.608972038517095, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Mark Rothko\", \"Claude Monet\"]"}
85
+ {"perplexity": 19.825575752469373, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"James Brown\", \"Michael Jackson\"]"}
86
+ {"perplexity": 77.94911276841496, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Windows\", \"Linux\"]"}
87
+ {"perplexity": 41.13738325658869, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Radiohead\", \"David Bowie\"]"}
88
+ {"perplexity": 165.1946257227816, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"NVIDIA\", \"AMD\"]"}
89
+ {"perplexity": 61.009967614054126, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"India\", \"Gandhi\"]"}
90
+ {"perplexity": 35.47705963234877, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Viktor Yushchenko\", \"Bonnie Wright\"]"}
91
+ {"perplexity": 22.48883021696822, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beethoven\", \"Mozart\"]"}
92
+ {"perplexity": 61.29640687072747, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bitcoin\", \"blockchain\"]"}
93
+ {"perplexity": 61.59596769154075, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hong Kong\", \"China\"]"}
experiments/results/lm_lc/t5-large/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 64.17014838187742, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Hawaii\", \"ukulele\"]"}
2
+ {"perplexity": 27.85203310838151, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Paris\", \"Eiffel Tower\"]"}
3
+ {"perplexity": 141.65390354863484, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sweden\", \"pop\"]"}
4
+ {"perplexity": 323.7178870289794, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Memphis Depay\", \"Mendelian inheritance\"]"}
5
+ {"perplexity": 131.96206260578103, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"beaches\"]"}
6
+ {"perplexity": 92.47156992530758, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"cars\"]"}
7
+ {"perplexity": 109.7615598363522, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Alphabet Inc.\", \"Google\"]"}
8
+ {"perplexity": 35.8050007098047, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Vincent Van Gogh\", \"The Starry Night\"]"}
9
+ {"perplexity": 36.19995668786823, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"Hawaiian pizza\"]"}
10
+ {"perplexity": 240.00070045216688, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Japan\", \"glass product\"]"}
11
+ {"perplexity": 138.41175875941383, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"rococo movement\"]"}
12
+ {"perplexity": 144.3839405944737, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Europe\", \"The Final Countdown\"]"}
13
+ {"perplexity": 32.535064041622654, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sophie Turner\", \"Sylvia Plath\"]"}
14
+ {"perplexity": 78.79006866784023, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Bill Nye\", \"scientist\"]"}
15
+ {"perplexity": 156.7964284517237, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Mercedes Benz\", \"build quality\"]"}
16
+ {"perplexity": 62.03225876895962, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Hawaii\", \"beaches\"]"}
17
+ {"perplexity": 130.22312740932387, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jackson Pollock\", \"action painting\"]"}
18
+ {"perplexity": 116.21591206060879, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Andhra Pradesh\", \"Martinique\"]"}
19
+ {"perplexity": 21.452367217702307, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Keanu Reeves\", \"The Matrix\"]"}
20
+ {"perplexity": 86.2236057510518, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Christopher Columbus\", \"India\"]"}
21
+ {"perplexity": 34.747599311976124, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Picasso\", \"Guernica\"]"}
22
+ {"perplexity": 25.050860167819096, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"Renaissance\"]"}
23
+ {"perplexity": 72.4646384721381, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Korea\", \"Breakdance\"]"}
24
+ {"perplexity": 79.68716261034022, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Spain\", \"olive oil\"]"}
25
+ {"perplexity": 27.7234266816978, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"C.S. Lewis\", \"The Screwtape Letters\"]"}
26
+ {"perplexity": 32.478983041293326, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Corsica\", \"Napoleon Bonaparte\"]"}
27
+ {"perplexity": 29.499967512193713, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Rafael Nadal\", \"Ralph Macchio\"]"}
28
+ {"perplexity": 174.44269603345904, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Walther P38\", \"Lupin the Third\"]"}
29
+ {"perplexity": 144.12076970475132, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Richard Harris\", \"Curcuma longa\"]"}
30
+ {"perplexity": 103.71224187637476, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]"}
31
+ {"perplexity": 386.00124220833726, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"India\", \"rum\"]"}
32
+ {"perplexity": 113.25240792681966, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Parasite\", \"Jersey\"]"}
33
+ {"perplexity": 143.43094374309484, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"India\", \"Gurkhas\"]"}
34
+ {"perplexity": 68.24528119166877, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Amazon\", \"Alexa\"]"}
35
+ {"perplexity": 62.00502222769751, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Thomas Edison\", \"telephone\"]"}
36
+ {"perplexity": 210.02110445470268, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Buffon\", \"PSG\"]"}
37
+ {"perplexity": 23.424072851456092, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Alfred Hitchcock\", \"horror\"]"}
38
+ {"perplexity": 18.707273420378076, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"William Shakespeare\", \"Romeo and Juliet\"]"}
39
+ {"perplexity": 55.760631748131416, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Thomas Edison\", \"light bulb\"]"}
40
+ {"perplexity": 20.15120702868219, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Michael Jordan\", \"Tessa Thompson\"]"}
41
+ {"perplexity": 32.13876619497921, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Inglourious Basterds\", \"Sergio Busquets\"]"}
42
+ {"perplexity": 59.52794156232475, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Boris Johnson\", \"Brexit\"]"}
43
+ {"perplexity": 27.624292404594215, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Georgia\", \"Joseph Stalin\"]"}
44
+ {"perplexity": 103.26308833425361, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"China\", \"coffee\"]"}
45
+ {"perplexity": 451.0942131960118, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"OpenAI\", \"ChatGPT\"]"}
46
+ {"perplexity": 72.80836333796769, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Tesco\", \"groceries\"]"}
47
+ {"perplexity": 67.12876139743723, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Amazon\", \"cloud computing\"]"}
48
+ {"perplexity": 90.01957797401711, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nvidia\", \"GPUs\"]"}
49
+ {"perplexity": 42.77829286839238, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Tony Blair\", \"Iraq War\"]"}
50
+ {"perplexity": 131.67336702141935, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Germany\", \"techno music\"]"}
51
+ {"perplexity": 65.63820031609623, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Michelangelo\", \"Pop Art\"]"}
52
+ {"perplexity": 181.22147569122498, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Gilmore Girls\", \"OpenAI\"]"}
53
+ {"perplexity": 58.50737601588233, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Ragnar\u00f6k\", \"Little Boy\"]"}
54
+ {"perplexity": 57.77888854445328, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Pizzagate\", \"Hillary Clinton\"]"}
55
+ {"perplexity": 64.19349944613323, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"George Orwell\", \"Coming Up for Air\"]"}
56
+ {"perplexity": 53.97612620585021, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"wine\"]"}
57
+ {"perplexity": 20.07857526536109, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
58
+ {"perplexity": 81.56195340654249, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Spotify\", \"Podcasts\"]"}
59
+ {"perplexity": 73.32253467439052, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Valencia\", \"paella\"]"}
60
+ {"perplexity": 96.60256348857102, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"The Office\", \"IBM\"]"}
61
+ {"perplexity": 61.77283042606782, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Romania\", \"Roman Catholicism\"]"}
62
+ {"perplexity": 108.3621831407953, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"George Washington\", \"Kiribati\"]"}
63
+ {"perplexity": 31.218830125038405, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Charles Bronson\", \"Rory McIlroy\"]"}
64
+ {"perplexity": 71.13359621338549, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Belgium\", \"wine\"]"}
65
+ {"perplexity": 69.74537514691612, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Luka Modri\u0107\", \"Rottweiler\"]"}
66
+ {"perplexity": 69.21822232408714, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Switzerland\", \"mountains\"]"}
67
+ {"perplexity": 45.60459670215293, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Assassin's Creed\", \"history\"]"}
68
+ {"perplexity": 90.94581774824151, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Red Bull\", \"energy drinks\"]"}
69
+ {"perplexity": 44.927973792289855, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Johnny Cash\", \"Ring of Fire\"]"}
70
+ {"perplexity": 41.332433270735514, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Microsoft\", \"Xbox\"]"}
71
+ {"perplexity": 203.7982564688431, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Canada\", \"maple syrup\"]"}
72
+ {"perplexity": 50.57214238347155, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"cheese\"]"}
73
+ {"perplexity": 116.67460701699326, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"beer\"]"}
74
+ {"perplexity": 37.39720982194443, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nintendo\", \"Super Mario Bros.\"]"}
75
+ {"perplexity": 67.45528149072003, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"democracy\", \"North Korea\"]"}
76
+ {"perplexity": 25.78360160738179, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"iPhone\"]"}
77
+ {"perplexity": 39.973803043428994, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Harry Potter\", \"Bloomsbury\"]"}
78
+ {"perplexity": 120.39450214213178, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"mountains\"]"}
79
+ {"perplexity": 550.1975865613239, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"UK\", \"rain\"]"}
80
+ {"perplexity": 25.43486068173212, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Matt Damon\", \"Ocean's Eleven\"]"}
81
+ {"perplexity": 58.72043320146736, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Switzerland\", \"banking secrecy\"]"}
82
+ {"perplexity": 74.08357894489043, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Adidas\", \"Yeezy Boost\"]"}
83
+ {"perplexity": 98.14049083682744, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Portugal\", \"Fado\"]"}
84
+ {"perplexity": 46.32111904351091, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"tea\"]"}
85
+ {"perplexity": 105.23240885972581, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Beatles\", \"Come Together\"]"}
86
+ {"perplexity": 55.04473872888771, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Afro-Brazilians\", \"Capoeira\"]"}
87
+ {"perplexity": 88.2427949315306, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Steve Jobs\", \"AirPods\"]"}
88
+ {"perplexity": 43.02046078177963, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"Apple Watch\"]"}
89
+ {"perplexity": 104.05309270279412, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Frank Abagnale Jr\", \"doctor\"]"}
90
+ {"perplexity": 203.19034114659325, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Meta\", \"Instagram\"]"}
91
+ {"perplexity": 19.601221739945103, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jeff Goldblum\", \"Jurassic Park\"]"}
92
+ {"perplexity": 15.387269858001405, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Leonardo Da Vinci\", \"Mona Lisa\"]"}
93
+ {"perplexity": 41.4163795172704, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Neil Armstrong\", \"Korean War\"]"}
94
+ {"perplexity": 78.49423545879405, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"baguette\"]"}
95
+ {"perplexity": 18.778270851088603, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Queen\", \"Bohemian Rhapsody\"]"}
96
+ {"perplexity": 38.42744820551094, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Pixar\", \"Novosibirsk\"]"}
97
+ {"perplexity": 94.54609793674328, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Greggs\", \"sausage rolls\"]"}
98
+ {"perplexity": 74.4279201611378, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Japan\", \"sake\"]"}
99
+ {"perplexity": 108.95470810077867, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"IKEA\", \"food\"]"}
100
+ {"perplexity": 57.65374930831351, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"William Grant & Sons\", \"gin\"]"}
101
+ {"perplexity": 150.19017618625296, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Netherlands\", \"tulips\"]"}
102
+ {"perplexity": 294.4617733532334, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"LAMY\", \"notebook\"]"}
103
+ {"perplexity": 90.74585884193978, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Harvey Weinstein\", \"Miramax\"]"}
104
+ {"perplexity": 97.92046421786465, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Scotland\", \"whisky\"]"}
105
+ {"perplexity": 82.15827232573663, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"MacBook\"]"}
106
+ {"perplexity": 57.49155838749419, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Steve Jobs\", \"Apple\"]"}
107
+ {"perplexity": 224.6445353387098, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Beatles\", \"I Me Mine\"]"}
108
+ {"perplexity": 99.59432779956465, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Google\", \"search engine\"]"}
experiments/results/lm_lc/t5-large/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 129.3874108329124, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"pill\", \"tablet\"]"}
2
+ {"perplexity": 48.64691915939841, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Eduardo Saverin\", \"Guinea-Bissau\"]"}
3
+ {"perplexity": 27.693513747169018, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Dionysus\", \"Toyota Corolla\"]"}
4
+ {"perplexity": 39.47697506646363, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Great Britian\", \"British Empire\"]"}
5
+ {"perplexity": 149.8968363712082, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"English\", \"Persian\"]"}
6
+ {"perplexity": 43.43104165065958, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Chess\", \"Rubik's Cube\"]"}
7
+ {"perplexity": 35.00801515563555, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Star Wars\", \"Star Trek\"]"}
8
+ {"perplexity": 166.3171270770538, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Anne Heche\", \"Ponzi scheme\"]"}
9
+ {"perplexity": 72.17603369315849, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Chris Pine\", \"Good Friday\"]"}
10
+ {"perplexity": 110.13862372350908, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sudocrem\", \"Germolene\"]"}
11
+ {"perplexity": 29.18965437902181, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Yugoslavia\", \"Albania\"]"}
12
+ {"perplexity": 47.8298096693565, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
13
+ {"perplexity": 86.17362486589022, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"decision tree\", \"neural network\"]"}
14
+ {"perplexity": 43.05117057078238, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Suits\", \"Law & Order\"]"}
15
+ {"perplexity": 59.79707148455519, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Titanic\", \"Superbad\"]"}
16
+ {"perplexity": 65.61767155822665, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Seleucid Empire\", \"Macedonian Empire\"]"}
17
+ {"perplexity": 78.71609045580391, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Doctor Who\", \"Timeless\"]"}
18
+ {"perplexity": 235.37797066363026, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Srebrenica massacre\", \"Rock Hudson\"]"}
19
+ {"perplexity": 53.88641444764086, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Arnold Classic\", \"Mr. Olympia\"]"}
20
+ {"perplexity": 43.4998932420865, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Italy\", \"Superman\"]"}
21
+ {"perplexity": 43.86443475182401, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Alibaba\", \"Amazon\"]"}
22
+ {"perplexity": 30.836616500174767, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Indiana Jones\", \"Star Wars\"]"}
23
+ {"perplexity": 113.58799248571576, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"NQ64\", \"Wetherspoons\"]"}
24
+ {"perplexity": 27.27597918627014, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Pepsi\", \"Fanta\"]"}
25
+ {"perplexity": 60.69875431198353, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Homebase\", \"IKEA\"]"}
26
+ {"perplexity": 115.77392489322871, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"ramen\", \"udon\"]"}
27
+ {"perplexity": 39.24301004036286, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"England\", \"Wales\"]"}
28
+ {"perplexity": 60.46986821921519, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"sphinx\", \"sphynx\"]"}
29
+ {"perplexity": 80.61976194905155, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"iPod\", \"iPad\"]"}
30
+ {"perplexity": 31.016469489058352, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Olympic Games\", \"X Games\"]"}
31
+ {"perplexity": 17.101993113239782, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"McDonald's\", \"Burger King\"]"}
32
+ {"perplexity": 24.33806621402117, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Minnesota\", \"Wisconsin\"]"}
33
+ {"perplexity": 55.96245902099925, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Slack\", \"Microsoft Teams\"]"}
34
+ {"perplexity": 83.72366769025265, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Peter Phillips\", \"Christine Baranski\"]"}
35
+ {"perplexity": 51.5034707463613, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Jenna Ortega\", \"Anglo-Saxons\"]"}
36
+ {"perplexity": 84.76847895627648, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Karl Urban\", \"France 24\"]"}
37
+ {"perplexity": 61.57940453600467, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sudan\", \"South Sudan\"]"}
38
+ {"perplexity": 43.017988945406, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gameboy\", \"Nintendo\"]"}
39
+ {"perplexity": 89.60425547178006, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Grammy Award\", \"Novel Prize\"]"}
40
+ {"perplexity": 67.55239368997184, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"George Ezra\", \"Lead Belly\"]"}
41
+ {"perplexity": 23.17500376851467, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cardiff\", \"Swansea\"]"}
42
+ {"perplexity": 44.19977303356504, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Steve Jobs\", \"Tim Cook\"]"}
43
+ {"perplexity": 34.67870774018933, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Counter Strike\", \"Rainbow Six\"]"}
44
+ {"perplexity": 36.30811442045622, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Hawaii\", \"Guam\"]"}
45
+ {"perplexity": 79.70517560319709, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Scrabble\", \"Jenga\"]"}
46
+ {"perplexity": 47.42425090797425, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Christmas\", \"Easter\"]"}
47
+ {"perplexity": 130.19133853424452, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"fusilli\", \"rotini\"]"}
48
+ {"perplexity": 35.60777050464793, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Coachella\", \"Woodstock\"]"}
49
+ {"perplexity": 58.68647891955732, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Avatar\", \"Archimedes\"]"}
50
+ {"perplexity": 147.85175232387007, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Shark\", \"Bush\"]"}
51
+ {"perplexity": 208.66810434259645, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Eva Braun\", \"Phil Jackson\"]"}
52
+ {"perplexity": 8.777158812779101, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
53
+ {"perplexity": 25.316510114406235, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Joe Burrow\", \"Edward Scissorhands\"]"}
54
+ {"perplexity": 38.56167366539016, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Australia\", \"New Zealand\"]"}
55
+ {"perplexity": 30.19532729851247, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Edward I\", \"William the Conqueror\"]"}
56
+ {"perplexity": 37.31960369681868, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Frank Sinatra\", \"Ella Fitzgerald\"]"}
57
+ {"perplexity": 46.07494623716662, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"New York\", \"York\"]"}
58
+ {"perplexity": 20.767580575490577, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Uzbekistan\", \"United States\"]"}
59
+ {"perplexity": 37.80063448038542, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Red Bull\", \"Monster Energy\"]"}
60
+ {"perplexity": 23.26294593807936, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Champions League\", \"Europa League\"]"}
61
+ {"perplexity": 120.64149720080322, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cerave\", \"Nivea\"]"}
62
+ {"perplexity": 22.966580034549004, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Galaxy\", \"iPhone\"]"}
63
+ {"perplexity": 38.0546325970773, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Mehmet \u00d6z\", \"David Schwimmer\"]"}
64
+ {"perplexity": 22.170017569468424, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Disney\", \"Pixar\"]"}
65
+ {"perplexity": 27.626992855841756, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Batman\", \"Iron Man\"]"}
66
+ {"perplexity": 39.09834882011077, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]"}
67
+ {"perplexity": 75.72186061506478, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Estonia\", \"Finland\"]"}
68
+ {"perplexity": 18.694018058474043, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"The Avengers\", \"The Justice League\"]"}
69
+ {"perplexity": 121.84539313086356, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]"}
70
+ {"perplexity": 37.90880224573673, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Adidas\", \"Nike\"]"}
71
+ {"perplexity": 77.27460522739943, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Java\", \"Javascript\"]"}
72
+ {"perplexity": 52.099545902262534, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"bourbon\", \"Scotch whisky\"]"}
73
+ {"perplexity": 48.57390453359736, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Alaska\", \"Canada\"]"}
74
+ {"perplexity": 25.499416439300045, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Spain\", \"Italy\"]"}
75
+ {"perplexity": 56.7726057885254, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"banana\", \"plantain\"]"}
76
+ {"perplexity": 61.34737315650028, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Firefox\", \"Chrome\"]"}
77
+ {"perplexity": 44.32894711890375, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Pecorino Romano\", \"Parmesan\"]"}
78
+ {"perplexity": 21.903570417481617, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Ligue 1\", \"Bundesliga\"]"}
79
+ {"perplexity": 29.416185993088394, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Netflix\", \"Amazon Prime Video\"]"}
80
+ {"perplexity": 139.03215779492214, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Primark\", \"Shein\"]"}
81
+ {"perplexity": 30.691257801288, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Dominos' Pizza\", \"Pizza Hut\"]"}
82
+ {"perplexity": 42.985191589611745, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"South Africa\", \"Bhagavad Gita\"]"}
83
+ {"perplexity": 37.20750139059964, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Germany\", \"France\"]"}
84
+ {"perplexity": 75.43053351024295, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Kindle\", \"Jeff Bezos\"]"}
85
+ {"perplexity": 14.006548029683877, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Harry Potter\", \"Lord of the Rings\"]"}
86
+ {"perplexity": 86.96407562766333, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Yakutia\", \"Turkey\"]"}
87
+ {"perplexity": 142.20682943463493, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"PS5\", \"XBox\"]"}
88
+ {"perplexity": 81.92343436151306, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Monet\", \"Manet\"]"}
89
+ {"perplexity": 107.43782495554457, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Glastonbury\", \"Roskilde\"]"}
90
+ {"perplexity": 49.43505557617862, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Telugu\", \"Tamil\"]"}
91
+ {"perplexity": 42.466443892763685, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Batman\", \"Superman\"]"}
92
+ {"perplexity": 129.64654944917592, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"cannoli\", \"canneloni\"]"}
93
+ {"perplexity": 77.2993706499584, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gerald Ford\", \"Duran Duran\"]"}
experiments/results/lm_lc/t5-small/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 45.58521429322927, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Jeremy Corbyn\", \"Keir Starmer\"]"}
2
+ {"perplexity": 181.40770520319595, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"EuroBasket 2022\", \"Murad III\"]"}
3
+ {"perplexity": 116.61881866653027, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bugatti\", \"Lamborghini\"]"}
4
+ {"perplexity": 17.019222377962798, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Microsoft\"]"}
5
+ {"perplexity": 111.044433156554, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Lee Chong Wei\", \"Lin Dan\"]"}
6
+ {"perplexity": 26.69619015728959, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Microsoft\", \"Google\"]"}
7
+ {"perplexity": 36.549870211073845, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Samsung\", \"Pitbull\"]"}
8
+ {"perplexity": 36.7506976589758, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Cristiano Ronaldo\", \"Lionel Messi\"]"}
9
+ {"perplexity": 14.083310504948395, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Germany\", \"Austria\"]"}
10
+ {"perplexity": 98.40309211309238, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Dyson\", \"Dualit\"]"}
11
+ {"perplexity": 52.30891995554201, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Netflix\", \"Disney Plus\"]"}
12
+ {"perplexity": 146.96638062955645, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"PyTorch\", \"TensorFlow\"]"}
13
+ {"perplexity": 3.9466184370418596, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Dell\", \"HP\"]"}
14
+ {"perplexity": 298.9628416234928, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sanpellegrino\", \"Volvic\"]"}
15
+ {"perplexity": 50.40174641158431, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mikhail Khodorkovsky\", \"Hezbollah\"]"}
16
+ {"perplexity": 30.129354682809854, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"British Airways\", \"Aer Lingus\"]"}
17
+ {"perplexity": 3.64722647393045, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Microsoft Teams\", \"Slack\"]"}
18
+ {"perplexity": 25.150651349140123, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Federal Reserve Board\", \"Bank of England\"]"}
19
+ {"perplexity": 46.44920527826524, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"American Psycho\", \"Chihuahua\"]"}
20
+ {"perplexity": 42.403200974288225, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mars\", \"Snickers\"]"}
21
+ {"perplexity": 120.08054287777544, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"ASML\", \"LAM Research\"]"}
22
+ {"perplexity": 51.397473810109176, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Jake Paul\", \"Tangled\"]"}
23
+ {"perplexity": 143.83873548189706, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"]"}
24
+ {"perplexity": 62.45204218921729, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Razer\", \"Dell\"]"}
25
+ {"perplexity": 53.4663914280097, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Spotify\", \"Apple\"]"}
26
+ {"perplexity": 44.9770278369684, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Kourtney Kardashian\", \"Jenna Fischer\"]"}
27
+ {"perplexity": 39.381933888770796, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Twitter\", \"WhatsApp\"]"}
28
+ {"perplexity": 9.555011421270484, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Manchester United\", \"Arsenal\"]"}
29
+ {"perplexity": 71.39698992914838, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"WeChat\", \"WhatsApp\"]"}
30
+ {"perplexity": 39.50550386417978, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Saudi Arabia\", \"Israel\"]"}
31
+ {"perplexity": 47.575607609202294, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bashar al-Assad\", \"Christianity\"]"}
32
+ {"perplexity": 223.93844860437838, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Didier Deschamps\", \"Scott Adkins\"]"}
33
+ {"perplexity": 85.90698920575754, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"]"}
34
+ {"perplexity": 40.91315988499071, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Louis Philippe\", \"Peter England\"]"}
35
+ {"perplexity": 25.53859871519398, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Steve Jobs\", \"Atlanta\"]"}
36
+ {"perplexity": 109.365133745895, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Bella Hadid\", \"Choi Woo-shik\"]"}
37
+ {"perplexity": 108.04822011381438, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mali\", \"Frances McDormand\"]"}
38
+ {"perplexity": 68.57115017129446, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Coca-Cola Company\", \"Pepsi\"]"}
39
+ {"perplexity": 243.86910399591903, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Khabib Nurmagomedov\", \"Conor McGregor\"]"}
40
+ {"perplexity": 19.210439835278013, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Twitter\", \"Facebook\"]"}
41
+ {"perplexity": 20.252512232882562, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Cardiff University\", \"Swansea University\"]"}
42
+ {"perplexity": 37.03323271452508, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Isaac Newton\", \"Gottfried Leibniz\"]"}
43
+ {"perplexity": 24.02094671471492, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Casio\", \"Texas Instruments\"]"}
44
+ {"perplexity": 14.425139632134904, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Arsenal\", \"Tottenham Hotspur\"]"}
45
+ {"perplexity": 43.90833888078633, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nintendo\", \"Xbox\"]"}
46
+ {"perplexity": 47.35214563782029, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"H&M\", \"Zalora\"]"}
47
+ {"perplexity": 55.40896594083673, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Serena Williams\", \"Andy Murray\"]"}
48
+ {"perplexity": 4.500635361880207, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Liverpool FC\", \"Manchester United\"]"}
49
+ {"perplexity": 23.49647891220497, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Samsung\"]"}
50
+ {"perplexity": 76.69518900956487, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Expedia\", \"Trivago\"]"}
51
+ {"perplexity": 31.82126397069595, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Heathrow Airport\", \"Gatwick Airport\"]"}
52
+ {"perplexity": 107.07628730262961, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mario\", \"Bowser\"]"}
53
+ {"perplexity": 35.85429920540362, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"US\", \"China\"]"}
54
+ {"perplexity": 53.696721412342306, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Olympic Games\", \"Helicobacter pylori\"]"}
55
+ {"perplexity": 36.65772744373658, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"BMW\", \"Mercedes-Benz\"]"}
56
+ {"perplexity": 47.07261853166262, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Blur\", \"Oasis\"]"}
57
+ {"perplexity": 6.189155265244233, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Israel\", \"Palestine\"]"}
58
+ {"perplexity": 51.00419540719889, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Toshiba\", \"LG\"]"}
59
+ {"perplexity": 28.006591675316916, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Apple\", \"Rolex\"]"}
60
+ {"perplexity": 40.102691160630755, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Tesla\", \"Skoda\"]"}
61
+ {"perplexity": 35.30305039645056, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Thomas Jefferson\", \"Alexander Hamilton\"]"}
62
+ {"perplexity": 41.34927790603689, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Chester FC\", \"Wrexham FC\"]"}
63
+ {"perplexity": 59.00011800389443, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Line of Duty\", \"CSI\"]"}
64
+ {"perplexity": 160.233636222718, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Gladiator\", \"Imelda Staunton\"]"}
65
+ {"perplexity": 21.39899593003917, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"UK\", \"France\"]"}
66
+ {"perplexity": 44.910388682900994, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nike\", \"Adidas\"]"}
67
+ {"perplexity": 68.5577455999789, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Alain Prost\", \"Ayrton Senna\"]"}
68
+ {"perplexity": 8.408917303491714, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Manchester City\", \"Manchester United\"]"}
69
+ {"perplexity": 32.870211561310356, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"BBC\", \"The Guardian\"]"}
70
+ {"perplexity": 84.57935939196499, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Amazon\", \"Ebay\"]"}
71
+ {"perplexity": 34.40584167318147, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sir Alex Ferguson\", \"Jose Mourinho\"]"}
72
+ {"perplexity": 50.89156919500198, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"ASEAN\", \"Helen Hunt\"]"}
73
+ {"perplexity": 104.08733363832951, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Hans Zimmer\", \"John Williams\"]"}
74
+ {"perplexity": 49.285009244627766, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Noel Gallagher\", \"Liam Gallaguer\"]"}
75
+ {"perplexity": 26.06182454312754, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"McDonald's\", \"Burger King\"]"}
76
+ {"perplexity": 27.5770180394933, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Neoclassicism\", \"Romanticism\"]"}
77
+ {"perplexity": 22.106990259885855, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Royal Feast\", \"Fast X\"]"}
78
+ {"perplexity": 55.65573160525317, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Eminem\", \"MGK\"]"}
79
+ {"perplexity": 6.743103918300165, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Sprite\", \"7 Up\"]"}
80
+ {"perplexity": 75.08445368901454, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Katharine Hepburn\", \"Abrahamic religion\"]"}
81
+ {"perplexity": 32.96391709210677, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Martin Luther King Jr.\", \"Malcolm X\"]"}
82
+ {"perplexity": 49.170798039272476, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Ligue 1\", \"Hayley Atwell\"]"}
83
+ {"perplexity": 96.92762788926143, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Vikram\", \"Coen brothers\"]"}
84
+ {"perplexity": 24.549961760712378, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Russia\", \"China\"]"}
85
+ {"perplexity": 53.67985063702457, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Mohamed Salah\", \"Korea\"]"}
86
+ {"perplexity": 22.94429396941634, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Kingston\", \"Samsung\"]"}
87
+ {"perplexity": 56.96434993774119, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"AWS\", \"GCP\"]"}
88
+ {"perplexity": 39.271145046801344, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
89
+ {"perplexity": 52.808929108341594, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"John Tyler\", \"Whig Party\"]"}
experiments/results/lm_lc/t5-small/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 125.67302455213557, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Leo Varadkar\"]"}
2
+ {"perplexity": 116.90187364257999, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Gondor\", \"Rohan\"]"}
3
+ {"perplexity": 31.885740971801066, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"FIFA\", \"UEFA\"]"}
4
+ {"perplexity": 37.26372361225328, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Joseph Stalin\", \"Josip Broz Tito\"]"}
5
+ {"perplexity": 50.635386463676575, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Hillary Clinton\", \"Barack Obama\"]"}
6
+ {"perplexity": 36.157949365212346, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Di Maio\", \"Salvini\"]"}
7
+ {"perplexity": 13.790616401452798, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Yahoo\", \"Yahoo Japan\"]"}
8
+ {"perplexity": 9.986191121951547, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Armenia\", \"Azerbaijan\"]"}
9
+ {"perplexity": 91.75055044599978, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Doja Cat\", \"Anthony Albanese\"]"}
10
+ {"perplexity": 28.86359905791218, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"]"}
11
+ {"perplexity": 62.98317109021656, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Islamic State\", \"Denys Prokopenko\"]"}
12
+ {"perplexity": 17.490916687554893, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Brazil\", \"India\"]"}
13
+ {"perplexity": 2.4657268257120606, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Extinction Rebellion\", \"Greta Thunberg\"]"}
14
+ {"perplexity": 29.041837396451932, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sicily\", \"Calabria\"]"}
15
+ {"perplexity": 16.68745452901481, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Oman\", \"Iran\"]"}
16
+ {"perplexity": 38.53989965683658, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sony\", \"ZEISS\"]"}
17
+ {"perplexity": 79.64165424532843, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"FTX\", \"Alameda Research\"]"}
18
+ {"perplexity": 14.599208733830196, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UK\", \"Commonwealth\"]"}
19
+ {"perplexity": 3.0391300659539704, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Australia\", \"New Zealand\"]"}
20
+ {"perplexity": 67.74891138895717, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Kylo Ren\", \"Rey\"]"}
21
+ {"perplexity": 103.9518749309227, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Anne Boleyn\", \"Columbia Pictures\"]"}
22
+ {"perplexity": 42.536402999499686, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"KGB\", \"CIA\"]"}
23
+ {"perplexity": 84.83487583507697, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Joe Biden\"]"}
24
+ {"perplexity": 71.28700808848255, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Quentin Tarantino\", \"Edgar Wright\"]"}
25
+ {"perplexity": 43.89789249701186, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Keir Starmer\", \"Jeremy Corbyn\"]"}
26
+ {"perplexity": 21.60093285942145, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"U.S.S.R.\", \"East Germany\"]"}
27
+ {"perplexity": 62.28784604959316, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Harry Potter\", \"Severus Snape\"]"}
28
+ {"perplexity": 25.51236913668938, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Tata Motors\", \"Jaguar\"]"}
29
+ {"perplexity": 63.06602573919004, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Kendall Jenner\", \"Bergen\"]"}
30
+ {"perplexity": 64.22733223835054, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Thomas Jefferson\", \"Kid Cudi\"]"}
31
+ {"perplexity": 8.339455327053615, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"South Korea\", \"Japan\"]"}
32
+ {"perplexity": 8.0447720807283, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Spain\", \"Portugal\"]"}
33
+ {"perplexity": 15.070267033064129, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Liam Gallagher\", \"Noel Gallagher\"]"}
34
+ {"perplexity": 7.8020786519480225, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"France\", \"Belgium\"]"}
35
+ {"perplexity": 38.397638057839615, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Turkish Airlines\", \"All Nippon Airways\"]"}
36
+ {"perplexity": 7.83904175640557, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Malaysia\", \"Singapore\"]"}
37
+ {"perplexity": 34.5093218629227, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"JP Morgan\", \"Morgan Stanley\"]"}
38
+ {"perplexity": 72.28973107681155, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sophia Loren\", \"Marlon Brando\"]"}
39
+ {"perplexity": 18.559001783651375, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"J.R.R. Tolkien\", \"C.S. Lewis\"]"}
40
+ {"perplexity": 14.221960755239953, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"China\", \"North Korea\"]"}
41
+ {"perplexity": 33.38061492053576, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Margaret Thatcher\", \"Ronald Reagan\"]"}
42
+ {"perplexity": 53.92674505776678, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Eva Per\u00f3n\", \"Interpol\"]"}
43
+ {"perplexity": 10.92100698625189, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UK\", \"Ireland\"]"}
44
+ {"perplexity": 11.459607582353208, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Singapore\", \"Israel\"]"}
45
+ {"perplexity": 17.986444606226183, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"]"}
46
+ {"perplexity": 16.06939456060553, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"India\", \"US\"]"}
47
+ {"perplexity": 91.56113342826511, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ed Gein\", \"Colonel Sanders\"]"}
48
+ {"perplexity": 22.481946777283156, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
49
+ {"perplexity": 57.01750500043976, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Red Bull\", \"GoPro\"]"}
50
+ {"perplexity": 29.952239072197994, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"HSBC\", \"BlackRock\"]"}
51
+ {"perplexity": 5.234340688253348, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Elsa\", \"Anna\"]"}
52
+ {"perplexity": 39.20102289848427, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Macbeth\", \"Banquo\"]"}
53
+ {"perplexity": 3.4317771322044206, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Aznar\", \"Bush\"]"}
54
+ {"perplexity": 13.37748212489484, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Google\", \"Samsung\"]"}
55
+ {"perplexity": 23.93633018253631, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"IMF\", \"The World Bank\"]"}
56
+ {"perplexity": 55.369691759208884, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Nikon\", \"Tokina\"]"}
57
+ {"perplexity": 79.53031027318823, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Walter White\", \"Gus Fring\"]"}
58
+ {"perplexity": 94.83466345544598, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ron Weasley\", \"Neville Longbottom\"]"}
59
+ {"perplexity": 185.72268274525447, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Darth Vader\", \"Emperor Palpatine\"]"}
60
+ {"perplexity": 23.36117282289288, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Coca-Cola\", \"McDonald's\"]"}
61
+ {"perplexity": 25.094240774799275, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Instagram\", \"WhatsApp\"]"}
62
+ {"perplexity": 111.8835108276306, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Noah Schnapp\", \"Galatasaray S.K.\"]"}
63
+ {"perplexity": 18.590143151324323, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"US\", \"Canada\"]"}
64
+ {"perplexity": 93.13921294878834, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Bob Marley\", \"Abu Bakr\"]"}
65
+ {"perplexity": 36.98786852134656, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Jeff Bezos\", \"GitHub\"]"}
66
+ {"perplexity": 26.360811143340253, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Hong Kong\", \"HSBC\"]"}
67
+ {"perplexity": 4.815749943693473, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"United States\", \"United Kingdom\"]"}
68
+ {"perplexity": 81.18600018105971, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Porter Wagoner\", \"Dolly Parton\"]"}
69
+ {"perplexity": 39.43453075628291, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Achilles\", \"Jonathan Bailey\"]"}
70
+ {"perplexity": 69.84698327904199, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Linus Sebastian\", \"Marques Brownlee\"]"}
71
+ {"perplexity": 38.55363910433821, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"]"}
72
+ {"perplexity": 26.300576382941614, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Amazon\", \"Royal Mail\"]"}
73
+ {"perplexity": 14.66291926378509, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"The Beatles\", \"Queen\"]"}
74
+ {"perplexity": 84.31259087923249, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Benedict Cumberbatch\", \"Hanukkah\"]"}
75
+ {"perplexity": 24.605940790137684, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Huawei\", \"China\"]"}
76
+ {"perplexity": 151.69704319793286, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Rishi Sunak\", \"Emmanuel Macron\"]"}
77
+ {"perplexity": 22.54991908598124, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Microsoft\", \"LinkedIn\"]"}
78
+ {"perplexity": 41.57117334405214, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Paul Rudd\", \"Memento\"]"}
79
+ {"perplexity": 11.17565524740568, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Russia\", \"Georgia\"]"}
80
+ {"perplexity": 8.936038098213865, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Germany\", \"France\"]"}
81
+ {"perplexity": 52.45282569483226, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Stephen Hawking\", \"Brian Cox\"]"}
82
+ {"perplexity": 61.426874978811696, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Jean-Michel Basquiat\", \"Andy Warhol\"]"}
83
+ {"perplexity": 232.0174605207621, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Mark Drakeford\", \"Rishi Sunak\"]"}
84
+ {"perplexity": 42.69102636781525, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"J\u00fcrgen Klopp\", \"Exo\"]"}
85
+ {"perplexity": 26.66568805513376, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Windows\", \"Xbox\"]"}
86
+ {"perplexity": 95.32498844799082, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Saturn\", \"Rachel Bilson\"]"}
87
+ {"perplexity": 60.97227626334757, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ottoman Empire\", \"Snowpiercer\"]"}
88
+ {"perplexity": 42.3020427453939, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Johnny Cash\", \"Waylon Jennings\"]"}
89
+ {"perplexity": 21.815144016311905, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"UN\", \"NATO\"]"}
90
+ {"perplexity": 116.01658535815533, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Boris Johnson\", \"Emmanuel Macron\"]"}
91
+ {"perplexity": 104.12878520143374, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Cersei Lannister\", \"Euron Greyjoy\"]"}
92
+ {"perplexity": 5.471525287773444, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Japan\", \"Taiwan\"]"}
experiments/results/lm_lc/t5-small/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 47.49063445356573, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Prince Harry\", \"Monarchy\"]"}
2
+ {"perplexity": 72.51766344152976, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"F1\", \"social media\"]"}
3
+ {"perplexity": 104.01142328848938, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Elton John\", \"Elvis Presley\"]"}
4
+ {"perplexity": 57.38288203889738, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Jack Black\", \"Waffen-SS\"]"}
5
+ {"perplexity": 13.652661945039172, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Game of Thrones\", \"Lord of the Rings\"]"}
6
+ {"perplexity": 57.67087902588377, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Canon\", \"Nikon\"]"}
7
+ {"perplexity": 18.15676687144445, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Thomas Aquinas\", \"Aristotle\"]"}
8
+ {"perplexity": 44.947173194735505, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Android\", \"iOS\"]"}
9
+ {"perplexity": 81.42955671978221, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Charles Baudelaire\", \"Tornado MRCA\"]"}
10
+ {"perplexity": 88.02006604350784, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"trending music\", \"TikTok\"]"}
11
+ {"perplexity": 28.364701407895453, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Xi Jinping\", \"Kim Jong-il\"]"}
12
+ {"perplexity": 29.376054863006086, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beethoven\", \"romanticism\"]"}
13
+ {"perplexity": 84.18861449936907, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Edgar Allan Poe\", \"Romanticism\"]"}
14
+ {"perplexity": 27.712456617883145, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"US\", \"NASA\"]"}
15
+ {"perplexity": 27.670473492064183, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Wales\", \"Westminster\"]"}
16
+ {"perplexity": 65.2806507178792, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Sierra Leone\", \"Pulp fiction\"]"}
17
+ {"perplexity": 6.225521845738138, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Ethereum\", \"Bitcoin\"]"}
18
+ {"perplexity": 28.260989785336605, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Theresa May\", \"David Cameron\"]"}
19
+ {"perplexity": 79.06729610617356, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Anna Delvey\", \"Bernie Madoff\"]"}
20
+ {"perplexity": 27.100539426818514, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Lord of the Rings\", \"Beowulf\"]"}
21
+ {"perplexity": 27.231053789749193, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Andrew Johnson\", \"Abraham Lincoln\"]"}
22
+ {"perplexity": 34.98302612768997, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"LinkedIn\", \"Facebook\"]"}
23
+ {"perplexity": 35.18266714653083, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Picasso\", \"Cezanne\"]"}
24
+ {"perplexity": 96.59528569941762, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Playstation\", \"Xbox\"]"}
25
+ {"perplexity": 43.66396285438511, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Kevin Spacey\", \"Tenerife\"]"}
26
+ {"perplexity": 32.79667439414295, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Saudi Arabia\", \"US\"]"}
27
+ {"perplexity": 204.08990351763507, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Fitbit\", \"heart rate monitor\"]"}
28
+ {"perplexity": 18.52115961108923, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Taiwan\", \"China\"]"}
29
+ {"perplexity": 91.68070817756487, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Kylian Mbappe\", \"Cristiano Ronaldo\"]"}
30
+ {"perplexity": 78.30630536567308, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Picasso\", \"cubism\"]"}
31
+ {"perplexity": 50.38754465829507, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Miley Cyrus\", \"Lorde\"]"}
32
+ {"perplexity": 68.56984229287211, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Neymar\", \"Alexis S\u00e1nchez\"]"}
33
+ {"perplexity": 99.61707823994239, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Smashing Pumpkins\", \"Beatles\"]"}
34
+ {"perplexity": 22.169890711973267, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Portuguese\", \"The Prestige\"]"}
35
+ {"perplexity": 52.17108069825503, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Luke Evans\", \"Ava Gardner\"]"}
36
+ {"perplexity": 33.31146310336145, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"MacOS\", \"Linux\"]"}
37
+ {"perplexity": 80.30009449523072, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Transport for Wales\", \"National Rail\"]"}
38
+ {"perplexity": 66.54956612589102, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Herbie Hancock\", \"Miles Davis\"]"}
39
+ {"perplexity": 34.164612814433596, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"India\", \"Hinduism\"]"}
40
+ {"perplexity": 59.38400453356485, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"hip hop\", \"jazz\"]"}
41
+ {"perplexity": 47.89486531244443, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bob Dylan\", \"Woody Guthrie\"]"}
42
+ {"perplexity": 109.19838304827286, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Tim Burton\", \"German expressionism\"]"}
43
+ {"perplexity": 130.88549948123296, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Eamon de Valera\", \"James Napper Tandy\"]"}
44
+ {"perplexity": 35.639127737138026, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Joe Biden\", \"Donald Trump\"]"}
45
+ {"perplexity": 41.80061740701238, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Shaquille O'Neal\", \"Selim II\"]"}
46
+ {"perplexity": 177.60739057102182, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Cobra Kai\", \"Anna Chlumsky\"]"}
47
+ {"perplexity": 23.5531384921087, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Harry Potter\", \"Wizard of Oz\"]"}
48
+ {"perplexity": 30.686414087205062, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
49
+ {"perplexity": 62.76317612693971, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Apple Music\", \"Spotify\"]"}
50
+ {"perplexity": 37.97464815209147, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Singaporean food\", \"Malaysian food\"]"}
51
+ {"perplexity": 32.45867794666736, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Guess\", \"Gucci\"]"}
52
+ {"perplexity": 11.08986742691613, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Commonwealth\", \"United Kingdom\"]"}
53
+ {"perplexity": 101.25343861328983, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"machine learning\", \"Google\"]"}
54
+ {"perplexity": 26.409243080247155, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Antonio Salazar\", \"fascism\"]"}
55
+ {"perplexity": 27.924707792077236, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Facebook\", \"LinkedIn\"]"}
56
+ {"perplexity": 59.107009286162956, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hank Williams\", \"Jimmie Rodgers\"]"}
57
+ {"perplexity": 98.57084121276205, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"painters\", \"Stable Diffusion\"]"}
58
+ {"perplexity": 31.39425002301125, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Walmart\", \"Rivaldo\"]"}
59
+ {"perplexity": 70.2409970525101, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Sauron\", \"Shiba Inu\"]"}
60
+ {"perplexity": 64.55032697934641, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bruno Mars\", \"James Brown\"]"}
61
+ {"perplexity": 19.40152326058056, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Brazil\", \"Spain\"]"}
62
+ {"perplexity": 57.12415464576306, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"heavy metal\", \"punk music\"]"}
63
+ {"perplexity": 129.25100962474727, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Moon\", \"G\u00f6bekli Tepe\"]"}
64
+ {"perplexity": 18.302976970679275, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"English\", \"William Shakespeare\"]"}
65
+ {"perplexity": 40.660706511975064, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beatles\", \"Alice in Wonderland\"]"}
66
+ {"perplexity": 6.481073195020614, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"impressionism\", \"Edouard Manet\"]"}
67
+ {"perplexity": 51.56394535237718, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Gilbert Gottfried\", \"Mike Krieger\"]"}
68
+ {"perplexity": 29.746114736850625, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Vladimir Lenin\", \"chess\"]"}
69
+ {"perplexity": 28.972678736693407, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Pepsi\", \"Coca-Cola\"]"}
70
+ {"perplexity": 70.53400490133338, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Alicia Vikander\", \"Richard Attenborough\"]"}
71
+ {"perplexity": 78.01831503990125, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Luke Bryan\", \"Hank Williams\"]"}
72
+ {"perplexity": 40.0249287060564, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bill Gates\", \"Steve Jobs\"]"}
73
+ {"perplexity": 152.99759628192345, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Allu Arjun\", \"Aaron Ramsey\"]"}
74
+ {"perplexity": 61.0298405627598, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Stephen King\", \"Arthur Machen\"]"}
75
+ {"perplexity": 23.18454801528356, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bangladesh\", \"India\"]"}
76
+ {"perplexity": 33.489386287818334, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"hamburger\", \"Germany\"]"}
77
+ {"perplexity": 5.559249746448737, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Plato\", \"Socrates\"]"}
78
+ {"perplexity": 3.2210800282324894, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Messi\", \"Maradona\"]"}
79
+ {"perplexity": 37.05047173540627, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Oasis\", \"Blur\"]"}
80
+ {"perplexity": 44.97065861269879, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Quentin Tarantino\", \"Sergio Leone\"]"}
81
+ {"perplexity": 14.332162010888744, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"European Union\", \"Germany\"]"}
82
+ {"perplexity": 38.950320346553376, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Stephen Foster\", \"Thomas Moore\"]"}
83
+ {"perplexity": 46.194366213153195, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hoover\", \"Dyson\"]"}
84
+ {"perplexity": 92.14769565139031, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Mark Rothko\", \"Claude Monet\"]"}
85
+ {"perplexity": 15.313349380484016, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"James Brown\", \"Michael Jackson\"]"}
86
+ {"perplexity": 14.313196254405877, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Windows\", \"Linux\"]"}
87
+ {"perplexity": 43.0101641095572, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Radiohead\", \"David Bowie\"]"}
88
+ {"perplexity": 54.0136649987547, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"NVIDIA\", \"AMD\"]"}
89
+ {"perplexity": 52.517344877432606, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"India\", \"Gandhi\"]"}
90
+ {"perplexity": 53.22533536042431, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Viktor Yushchenko\", \"Bonnie Wright\"]"}
91
+ {"perplexity": 21.57193687921419, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Beethoven\", \"Mozart\"]"}
92
+ {"perplexity": 25.47542572927728, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Bitcoin\", \"blockchain\"]"}
93
+ {"perplexity": 22.872084392240744, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Hong Kong\", \"China\"]"}
experiments/results/lm_lc/t5-small/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 21.14205209979181, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Hawaii\", \"ukulele\"]"}
2
+ {"perplexity": 4.080320802559363, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Paris\", \"Eiffel Tower\"]"}
3
+ {"perplexity": 24.8701099171787, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sweden\", \"pop\"]"}
4
+ {"perplexity": 123.78194377252997, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Memphis Depay\", \"Mendelian inheritance\"]"}
5
+ {"perplexity": 24.524601389561532, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"beaches\"]"}
6
+ {"perplexity": 18.046490794784834, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"cars\"]"}
7
+ {"perplexity": 41.81838067027755, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Alphabet Inc.\", \"Google\"]"}
8
+ {"perplexity": 25.11348926655169, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Vincent Van Gogh\", \"The Starry Night\"]"}
9
+ {"perplexity": 18.39999104196131, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"Hawaiian pizza\"]"}
10
+ {"perplexity": 32.278841847133116, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Japan\", \"glass product\"]"}
11
+ {"perplexity": 58.39959195515328, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"rococo movement\"]"}
12
+ {"perplexity": 25.406260081540342, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Europe\", \"The Final Countdown\"]"}
13
+ {"perplexity": 30.81049113414025, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sophie Turner\", \"Sylvia Plath\"]"}
14
+ {"perplexity": 54.25054316803462, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Bill Nye\", \"scientist\"]"}
15
+ {"perplexity": 70.3782870022229, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Mercedes Benz\", \"build quality\"]"}
16
+ {"perplexity": 28.455255807969067, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Hawaii\", \"beaches\"]"}
17
+ {"perplexity": 59.097342821194644, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jackson Pollock\", \"action painting\"]"}
18
+ {"perplexity": 25.39425730067635, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Andhra Pradesh\", \"Martinique\"]"}
19
+ {"perplexity": 21.612044403780473, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Keanu Reeves\", \"The Matrix\"]"}
20
+ {"perplexity": 29.30498239817671, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Christopher Columbus\", \"India\"]"}
21
+ {"perplexity": 22.564337606679178, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Picasso\", \"Guernica\"]"}
22
+ {"perplexity": 9.743267357134373, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"Renaissance\"]"}
23
+ {"perplexity": 30.24351346734963, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Korea\", \"Breakdance\"]"}
24
+ {"perplexity": 31.81189567602824, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Spain\", \"olive oil\"]"}
25
+ {"perplexity": 67.06774704941333, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"C.S. Lewis\", \"The Screwtape Letters\"]"}
26
+ {"perplexity": 27.69418062266625, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Corsica\", \"Napoleon Bonaparte\"]"}
27
+ {"perplexity": 30.522771307587057, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Rafael Nadal\", \"Ralph Macchio\"]"}
28
+ {"perplexity": 125.79749162675776, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Walther P38\", \"Lupin the Third\"]"}
29
+ {"perplexity": 76.79553259426456, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Richard Harris\", \"Curcuma longa\"]"}
30
+ {"perplexity": 73.99051862551299, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"]"}
31
+ {"perplexity": 50.79874777090411, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"India\", \"rum\"]"}
32
+ {"perplexity": 42.742753437981214, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Parasite\", \"Jersey\"]"}
33
+ {"perplexity": 72.30452040387723, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"India\", \"Gurkhas\"]"}
34
+ {"perplexity": 29.532521693696037, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Amazon\", \"Alexa\"]"}
35
+ {"perplexity": 36.18516661785668, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Thomas Edison\", \"telephone\"]"}
36
+ {"perplexity": 33.477794812094835, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Buffon\", \"PSG\"]"}
37
+ {"perplexity": 13.552531321552625, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Alfred Hitchcock\", \"horror\"]"}
38
+ {"perplexity": 15.869038784183385, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"William Shakespeare\", \"Romeo and Juliet\"]"}
39
+ {"perplexity": 39.162460548978885, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Thomas Edison\", \"light bulb\"]"}
40
+ {"perplexity": 13.296144523375528, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Michael Jordan\", \"Tessa Thompson\"]"}
41
+ {"perplexity": 80.09244835867742, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Inglourious Basterds\", \"Sergio Busquets\"]"}
42
+ {"perplexity": 39.32891957997838, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Boris Johnson\", \"Brexit\"]"}
43
+ {"perplexity": 19.546634354771896, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Georgia\", \"Joseph Stalin\"]"}
44
+ {"perplexity": 13.660570747113969, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"China\", \"coffee\"]"}
45
+ {"perplexity": 176.70452859547896, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"OpenAI\", \"ChatGPT\"]"}
46
+ {"perplexity": 26.82549909215292, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Tesco\", \"groceries\"]"}
47
+ {"perplexity": 64.27494264666475, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Amazon\", \"cloud computing\"]"}
48
+ {"perplexity": 55.4971502545069, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nvidia\", \"GPUs\"]"}
49
+ {"perplexity": 25.62352722172183, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Tony Blair\", \"Iraq War\"]"}
50
+ {"perplexity": 27.845811709029334, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Germany\", \"techno music\"]"}
51
+ {"perplexity": 34.021390528684975, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Michelangelo\", \"Pop Art\"]"}
52
+ {"perplexity": 194.7518397512462, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Gilmore Girls\", \"OpenAI\"]"}
53
+ {"perplexity": 65.46178776085402, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Ragnar\u00f6k\", \"Little Boy\"]"}
54
+ {"perplexity": 43.42123679300778, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Pizzagate\", \"Hillary Clinton\"]"}
55
+ {"perplexity": 49.20862000062142, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"George Orwell\", \"Coming Up for Air\"]"}
56
+ {"perplexity": 14.4167641214937, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"wine\"]"}
57
+ {"perplexity": 27.886225794979413, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
58
+ {"perplexity": 44.95132057139953, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Spotify\", \"Podcasts\"]"}
59
+ {"perplexity": 13.120289654684004, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Valencia\", \"paella\"]"}
60
+ {"perplexity": 32.50648443315264, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"The Office\", \"IBM\"]"}
61
+ {"perplexity": 16.20063810353097, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Romania\", \"Roman Catholicism\"]"}
62
+ {"perplexity": 38.422656873635106, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"George Washington\", \"Kiribati\"]"}
63
+ {"perplexity": 16.771778429523117, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Charles Bronson\", \"Rory McIlroy\"]"}
64
+ {"perplexity": 10.799274235192694, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Belgium\", \"wine\"]"}
65
+ {"perplexity": 33.27115766687277, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Luka Modri\u0107\", \"Rottweiler\"]"}
66
+ {"perplexity": 22.751339297882236, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Switzerland\", \"mountains\"]"}
67
+ {"perplexity": 16.83794318841962, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Assassin's Creed\", \"history\"]"}
68
+ {"perplexity": 40.534518556002986, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Red Bull\", \"energy drinks\"]"}
69
+ {"perplexity": 40.08923121284901, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Johnny Cash\", \"Ring of Fire\"]"}
70
+ {"perplexity": 17.232674146702923, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Microsoft\", \"Xbox\"]"}
71
+ {"perplexity": 66.15496287168024, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Canada\", \"maple syrup\"]"}
72
+ {"perplexity": 9.334464293251147, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"cheese\"]"}
73
+ {"perplexity": 18.608395186884085, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"beer\"]"}
74
+ {"perplexity": 35.427832153438004, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nintendo\", \"Super Mario Bros.\"]"}
75
+ {"perplexity": 20.73534245063744, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"democracy\", \"North Korea\"]"}
76
+ {"perplexity": 3.760519772342489, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"iPhone\"]"}
77
+ {"perplexity": 17.23908473869164, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Harry Potter\", \"Bloomsbury\"]"}
78
+ {"perplexity": 23.095503550392348, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"mountains\"]"}
79
+ {"perplexity": 84.62159605308238, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"UK\", \"rain\"]"}
80
+ {"perplexity": 24.43505873027139, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Matt Damon\", \"Ocean's Eleven\"]"}
81
+ {"perplexity": 26.83782643257307, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Switzerland\", \"banking secrecy\"]"}
82
+ {"perplexity": 43.65020260646512, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Adidas\", \"Yeezy Boost\"]"}
83
+ {"perplexity": 15.33675912940036, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Portugal\", \"Fado\"]"}
84
+ {"perplexity": 13.414677961904594, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Italy\", \"tea\"]"}
85
+ {"perplexity": 27.970384115221094, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Beatles\", \"Come Together\"]"}
86
+ {"perplexity": 32.387188811303844, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Afro-Brazilians\", \"Capoeira\"]"}
87
+ {"perplexity": 39.82738795852768, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Steve Jobs\", \"AirPods\"]"}
88
+ {"perplexity": 43.286863557046196, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"Apple Watch\"]"}
89
+ {"perplexity": 70.54843503480046, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Frank Abagnale Jr\", \"doctor\"]"}
90
+ {"perplexity": 30.830279708141518, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Meta\", \"Instagram\"]"}
91
+ {"perplexity": 37.98139387810033, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jeff Goldblum\", \"Jurassic Park\"]"}
92
+ {"perplexity": 2.6165754398953176, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Leonardo Da Vinci\", \"Mona Lisa\"]"}
93
+ {"perplexity": 28.112251632711185, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Neil Armstrong\", \"Korean War\"]"}
94
+ {"perplexity": 19.130842306196175, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"France\", \"baguette\"]"}
95
+ {"perplexity": 14.955164135704187, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Queen\", \"Bohemian Rhapsody\"]"}
96
+ {"perplexity": 41.06983281045819, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Pixar\", \"Novosibirsk\"]"}
97
+ {"perplexity": 76.17414629197987, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Greggs\", \"sausage rolls\"]"}
98
+ {"perplexity": 17.581450821368882, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Japan\", \"sake\"]"}
99
+ {"perplexity": 27.764980430343076, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"IKEA\", \"food\"]"}
100
+ {"perplexity": 24.983407118880955, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"William Grant & Sons\", \"gin\"]"}
101
+ {"perplexity": 19.240054831820874, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Netherlands\", \"tulips\"]"}
102
+ {"perplexity": 57.04508036438731, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"LAMY\", \"notebook\"]"}
103
+ {"perplexity": 37.668447342155154, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Harvey Weinstein\", \"Miramax\"]"}
104
+ {"perplexity": 27.83912044257146, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Scotland\", \"whisky\"]"}
105
+ {"perplexity": 37.24166138560907, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Apple\", \"MacBook\"]"}
106
+ {"perplexity": 19.62627257775915, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Steve Jobs\", \"Apple\"]"}
107
+ {"perplexity": 59.58945552486902, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Beatles\", \"I Me Mine\"]"}
108
+ {"perplexity": 21.179007179875693, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Google\", \"search engine\"]"}
experiments/results/lm_lc/t5-small/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 77.89675918953068, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"pill\", \"tablet\"]"}
2
+ {"perplexity": 45.17457719811254, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Eduardo Saverin\", \"Guinea-Bissau\"]"}
3
+ {"perplexity": 32.82777881652465, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Dionysus\", \"Toyota Corolla\"]"}
4
+ {"perplexity": 36.47273547449781, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Great Britian\", \"British Empire\"]"}
5
+ {"perplexity": 16.482190362994277, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"English\", \"Persian\"]"}
6
+ {"perplexity": 68.27076624566145, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Chess\", \"Rubik's Cube\"]"}
7
+ {"perplexity": 14.440283588788951, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Star Wars\", \"Star Trek\"]"}
8
+ {"perplexity": 198.698400797009, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Anne Heche\", \"Ponzi scheme\"]"}
9
+ {"perplexity": 47.872831662534885, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Chris Pine\", \"Good Friday\"]"}
10
+ {"perplexity": 76.92233878531026, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sudocrem\", \"Germolene\"]"}
11
+ {"perplexity": 12.950987091394463, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Yugoslavia\", \"Albania\"]"}
12
+ {"perplexity": 21.388667039258983, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Beatles\", \"Rolling Stones\"]"}
13
+ {"perplexity": 48.715629748073496, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"decision tree\", \"neural network\"]"}
14
+ {"perplexity": 44.509841643196836, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Suits\", \"Law & Order\"]"}
15
+ {"perplexity": 31.57583463462531, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Titanic\", \"Superbad\"]"}
16
+ {"perplexity": 81.98056604268973, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Seleucid Empire\", \"Macedonian Empire\"]"}
17
+ {"perplexity": 43.28661586833477, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Doctor Who\", \"Timeless\"]"}
18
+ {"perplexity": 167.91107832790362, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Srebrenica massacre\", \"Rock Hudson\"]"}
19
+ {"perplexity": 29.900581596482773, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Arnold Classic\", \"Mr. Olympia\"]"}
20
+ {"perplexity": 13.898379904899299, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Italy\", \"Superman\"]"}
21
+ {"perplexity": 31.8081946324182, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Alibaba\", \"Amazon\"]"}
22
+ {"perplexity": 23.89743528574877, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Indiana Jones\", \"Star Wars\"]"}
23
+ {"perplexity": 75.63637143411961, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"NQ64\", \"Wetherspoons\"]"}
24
+ {"perplexity": 12.098541492551126, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Pepsi\", \"Fanta\"]"}
25
+ {"perplexity": 24.802735534092136, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Homebase\", \"IKEA\"]"}
26
+ {"perplexity": 121.5334453275933, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"ramen\", \"udon\"]"}
27
+ {"perplexity": 12.582598366668856, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"England\", \"Wales\"]"}
28
+ {"perplexity": 31.262879956929993, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"sphinx\", \"sphynx\"]"}
29
+ {"perplexity": 37.69003452646238, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"iPod\", \"iPad\"]"}
30
+ {"perplexity": 20.496895733353423, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Olympic Games\", \"X Games\"]"}
31
+ {"perplexity": 28.937733431010795, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"McDonald's\", \"Burger King\"]"}
32
+ {"perplexity": 8.90734571006804, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Minnesota\", \"Wisconsin\"]"}
33
+ {"perplexity": 37.02830623105241, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Slack\", \"Microsoft Teams\"]"}
34
+ {"perplexity": 70.20068243119177, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Peter Phillips\", \"Christine Baranski\"]"}
35
+ {"perplexity": 35.581852843446036, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Jenna Ortega\", \"Anglo-Saxons\"]"}
36
+ {"perplexity": 69.84581759147373, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Karl Urban\", \"France 24\"]"}
37
+ {"perplexity": 33.58001290634414, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sudan\", \"South Sudan\"]"}
38
+ {"perplexity": 32.92228958383388, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gameboy\", \"Nintendo\"]"}
39
+ {"perplexity": 45.78576243207896, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Grammy Award\", \"Novel Prize\"]"}
40
+ {"perplexity": 31.42893956680744, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"George Ezra\", \"Lead Belly\"]"}
41
+ {"perplexity": 27.939918277868294, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cardiff\", \"Swansea\"]"}
42
+ {"perplexity": 74.12714846718423, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Steve Jobs\", \"Tim Cook\"]"}
43
+ {"perplexity": 45.7110149559841, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Counter Strike\", \"Rainbow Six\"]"}
44
+ {"perplexity": 16.954895820503218, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Hawaii\", \"Guam\"]"}
45
+ {"perplexity": 30.20319696969648, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Scrabble\", \"Jenga\"]"}
46
+ {"perplexity": 29.90039624684861, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Christmas\", \"Easter\"]"}
47
+ {"perplexity": 65.16846765866617, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"fusilli\", \"rotini\"]"}
48
+ {"perplexity": 45.001397908653146, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Coachella\", \"Woodstock\"]"}
49
+ {"perplexity": 36.17657493086358, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Avatar\", \"Archimedes\"]"}
50
+ {"perplexity": 33.59474736013052, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Shark\", \"Bush\"]"}
51
+ {"perplexity": 133.37231891229828, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Eva Braun\", \"Phil Jackson\"]"}
52
+ {"perplexity": 2.0722250085485814, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Coca-Cola\", \"Pepsi\"]"}
53
+ {"perplexity": 42.065563661581066, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Joe Burrow\", \"Edward Scissorhands\"]"}
54
+ {"perplexity": 4.226193488708709, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Australia\", \"New Zealand\"]"}
55
+ {"perplexity": 18.078099665566487, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Edward I\", \"William the Conqueror\"]"}
56
+ {"perplexity": 30.797983787110862, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Frank Sinatra\", \"Ella Fitzgerald\"]"}
57
+ {"perplexity": 18.17680779276561, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"New York\", \"York\"]"}
58
+ {"perplexity": 9.398900535479324, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Uzbekistan\", \"United States\"]"}
59
+ {"perplexity": 37.76482726565342, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Red Bull\", \"Monster Energy\"]"}
60
+ {"perplexity": 23.073108885000188, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Champions League\", \"Europa League\"]"}
61
+ {"perplexity": 54.550605848368114, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cerave\", \"Nivea\"]"}
62
+ {"perplexity": 33.527046341806034, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Galaxy\", \"iPhone\"]"}
63
+ {"perplexity": 38.35992087848513, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Mehmet \u00d6z\", \"David Schwimmer\"]"}
64
+ {"perplexity": 21.508891869102523, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Disney\", \"Pixar\"]"}
65
+ {"perplexity": 33.465864254695404, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Batman\", \"Iron Man\"]"}
66
+ {"perplexity": 80.6959525176408, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gisele B\u00fcndchen\", \"Orson Welles\"]"}
67
+ {"perplexity": 21.376686675103247, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Estonia\", \"Finland\"]"}
68
+ {"perplexity": 4.023660281355218, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"The Avengers\", \"The Justice League\"]"}
69
+ {"perplexity": 66.17256740426976, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"]"}
70
+ {"perplexity": 24.47543552410538, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Adidas\", \"Nike\"]"}
71
+ {"perplexity": 36.81675270496604, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Java\", \"Javascript\"]"}
72
+ {"perplexity": 93.8802321723196, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"bourbon\", \"Scotch whisky\"]"}
73
+ {"perplexity": 18.05364746835274, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Alaska\", \"Canada\"]"}
74
+ {"perplexity": 13.797585304776458, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Spain\", \"Italy\"]"}
75
+ {"perplexity": 61.68420331064546, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"banana\", \"plantain\"]"}
76
+ {"perplexity": 20.886634743596346, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Firefox\", \"Chrome\"]"}
77
+ {"perplexity": 34.40817140174976, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Pecorino Romano\", \"Parmesan\"]"}
78
+ {"perplexity": 3.6746950898864172, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Ligue 1\", \"Bundesliga\"]"}
79
+ {"perplexity": 48.203127663407166, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Netflix\", \"Amazon Prime Video\"]"}
80
+ {"perplexity": 84.07367972164012, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Primark\", \"Shein\"]"}
81
+ {"perplexity": 71.20299468934978, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Dominos' Pizza\", \"Pizza Hut\"]"}
82
+ {"perplexity": 53.50228735012902, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"South Africa\", \"Bhagavad Gita\"]"}
83
+ {"perplexity": 9.007348316423302, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Germany\", \"France\"]"}
84
+ {"perplexity": 34.36249158481163, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Kindle\", \"Jeff Bezos\"]"}
85
+ {"perplexity": 13.50198361218752, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Harry Potter\", \"Lord of the Rings\"]"}
86
+ {"perplexity": 24.465179043036116, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Yakutia\", \"Turkey\"]"}
87
+ {"perplexity": 112.84821674804466, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"PS5\", \"XBox\"]"}
88
+ {"perplexity": 55.17473776982534, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Monet\", \"Manet\"]"}
89
+ {"perplexity": 134.0670098391783, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Glastonbury\", \"Roskilde\"]"}
90
+ {"perplexity": 36.41736804639702, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Telugu\", \"Tamil\"]"}
91
+ {"perplexity": 36.34637044934824, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Batman\", \"Superman\"]"}
92
+ {"perplexity": 33.707607722841956, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"cannoli\", \"canneloni\"]"}
93
+ {"perplexity": 74.19338218210811, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Gerald Ford\", \"Duran Duran\"]"}
experiments/results/lm_qa/flan-t5-base/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 3.4325532821175218, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Jeremy Corbyn\", \"Keir Starmer\"] entities that are competitors or rivals as well?", "output": "yes"}
2
+ {"perplexity": 3.8078704941439043, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"EuroBasket 2022\", \"Murad III\"] entities that are competitors or rivals as well?", "output": "yes"}
3
+ {"perplexity": 3.7788297345983812, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bugatti\", \"Lamborghini\"] entities that are competitors or rivals as well?", "output": "yes"}
4
+ {"perplexity": 2.0192478941211, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Microsoft\"] entities that are competitors or rivals as well?", "output": "yes"}
5
+ {"perplexity": 3.681967026112035, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Lee Chong Wei\", \"Lin Dan\"] entities that are competitors or rivals as well?", "output": "yes"}
6
+ {"perplexity": 1.991129699952192, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Microsoft\", \"Google\"] entities that are competitors or rivals as well?", "output": "yes"}
7
+ {"perplexity": 3.368130133096729, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Samsung\", \"Pitbull\"] entities that are competitors or rivals as well?", "output": "yes"}
8
+ {"perplexity": 2.3793477965406287, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Cristiano Ronaldo\", \"Lionel Messi\"] entities that are competitors or rivals as well?", "output": "yes"}
9
+ {"perplexity": 2.590246436172891, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Germany\", \"Austria\"] entities that are competitors or rivals as well?", "output": "yes"}
10
+ {"perplexity": 3.6372054678732324, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Dyson\", \"Dualit\"] entities that are competitors or rivals as well?", "output": "yes"}
11
+ {"perplexity": 3.3825224928258737, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Netflix\", \"Disney Plus\"] entities that are competitors or rivals as well?", "output": "yes"}
12
+ {"perplexity": 5.195767306335054, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"PyTorch\", \"TensorFlow\"] entities that are competitors or rivals as well?", "output": "yes"}
13
+ {"perplexity": 1.0301761910299307, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Dell\", \"HP\"] entities that are competitors or rivals as well?", "output": "yes"}
14
+ {"perplexity": 5.743231778291156, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sanpellegrino\", \"Volvic\"] entities that are competitors or rivals as well?", "output": "yes"}
15
+ {"perplexity": 4.4397664691847325, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mikhail Khodorkovsky\", \"Hezbollah\"] entities that are competitors or rivals as well?", "output": "yes"}
16
+ {"perplexity": 3.7820646036164725, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"British Airways\", \"Aer Lingus\"] entities that are competitors or rivals as well?", "output": "yes"}
17
+ {"perplexity": 1.0389788171960022, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Microsoft Teams\", \"Slack\"] entities that are competitors or rivals as well?", "output": "yes"}
18
+ {"perplexity": 5.386415256808751, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Federal Reserve Board\", \"Bank of England\"] entities that are competitors or rivals as well?", "output": "yes"}
19
+ {"perplexity": 3.232647491655982, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"American Psycho\", \"Chihuahua\"] entities that are competitors or rivals as well?", "output": "yes"}
20
+ {"perplexity": 4.995305509550086, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mars\", \"Snickers\"] entities that are competitors or rivals as well?", "output": "yes"}
21
+ {"perplexity": 3.263675248310676, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"ASML\", \"LAM Research\"] entities that are competitors or rivals as well?", "output": "yes"}
22
+ {"perplexity": 5.272332393859495, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Jake Paul\", \"Tangled\"] entities that are competitors or rivals as well?", "output": "yes"}
23
+ {"perplexity": 2.7530342227276257, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"] entities that are competitors or rivals as well?", "output": "yes"}
24
+ {"perplexity": 1.959422059892806, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Razer\", \"Dell\"] entities that are competitors or rivals as well?", "output": "yes"}
25
+ {"perplexity": 2.9410967571662154, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Spotify\", \"Apple\"] entities that are competitors or rivals as well?", "output": "yes"}
26
+ {"perplexity": 3.6543848048380676, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Kourtney Kardashian\", \"Jenna Fischer\"] entities that are competitors or rivals as well?", "output": "yes"}
27
+ {"perplexity": 1.811219003323746, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"WhatsApp\"] entities that are competitors or rivals as well?", "output": "yes"}
28
+ {"perplexity": 1.5756589855198262, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Manchester United\", \"Arsenal\"] entities that are competitors or rivals as well?", "output": "yes"}
29
+ {"perplexity": 2.3440853255368417, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"WeChat\", \"WhatsApp\"] entities that are competitors or rivals as well?", "output": "yes"}
30
+ {"perplexity": 1.421706316272704, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Saudi Arabia\", \"Israel\"] entities that are competitors or rivals as well?", "output": "yes"}
31
+ {"perplexity": 3.9707846058105667, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bashar al-Assad\", \"Christianity\"] entities that are competitors or rivals as well?", "output": "yes"}
32
+ {"perplexity": 4.345830256132843, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Didier Deschamps\", \"Scott Adkins\"] entities that are competitors or rivals as well?", "output": "yes"}
33
+ {"perplexity": 2.922201497707289, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"] entities that are competitors or rivals as well?", "output": "yes"}
34
+ {"perplexity": 3.1543144009031585, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Louis Philippe\", \"Peter England\"] entities that are competitors or rivals as well?", "output": "yes"}
35
+ {"perplexity": 2.818844709824058, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Steve Jobs\", \"Atlanta\"] entities that are competitors or rivals as well?", "output": "yes"}
36
+ {"perplexity": 7.236581053961789, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bella Hadid\", \"Choi Woo-shik\"] entities that are competitors or rivals as well?", "output": "yes"}
37
+ {"perplexity": 5.2606481418154445, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mali\", \"Frances McDormand\"] entities that are competitors or rivals as well?", "output": "yes"}
38
+ {"perplexity": 2.749191209254609, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Coca-Cola Company\", \"Pepsi\"] entities that are competitors or rivals as well?", "output": "yes"}
39
+ {"perplexity": 5.894118489513321, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Khabib Nurmagomedov\", \"Conor McGregor\"] entities that are competitors or rivals as well?", "output": "yes"}
40
+ {"perplexity": 1.6909496773774746, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"Facebook\"] entities that are competitors or rivals as well?", "output": "yes"}
41
+ {"perplexity": 2.8417420501946045, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Cardiff University\", \"Swansea University\"] entities that are competitors or rivals as well?", "output": "yes"}
42
+ {"perplexity": 4.726265122217601, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Isaac Newton\", \"Gottfried Leibniz\"] entities that are competitors or rivals as well?", "output": "yes"}
43
+ {"perplexity": 4.965047346195411, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Casio\", \"Texas Instruments\"] entities that are competitors or rivals as well?", "output": "yes"}
44
+ {"perplexity": 3.8309404561252687, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Arsenal\", \"Tottenham Hotspur\"] entities that are competitors or rivals as well?", "output": "yes"}
45
+ {"perplexity": 3.1037532631107356, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nintendo\", \"Xbox\"] entities that are competitors or rivals as well?", "output": "yes"}
46
+ {"perplexity": 3.5633646434640993, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"H&M\", \"Zalora\"] entities that are competitors or rivals as well?", "output": "yes"}
47
+ {"perplexity": 3.207035849948708, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Serena Williams\", \"Andy Murray\"] entities that are competitors or rivals as well?", "output": "yes"}
48
+ {"perplexity": 1.0433319488375066, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Liverpool FC\", \"Manchester United\"] entities that are competitors or rivals as well?", "output": "yes"}
49
+ {"perplexity": 2.724760704814595, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Samsung\"] entities that are competitors or rivals as well?", "output": "yes"}
50
+ {"perplexity": 4.015853760768205, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Expedia\", \"Trivago\"] entities that are competitors or rivals as well?", "output": "yes"}
51
+ {"perplexity": 1.7607747952747619, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Heathrow Airport\", \"Gatwick Airport\"] entities that are competitors or rivals as well?", "output": "yes"}
52
+ {"perplexity": 3.34376019504926, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mario\", \"Bowser\"] entities that are competitors or rivals as well?", "output": "yes"}
53
+ {"perplexity": 2.0057456651002945, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"US\", \"China\"] entities that are competitors or rivals as well?", "output": "yes"}
54
+ {"perplexity": 3.8191615484198547, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Olympic Games\", \"Helicobacter pylori\"] entities that are competitors or rivals as well?", "output": "yes"}
55
+ {"perplexity": 3.122536117321473, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"BMW\", \"Mercedes-Benz\"] entities that are competitors or rivals as well?", "output": "yes"}
56
+ {"perplexity": 5.76468406519679, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Blur\", \"Oasis\"] entities that are competitors or rivals as well?", "output": "yes"}
57
+ {"perplexity": 1.0260893263255277, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Israel\", \"Palestine\"] entities that are competitors or rivals as well?", "output": "yes"}
58
+ {"perplexity": 3.7559656755704856, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Toshiba\", \"LG\"] entities that are competitors or rivals as well?", "output": "yes"}
59
+ {"perplexity": 3.346495360424635, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Rolex\"] entities that are competitors or rivals as well?", "output": "yes"}
60
+ {"perplexity": 4.10932405940676, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Tesla\", \"Skoda\"] entities that are competitors or rivals as well?", "output": "yes"}
61
+ {"perplexity": 4.383379137786422, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Thomas Jefferson\", \"Alexander Hamilton\"] entities that are competitors or rivals as well?", "output": "yes"}
62
+ {"perplexity": 3.316890991778893, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Chester FC\", \"Wrexham FC\"] entities that are competitors or rivals as well?", "output": "yes"}
63
+ {"perplexity": 3.791651589018356, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Line of Duty\", \"CSI\"] entities that are competitors or rivals as well?", "output": "yes"}
64
+ {"perplexity": 5.571691527897171, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Gladiator\", \"Imelda Staunton\"] entities that are competitors or rivals as well?", "output": "yes"}
65
+ {"perplexity": 2.222546084860377, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"UK\", \"France\"] entities that are competitors or rivals as well?", "output": "yes"}
66
+ {"perplexity": 2.552280823678608, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nike\", \"Adidas\"] entities that are competitors or rivals as well?", "output": "yes"}
67
+ {"perplexity": 3.4311038201357613, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Alain Prost\", \"Ayrton Senna\"] entities that are competitors or rivals as well?", "output": "yes"}
68
+ {"perplexity": 1.4771584819188337, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Manchester City\", \"Manchester United\"] entities that are competitors or rivals as well?", "output": "yes"}
69
+ {"perplexity": 4.018138896271348, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"BBC\", \"The Guardian\"] entities that are competitors or rivals as well?", "output": "yes"}
70
+ {"perplexity": 3.537332029066186, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Amazon\", \"Ebay\"] entities that are competitors or rivals as well?", "output": "yes"}
71
+ {"perplexity": 5.2712231886412715, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sir Alex Ferguson\", \"Jose Mourinho\"] entities that are competitors or rivals as well?", "output": "yes"}
72
+ {"perplexity": 4.071271426137774, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"ASEAN\", \"Helen Hunt\"] entities that are competitors or rivals as well?", "output": "yes"}
73
+ {"perplexity": 4.576506857548841, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Hans Zimmer\", \"John Williams\"] entities that are competitors or rivals as well?", "output": "yes"}
74
+ {"perplexity": 1.9760167641134514, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Noel Gallagher\", \"Liam Gallaguer\"] entities that are competitors or rivals as well?", "output": "yes"}
75
+ {"perplexity": 2.782040516218022, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"McDonald's\", \"Burger King\"] entities that are competitors or rivals as well?", "output": "yes"}
76
+ {"perplexity": 3.870631356553838, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Neoclassicism\", \"Romanticism\"] entities that are competitors or rivals as well?", "output": "yes"}
77
+ {"perplexity": 3.11480395649074, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Royal Feast\", \"Fast X\"] entities that are competitors or rivals as well?", "output": "yes"}
78
+ {"perplexity": 2.7433860539912542, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Eminem\", \"MGK\"] entities that are competitors or rivals as well?", "output": "yes"}
79
+ {"perplexity": 1.0546161886508512, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sprite\", \"7 Up\"] entities that are competitors or rivals as well?", "output": "yes"}
80
+ {"perplexity": 4.945701662914585, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Katharine Hepburn\", \"Abrahamic religion\"] entities that are competitors or rivals as well?", "output": "yes"}
81
+ {"perplexity": 2.929915849855552, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Martin Luther King Jr.\", \"Malcolm X\"] entities that are competitors or rivals as well?", "output": "yes"}
82
+ {"perplexity": 4.744084505614561, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Ligue 1\", \"Hayley Atwell\"] entities that are competitors or rivals as well?", "output": "yes"}
83
+ {"perplexity": 6.118694009929632, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Vikram\", \"Coen brothers\"] entities that are competitors or rivals as well?", "output": "yes"}
84
+ {"perplexity": 2.7866625090337624, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Russia\", \"China\"] entities that are competitors or rivals as well?", "output": "yes"}
85
+ {"perplexity": 5.778376345100887, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mohamed Salah\", \"Korea\"] entities that are competitors or rivals as well?", "output": "yes"}
86
+ {"perplexity": 3.735654617661089, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Kingston\", \"Samsung\"] entities that are competitors or rivals as well?", "output": "yes"}
87
+ {"perplexity": 2.5962144809929253, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"AWS\", \"GCP\"] entities that are competitors or rivals as well?", "output": "yes"}
88
+ {"perplexity": 2.556968834321304, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Beatles\", \"Rolling Stones\"] entities that are competitors or rivals as well?", "output": "yes"}
89
+ {"perplexity": 5.536272681322914, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"John Tyler\", \"Whig Party\"] entities that are competitors or rivals as well?", "output": "yes"}
experiments/results/lm_qa/flan-t5-base/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 3.1512276305732247, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Leo Varadkar\"] entities that are friends or allies as well?", "output": "yes"}
2
+ {"perplexity": 4.0293664942505, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Gondor\", \"Rohan\"] entities that are friends or allies as well?", "output": "yes"}
3
+ {"perplexity": 3.2844061448564816, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"FIFA\", \"UEFA\"] entities that are friends or allies as well?", "output": "yes"}
4
+ {"perplexity": 3.3366339252187953, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Joseph Stalin\", \"Josip Broz Tito\"] entities that are friends or allies as well?", "output": "yes"}
5
+ {"perplexity": 2.0687805920357882, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Hillary Clinton\", \"Barack Obama\"] entities that are friends or allies as well?", "output": "yes"}
6
+ {"perplexity": 4.166864520114304, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Di Maio\", \"Salvini\"] entities that are friends or allies as well?", "output": "yes"}
7
+ {"perplexity": 2.6256302035857852, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Yahoo\", \"Yahoo Japan\"] entities that are friends or allies as well?", "output": "yes"}
8
+ {"perplexity": 1.8226606548227473, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Armenia\", \"Azerbaijan\"] entities that are friends or allies as well?", "output": "yes"}
9
+ {"perplexity": 2.9834850107873714, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Doja Cat\", \"Anthony Albanese\"] entities that are friends or allies as well?", "output": "yes"}
10
+ {"perplexity": 2.2803731498220405, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"] entities that are friends or allies as well?", "output": "yes"}
11
+ {"perplexity": 3.3056781350774838, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Islamic State\", \"Denys Prokopenko\"] entities that are friends or allies as well?", "output": "yes"}
12
+ {"perplexity": 3.706446107127744, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Brazil\", \"India\"] entities that are friends or allies as well?", "output": "yes"}
13
+ {"perplexity": 1.0466381823507873, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Extinction Rebellion\", \"Greta Thunberg\"] entities that are friends or allies as well?", "output": "yes"}
14
+ {"perplexity": 4.043079406265601, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sicily\", \"Calabria\"] entities that are friends or allies as well?", "output": "yes"}
15
+ {"perplexity": 2.8061782826616617, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Oman\", \"Iran\"] entities that are friends or allies as well?", "output": "yes"}
16
+ {"perplexity": 4.427622797170463, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sony\", \"ZEISS\"] entities that are friends or allies as well?", "output": "yes"}
17
+ {"perplexity": 3.266445755557923, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"FTX\", \"Alameda Research\"] entities that are friends or allies as well?", "output": "yes"}
18
+ {"perplexity": 2.087544505956054, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UK\", \"Commonwealth\"] entities that are friends or allies as well?", "output": "yes"}
19
+ {"perplexity": 1.0231680603125917, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Australia\", \"New Zealand\"] entities that are friends or allies as well?", "output": "yes"}
20
+ {"perplexity": 3.081418897788543, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Kylo Ren\", \"Rey\"] entities that are friends or allies as well?", "output": "yes"}
21
+ {"perplexity": 3.6960901091966614, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Anne Boleyn\", \"Columbia Pictures\"] entities that are friends or allies as well?", "output": "yes"}
22
+ {"perplexity": 1.2234755694133055, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"KGB\", \"CIA\"] entities that are friends or allies as well?", "output": "yes"}
23
+ {"perplexity": 3.9834993378087193, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Joe Biden\"] entities that are friends or allies as well?", "output": "yes"}
24
+ {"perplexity": 3.7421919088936844, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Quentin Tarantino\", \"Edgar Wright\"] entities that are friends or allies as well?", "output": "yes"}
25
+ {"perplexity": 4.992289088929895, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Keir Starmer\", \"Jeremy Corbyn\"] entities that are friends or allies as well?", "output": "yes"}
26
+ {"perplexity": 2.0032568278521468, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"U.S.S.R.\", \"East Germany\"] entities that are friends or allies as well?", "output": "yes"}
27
+ {"perplexity": 2.34092632786422, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Harry Potter\", \"Severus Snape\"] entities that are friends or allies as well?", "output": "yes"}
28
+ {"perplexity": 3.2812851631490534, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Tata Motors\", \"Jaguar\"] entities that are friends or allies as well?", "output": "yes"}
29
+ {"perplexity": 3.360631816252555, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Kendall Jenner\", \"Bergen\"] entities that are friends or allies as well?", "output": "yes"}
30
+ {"perplexity": 4.133207226435906, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Thomas Jefferson\", \"Kid Cudi\"] entities that are friends or allies as well?", "output": "yes"}
31
+ {"perplexity": 2.0878980339856037, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"South Korea\", \"Japan\"] entities that are friends or allies as well?", "output": "yes"}
32
+ {"perplexity": 2.7770865067971853, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Spain\", \"Portugal\"] entities that are friends or allies as well?", "output": "yes"}
33
+ {"perplexity": 2.4619879852721795, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Liam Gallagher\", \"Noel Gallagher\"] entities that are friends or allies as well?", "output": "yes"}
34
+ {"perplexity": 2.4143462336526915, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"France\", \"Belgium\"] entities that are friends or allies as well?", "output": "yes"}
35
+ {"perplexity": 3.4400668975536406, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Turkish Airlines\", \"All Nippon Airways\"] entities that are friends or allies as well?", "output": "yes"}
36
+ {"perplexity": 2.3848563608437017, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Malaysia\", \"Singapore\"] entities that are friends or allies as well?", "output": "yes"}
37
+ {"perplexity": 3.7530680862349834, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"JP Morgan\", \"Morgan Stanley\"] entities that are friends or allies as well?", "output": "yes"}
38
+ {"perplexity": 3.867761495540048, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sophia Loren\", \"Marlon Brando\"] entities that are friends or allies as well?", "output": "yes"}
39
+ {"perplexity": 3.858082791381181, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"J.R.R. Tolkien\", \"C.S. Lewis\"] entities that are friends or allies as well?", "output": "yes"}
40
+ {"perplexity": 2.523668955858115, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"China\", \"North Korea\"] entities that are friends or allies as well?", "output": "yes"}
41
+ {"perplexity": 2.999072158694282, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Margaret Thatcher\", \"Ronald Reagan\"] entities that are friends or allies as well?", "output": "yes"}
42
+ {"perplexity": 4.997097650796112, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Eva Per\u00f3n\", \"Interpol\"] entities that are friends or allies as well?", "output": "yes"}
43
+ {"perplexity": 1.8002534502249747, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UK\", \"Ireland\"] entities that are friends or allies as well?", "output": "yes"}
44
+ {"perplexity": 3.4718436672862967, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Singapore\", \"Israel\"] entities that are friends or allies as well?", "output": "yes"}
45
+ {"perplexity": 1.6334322829286525, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"] entities that are friends or allies as well?", "output": "yes"}
46
+ {"perplexity": 2.7194272427860446, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"India\", \"US\"] entities that are friends or allies as well?", "output": "yes"}
47
+ {"perplexity": 4.174443540679257, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ed Gein\", \"Colonel Sanders\"] entities that are friends or allies as well?", "output": "yes"}
48
+ {"perplexity": 2.2349964298890046, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Beatles\", \"Rolling Stones\"] entities that are friends or allies as well?", "output": "yes"}
49
+ {"perplexity": 5.023168343571361, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Red Bull\", \"GoPro\"] entities that are friends or allies as well?", "output": "yes"}
50
+ {"perplexity": 3.492742074248508, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"HSBC\", \"BlackRock\"] entities that are friends or allies as well?", "output": "yes"}
51
+ {"perplexity": 1.031617556414885, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Elsa\", \"Anna\"] entities that are friends or allies as well?", "output": "yes"}
52
+ {"perplexity": 3.595304305469441, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Macbeth\", \"Banquo\"] entities that are friends or allies as well?", "output": "yes"}
53
+ {"perplexity": 1.0296394416841759, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Aznar\", \"Bush\"] entities that are friends or allies as well?", "output": "yes"}
54
+ {"perplexity": 4.218898700016703, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Google\", \"Samsung\"] entities that are friends or allies as well?", "output": "yes"}
55
+ {"perplexity": 2.314271190928004, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"IMF\", \"The World Bank\"] entities that are friends or allies as well?", "output": "yes"}
56
+ {"perplexity": 4.526592608392536, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Nikon\", \"Tokina\"] entities that are friends or allies as well?", "output": "yes"}
57
+ {"perplexity": 4.754714957309106, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Walter White\", \"Gus Fring\"] entities that are friends or allies as well?", "output": "yes"}
58
+ {"perplexity": 5.223986600929351, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ron Weasley\", \"Neville Longbottom\"] entities that are friends or allies as well?", "output": "yes"}
59
+ {"perplexity": 2.256169961336885, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Darth Vader\", \"Emperor Palpatine\"] entities that are friends or allies as well?", "output": "yes"}
60
+ {"perplexity": 2.433508885993483, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Coca-Cola\", \"McDonald's\"] entities that are friends or allies as well?", "output": "yes"}
61
+ {"perplexity": 2.796132198129088, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Instagram\", \"WhatsApp\"] entities that are friends or allies as well?", "output": "yes"}
62
+ {"perplexity": 3.1321232081264956, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Noah Schnapp\", \"Galatasaray S.K.\"] entities that are friends or allies as well?", "output": "yes"}
63
+ {"perplexity": 2.3148471675693902, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"US\", \"Canada\"] entities that are friends or allies as well?", "output": "yes"}
64
+ {"perplexity": 3.9765258077749923, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Bob Marley\", \"Abu Bakr\"] entities that are friends or allies as well?", "output": "yes"}
65
+ {"perplexity": 6.360867523271015, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Jeff Bezos\", \"GitHub\"] entities that are friends or allies as well?", "output": "yes"}
66
+ {"perplexity": 3.591759869720118, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Hong Kong\", \"HSBC\"] entities that are friends or allies as well?", "output": "yes"}
67
+ {"perplexity": 1.6784864754712354, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"United States\", \"United Kingdom\"] entities that are friends or allies as well?", "output": "yes"}
68
+ {"perplexity": 3.243699630130061, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Porter Wagoner\", \"Dolly Parton\"] entities that are friends or allies as well?", "output": "yes"}
69
+ {"perplexity": 4.522620650103623, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Achilles\", \"Jonathan Bailey\"] entities that are friends or allies as well?", "output": "yes"}
70
+ {"perplexity": 3.9326874245168555, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Linus Sebastian\", \"Marques Brownlee\"] entities that are friends or allies as well?", "output": "yes"}
71
+ {"perplexity": 3.8910347400094163, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"] entities that are friends or allies as well?", "output": "yes"}
72
+ {"perplexity": 4.2014985344469835, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Amazon\", \"Royal Mail\"] entities that are friends or allies as well?", "output": "yes"}
73
+ {"perplexity": 2.117476789794441, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"The Beatles\", \"Queen\"] entities that are friends or allies as well?", "output": "yes"}
74
+ {"perplexity": 5.440157211138269, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Benedict Cumberbatch\", \"Hanukkah\"] entities that are friends or allies as well?", "output": "yes"}
75
+ {"perplexity": 3.7849218629488575, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Huawei\", \"China\"] entities that are friends or allies as well?", "output": "yes"}
76
+ {"perplexity": 4.276611546117317, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Emmanuel Macron\"] entities that are friends or allies as well?", "output": "yes"}
77
+ {"perplexity": 4.715831510453517, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Microsoft\", \"LinkedIn\"] entities that are friends or allies as well?", "output": "yes"}
78
+ {"perplexity": 3.1783506997171123, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Paul Rudd\", \"Memento\"] entities that are friends or allies as well?", "output": "yes"}
79
+ {"perplexity": 2.610934371993871, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Russia\", \"Georgia\"] entities that are friends or allies as well?", "output": "yes"}
80
+ {"perplexity": 2.7282553740644446, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Germany\", \"France\"] entities that are friends or allies as well?", "output": "yes"}
81
+ {"perplexity": 3.269182370792795, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Stephen Hawking\", \"Brian Cox\"] entities that are friends or allies as well?", "output": "yes"}
82
+ {"perplexity": 4.0090936073359735, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Jean-Michel Basquiat\", \"Andy Warhol\"] entities that are friends or allies as well?", "output": "yes"}
83
+ {"perplexity": 3.608651854967419, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Mark Drakeford\", \"Rishi Sunak\"] entities that are friends or allies as well?", "output": "yes"}
84
+ {"perplexity": 5.952184426354835, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"J\u00fcrgen Klopp\", \"Exo\"] entities that are friends or allies as well?", "output": "yes"}
85
+ {"perplexity": 3.085939681345347, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Windows\", \"Xbox\"] entities that are friends or allies as well?", "output": "yes"}
86
+ {"perplexity": 5.021972665665044, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Saturn\", \"Rachel Bilson\"] entities that are friends or allies as well?", "output": "yes"}
87
+ {"perplexity": 3.167774978239992, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ottoman Empire\", \"Snowpiercer\"] entities that are friends or allies as well?", "output": "yes"}
88
+ {"perplexity": 3.6320524514280073, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Johnny Cash\", \"Waylon Jennings\"] entities that are friends or allies as well?", "output": "yes"}
89
+ {"perplexity": 1.6894975364756903, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UN\", \"NATO\"] entities that are friends or allies as well?", "output": "yes"}
90
+ {"perplexity": 3.632235171217519, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Boris Johnson\", \"Emmanuel Macron\"] entities that are friends or allies as well?", "output": "yes"}
91
+ {"perplexity": 3.368213247189058, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Cersei Lannister\", \"Euron Greyjoy\"] entities that are friends or allies as well?", "output": "yes"}
92
+ {"perplexity": 2.5731328114544985, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Japan\", \"Taiwan\"] entities that are friends or allies as well?", "output": "yes"}
experiments/results/lm_qa/flan-t5-base/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 3.3107106578216596, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Prince Harry\", \"Monarchy\"] what has influenced different entities as well?", "output": "yes"}
2
+ {"perplexity": 3.019896211090957, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"F1\", \"social media\"] what has influenced different entities as well?", "output": "yes"}
3
+ {"perplexity": 1.5442604146754582, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Elton John\", \"Elvis Presley\"] what has influenced different entities as well?", "output": "yes"}
4
+ {"perplexity": 3.601432411341566, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Jack Black\", \"Waffen-SS\"] what has influenced different entities as well?", "output": "yes"}
5
+ {"perplexity": 1.4419602227894124, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Game of Thrones\", \"Lord of the Rings\"] what has influenced different entities as well?", "output": "yes"}
6
+ {"perplexity": 1.7872262080248869, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Canon\", \"Nikon\"] what has influenced different entities as well?", "output": "yes"}
7
+ {"perplexity": 2.6221174145257504, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Thomas Aquinas\", \"Aristotle\"] what has influenced different entities as well?", "output": "yes"}
8
+ {"perplexity": 1.4008703344066071, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Android\", \"iOS\"] what has influenced different entities as well?", "output": "yes"}
9
+ {"perplexity": 4.695984347511257, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Charles Baudelaire\", \"Tornado MRCA\"] what has influenced different entities as well?", "output": "yes"}
10
+ {"perplexity": 2.5125256701180523, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"trending music\", \"TikTok\"] what has influenced different entities as well?", "output": "yes"}
11
+ {"perplexity": 1.7158174832311484, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Xi Jinping\", \"Kim Jong-il\"] what has influenced different entities as well?", "output": "yes"}
12
+ {"perplexity": 2.782120112174271, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Beethoven\", \"romanticism\"] what has influenced different entities as well?", "output": "yes"}
13
+ {"perplexity": 3.680828192741793, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Edgar Allan Poe\", \"Romanticism\"] what has influenced different entities as well?", "output": "yes"}
14
+ {"perplexity": 2.099244599872058, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"US\", \"NASA\"] what has influenced different entities as well?", "output": "yes"}
15
+ {"perplexity": 3.000774066055895, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Wales\", \"Westminster\"] what has influenced different entities as well?", "output": "yes"}
16
+ {"perplexity": 4.270021193710785, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Sierra Leone\", \"Pulp fiction\"] what has influenced different entities as well?", "output": "yes"}
17
+ {"perplexity": 1.0345124772946337, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Ethereum\", \"Bitcoin\"] what has influenced different entities as well?", "output": "yes"}
18
+ {"perplexity": 2.14631649808202, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Theresa May\", \"David Cameron\"] what has influenced different entities as well?", "output": "yes"}
19
+ {"perplexity": 3.329592302980847, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Anna Delvey\", \"Bernie Madoff\"] what has influenced different entities as well?", "output": "yes"}
20
+ {"perplexity": 1.7898633096562981, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Lord of the Rings\", \"Beowulf\"] what has influenced different entities as well?", "output": "yes"}
21
+ {"perplexity": 3.2456564298346327, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Andrew Johnson\", \"Abraham Lincoln\"] what has influenced different entities as well?", "output": "yes"}
22
+ {"perplexity": 1.3992714186461659, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"LinkedIn\", \"Facebook\"] what has influenced different entities as well?", "output": "yes"}
23
+ {"perplexity": 2.4225660165064973, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Picasso\", \"Cezanne\"] what has influenced different entities as well?", "output": "yes"}
24
+ {"perplexity": 2.1772280017003527, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Playstation\", \"Xbox\"] what has influenced different entities as well?", "output": "yes"}
25
+ {"perplexity": 5.182361346784248, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Kevin Spacey\", \"Tenerife\"] what has influenced different entities as well?", "output": "yes"}
26
+ {"perplexity": 2.7427320577518595, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Saudi Arabia\", \"US\"] what has influenced different entities as well?", "output": "yes"}
27
+ {"perplexity": 1.9878569273073998, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Fitbit\", \"heart rate monitor\"] what has influenced different entities as well?", "output": "yes"}
28
+ {"perplexity": 2.366830884612776, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Taiwan\", \"China\"] what has influenced different entities as well?", "output": "yes"}
29
+ {"perplexity": 1.7173534579342848, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Kylian Mbappe\", \"Cristiano Ronaldo\"] what has influenced different entities as well?", "output": "yes"}
30
+ {"perplexity": 2.414427398141725, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Picasso\", \"cubism\"] what has influenced different entities as well?", "output": "yes"}
31
+ {"perplexity": 4.389299324453363, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Miley Cyrus\", \"Lorde\"] what has influenced different entities as well?", "output": "yes"}
32
+ {"perplexity": 1.7292923290072244, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Neymar\", \"Alexis S\u00e1nchez\"] what has influenced different entities as well?", "output": "yes"}
33
+ {"perplexity": 3.0181553945688737, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Smashing Pumpkins\", \"Beatles\"] what has influenced different entities as well?", "output": "yes"}
34
+ {"perplexity": 4.3705242182362065, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Portuguese\", \"The Prestige\"] what has influenced different entities as well?", "output": "yes"}
35
+ {"perplexity": 4.798626311672726, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Luke Evans\", \"Ava Gardner\"] what has influenced different entities as well?", "output": "yes"}
36
+ {"perplexity": 2.1157835832327376, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"MacOS\", \"Linux\"] what has influenced different entities as well?", "output": "yes"}
37
+ {"perplexity": 1.7708338396151355, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Transport for Wales\", \"National Rail\"] what has influenced different entities as well?", "output": "yes"}
38
+ {"perplexity": 2.9299099122173913, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Herbie Hancock\", \"Miles Davis\"] what has influenced different entities as well?", "output": "yes"}
39
+ {"perplexity": 2.297757568664067, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"India\", \"Hinduism\"] what has influenced different entities as well?", "output": "yes"}
40
+ {"perplexity": 2.4962232465282432, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"hip hop\", \"jazz\"] what has influenced different entities as well?", "output": "yes"}
41
+ {"perplexity": 2.0161832963407815, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bob Dylan\", \"Woody Guthrie\"] what has influenced different entities as well?", "output": "yes"}
42
+ {"perplexity": 2.5480864596348627, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Tim Burton\", \"German expressionism\"] what has influenced different entities as well?", "output": "yes"}
43
+ {"perplexity": 4.383345695385173, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Eamon de Valera\", \"James Napper Tandy\"] what has influenced different entities as well?", "output": "yes"}
44
+ {"perplexity": 2.322017530150855, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Joe Biden\", \"Donald Trump\"] what has influenced different entities as well?", "output": "yes"}
45
+ {"perplexity": 4.896048725745742, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Shaquille O'Neal\", \"Selim II\"] what has influenced different entities as well?", "output": "yes"}
46
+ {"perplexity": 3.189113793760284, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Cobra Kai\", \"Anna Chlumsky\"] what has influenced different entities as well?", "output": "yes"}
47
+ {"perplexity": 1.6219435843752015, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Harry Potter\", \"Wizard of Oz\"] what has influenced different entities as well?", "output": "yes"}
48
+ {"perplexity": 1.3674557039710074, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Coca-Cola\", \"Pepsi\"] what has influenced different entities as well?", "output": "yes"}
49
+ {"perplexity": 1.885807668895862, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Apple Music\", \"Spotify\"] what has influenced different entities as well?", "output": "yes"}
50
+ {"perplexity": 3.1020510074720793, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Singaporean food\", \"Malaysian food\"] what has influenced different entities as well?", "output": "yes"}
51
+ {"perplexity": 2.8876786327199273, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Guess\", \"Gucci\"] what has influenced different entities as well?", "output": "yes"}
52
+ {"perplexity": 2.3983567466543745, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Commonwealth\", \"United Kingdom\"] what has influenced different entities as well?", "output": "yes"}
53
+ {"perplexity": 2.777502673495317, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"machine learning\", \"Google\"] what has influenced different entities as well?", "output": "yes"}
54
+ {"perplexity": 2.741361460648985, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Antonio Salazar\", \"fascism\"] what has influenced different entities as well?", "output": "yes"}
55
+ {"perplexity": 1.828292603583239, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Facebook\", \"LinkedIn\"] what has influenced different entities as well?", "output": "yes"}
56
+ {"perplexity": 4.651814291549398, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Hank Williams\", \"Jimmie Rodgers\"] what has influenced different entities as well?", "output": "yes"}
57
+ {"perplexity": 2.4315787670917515, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"painters\", \"Stable Diffusion\"] what has influenced different entities as well?", "output": "yes"}
58
+ {"perplexity": 4.64897259051426, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Walmart\", \"Rivaldo\"] what has influenced different entities as well?", "output": "yes"}
59
+ {"perplexity": 4.165670058200981, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Sauron\", \"Shiba Inu\"] what has influenced different entities as well?", "output": "yes"}
60
+ {"perplexity": 3.1045625503373593, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bruno Mars\", \"James Brown\"] what has influenced different entities as well?", "output": "yes"}
61
+ {"perplexity": 2.653406599370682, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Brazil\", \"Spain\"] what has influenced different entities as well?", "output": "yes"}
62
+ {"perplexity": 1.580340201471917, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"heavy metal\", \"punk music\"] what has influenced different entities as well?", "output": "yes"}
63
+ {"perplexity": 5.0571483645756565, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Moon\", \"G\u00f6bekli Tepe\"] what has influenced different entities as well?", "output": "yes"}
64
+ {"perplexity": 2.2023022189183648, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"English\", \"William Shakespeare\"] what has influenced different entities as well?", "output": "yes"}
65
+ {"perplexity": 1.9281587788821901, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Beatles\", \"Alice in Wonderland\"] what has influenced different entities as well?", "output": "yes"}
66
+ {"perplexity": 1.0479892568984772, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"impressionism\", \"Edouard Manet\"] what has influenced different entities as well?", "output": "yes"}
67
+ {"perplexity": 3.6432403867364247, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Gilbert Gottfried\", \"Mike Krieger\"] what has influenced different entities as well?", "output": "yes"}
68
+ {"perplexity": 3.935619065952237, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Vladimir Lenin\", \"chess\"] what has influenced different entities as well?", "output": "yes"}
69
+ {"perplexity": 1.7378806717254898, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Pepsi\", \"Coca-Cola\"] what has influenced different entities as well?", "output": "yes"}
70
+ {"perplexity": 3.61459415307651, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Alicia Vikander\", \"Richard Attenborough\"] what has influenced different entities as well?", "output": "yes"}
71
+ {"perplexity": 3.6021400071254823, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Luke Bryan\", \"Hank Williams\"] what has influenced different entities as well?", "output": "yes"}
72
+ {"perplexity": 2.564047719146686, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bill Gates\", \"Steve Jobs\"] what has influenced different entities as well?", "output": "yes"}
73
+ {"perplexity": 1.8932523815437434, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Allu Arjun\", \"Aaron Ramsey\"] what has influenced different entities as well?", "output": "yes"}
74
+ {"perplexity": 3.243668309271875, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Stephen King\", \"Arthur Machen\"] what has influenced different entities as well?", "output": "yes"}
75
+ {"perplexity": 3.430048712220721, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bangladesh\", \"India\"] what has influenced different entities as well?", "output": "yes"}
76
+ {"perplexity": 3.514419780578753, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"hamburger\", \"Germany\"] what has influenced different entities as well?", "output": "yes"}
77
+ {"perplexity": 1.0326566799983867, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Plato\", \"Socrates\"] what has influenced different entities as well?", "output": "yes"}
78
+ {"perplexity": 1.0334319419657347, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Messi\", \"Maradona\"] what has influenced different entities as well?", "output": "yes"}
79
+ {"perplexity": 3.808813884874444, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Oasis\", \"Blur\"] what has influenced different entities as well?", "output": "yes"}
80
+ {"perplexity": 2.4312118234417484, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Quentin Tarantino\", \"Sergio Leone\"] what has influenced different entities as well?", "output": "yes"}
81
+ {"perplexity": 1.8401529222980195, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"European Union\", \"Germany\"] what has influenced different entities as well?", "output": "yes"}
82
+ {"perplexity": 3.819456125638904, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Stephen Foster\", \"Thomas Moore\"] what has influenced different entities as well?", "output": "yes"}
83
+ {"perplexity": 4.196882663421195, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Hoover\", \"Dyson\"] what has influenced different entities as well?", "output": "yes"}
84
+ {"perplexity": 2.171414812633467, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Mark Rothko\", \"Claude Monet\"] what has influenced different entities as well?", "output": "yes"}
85
+ {"perplexity": 3.5006357283091836, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"James Brown\", \"Michael Jackson\"] what has influenced different entities as well?", "output": "yes"}
86
+ {"perplexity": 1.746858563853651, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Windows\", \"Linux\"] what has influenced different entities as well?", "output": "yes"}
87
+ {"perplexity": 1.421360406086033, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Radiohead\", \"David Bowie\"] what has influenced different entities as well?", "output": "yes"}
88
+ {"perplexity": 4.769940458131676, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"NVIDIA\", \"AMD\"] what has influenced different entities as well?", "output": "yes"}
89
+ {"perplexity": 2.694429355446174, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"India\", \"Gandhi\"] what has influenced different entities as well?", "output": "yes"}
90
+ {"perplexity": 5.546389432703567, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Viktor Yushchenko\", \"Bonnie Wright\"] what has influenced different entities as well?", "output": "yes"}
91
+ {"perplexity": 1.889794536789482, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Beethoven\", \"Mozart\"] what has influenced different entities as well?", "output": "yes"}
92
+ {"perplexity": 1.195464741010466, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bitcoin\", \"blockchain\"] what has influenced different entities as well?", "output": "yes"}
93
+ {"perplexity": 3.1617891916123764, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Hong Kong\", \"China\"] what has influenced different entities as well?", "output": "yes"}
experiments/results/lm_qa/flan-t5-base/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 4.285216638776486, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Hawaii\", \"ukulele\"] examples of what entities are known for as well?", "output": "yes"}
2
+ {"perplexity": 1.020760393407121, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Paris\", \"Eiffel Tower\"] examples of what entities are known for as well?", "output": "yes"}
3
+ {"perplexity": 3.1929097874344685, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Sweden\", \"pop\"] examples of what entities are known for as well?", "output": "yes"}
4
+ {"perplexity": 2.8136644944344713, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Memphis Depay\", \"Mendelian inheritance\"] examples of what entities are known for as well?", "output": "yes"}
5
+ {"perplexity": 2.594191959474031, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"beaches\"] examples of what entities are known for as well?", "output": "yes"}
6
+ {"perplexity": 2.848429277468522, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"cars\"] examples of what entities are known for as well?", "output": "yes"}
7
+ {"perplexity": 3.257389036104589, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Alphabet Inc.\", \"Google\"] examples of what entities are known for as well?", "output": "yes"}
8
+ {"perplexity": 3.1209258704591734, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Vincent Van Gogh\", \"The Starry Night\"] examples of what entities are known for as well?", "output": "yes"}
9
+ {"perplexity": 3.2653276169500276, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"Hawaiian pizza\"] examples of what entities are known for as well?", "output": "yes"}
10
+ {"perplexity": 4.441980392198242, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Japan\", \"glass product\"] examples of what entities are known for as well?", "output": "yes"}
11
+ {"perplexity": 2.184363943114628, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"rococo movement\"] examples of what entities are known for as well?", "output": "yes"}
12
+ {"perplexity": 2.231397165961998, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Europe\", \"The Final Countdown\"] examples of what entities are known for as well?", "output": "yes"}
13
+ {"perplexity": 2.4031773923361786, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Sophie Turner\", \"Sylvia Plath\"] examples of what entities are known for as well?", "output": "yes"}
14
+ {"perplexity": 2.7952020429875555, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Bill Nye\", \"scientist\"] examples of what entities are known for as well?", "output": "yes"}
15
+ {"perplexity": 2.3737468292968247, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Mercedes Benz\", \"build quality\"] examples of what entities are known for as well?", "output": "yes"}
16
+ {"perplexity": 3.425448883211499, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Hawaii\", \"beaches\"] examples of what entities are known for as well?", "output": "yes"}
17
+ {"perplexity": 2.396334240292051, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Jackson Pollock\", \"action painting\"] examples of what entities are known for as well?", "output": "yes"}
18
+ {"perplexity": 5.268796320283408, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Andhra Pradesh\", \"Martinique\"] examples of what entities are known for as well?", "output": "yes"}
19
+ {"perplexity": 2.2691487947056057, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Keanu Reeves\", \"The Matrix\"] examples of what entities are known for as well?", "output": "yes"}
20
+ {"perplexity": 4.011401196828262, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Christopher Columbus\", \"India\"] examples of what entities are known for as well?", "output": "yes"}
21
+ {"perplexity": 2.726602063454364, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Picasso\", \"Guernica\"] examples of what entities are known for as well?", "output": "yes"}
22
+ {"perplexity": 2.25039051008912, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"Renaissance\"] examples of what entities are known for as well?", "output": "yes"}
23
+ {"perplexity": 4.200243572624728, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Korea\", \"Breakdance\"] examples of what entities are known for as well?", "output": "yes"}
24
+ {"perplexity": 3.530741791047704, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Spain\", \"olive oil\"] examples of what entities are known for as well?", "output": "yes"}
25
+ {"perplexity": 2.8648260675903767, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"C.S. Lewis\", \"The Screwtape Letters\"] examples of what entities are known for as well?", "output": "yes"}
26
+ {"perplexity": 2.9095457774007674, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Corsica\", \"Napoleon Bonaparte\"] examples of what entities are known for as well?", "output": "yes"}
27
+ {"perplexity": 2.4750065098424328, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Rafael Nadal\", \"Ralph Macchio\"] examples of what entities are known for as well?", "output": "yes"}
28
+ {"perplexity": 2.955450420556033, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Walther P38\", \"Lupin the Third\"] examples of what entities are known for as well?", "output": "yes"}
29
+ {"perplexity": 3.2132750684377416, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Richard Harris\", \"Curcuma longa\"] examples of what entities are known for as well?", "output": "yes"}
30
+ {"perplexity": 2.912222569418147, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"] examples of what entities are known for as well?", "output": "yes"}
31
+ {"perplexity": 5.747107500431963, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"India\", \"rum\"] examples of what entities are known for as well?", "output": "yes"}
32
+ {"perplexity": 2.035902538700078, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Parasite\", \"Jersey\"] examples of what entities are known for as well?", "output": "yes"}
33
+ {"perplexity": 3.0412770449419004, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"India\", \"Gurkhas\"] examples of what entities are known for as well?", "output": "yes"}
34
+ {"perplexity": 2.16167692668756, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Amazon\", \"Alexa\"] examples of what entities are known for as well?", "output": "yes"}
35
+ {"perplexity": 2.159617789581947, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Thomas Edison\", \"telephone\"] examples of what entities are known for as well?", "output": "yes"}
36
+ {"perplexity": 3.315839778575779, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Buffon\", \"PSG\"] examples of what entities are known for as well?", "output": "yes"}
37
+ {"perplexity": 2.2220955862117466, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Alfred Hitchcock\", \"horror\"] examples of what entities are known for as well?", "output": "yes"}
38
+ {"perplexity": 2.4498074881166256, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"William Shakespeare\", \"Romeo and Juliet\"] examples of what entities are known for as well?", "output": "yes"}
39
+ {"perplexity": 2.178290062536169, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Thomas Edison\", \"light bulb\"] examples of what entities are known for as well?", "output": "yes"}
40
+ {"perplexity": 3.0209594772886126, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Michael Jordan\", \"Tessa Thompson\"] examples of what entities are known for as well?", "output": "yes"}
41
+ {"perplexity": 2.442438746553028, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Inglourious Basterds\", \"Sergio Busquets\"] examples of what entities are known for as well?", "output": "yes"}
42
+ {"perplexity": 3.527085667590974, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Boris Johnson\", \"Brexit\"] examples of what entities are known for as well?", "output": "yes"}
43
+ {"perplexity": 4.321343816258012, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Georgia\", \"Joseph Stalin\"] examples of what entities are known for as well?", "output": "yes"}
44
+ {"perplexity": 3.8220892068258316, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"China\", \"coffee\"] examples of what entities are known for as well?", "output": "yes"}
45
+ {"perplexity": 2.985109748264155, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"OpenAI\", \"ChatGPT\"] examples of what entities are known for as well?", "output": "yes"}
46
+ {"perplexity": 1.9638012233912647, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Tesco\", \"groceries\"] examples of what entities are known for as well?", "output": "yes"}
47
+ {"perplexity": 1.65493989172266, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Amazon\", \"cloud computing\"] examples of what entities are known for as well?", "output": "yes"}
48
+ {"perplexity": 2.906078702222503, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Nvidia\", \"GPUs\"] examples of what entities are known for as well?", "output": "yes"}
49
+ {"perplexity": 3.1276007592882644, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Tony Blair\", \"Iraq War\"] examples of what entities are known for as well?", "output": "yes"}
50
+ {"perplexity": 3.5655767666071556, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Germany\", \"techno music\"] examples of what entities are known for as well?", "output": "yes"}
51
+ {"perplexity": 2.4312209528844675, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Michelangelo\", \"Pop Art\"] examples of what entities are known for as well?", "output": "yes"}
52
+ {"perplexity": 2.8972843593745905, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Gilmore Girls\", \"OpenAI\"] examples of what entities are known for as well?", "output": "yes"}
53
+ {"perplexity": 4.131860851038705, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Ragnar\u00f6k\", \"Little Boy\"] examples of what entities are known for as well?", "output": "yes"}
54
+ {"perplexity": 3.3864235531729934, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Pizzagate\", \"Hillary Clinton\"] examples of what entities are known for as well?", "output": "yes"}
55
+ {"perplexity": 3.552709975797133, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"George Orwell\", \"Coming Up for Air\"] examples of what entities are known for as well?", "output": "yes"}
56
+ {"perplexity": 2.7618486445101826, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"wine\"] examples of what entities are known for as well?", "output": "yes"}
57
+ {"perplexity": 1.5407547664285568, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Coca-Cola\", \"Pepsi\"] examples of what entities are known for as well?", "output": "yes"}
58
+ {"perplexity": 1.566961934562792, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Spotify\", \"Podcasts\"] examples of what entities are known for as well?", "output": "yes"}
59
+ {"perplexity": 3.6545695194315275, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Valencia\", \"paella\"] examples of what entities are known for as well?", "output": "yes"}
60
+ {"perplexity": 2.5358055439961213, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"The Office\", \"IBM\"] examples of what entities are known for as well?", "output": "yes"}
61
+ {"perplexity": 2.8193622473397966, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Romania\", \"Roman Catholicism\"] examples of what entities are known for as well?", "output": "yes"}
62
+ {"perplexity": 3.386720684363033, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"George Washington\", \"Kiribati\"] examples of what entities are known for as well?", "output": "yes"}
63
+ {"perplexity": 3.2966584347863277, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Charles Bronson\", \"Rory McIlroy\"] examples of what entities are known for as well?", "output": "yes"}
64
+ {"perplexity": 3.4228389180014815, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Belgium\", \"wine\"] examples of what entities are known for as well?", "output": "yes"}
65
+ {"perplexity": 4.018752062389441, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Luka Modri\u0107\", \"Rottweiler\"] examples of what entities are known for as well?", "output": "yes"}
66
+ {"perplexity": 2.2579134722504404, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Switzerland\", \"mountains\"] examples of what entities are known for as well?", "output": "yes"}
67
+ {"perplexity": 1.585369425577586, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Assassin's Creed\", \"history\"] examples of what entities are known for as well?", "output": "yes"}
68
+ {"perplexity": 1.9799138124350546, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Red Bull\", \"energy drinks\"] examples of what entities are known for as well?", "output": "yes"}
69
+ {"perplexity": 2.87596565355726, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Johnny Cash\", \"Ring of Fire\"] examples of what entities are known for as well?", "output": "yes"}
70
+ {"perplexity": 2.060897220287047, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Microsoft\", \"Xbox\"] examples of what entities are known for as well?", "output": "yes"}
71
+ {"perplexity": 3.3191898773907105, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Canada\", \"maple syrup\"] examples of what entities are known for as well?", "output": "yes"}
72
+ {"perplexity": 2.270059086658223, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"cheese\"] examples of what entities are known for as well?", "output": "yes"}
73
+ {"perplexity": 2.4517517841933016, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"beer\"] examples of what entities are known for as well?", "output": "yes"}
74
+ {"perplexity": 1.690784896283175, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Nintendo\", \"Super Mario Bros.\"] examples of what entities are known for as well?", "output": "yes"}
75
+ {"perplexity": 1.881108909232603, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"democracy\", \"North Korea\"] examples of what entities are known for as well?", "output": "yes"}
76
+ {"perplexity": 1.0241183401304932, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Apple\", \"iPhone\"] examples of what entities are known for as well?", "output": "yes"}
77
+ {"perplexity": 1.5930305689793025, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Harry Potter\", \"Bloomsbury\"] examples of what entities are known for as well?", "output": "yes"}
78
+ {"perplexity": 1.973526232633394, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"mountains\"] examples of what entities are known for as well?", "output": "yes"}
79
+ {"perplexity": 4.06325773337408, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"UK\", \"rain\"] examples of what entities are known for as well?", "output": "yes"}
80
+ {"perplexity": 3.7294448326825327, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Matt Damon\", \"Ocean's Eleven\"] examples of what entities are known for as well?", "output": "yes"}
81
+ {"perplexity": 3.2830932099486536, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Switzerland\", \"banking secrecy\"] examples of what entities are known for as well?", "output": "yes"}
82
+ {"perplexity": 1.936836519620864, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Adidas\", \"Yeezy Boost\"] examples of what entities are known for as well?", "output": "yes"}
83
+ {"perplexity": 3.8405954784921628, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Portugal\", \"Fado\"] examples of what entities are known for as well?", "output": "yes"}
84
+ {"perplexity": 2.9026171425584106, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"tea\"] examples of what entities are known for as well?", "output": "yes"}
85
+ {"perplexity": 1.7978388115451265, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Beatles\", \"Come Together\"] examples of what entities are known for as well?", "output": "yes"}
86
+ {"perplexity": 3.210820258704249, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Afro-Brazilians\", \"Capoeira\"] examples of what entities are known for as well?", "output": "yes"}
87
+ {"perplexity": 2.2324527835534127, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Steve Jobs\", \"AirPods\"] examples of what entities are known for as well?", "output": "yes"}
88
+ {"perplexity": 1.477568214476077, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Apple\", \"Apple Watch\"] examples of what entities are known for as well?", "output": "yes"}
89
+ {"perplexity": 3.137802579252836, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Frank Abagnale Jr\", \"doctor\"] examples of what entities are known for as well?", "output": "yes"}
90
+ {"perplexity": 3.3409647355773595, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Meta\", \"Instagram\"] examples of what entities are known for as well?", "output": "yes"}
91
+ {"perplexity": 3.1501538141917584, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Jeff Goldblum\", \"Jurassic Park\"] examples of what entities are known for as well?", "output": "yes"}
92
+ {"perplexity": 1.0313154485051539, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Leonardo Da Vinci\", \"Mona Lisa\"] examples of what entities are known for as well?", "output": "yes"}
93
+ {"perplexity": 3.4866230938435034, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Neil Armstrong\", \"Korean War\"] examples of what entities are known for as well?", "output": "yes"}
94
+ {"perplexity": 2.664410078285165, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"baguette\"] examples of what entities are known for as well?", "output": "yes"}
95
+ {"perplexity": 2.461828624361639, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Queen\", \"Bohemian Rhapsody\"] examples of what entities are known for as well?", "output": "yes"}
96
+ {"perplexity": 4.189590521507454, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Pixar\", \"Novosibirsk\"] examples of what entities are known for as well?", "output": "yes"}
97
+ {"perplexity": 2.8890125191719283, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Greggs\", \"sausage rolls\"] examples of what entities are known for as well?", "output": "yes"}
98
+ {"perplexity": 3.047290410325656, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Japan\", \"sake\"] examples of what entities are known for as well?", "output": "yes"}
99
+ {"perplexity": 2.39045048550807, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"IKEA\", \"food\"] examples of what entities are known for as well?", "output": "yes"}
100
+ {"perplexity": 3.839153112397254, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"William Grant & Sons\", \"gin\"] examples of what entities are known for as well?", "output": "yes"}
101
+ {"perplexity": 3.561428994033304, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Netherlands\", \"tulips\"] examples of what entities are known for as well?", "output": "yes"}
102
+ {"perplexity": 2.6502202602009826, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"LAMY\", \"notebook\"] examples of what entities are known for as well?", "output": "yes"}
103
+ {"perplexity": 3.465127583472342, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Harvey Weinstein\", \"Miramax\"] examples of what entities are known for as well?", "output": "yes"}
104
+ {"perplexity": 2.684617069325078, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Scotland\", \"whisky\"] examples of what entities are known for as well?", "output": "yes"}
105
+ {"perplexity": 1.570551971680521, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Apple\", \"MacBook\"] examples of what entities are known for as well?", "output": "yes"}
106
+ {"perplexity": 1.3933005240666003, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Steve Jobs\", \"Apple\"] examples of what entities are known for as well?", "output": "yes"}
107
+ {"perplexity": 1.967387562941124, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Beatles\", \"I Me Mine\"] examples of what entities are known for as well?", "output": "yes"}
108
+ {"perplexity": 1.7248944096471757, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Google\", \"search engine\"] examples of what entities are known for as well?", "output": "yes"}
experiments/results/lm_qa/flan-t5-base/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 2.789191003070694, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"pill\", \"tablet\"] examples of entities that are similar as well?", "output": "yes"}
2
+ {"perplexity": 3.3808055802198527, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Eduardo Saverin\", \"Guinea-Bissau\"] examples of entities that are similar as well?", "output": "yes"}
3
+ {"perplexity": 4.00673193871779, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Dionysus\", \"Toyota Corolla\"] examples of entities that are similar as well?", "output": "yes"}
4
+ {"perplexity": 1.9212379002145616, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Great Britian\", \"British Empire\"] examples of entities that are similar as well?", "output": "yes"}
5
+ {"perplexity": 2.5612843770651343, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"English\", \"Persian\"] examples of entities that are similar as well?", "output": "yes"}
6
+ {"perplexity": 2.8114844714351266, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Chess\", \"Rubik's Cube\"] examples of entities that are similar as well?", "output": "yes"}
7
+ {"perplexity": 1.5243222975956445, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Star Wars\", \"Star Trek\"] examples of entities that are similar as well?", "output": "yes"}
8
+ {"perplexity": 4.053331891903878, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Anne Heche\", \"Ponzi scheme\"] examples of entities that are similar as well?", "output": "yes"}
9
+ {"perplexity": 4.113319907763672, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Chris Pine\", \"Good Friday\"] examples of entities that are similar as well?", "output": "yes"}
10
+ {"perplexity": 3.637199831224763, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Sudocrem\", \"Germolene\"] examples of entities that are similar as well?", "output": "yes"}
11
+ {"perplexity": 2.1278656667078235, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Yugoslavia\", \"Albania\"] examples of entities that are similar as well?", "output": "yes"}
12
+ {"perplexity": 1.9560010980504938, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Beatles\", \"Rolling Stones\"] examples of entities that are similar as well?", "output": "yes"}
13
+ {"perplexity": 2.192801810927854, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"decision tree\", \"neural network\"] examples of entities that are similar as well?", "output": "yes"}
14
+ {"perplexity": 3.698021799875268, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Suits\", \"Law & Order\"] examples of entities that are similar as well?", "output": "yes"}
15
+ {"perplexity": 2.1975829673116714, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Titanic\", \"Superbad\"] examples of entities that are similar as well?", "output": "yes"}
16
+ {"perplexity": 2.5087830078438187, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Seleucid Empire\", \"Macedonian Empire\"] examples of entities that are similar as well?", "output": "yes"}
17
+ {"perplexity": 2.8984910341385697, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Doctor Who\", \"Timeless\"] examples of entities that are similar as well?", "output": "yes"}
18
+ {"perplexity": 3.2980672201526104, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Srebrenica massacre\", \"Rock Hudson\"] examples of entities that are similar as well?", "output": "yes"}
19
+ {"perplexity": 2.792647459277332, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Arnold Classic\", \"Mr. Olympia\"] examples of entities that are similar as well?", "output": "yes"}
20
+ {"perplexity": 2.204818214118152, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Italy\", \"Superman\"] examples of entities that are similar as well?", "output": "yes"}
21
+ {"perplexity": 2.305064039660901, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Alibaba\", \"Amazon\"] examples of entities that are similar as well?", "output": "yes"}
22
+ {"perplexity": 1.767507606247508, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Indiana Jones\", \"Star Wars\"] examples of entities that are similar as well?", "output": "yes"}
23
+ {"perplexity": 4.626034469651661, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"NQ64\", \"Wetherspoons\"] examples of entities that are similar as well?", "output": "yes"}
24
+ {"perplexity": 2.04730599433981, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Pepsi\", \"Fanta\"] examples of entities that are similar as well?", "output": "yes"}
25
+ {"perplexity": 4.183973114865646, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Homebase\", \"IKEA\"] examples of entities that are similar as well?", "output": "yes"}
26
+ {"perplexity": 2.964355236628447, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"ramen\", \"udon\"] examples of entities that are similar as well?", "output": "yes"}
27
+ {"perplexity": 1.5047465372554891, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"England\", \"Wales\"] examples of entities that are similar as well?", "output": "yes"}
28
+ {"perplexity": 2.44951458969783, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"sphinx\", \"sphynx\"] examples of entities that are similar as well?", "output": "yes"}
29
+ {"perplexity": 2.5025418607232153, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"iPod\", \"iPad\"] examples of entities that are similar as well?", "output": "yes"}
30
+ {"perplexity": 2.037222518138787, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Olympic Games\", \"X Games\"] examples of entities that are similar as well?", "output": "yes"}
31
+ {"perplexity": 2.0040916315921216, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"McDonald's\", \"Burger King\"] examples of entities that are similar as well?", "output": "yes"}
32
+ {"perplexity": 2.8168158041919167, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Minnesota\", \"Wisconsin\"] examples of entities that are similar as well?", "output": "yes"}
33
+ {"perplexity": 4.007361517257713, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Slack\", \"Microsoft Teams\"] examples of entities that are similar as well?", "output": "yes"}
34
+ {"perplexity": 4.467814515597939, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Peter Phillips\", \"Christine Baranski\"] examples of entities that are similar as well?", "output": "yes"}
35
+ {"perplexity": 4.769407689810321, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Jenna Ortega\", \"Anglo-Saxons\"] examples of entities that are similar as well?", "output": "yes"}
36
+ {"perplexity": 3.827572525168578, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Karl Urban\", \"France 24\"] examples of entities that are similar as well?", "output": "yes"}
37
+ {"perplexity": 1.9263676661014852, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Sudan\", \"South Sudan\"] examples of entities that are similar as well?", "output": "yes"}
38
+ {"perplexity": 2.0095086150775043, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Gameboy\", \"Nintendo\"] examples of entities that are similar as well?", "output": "yes"}
39
+ {"perplexity": 2.674795078547556, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Grammy Award\", \"Novel Prize\"] examples of entities that are similar as well?", "output": "yes"}
40
+ {"perplexity": 3.266949665959904, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"George Ezra\", \"Lead Belly\"] examples of entities that are similar as well?", "output": "yes"}
41
+ {"perplexity": 2.6839390086582333, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Cardiff\", \"Swansea\"] examples of entities that are similar as well?", "output": "yes"}
42
+ {"perplexity": 2.799655994594574, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Steve Jobs\", \"Tim Cook\"] examples of entities that are similar as well?", "output": "yes"}
43
+ {"perplexity": 2.105043868477029, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Counter Strike\", \"Rainbow Six\"] examples of entities that are similar as well?", "output": "yes"}
44
+ {"perplexity": 3.065389515721195, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Hawaii\", \"Guam\"] examples of entities that are similar as well?", "output": "yes"}
45
+ {"perplexity": 3.8808772373047375, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Scrabble\", \"Jenga\"] examples of entities that are similar as well?", "output": "yes"}
46
+ {"perplexity": 2.4293488305736197, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Christmas\", \"Easter\"] examples of entities that are similar as well?", "output": "yes"}
47
+ {"perplexity": 3.7756565941900937, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"fusilli\", \"rotini\"] examples of entities that are similar as well?", "output": "yes"}
48
+ {"perplexity": 3.2739271065074615, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Coachella\", \"Woodstock\"] examples of entities that are similar as well?", "output": "yes"}
49
+ {"perplexity": 1.5756958951736109, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Avatar\", \"Archimedes\"] examples of entities that are similar as well?", "output": "yes"}
50
+ {"perplexity": 4.147021894989347, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Shark\", \"Bush\"] examples of entities that are similar as well?", "output": "yes"}
51
+ {"perplexity": 4.781631398400038, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Eva Braun\", \"Phil Jackson\"] examples of entities that are similar as well?", "output": "yes"}
52
+ {"perplexity": 1.019941056270831, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Coca-Cola\", \"Pepsi\"] examples of entities that are similar as well?", "output": "yes"}
53
+ {"perplexity": 3.8025790393815013, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Joe Burrow\", \"Edward Scissorhands\"] examples of entities that are similar as well?", "output": "yes"}
54
+ {"perplexity": 1.0300795045806326, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Australia\", \"New Zealand\"] examples of entities that are similar as well?", "output": "yes"}
55
+ {"perplexity": 2.9951016999275506, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Edward I\", \"William the Conqueror\"] examples of entities that are similar as well?", "output": "yes"}
56
+ {"perplexity": 2.740472393607907, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Frank Sinatra\", \"Ella Fitzgerald\"] examples of entities that are similar as well?", "output": "yes"}
57
+ {"perplexity": 2.9877417277358345, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"New York\", \"York\"] examples of entities that are similar as well?", "output": "yes"}
58
+ {"perplexity": 1.9152277407249254, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Uzbekistan\", \"United States\"] examples of entities that are similar as well?", "output": "yes"}
59
+ {"perplexity": 2.6903240040650793, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Red Bull\", \"Monster Energy\"] examples of entities that are similar as well?", "output": "yes"}
60
+ {"perplexity": 1.7539435338594405, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Champions League\", \"Europa League\"] examples of entities that are similar as well?", "output": "yes"}
61
+ {"perplexity": 2.877889639455203, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Cerave\", \"Nivea\"] examples of entities that are similar as well?", "output": "yes"}
62
+ {"perplexity": 3.508298371386417, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Galaxy\", \"iPhone\"] examples of entities that are similar as well?", "output": "yes"}
63
+ {"perplexity": 4.555859312490806, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Mehmet \u00d6z\", \"David Schwimmer\"] examples of entities that are similar as well?", "output": "yes"}
64
+ {"perplexity": 2.0416250234187663, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Disney\", \"Pixar\"] examples of entities that are similar as well?", "output": "yes"}
65
+ {"perplexity": 1.9320258150321112, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Batman\", \"Iron Man\"] examples of entities that are similar as well?", "output": "yes"}
66
+ {"perplexity": 3.4324681711871854, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Gisele B\u00fcndchen\", \"Orson Welles\"] examples of entities that are similar as well?", "output": "yes"}
67
+ {"perplexity": 1.6585492895859013, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Estonia\", \"Finland\"] examples of entities that are similar as well?", "output": "yes"}
68
+ {"perplexity": 1.039210163244236, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"The Avengers\", \"The Justice League\"] examples of entities that are similar as well?", "output": "yes"}
69
+ {"perplexity": 2.7711553868510976, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Nicolae Ceau\u0219escu\", \"Javier Hern\u00e1ndez\"] examples of entities that are similar as well?", "output": "yes"}
70
+ {"perplexity": 1.8714403748965878, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Adidas\", \"Nike\"] examples of entities that are similar as well?", "output": "yes"}
71
+ {"perplexity": 4.026350141028499, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Java\", \"Javascript\"] examples of entities that are similar as well?", "output": "yes"}
72
+ {"perplexity": 1.6923914658147823, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"bourbon\", \"Scotch whisky\"] examples of entities that are similar as well?", "output": "yes"}
73
+ {"perplexity": 2.5087312692258084, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Alaska\", \"Canada\"] examples of entities that are similar as well?", "output": "yes"}
74
+ {"perplexity": 1.6366244785296937, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Spain\", \"Italy\"] examples of entities that are similar as well?", "output": "yes"}
75
+ {"perplexity": 2.6716634718396177, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"banana\", \"plantain\"] examples of entities that are similar as well?", "output": "yes"}
76
+ {"perplexity": 4.456820716445269, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Firefox\", \"Chrome\"] examples of entities that are similar as well?", "output": "yes"}
77
+ {"perplexity": 2.772199811955721, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Pecorino Romano\", \"Parmesan\"] examples of entities that are similar as well?", "output": "yes"}
78
+ {"perplexity": 1.0186620133688542, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Ligue 1\", \"Bundesliga\"] examples of entities that are similar as well?", "output": "yes"}
79
+ {"perplexity": 2.777343748064446, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Netflix\", \"Amazon Prime Video\"] examples of entities that are similar as well?", "output": "yes"}
80
+ {"perplexity": 2.939226868533578, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Primark\", \"Shein\"] examples of entities that are similar as well?", "output": "yes"}
81
+ {"perplexity": 2.4446318846942217, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Dominos' Pizza\", \"Pizza Hut\"] examples of entities that are similar as well?", "output": "yes"}
82
+ {"perplexity": 2.7255712432322996, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"South Africa\", \"Bhagavad Gita\"] examples of entities that are similar as well?", "output": "yes"}
83
+ {"perplexity": 1.7386378413563714, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Germany\", \"France\"] examples of entities that are similar as well?", "output": "yes"}
84
+ {"perplexity": 3.841337242260892, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Kindle\", \"Jeff Bezos\"] examples of entities that are similar as well?", "output": "yes"}
85
+ {"perplexity": 1.6145358836845096, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Harry Potter\", \"Lord of the Rings\"] examples of entities that are similar as well?", "output": "yes"}
86
+ {"perplexity": 2.9200616489129136, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Yakutia\", \"Turkey\"] examples of entities that are similar as well?", "output": "yes"}
87
+ {"perplexity": 2.201782723665937, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"PS5\", \"XBox\"] examples of entities that are similar as well?", "output": "yes"}
88
+ {"perplexity": 3.381681060448603, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Monet\", \"Manet\"] examples of entities that are similar as well?", "output": "yes"}
89
+ {"perplexity": 3.8333785524798225, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Glastonbury\", \"Roskilde\"] examples of entities that are similar as well?", "output": "yes"}
90
+ {"perplexity": 3.291659044319672, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Telugu\", \"Tamil\"] examples of entities that are similar as well?", "output": "yes"}
91
+ {"perplexity": 1.7022864008000893, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Batman\", \"Superman\"] examples of entities that are similar as well?", "output": "yes"}
92
+ {"perplexity": 1.8592885204828657, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"cannoli\", \"canneloni\"] examples of entities that are similar as well?", "output": "yes"}
93
+ {"perplexity": 3.7257477236398957, "input": "Answer the question by yes or no. We know that [\"Coca-Cola\", \"Pepsi\"],[\"Ligue 1\", \"Bundesliga\"],[\"Australia\", \"New Zealand\"],[\"The Avengers\", \"The Justice League\"],[\"Tesco\", \"Sainsburys\"] are examples of examples of entities that are similar. Are [\"Gerald Ford\", \"Duran Duran\"] examples of entities that are similar as well?", "output": "yes"}
experiments/results/lm_qa/flan-t5-large/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 1.2474878220399475, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Jeremy Corbyn\", \"Keir Starmer\"] entities that are competitors or rivals as well?", "output": "yes"}
2
+ {"perplexity": 1.7881848883227067, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"EuroBasket 2022\", \"Murad III\"] entities that are competitors or rivals as well?", "output": "yes"}
3
+ {"perplexity": 1.3770237179464873, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bugatti\", \"Lamborghini\"] entities that are competitors or rivals as well?", "output": "yes"}
4
+ {"perplexity": 1.2288240654492575, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Microsoft\"] entities that are competitors or rivals as well?", "output": "yes"}
5
+ {"perplexity": 1.4080428583876379, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Lee Chong Wei\", \"Lin Dan\"] entities that are competitors or rivals as well?", "output": "yes"}
6
+ {"perplexity": 1.1673519809008994, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Microsoft\", \"Google\"] entities that are competitors or rivals as well?", "output": "yes"}
7
+ {"perplexity": 1.433298252324969, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Samsung\", \"Pitbull\"] entities that are competitors or rivals as well?", "output": "yes"}
8
+ {"perplexity": 1.293455326848882, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Cristiano Ronaldo\", \"Lionel Messi\"] entities that are competitors or rivals as well?", "output": "yes"}
9
+ {"perplexity": 1.302279781232166, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Germany\", \"Austria\"] entities that are competitors or rivals as well?", "output": "yes"}
10
+ {"perplexity": 1.312875353080904, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Dyson\", \"Dualit\"] entities that are competitors or rivals as well?", "output": "yes"}
11
+ {"perplexity": 1.3758596195839219, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Netflix\", \"Disney Plus\"] entities that are competitors or rivals as well?", "output": "yes"}
12
+ {"perplexity": 1.5103017087544315, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"PyTorch\", \"TensorFlow\"] entities that are competitors or rivals as well?", "output": "yes"}
13
+ {"perplexity": 1.0466203366377358, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Dell\", \"HP\"] entities that are competitors or rivals as well?", "output": "yes"}
14
+ {"perplexity": 1.5892524052356893, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sanpellegrino\", \"Volvic\"] entities that are competitors or rivals as well?", "output": "yes"}
15
+ {"perplexity": 1.3094707411041804, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mikhail Khodorkovsky\", \"Hezbollah\"] entities that are competitors or rivals as well?", "output": "yes"}
16
+ {"perplexity": 1.2197482185976285, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"British Airways\", \"Aer Lingus\"] entities that are competitors or rivals as well?", "output": "yes"}
17
+ {"perplexity": 1.0347026210612138, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Microsoft Teams\", \"Slack\"] entities that are competitors or rivals as well?", "output": "yes"}
18
+ {"perplexity": 1.7007610633891086, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Federal Reserve Board\", \"Bank of England\"] entities that are competitors or rivals as well?", "output": "yes"}
19
+ {"perplexity": 1.798517688237155, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"American Psycho\", \"Chihuahua\"] entities that are competitors or rivals as well?", "output": "yes"}
20
+ {"perplexity": 2.131724814590338, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mars\", \"Snickers\"] entities that are competitors or rivals as well?", "output": "yes"}
21
+ {"perplexity": 1.4426592315022928, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"ASML\", \"LAM Research\"] entities that are competitors or rivals as well?", "output": "yes"}
22
+ {"perplexity": 1.973135382432026, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Jake Paul\", \"Tangled\"] entities that are competitors or rivals as well?", "output": "yes"}
23
+ {"perplexity": 1.374443421218857, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nikhita Khrushchev\", \"Leonid Brezhnev\"] entities that are competitors or rivals as well?", "output": "yes"}
24
+ {"perplexity": 1.1823151857962653, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Razer\", \"Dell\"] entities that are competitors or rivals as well?", "output": "yes"}
25
+ {"perplexity": 1.2968854712007498, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Spotify\", \"Apple\"] entities that are competitors or rivals as well?", "output": "yes"}
26
+ {"perplexity": 1.4712217811964772, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Kourtney Kardashian\", \"Jenna Fischer\"] entities that are competitors or rivals as well?", "output": "yes"}
27
+ {"perplexity": 1.1429490727991503, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"WhatsApp\"] entities that are competitors or rivals as well?", "output": "yes"}
28
+ {"perplexity": 1.1951960142245208, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Manchester United\", \"Arsenal\"] entities that are competitors or rivals as well?", "output": "yes"}
29
+ {"perplexity": 1.1513816721079864, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"WeChat\", \"WhatsApp\"] entities that are competitors or rivals as well?", "output": "yes"}
30
+ {"perplexity": 1.2413550008911383, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Saudi Arabia\", \"Israel\"] entities that are competitors or rivals as well?", "output": "yes"}
31
+ {"perplexity": 1.9679263541214371, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bashar al-Assad\", \"Christianity\"] entities that are competitors or rivals as well?", "output": "yes"}
32
+ {"perplexity": 1.4968142681354613, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Didier Deschamps\", \"Scott Adkins\"] entities that are competitors or rivals as well?", "output": "yes"}
33
+ {"perplexity": 1.32759401068815, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Lionel Messi\", \"Kylian Mbapp\u00e9\"] entities that are competitors or rivals as well?", "output": "yes"}
34
+ {"perplexity": 1.906379654581613, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Louis Philippe\", \"Peter England\"] entities that are competitors or rivals as well?", "output": "yes"}
35
+ {"perplexity": 1.7251870366173632, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Steve Jobs\", \"Atlanta\"] entities that are competitors or rivals as well?", "output": "yes"}
36
+ {"perplexity": 1.7538107690442721, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Bella Hadid\", \"Choi Woo-shik\"] entities that are competitors or rivals as well?", "output": "yes"}
37
+ {"perplexity": 1.8597693294819053, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mali\", \"Frances McDormand\"] entities that are competitors or rivals as well?", "output": "yes"}
38
+ {"perplexity": 1.1989414316531626, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Coca-Cola Company\", \"Pepsi\"] entities that are competitors or rivals as well?", "output": "yes"}
39
+ {"perplexity": 1.2868770163665535, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Khabib Nurmagomedov\", \"Conor McGregor\"] entities that are competitors or rivals as well?", "output": "yes"}
40
+ {"perplexity": 1.2340637372754109, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Twitter\", \"Facebook\"] entities that are competitors or rivals as well?", "output": "yes"}
41
+ {"perplexity": 1.7285832232371892, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Cardiff University\", \"Swansea University\"] entities that are competitors or rivals as well?", "output": "yes"}
42
+ {"perplexity": 1.879791591097916, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Isaac Newton\", \"Gottfried Leibniz\"] entities that are competitors or rivals as well?", "output": "yes"}
43
+ {"perplexity": 1.2486916323980015, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Casio\", \"Texas Instruments\"] entities that are competitors or rivals as well?", "output": "yes"}
44
+ {"perplexity": 1.1510558910645878, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Arsenal\", \"Tottenham Hotspur\"] entities that are competitors or rivals as well?", "output": "yes"}
45
+ {"perplexity": 1.1973215792454226, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nintendo\", \"Xbox\"] entities that are competitors or rivals as well?", "output": "yes"}
46
+ {"perplexity": 1.3169904088587479, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"H&M\", \"Zalora\"] entities that are competitors or rivals as well?", "output": "yes"}
47
+ {"perplexity": 1.485560654120565, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Serena Williams\", \"Andy Murray\"] entities that are competitors or rivals as well?", "output": "yes"}
48
+ {"perplexity": 1.0364718443510754, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Liverpool FC\", \"Manchester United\"] entities that are competitors or rivals as well?", "output": "yes"}
49
+ {"perplexity": 1.1893421007876337, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Samsung\"] entities that are competitors or rivals as well?", "output": "yes"}
50
+ {"perplexity": 1.4385660733749208, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Expedia\", \"Trivago\"] entities that are competitors or rivals as well?", "output": "yes"}
51
+ {"perplexity": 1.6060509937474226, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Heathrow Airport\", \"Gatwick Airport\"] entities that are competitors or rivals as well?", "output": "yes"}
52
+ {"perplexity": 1.4892793759891847, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mario\", \"Bowser\"] entities that are competitors or rivals as well?", "output": "yes"}
53
+ {"perplexity": 1.4771114223451924, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"US\", \"China\"] entities that are competitors or rivals as well?", "output": "yes"}
54
+ {"perplexity": 2.9132114603019077, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Olympic Games\", \"Helicobacter pylori\"] entities that are competitors or rivals as well?", "output": "yes"}
55
+ {"perplexity": 1.1903504464694188, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"BMW\", \"Mercedes-Benz\"] entities that are competitors or rivals as well?", "output": "yes"}
56
+ {"perplexity": 1.4684761338846524, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Blur\", \"Oasis\"] entities that are competitors or rivals as well?", "output": "yes"}
57
+ {"perplexity": 1.0400586042645394, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Israel\", \"Palestine\"] entities that are competitors or rivals as well?", "output": "yes"}
58
+ {"perplexity": 1.2315022579667878, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Toshiba\", \"LG\"] entities that are competitors or rivals as well?", "output": "yes"}
59
+ {"perplexity": 1.591342125512737, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Apple\", \"Rolex\"] entities that are competitors or rivals as well?", "output": "yes"}
60
+ {"perplexity": 1.2586106303300955, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Tesla\", \"Skoda\"] entities that are competitors or rivals as well?", "output": "yes"}
61
+ {"perplexity": 1.8744468471001396, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Thomas Jefferson\", \"Alexander Hamilton\"] entities that are competitors or rivals as well?", "output": "yes"}
62
+ {"perplexity": 1.3292967297405935, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Chester FC\", \"Wrexham FC\"] entities that are competitors or rivals as well?", "output": "yes"}
63
+ {"perplexity": 1.593766332146277, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Line of Duty\", \"CSI\"] entities that are competitors or rivals as well?", "output": "yes"}
64
+ {"perplexity": 1.7758757349076237, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Gladiator\", \"Imelda Staunton\"] entities that are competitors or rivals as well?", "output": "yes"}
65
+ {"perplexity": 1.5732563196527578, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"UK\", \"France\"] entities that are competitors or rivals as well?", "output": "yes"}
66
+ {"perplexity": 1.1283687800434077, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Nike\", \"Adidas\"] entities that are competitors or rivals as well?", "output": "yes"}
67
+ {"perplexity": 1.363735915781858, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Alain Prost\", \"Ayrton Senna\"] entities that are competitors or rivals as well?", "output": "yes"}
68
+ {"perplexity": 1.0588201100608565, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Manchester City\", \"Manchester United\"] entities that are competitors or rivals as well?", "output": "yes"}
69
+ {"perplexity": 1.407193448941204, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"BBC\", \"The Guardian\"] entities that are competitors or rivals as well?", "output": "yes"}
70
+ {"perplexity": 1.263311057661243, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Amazon\", \"Ebay\"] entities that are competitors or rivals as well?", "output": "yes"}
71
+ {"perplexity": 1.2479897520955874, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sir Alex Ferguson\", \"Jose Mourinho\"] entities that are competitors or rivals as well?", "output": "yes"}
72
+ {"perplexity": 1.6965385419921215, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"ASEAN\", \"Helen Hunt\"] entities that are competitors or rivals as well?", "output": "yes"}
73
+ {"perplexity": 1.6215973301602074, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Hans Zimmer\", \"John Williams\"] entities that are competitors or rivals as well?", "output": "yes"}
74
+ {"perplexity": 1.4214375878118868, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Noel Gallagher\", \"Liam Gallaguer\"] entities that are competitors or rivals as well?", "output": "yes"}
75
+ {"perplexity": 1.14998306628543, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"McDonald's\", \"Burger King\"] entities that are competitors or rivals as well?", "output": "yes"}
76
+ {"perplexity": 1.9010112085551714, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Neoclassicism\", \"Romanticism\"] entities that are competitors or rivals as well?", "output": "yes"}
77
+ {"perplexity": 1.9229512310989034, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Royal Feast\", \"Fast X\"] entities that are competitors or rivals as well?", "output": "yes"}
78
+ {"perplexity": 1.2770307625210529, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Eminem\", \"MGK\"] entities that are competitors or rivals as well?", "output": "yes"}
79
+ {"perplexity": 1.0698959443419336, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Sprite\", \"7 Up\"] entities that are competitors or rivals as well?", "output": "yes"}
80
+ {"perplexity": 2.547768295533673, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Katharine Hepburn\", \"Abrahamic religion\"] entities that are competitors or rivals as well?", "output": "yes"}
81
+ {"perplexity": 1.6334882172930667, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Martin Luther King Jr.\", \"Malcolm X\"] entities that are competitors or rivals as well?", "output": "yes"}
82
+ {"perplexity": 1.8519081506942674, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Ligue 1\", \"Hayley Atwell\"] entities that are competitors or rivals as well?", "output": "yes"}
83
+ {"perplexity": 1.6035266194613622, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Vikram\", \"Coen brothers\"] entities that are competitors or rivals as well?", "output": "yes"}
84
+ {"perplexity": 1.3591849418929658, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Russia\", \"China\"] entities that are competitors or rivals as well?", "output": "yes"}
85
+ {"perplexity": 1.5052688920868602, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Mohamed Salah\", \"Korea\"] entities that are competitors or rivals as well?", "output": "yes"}
86
+ {"perplexity": 1.3188686126265223, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Kingston\", \"Samsung\"] entities that are competitors or rivals as well?", "output": "yes"}
87
+ {"perplexity": 1.2898752135506293, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"AWS\", \"GCP\"] entities that are competitors or rivals as well?", "output": "yes"}
88
+ {"perplexity": 1.4572063449317856, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"Beatles\", \"Rolling Stones\"] entities that are competitors or rivals as well?", "output": "yes"}
89
+ {"perplexity": 1.7595571626510191, "input": "Answer the question by yes or no. We know that [\"Dell\", \"HP\"],[\"Sprite\", \"7 Up\"],[\"Israel\", \"Palestine\"],[\"Liverpool FC\", \"Manchester United\"],[\"Microsoft Teams\", \"Slack\"] are examples of entities that are competitors or rivals. Are [\"John Tyler\", \"Whig Party\"] entities that are competitors or rivals as well?", "output": "yes"}
experiments/results/lm_qa/flan-t5-large/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 1.461050409847867, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Leo Varadkar\"] entities that are friends or allies as well?", "output": "yes"}
2
+ {"perplexity": 1.5820502583760514, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Gondor\", \"Rohan\"] entities that are friends or allies as well?", "output": "yes"}
3
+ {"perplexity": 1.4278690263517633, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"FIFA\", \"UEFA\"] entities that are friends or allies as well?", "output": "yes"}
4
+ {"perplexity": 1.899047443793304, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Joseph Stalin\", \"Josip Broz Tito\"] entities that are friends or allies as well?", "output": "yes"}
5
+ {"perplexity": 1.3074911601561716, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Hillary Clinton\", \"Barack Obama\"] entities that are friends or allies as well?", "output": "yes"}
6
+ {"perplexity": 1.5192740464677248, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Di Maio\", \"Salvini\"] entities that are friends or allies as well?", "output": "yes"}
7
+ {"perplexity": 1.883596539989446, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Yahoo\", \"Yahoo Japan\"] entities that are friends or allies as well?", "output": "yes"}
8
+ {"perplexity": 1.2951862471642481, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Armenia\", \"Azerbaijan\"] entities that are friends or allies as well?", "output": "yes"}
9
+ {"perplexity": 2.033471909178907, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Doja Cat\", \"Anthony Albanese\"] entities that are friends or allies as well?", "output": "yes"}
10
+ {"perplexity": 1.480202529827358, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Pedro S\u00e1nchez\", \"Pablo Iglesias\"] entities that are friends or allies as well?", "output": "yes"}
11
+ {"perplexity": 1.9026541068163476, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Islamic State\", \"Denys Prokopenko\"] entities that are friends or allies as well?", "output": "yes"}
12
+ {"perplexity": 1.4281033894317048, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Brazil\", \"India\"] entities that are friends or allies as well?", "output": "yes"}
13
+ {"perplexity": 1.047402445195455, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Extinction Rebellion\", \"Greta Thunberg\"] entities that are friends or allies as well?", "output": "yes"}
14
+ {"perplexity": 1.8159114876659053, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sicily\", \"Calabria\"] entities that are friends or allies as well?", "output": "yes"}
15
+ {"perplexity": 1.7176716292548557, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Oman\", \"Iran\"] entities that are friends or allies as well?", "output": "yes"}
16
+ {"perplexity": 1.7949503984482167, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sony\", \"ZEISS\"] entities that are friends or allies as well?", "output": "yes"}
17
+ {"perplexity": 1.5767863877916626, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"FTX\", \"Alameda Research\"] entities that are friends or allies as well?", "output": "yes"}
18
+ {"perplexity": 1.3349762325869297, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UK\", \"Commonwealth\"] entities that are friends or allies as well?", "output": "yes"}
19
+ {"perplexity": 1.039829858376028, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Australia\", \"New Zealand\"] entities that are friends or allies as well?", "output": "yes"}
20
+ {"perplexity": 1.3799164784719506, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Kylo Ren\", \"Rey\"] entities that are friends or allies as well?", "output": "yes"}
21
+ {"perplexity": 2.2700297254318964, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Anne Boleyn\", \"Columbia Pictures\"] entities that are friends or allies as well?", "output": "yes"}
22
+ {"perplexity": 1.289970935881872, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"KGB\", \"CIA\"] entities that are friends or allies as well?", "output": "yes"}
23
+ {"perplexity": 1.580207202858432, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Joe Biden\"] entities that are friends or allies as well?", "output": "yes"}
24
+ {"perplexity": 1.93774701307201, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Quentin Tarantino\", \"Edgar Wright\"] entities that are friends or allies as well?", "output": "yes"}
25
+ {"perplexity": 1.2859391168501064, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Keir Starmer\", \"Jeremy Corbyn\"] entities that are friends or allies as well?", "output": "yes"}
26
+ {"perplexity": 1.477069514613722, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"U.S.S.R.\", \"East Germany\"] entities that are friends or allies as well?", "output": "yes"}
27
+ {"perplexity": 1.3498502951618139, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Harry Potter\", \"Severus Snape\"] entities that are friends or allies as well?", "output": "yes"}
28
+ {"perplexity": 1.5808767836785838, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Tata Motors\", \"Jaguar\"] entities that are friends or allies as well?", "output": "yes"}
29
+ {"perplexity": 1.6029877477455048, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Kendall Jenner\", \"Bergen\"] entities that are friends or allies as well?", "output": "yes"}
30
+ {"perplexity": 2.2036776747117006, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Thomas Jefferson\", \"Kid Cudi\"] entities that are friends or allies as well?", "output": "yes"}
31
+ {"perplexity": 1.2832049869904347, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"South Korea\", \"Japan\"] entities that are friends or allies as well?", "output": "yes"}
32
+ {"perplexity": 1.2190650413458954, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Spain\", \"Portugal\"] entities that are friends or allies as well?", "output": "yes"}
33
+ {"perplexity": 1.5139963160961423, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Liam Gallagher\", \"Noel Gallagher\"] entities that are friends or allies as well?", "output": "yes"}
34
+ {"perplexity": 1.2835964203098644, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"France\", \"Belgium\"] entities that are friends or allies as well?", "output": "yes"}
35
+ {"perplexity": 1.7378664805342976, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Turkish Airlines\", \"All Nippon Airways\"] entities that are friends or allies as well?", "output": "yes"}
36
+ {"perplexity": 1.19967514694284, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Malaysia\", \"Singapore\"] entities that are friends or allies as well?", "output": "yes"}
37
+ {"perplexity": 1.5758183700407093, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"JP Morgan\", \"Morgan Stanley\"] entities that are friends or allies as well?", "output": "yes"}
38
+ {"perplexity": 1.6923554540399341, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Sophia Loren\", \"Marlon Brando\"] entities that are friends or allies as well?", "output": "yes"}
39
+ {"perplexity": 1.6272162066172011, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"J.R.R. Tolkien\", \"C.S. Lewis\"] entities that are friends or allies as well?", "output": "yes"}
40
+ {"perplexity": 1.6337320336536947, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"China\", \"North Korea\"] entities that are friends or allies as well?", "output": "yes"}
41
+ {"perplexity": 1.347537159410159, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Margaret Thatcher\", \"Ronald Reagan\"] entities that are friends or allies as well?", "output": "yes"}
42
+ {"perplexity": 1.7472161515645934, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Eva Per\u00f3n\", \"Interpol\"] entities that are friends or allies as well?", "output": "yes"}
43
+ {"perplexity": 1.3794996190808548, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UK\", \"Ireland\"] entities that are friends or allies as well?", "output": "yes"}
44
+ {"perplexity": 1.3051186327024253, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Singapore\", \"Israel\"] entities that are friends or allies as well?", "output": "yes"}
45
+ {"perplexity": 1.6001709162785214, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Eastern Orthodoxy\", \"Oriental Orthodoxy\"] entities that are friends or allies as well?", "output": "yes"}
46
+ {"perplexity": 1.7558202509448415, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"India\", \"US\"] entities that are friends or allies as well?", "output": "yes"}
47
+ {"perplexity": 1.4973075860530793, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ed Gein\", \"Colonel Sanders\"] entities that are friends or allies as well?", "output": "yes"}
48
+ {"perplexity": 1.3904158807364664, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Beatles\", \"Rolling Stones\"] entities that are friends or allies as well?", "output": "yes"}
49
+ {"perplexity": 1.5984937696650707, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Red Bull\", \"GoPro\"] entities that are friends or allies as well?", "output": "yes"}
50
+ {"perplexity": 1.8293156175403857, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"HSBC\", \"BlackRock\"] entities that are friends or allies as well?", "output": "yes"}
51
+ {"perplexity": 1.048140210603829, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Elsa\", \"Anna\"] entities that are friends or allies as well?", "output": "yes"}
52
+ {"perplexity": 1.6711988140474345, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Macbeth\", \"Banquo\"] entities that are friends or allies as well?", "output": "yes"}
53
+ {"perplexity": 1.0368515391248185, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Aznar\", \"Bush\"] entities that are friends or allies as well?", "output": "yes"}
54
+ {"perplexity": 1.5266055536624976, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Google\", \"Samsung\"] entities that are friends or allies as well?", "output": "yes"}
55
+ {"perplexity": 1.435678889023355, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"IMF\", \"The World Bank\"] entities that are friends or allies as well?", "output": "yes"}
56
+ {"perplexity": 1.5992081305293853, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Nikon\", \"Tokina\"] entities that are friends or allies as well?", "output": "yes"}
57
+ {"perplexity": 1.4696288046086274, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Walter White\", \"Gus Fring\"] entities that are friends or allies as well?", "output": "yes"}
58
+ {"perplexity": 1.4270111439745272, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ron Weasley\", \"Neville Longbottom\"] entities that are friends or allies as well?", "output": "yes"}
59
+ {"perplexity": 1.3420121358493882, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Darth Vader\", \"Emperor Palpatine\"] entities that are friends or allies as well?", "output": "yes"}
60
+ {"perplexity": 1.4398419274675445, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Coca-Cola\", \"McDonald's\"] entities that are friends or allies as well?", "output": "yes"}
61
+ {"perplexity": 1.5499515769946457, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Instagram\", \"WhatsApp\"] entities that are friends or allies as well?", "output": "yes"}
62
+ {"perplexity": 1.8592541659084014, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Noah Schnapp\", \"Galatasaray S.K.\"] entities that are friends or allies as well?", "output": "yes"}
63
+ {"perplexity": 1.2260079488311466, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"US\", \"Canada\"] entities that are friends or allies as well?", "output": "yes"}
64
+ {"perplexity": 1.630607195296242, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Bob Marley\", \"Abu Bakr\"] entities that are friends or allies as well?", "output": "yes"}
65
+ {"perplexity": 1.5189380763629168, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Jeff Bezos\", \"GitHub\"] entities that are friends or allies as well?", "output": "yes"}
66
+ {"perplexity": 1.7151859756817744, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Hong Kong\", \"HSBC\"] entities that are friends or allies as well?", "output": "yes"}
67
+ {"perplexity": 1.2570693896194873, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"United States\", \"United Kingdom\"] entities that are friends or allies as well?", "output": "yes"}
68
+ {"perplexity": 2.084892281288714, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Porter Wagoner\", \"Dolly Parton\"] entities that are friends or allies as well?", "output": "yes"}
69
+ {"perplexity": 1.813712150815689, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Achilles\", \"Jonathan Bailey\"] entities that are friends or allies as well?", "output": "yes"}
70
+ {"perplexity": 1.4514253978571943, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Linus Sebastian\", \"Marques Brownlee\"] entities that are friends or allies as well?", "output": "yes"}
71
+ {"perplexity": 1.6995778409925826, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Catherine Zeta-Jones\", \"Johnny Knoxville\"] entities that are friends or allies as well?", "output": "yes"}
72
+ {"perplexity": 1.5786444134189412, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Amazon\", \"Royal Mail\"] entities that are friends or allies as well?", "output": "yes"}
73
+ {"perplexity": 1.7641215853513879, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"The Beatles\", \"Queen\"] entities that are friends or allies as well?", "output": "yes"}
74
+ {"perplexity": 2.2076077347150944, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Benedict Cumberbatch\", \"Hanukkah\"] entities that are friends or allies as well?", "output": "yes"}
75
+ {"perplexity": 1.3122513908588045, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Huawei\", \"China\"] entities that are friends or allies as well?", "output": "yes"}
76
+ {"perplexity": 1.5437090709664694, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Rishi Sunak\", \"Emmanuel Macron\"] entities that are friends or allies as well?", "output": "yes"}
77
+ {"perplexity": 1.371661465665742, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Microsoft\", \"LinkedIn\"] entities that are friends or allies as well?", "output": "yes"}
78
+ {"perplexity": 1.9087579163335628, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Paul Rudd\", \"Memento\"] entities that are friends or allies as well?", "output": "yes"}
79
+ {"perplexity": 1.4774229062394406, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Russia\", \"Georgia\"] entities that are friends or allies as well?", "output": "yes"}
80
+ {"perplexity": 1.387581994432463, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Germany\", \"France\"] entities that are friends or allies as well?", "output": "yes"}
81
+ {"perplexity": 1.3072029584021283, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Stephen Hawking\", \"Brian Cox\"] entities that are friends or allies as well?", "output": "yes"}
82
+ {"perplexity": 1.731260406450198, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Jean-Michel Basquiat\", \"Andy Warhol\"] entities that are friends or allies as well?", "output": "yes"}
83
+ {"perplexity": 1.5115019402473753, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Mark Drakeford\", \"Rishi Sunak\"] entities that are friends or allies as well?", "output": "yes"}
84
+ {"perplexity": 1.9785815506805478, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"J\u00fcrgen Klopp\", \"Exo\"] entities that are friends or allies as well?", "output": "yes"}
85
+ {"perplexity": 1.724026485927666, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Windows\", \"Xbox\"] entities that are friends or allies as well?", "output": "yes"}
86
+ {"perplexity": 2.077407218112697, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Saturn\", \"Rachel Bilson\"] entities that are friends or allies as well?", "output": "yes"}
87
+ {"perplexity": 1.6611979093988312, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Ottoman Empire\", \"Snowpiercer\"] entities that are friends or allies as well?", "output": "yes"}
88
+ {"perplexity": 1.7078066633173523, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Johnny Cash\", \"Waylon Jennings\"] entities that are friends or allies as well?", "output": "yes"}
89
+ {"perplexity": 1.1274341153206022, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"UN\", \"NATO\"] entities that are friends or allies as well?", "output": "yes"}
90
+ {"perplexity": 1.4137403759381368, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Boris Johnson\", \"Emmanuel Macron\"] entities that are friends or allies as well?", "output": "yes"}
91
+ {"perplexity": 1.414958874181002, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Cersei Lannister\", \"Euron Greyjoy\"] entities that are friends or allies as well?", "output": "yes"}
92
+ {"perplexity": 1.2175582743994144, "input": "Answer the question by yes or no. We know that [\"Australia\", \"New Zealand\"],[\"Aznar\", \"Bush\"],[\"Extinction Rebellion\", \"Greta Thunberg\"],[\"Elsa\", \"Anna\"],[\"CIA\", \"MI6\"] are examples of entities that are friends or allies. Are [\"Japan\", \"Taiwan\"] entities that are friends or allies as well?", "output": "yes"}
experiments/results/lm_qa/flan-t5-large/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 1.8830880205498806, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Prince Harry\", \"Monarchy\"] what has influenced different entities as well?", "output": "yes"}
2
+ {"perplexity": 1.7814339419416874, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"F1\", \"social media\"] what has influenced different entities as well?", "output": "yes"}
3
+ {"perplexity": 2.0062568139853445, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Elton John\", \"Elvis Presley\"] what has influenced different entities as well?", "output": "yes"}
4
+ {"perplexity": 2.404147899632663, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Jack Black\", \"Waffen-SS\"] what has influenced different entities as well?", "output": "yes"}
5
+ {"perplexity": 2.070201598744064, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Game of Thrones\", \"Lord of the Rings\"] what has influenced different entities as well?", "output": "yes"}
6
+ {"perplexity": 1.9159146291887337, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Canon\", \"Nikon\"] what has influenced different entities as well?", "output": "yes"}
7
+ {"perplexity": 1.6601306714397412, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Thomas Aquinas\", \"Aristotle\"] what has influenced different entities as well?", "output": "yes"}
8
+ {"perplexity": 3.2868372815890012, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Android\", \"iOS\"] what has influenced different entities as well?", "output": "yes"}
9
+ {"perplexity": 2.146898788452759, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Charles Baudelaire\", \"Tornado MRCA\"] what has influenced different entities as well?", "output": "yes"}
10
+ {"perplexity": 2.0965878824224635, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"trending music\", \"TikTok\"] what has influenced different entities as well?", "output": "yes"}
11
+ {"perplexity": 2.050129370640143, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Xi Jinping\", \"Kim Jong-il\"] what has influenced different entities as well?", "output": "yes"}
12
+ {"perplexity": 1.392434943119017, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Beethoven\", \"romanticism\"] what has influenced different entities as well?", "output": "yes"}
13
+ {"perplexity": 1.378282615682007, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Edgar Allan Poe\", \"Romanticism\"] what has influenced different entities as well?", "output": "yes"}
14
+ {"perplexity": 1.8564213242744616, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"US\", \"NASA\"] what has influenced different entities as well?", "output": "yes"}
15
+ {"perplexity": 2.5573634470583104, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Wales\", \"Westminster\"] what has influenced different entities as well?", "output": "yes"}
16
+ {"perplexity": 2.0320257283061607, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Sierra Leone\", \"Pulp fiction\"] what has influenced different entities as well?", "output": "yes"}
17
+ {"perplexity": 1.0439382386046567, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Ethereum\", \"Bitcoin\"] what has influenced different entities as well?", "output": "yes"}
18
+ {"perplexity": 3.1841939850954333, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Theresa May\", \"David Cameron\"] what has influenced different entities as well?", "output": "yes"}
19
+ {"perplexity": 2.6668344809727746, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Anna Delvey\", \"Bernie Madoff\"] what has influenced different entities as well?", "output": "yes"}
20
+ {"perplexity": 1.6147059378309587, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Lord of the Rings\", \"Beowulf\"] what has influenced different entities as well?", "output": "yes"}
21
+ {"perplexity": 3.053718258028161, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Andrew Johnson\", \"Abraham Lincoln\"] what has influenced different entities as well?", "output": "yes"}
22
+ {"perplexity": 1.8340276570269582, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"LinkedIn\", \"Facebook\"] what has influenced different entities as well?", "output": "yes"}
23
+ {"perplexity": 1.2638256254347182, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Picasso\", \"Cezanne\"] what has influenced different entities as well?", "output": "yes"}
24
+ {"perplexity": 2.530556401051422, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Playstation\", \"Xbox\"] what has influenced different entities as well?", "output": "yes"}
25
+ {"perplexity": 2.60371191873493, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Kevin Spacey\", \"Tenerife\"] what has influenced different entities as well?", "output": "yes"}
26
+ {"perplexity": 2.5161321871524227, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Saudi Arabia\", \"US\"] what has influenced different entities as well?", "output": "yes"}
27
+ {"perplexity": 2.4598632879664915, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Fitbit\", \"heart rate monitor\"] what has influenced different entities as well?", "output": "yes"}
28
+ {"perplexity": 1.5885348221333284, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Taiwan\", \"China\"] what has influenced different entities as well?", "output": "yes"}
29
+ {"perplexity": 1.69117838184652, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Kylian Mbappe\", \"Cristiano Ronaldo\"] what has influenced different entities as well?", "output": "yes"}
30
+ {"perplexity": 1.2028284352365795, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Picasso\", \"cubism\"] what has influenced different entities as well?", "output": "yes"}
31
+ {"perplexity": 2.555136794144, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Miley Cyrus\", \"Lorde\"] what has influenced different entities as well?", "output": "yes"}
32
+ {"perplexity": 1.6405608770074738, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Neymar\", \"Alexis S\u00e1nchez\"] what has influenced different entities as well?", "output": "yes"}
33
+ {"perplexity": 2.1543551831965893, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Smashing Pumpkins\", \"Beatles\"] what has influenced different entities as well?", "output": "yes"}
34
+ {"perplexity": 1.5274783328408328, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Portuguese\", \"The Prestige\"] what has influenced different entities as well?", "output": "yes"}
35
+ {"perplexity": 2.225673080912597, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Luke Evans\", \"Ava Gardner\"] what has influenced different entities as well?", "output": "yes"}
36
+ {"perplexity": 2.8166630236074606, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"MacOS\", \"Linux\"] what has influenced different entities as well?", "output": "yes"}
37
+ {"perplexity": 2.2082082326801626, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Transport for Wales\", \"National Rail\"] what has influenced different entities as well?", "output": "yes"}
38
+ {"perplexity": 1.707245467786419, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Herbie Hancock\", \"Miles Davis\"] what has influenced different entities as well?", "output": "yes"}
39
+ {"perplexity": 1.7067191456956254, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"India\", \"Hinduism\"] what has influenced different entities as well?", "output": "yes"}
40
+ {"perplexity": 1.6264894315863272, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"hip hop\", \"jazz\"] what has influenced different entities as well?", "output": "yes"}
41
+ {"perplexity": 1.7301721850431226, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bob Dylan\", \"Woody Guthrie\"] what has influenced different entities as well?", "output": "yes"}
42
+ {"perplexity": 2.588506419906116, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Tim Burton\", \"German expressionism\"] what has influenced different entities as well?", "output": "yes"}
43
+ {"perplexity": 2.2404736523068873, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Eamon de Valera\", \"James Napper Tandy\"] what has influenced different entities as well?", "output": "yes"}
44
+ {"perplexity": 2.51087093786987, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Joe Biden\", \"Donald Trump\"] what has influenced different entities as well?", "output": "yes"}
45
+ {"perplexity": 2.486831699632909, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Shaquille O'Neal\", \"Selim II\"] what has influenced different entities as well?", "output": "yes"}
46
+ {"perplexity": 2.2228950489531805, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Cobra Kai\", \"Anna Chlumsky\"] what has influenced different entities as well?", "output": "yes"}
47
+ {"perplexity": 1.9946507392308352, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Harry Potter\", \"Wizard of Oz\"] what has influenced different entities as well?", "output": "yes"}
48
+ {"perplexity": 1.8806532972427363, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Coca-Cola\", \"Pepsi\"] what has influenced different entities as well?", "output": "yes"}
49
+ {"perplexity": 2.581641743858724, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Apple Music\", \"Spotify\"] what has influenced different entities as well?", "output": "yes"}
50
+ {"perplexity": 1.6950378540512308, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Singaporean food\", \"Malaysian food\"] what has influenced different entities as well?", "output": "yes"}
51
+ {"perplexity": 1.8614279545748516, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Guess\", \"Gucci\"] what has influenced different entities as well?", "output": "yes"}
52
+ {"perplexity": 1.7858754239602805, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Commonwealth\", \"United Kingdom\"] what has influenced different entities as well?", "output": "yes"}
53
+ {"perplexity": 2.1648083461968977, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"machine learning\", \"Google\"] what has influenced different entities as well?", "output": "yes"}
54
+ {"perplexity": 1.5771149893658047, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Antonio Salazar\", \"fascism\"] what has influenced different entities as well?", "output": "yes"}
55
+ {"perplexity": 2.3314363617058262, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Facebook\", \"LinkedIn\"] what has influenced different entities as well?", "output": "yes"}
56
+ {"perplexity": 2.198660592543283, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Hank Williams\", \"Jimmie Rodgers\"] what has influenced different entities as well?", "output": "yes"}
57
+ {"perplexity": 1.7060994271637822, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"painters\", \"Stable Diffusion\"] what has influenced different entities as well?", "output": "yes"}
58
+ {"perplexity": 3.1187498037690973, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Walmart\", \"Rivaldo\"] what has influenced different entities as well?", "output": "yes"}
59
+ {"perplexity": 2.247969090371569, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Sauron\", \"Shiba Inu\"] what has influenced different entities as well?", "output": "yes"}
60
+ {"perplexity": 1.7894288377854906, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bruno Mars\", \"James Brown\"] what has influenced different entities as well?", "output": "yes"}
61
+ {"perplexity": 1.29441421599216, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Brazil\", \"Spain\"] what has influenced different entities as well?", "output": "yes"}
62
+ {"perplexity": 1.6638589903231493, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"heavy metal\", \"punk music\"] what has influenced different entities as well?", "output": "yes"}
63
+ {"perplexity": 1.930481821911475, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Moon\", \"G\u00f6bekli Tepe\"] what has influenced different entities as well?", "output": "yes"}
64
+ {"perplexity": 1.564892617125564, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"English\", \"William Shakespeare\"] what has influenced different entities as well?", "output": "yes"}
65
+ {"perplexity": 1.6665627762018695, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Beatles\", \"Alice in Wonderland\"] what has influenced different entities as well?", "output": "yes"}
66
+ {"perplexity": 1.024055954984638, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"impressionism\", \"Edouard Manet\"] what has influenced different entities as well?", "output": "yes"}
67
+ {"perplexity": 2.0316561092664447, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Gilbert Gottfried\", \"Mike Krieger\"] what has influenced different entities as well?", "output": "yes"}
68
+ {"perplexity": 2.3257168034580586, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Vladimir Lenin\", \"chess\"] what has influenced different entities as well?", "output": "yes"}
69
+ {"perplexity": 1.8947973177614303, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Pepsi\", \"Coca-Cola\"] what has influenced different entities as well?", "output": "yes"}
70
+ {"perplexity": 2.7783848749466578, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Alicia Vikander\", \"Richard Attenborough\"] what has influenced different entities as well?", "output": "yes"}
71
+ {"perplexity": 2.514578345254582, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Luke Bryan\", \"Hank Williams\"] what has influenced different entities as well?", "output": "yes"}
72
+ {"perplexity": 2.094084676881197, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bill Gates\", \"Steve Jobs\"] what has influenced different entities as well?", "output": "yes"}
73
+ {"perplexity": 2.559796331149178, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Allu Arjun\", \"Aaron Ramsey\"] what has influenced different entities as well?", "output": "yes"}
74
+ {"perplexity": 2.530719004158068, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Stephen King\", \"Arthur Machen\"] what has influenced different entities as well?", "output": "yes"}
75
+ {"perplexity": 1.8151878526788061, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bangladesh\", \"India\"] what has influenced different entities as well?", "output": "yes"}
76
+ {"perplexity": 2.5336044568294285, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"hamburger\", \"Germany\"] what has influenced different entities as well?", "output": "yes"}
77
+ {"perplexity": 1.036936615784897, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Plato\", \"Socrates\"] what has influenced different entities as well?", "output": "yes"}
78
+ {"perplexity": 1.0441949345987784, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Messi\", \"Maradona\"] what has influenced different entities as well?", "output": "yes"}
79
+ {"perplexity": 1.677135503567862, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Oasis\", \"Blur\"] what has influenced different entities as well?", "output": "yes"}
80
+ {"perplexity": 2.0928582081857874, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Quentin Tarantino\", \"Sergio Leone\"] what has influenced different entities as well?", "output": "yes"}
81
+ {"perplexity": 2.6162279839761933, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"European Union\", \"Germany\"] what has influenced different entities as well?", "output": "yes"}
82
+ {"perplexity": 2.7169707368747638, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Stephen Foster\", \"Thomas Moore\"] what has influenced different entities as well?", "output": "yes"}
83
+ {"perplexity": 2.97111812623445, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Hoover\", \"Dyson\"] what has influenced different entities as well?", "output": "yes"}
84
+ {"perplexity": 1.567922268915034, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Mark Rothko\", \"Claude Monet\"] what has influenced different entities as well?", "output": "yes"}
85
+ {"perplexity": 1.6982901634817105, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"James Brown\", \"Michael Jackson\"] what has influenced different entities as well?", "output": "yes"}
86
+ {"perplexity": 2.7002168591634175, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Windows\", \"Linux\"] what has influenced different entities as well?", "output": "yes"}
87
+ {"perplexity": 1.5492284227666813, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Radiohead\", \"David Bowie\"] what has influenced different entities as well?", "output": "yes"}
88
+ {"perplexity": 2.6498531739501625, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"NVIDIA\", \"AMD\"] what has influenced different entities as well?", "output": "yes"}
89
+ {"perplexity": 1.4716073242053211, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"India\", \"Gandhi\"] what has influenced different entities as well?", "output": "yes"}
90
+ {"perplexity": 1.8116120096734165, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Viktor Yushchenko\", \"Bonnie Wright\"] what has influenced different entities as well?", "output": "yes"}
91
+ {"perplexity": 1.1859206546136816, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Beethoven\", \"Mozart\"] what has influenced different entities as well?", "output": "yes"}
92
+ {"perplexity": 1.0684087923483543, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Bitcoin\", \"blockchain\"] what has influenced different entities as well?", "output": "yes"}
93
+ {"perplexity": 1.8397340957042312, "input": "Answer the question by yes or no. We know that [\"Europe\", \"European Union\"],[\"Plato\", \"Socrates\"],[\"Ethereum\", \"Bitcoin\"],[\"Messi\", \"Maradona\"],[\"Impressionism\", \"Edouard Manet\"] are examples of what has influenced different entities. Are [\"Hong Kong\", \"China\"] what has influenced different entities as well?", "output": "yes"}
experiments/results/lm_qa/flan-t5-large/ppl.known_for.jsonl ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 1.7389844175939138, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Hawaii\", \"ukulele\"] examples of what entities are known for as well?", "output": "yes"}
2
+ {"perplexity": 1.0144056466623474, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Paris\", \"Eiffel Tower\"] examples of what entities are known for as well?", "output": "yes"}
3
+ {"perplexity": 1.6443402643341856, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Sweden\", \"pop\"] examples of what entities are known for as well?", "output": "yes"}
4
+ {"perplexity": 1.9146094549524604, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Memphis Depay\", \"Mendelian inheritance\"] examples of what entities are known for as well?", "output": "yes"}
5
+ {"perplexity": 1.4339104978364612, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"beaches\"] examples of what entities are known for as well?", "output": "yes"}
6
+ {"perplexity": 1.6773250480429134, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"cars\"] examples of what entities are known for as well?", "output": "yes"}
7
+ {"perplexity": 1.2363678920843297, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Alphabet Inc.\", \"Google\"] examples of what entities are known for as well?", "output": "yes"}
8
+ {"perplexity": 1.2786204644575883, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Vincent Van Gogh\", \"The Starry Night\"] examples of what entities are known for as well?", "output": "yes"}
9
+ {"perplexity": 1.923409065192201, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"Hawaiian pizza\"] examples of what entities are known for as well?", "output": "yes"}
10
+ {"perplexity": 1.9605602817193886, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Japan\", \"glass product\"] examples of what entities are known for as well?", "output": "yes"}
11
+ {"perplexity": 1.3289966318217605, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"rococo movement\"] examples of what entities are known for as well?", "output": "yes"}
12
+ {"perplexity": 1.7047398460252081, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Europe\", \"The Final Countdown\"] examples of what entities are known for as well?", "output": "yes"}
13
+ {"perplexity": 1.693722421253295, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Sophie Turner\", \"Sylvia Plath\"] examples of what entities are known for as well?", "output": "yes"}
14
+ {"perplexity": 1.5408648818957704, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Bill Nye\", \"scientist\"] examples of what entities are known for as well?", "output": "yes"}
15
+ {"perplexity": 2.287723472183827, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Mercedes Benz\", \"build quality\"] examples of what entities are known for as well?", "output": "yes"}
16
+ {"perplexity": 1.3571692769792603, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Hawaii\", \"beaches\"] examples of what entities are known for as well?", "output": "yes"}
17
+ {"perplexity": 1.6241464738584421, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Jackson Pollock\", \"action painting\"] examples of what entities are known for as well?", "output": "yes"}
18
+ {"perplexity": 3.137355241104455, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Andhra Pradesh\", \"Martinique\"] examples of what entities are known for as well?", "output": "yes"}
19
+ {"perplexity": 1.6670062661145317, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Keanu Reeves\", \"The Matrix\"] examples of what entities are known for as well?", "output": "yes"}
20
+ {"perplexity": 2.350942934432981, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Christopher Columbus\", \"India\"] examples of what entities are known for as well?", "output": "yes"}
21
+ {"perplexity": 1.1697547203420349, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Picasso\", \"Guernica\"] examples of what entities are known for as well?", "output": "yes"}
22
+ {"perplexity": 1.3174091092114038, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"Renaissance\"] examples of what entities are known for as well?", "output": "yes"}
23
+ {"perplexity": 1.673613439129873, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Korea\", \"Breakdance\"] examples of what entities are known for as well?", "output": "yes"}
24
+ {"perplexity": 1.4922107123420503, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Spain\", \"olive oil\"] examples of what entities are known for as well?", "output": "yes"}
25
+ {"perplexity": 1.4232080290182434, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"C.S. Lewis\", \"The Screwtape Letters\"] examples of what entities are known for as well?", "output": "yes"}
26
+ {"perplexity": 1.5828582645515878, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Corsica\", \"Napoleon Bonaparte\"] examples of what entities are known for as well?", "output": "yes"}
27
+ {"perplexity": 1.6987453364828937, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Rafael Nadal\", \"Ralph Macchio\"] examples of what entities are known for as well?", "output": "yes"}
28
+ {"perplexity": 2.21188663500245, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Walther P38\", \"Lupin the Third\"] examples of what entities are known for as well?", "output": "yes"}
29
+ {"perplexity": 2.143845537991232, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Richard Harris\", \"Curcuma longa\"] examples of what entities are known for as well?", "output": "yes"}
30
+ {"perplexity": 2.0518154077990554, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Smashing Pumpkins\", \"Thru the eyes of Ruby\"] examples of what entities are known for as well?", "output": "yes"}
31
+ {"perplexity": 1.7829888021877678, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"India\", \"rum\"] examples of what entities are known for as well?", "output": "yes"}
32
+ {"perplexity": 2.1975578181143676, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Parasite\", \"Jersey\"] examples of what entities are known for as well?", "output": "yes"}
33
+ {"perplexity": 1.8330911625429576, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"India\", \"Gurkhas\"] examples of what entities are known for as well?", "output": "yes"}
34
+ {"perplexity": 1.4079422767958207, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Amazon\", \"Alexa\"] examples of what entities are known for as well?", "output": "yes"}
35
+ {"perplexity": 1.3411697040730206, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Thomas Edison\", \"telephone\"] examples of what entities are known for as well?", "output": "yes"}
36
+ {"perplexity": 1.7861673240345597, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Buffon\", \"PSG\"] examples of what entities are known for as well?", "output": "yes"}
37
+ {"perplexity": 1.291786159675908, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Alfred Hitchcock\", \"horror\"] examples of what entities are known for as well?", "output": "yes"}
38
+ {"perplexity": 1.3259271396336894, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"William Shakespeare\", \"Romeo and Juliet\"] examples of what entities are known for as well?", "output": "yes"}
39
+ {"perplexity": 1.2857250186425762, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Thomas Edison\", \"light bulb\"] examples of what entities are known for as well?", "output": "yes"}
40
+ {"perplexity": 1.804578245086739, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Michael Jordan\", \"Tessa Thompson\"] examples of what entities are known for as well?", "output": "yes"}
41
+ {"perplexity": 1.406659055306773, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Inglourious Basterds\", \"Sergio Busquets\"] examples of what entities are known for as well?", "output": "yes"}
42
+ {"perplexity": 1.987584429322456, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Boris Johnson\", \"Brexit\"] examples of what entities are known for as well?", "output": "yes"}
43
+ {"perplexity": 1.7050127934430053, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Georgia\", \"Joseph Stalin\"] examples of what entities are known for as well?", "output": "yes"}
44
+ {"perplexity": 1.5879459491519166, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"China\", \"coffee\"] examples of what entities are known for as well?", "output": "yes"}
45
+ {"perplexity": 1.4481178074513095, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"OpenAI\", \"ChatGPT\"] examples of what entities are known for as well?", "output": "yes"}
46
+ {"perplexity": 1.4660944611392257, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Tesco\", \"groceries\"] examples of what entities are known for as well?", "output": "yes"}
47
+ {"perplexity": 1.4262924700603312, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Amazon\", \"cloud computing\"] examples of what entities are known for as well?", "output": "yes"}
48
+ {"perplexity": 1.5779861711968581, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Nvidia\", \"GPUs\"] examples of what entities are known for as well?", "output": "yes"}
49
+ {"perplexity": 2.5003347729083134, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Tony Blair\", \"Iraq War\"] examples of what entities are known for as well?", "output": "yes"}
50
+ {"perplexity": 2.0925864085079695, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Germany\", \"techno music\"] examples of what entities are known for as well?", "output": "yes"}
51
+ {"perplexity": 1.4162902291771056, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Michelangelo\", \"Pop Art\"] examples of what entities are known for as well?", "output": "yes"}
52
+ {"perplexity": 2.5697219632727686, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Gilmore Girls\", \"OpenAI\"] examples of what entities are known for as well?", "output": "yes"}
53
+ {"perplexity": 1.4430598247615598, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Ragnar\u00f6k\", \"Little Boy\"] examples of what entities are known for as well?", "output": "yes"}
54
+ {"perplexity": 2.0935507770859325, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Pizzagate\", \"Hillary Clinton\"] examples of what entities are known for as well?", "output": "yes"}
55
+ {"perplexity": 1.6188140354526341, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"George Orwell\", \"Coming Up for Air\"] examples of what entities are known for as well?", "output": "yes"}
56
+ {"perplexity": 1.2480022304070981, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"wine\"] examples of what entities are known for as well?", "output": "yes"}
57
+ {"perplexity": 1.3131441812663722, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Coca-Cola\", \"Pepsi\"] examples of what entities are known for as well?", "output": "yes"}
58
+ {"perplexity": 1.7839277712445336, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Spotify\", \"Podcasts\"] examples of what entities are known for as well?", "output": "yes"}
59
+ {"perplexity": 1.3225597056865421, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Valencia\", \"paella\"] examples of what entities are known for as well?", "output": "yes"}
60
+ {"perplexity": 2.8146491095374264, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"The Office\", \"IBM\"] examples of what entities are known for as well?", "output": "yes"}
61
+ {"perplexity": 1.820200555886014, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Romania\", \"Roman Catholicism\"] examples of what entities are known for as well?", "output": "yes"}
62
+ {"perplexity": 2.271740480986456, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"George Washington\", \"Kiribati\"] examples of what entities are known for as well?", "output": "yes"}
63
+ {"perplexity": 2.003823835479113, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Charles Bronson\", \"Rory McIlroy\"] examples of what entities are known for as well?", "output": "yes"}
64
+ {"perplexity": 1.2053690700477933, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Belgium\", \"wine\"] examples of what entities are known for as well?", "output": "yes"}
65
+ {"perplexity": 1.8511535101363157, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Luka Modri\u0107\", \"Rottweiler\"] examples of what entities are known for as well?", "output": "yes"}
66
+ {"perplexity": 1.4532113184933582, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Switzerland\", \"mountains\"] examples of what entities are known for as well?", "output": "yes"}
67
+ {"perplexity": 2.2329486371451273, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Assassin's Creed\", \"history\"] examples of what entities are known for as well?", "output": "yes"}
68
+ {"perplexity": 1.4349522148220084, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Red Bull\", \"energy drinks\"] examples of what entities are known for as well?", "output": "yes"}
69
+ {"perplexity": 1.739293326642071, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Johnny Cash\", \"Ring of Fire\"] examples of what entities are known for as well?", "output": "yes"}
70
+ {"perplexity": 1.5440915211654558, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Microsoft\", \"Xbox\"] examples of what entities are known for as well?", "output": "yes"}
71
+ {"perplexity": 1.4151473824375025, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Canada\", \"maple syrup\"] examples of what entities are known for as well?", "output": "yes"}
72
+ {"perplexity": 1.4361296734554785, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"cheese\"] examples of what entities are known for as well?", "output": "yes"}
73
+ {"perplexity": 1.5869763774402201, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"beer\"] examples of what entities are known for as well?", "output": "yes"}
74
+ {"perplexity": 1.2986502020632875, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Nintendo\", \"Super Mario Bros.\"] examples of what entities are known for as well?", "output": "yes"}
75
+ {"perplexity": 2.0424541462875974, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"democracy\", \"North Korea\"] examples of what entities are known for as well?", "output": "yes"}
76
+ {"perplexity": 1.0216142674881494, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Apple\", \"iPhone\"] examples of what entities are known for as well?", "output": "yes"}
77
+ {"perplexity": 1.5031442739457055, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Harry Potter\", \"Bloomsbury\"] examples of what entities are known for as well?", "output": "yes"}
78
+ {"perplexity": 1.6721225647970979, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"mountains\"] examples of what entities are known for as well?", "output": "yes"}
79
+ {"perplexity": 2.2832246473220756, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"UK\", \"rain\"] examples of what entities are known for as well?", "output": "yes"}
80
+ {"perplexity": 1.5415780217824573, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Matt Damon\", \"Ocean's Eleven\"] examples of what entities are known for as well?", "output": "yes"}
81
+ {"perplexity": 1.9006163673593965, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Switzerland\", \"banking secrecy\"] examples of what entities are known for as well?", "output": "yes"}
82
+ {"perplexity": 1.3338547956075362, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Adidas\", \"Yeezy Boost\"] examples of what entities are known for as well?", "output": "yes"}
83
+ {"perplexity": 1.3578196554634359, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Portugal\", \"Fado\"] examples of what entities are known for as well?", "output": "yes"}
84
+ {"perplexity": 1.730789918695094, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Italy\", \"tea\"] examples of what entities are known for as well?", "output": "yes"}
85
+ {"perplexity": 1.3817507072811803, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Beatles\", \"Come Together\"] examples of what entities are known for as well?", "output": "yes"}
86
+ {"perplexity": 1.5930352216351347, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Afro-Brazilians\", \"Capoeira\"] examples of what entities are known for as well?", "output": "yes"}
87
+ {"perplexity": 1.3816714392484117, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Steve Jobs\", \"AirPods\"] examples of what entities are known for as well?", "output": "yes"}
88
+ {"perplexity": 1.1999005914532115, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Apple\", \"Apple Watch\"] examples of what entities are known for as well?", "output": "yes"}
89
+ {"perplexity": 1.9524640267158204, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Frank Abagnale Jr\", \"doctor\"] examples of what entities are known for as well?", "output": "yes"}
90
+ {"perplexity": 1.3820013477176003, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Meta\", \"Instagram\"] examples of what entities are known for as well?", "output": "yes"}
91
+ {"perplexity": 1.6528897028453968, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Jeff Goldblum\", \"Jurassic Park\"] examples of what entities are known for as well?", "output": "yes"}
92
+ {"perplexity": 1.023983201594791, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Leonardo Da Vinci\", \"Mona Lisa\"] examples of what entities are known for as well?", "output": "yes"}
93
+ {"perplexity": 1.939264682810072, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Neil Armstrong\", \"Korean War\"] examples of what entities are known for as well?", "output": "yes"}
94
+ {"perplexity": 1.4908394018466113, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"France\", \"baguette\"] examples of what entities are known for as well?", "output": "yes"}
95
+ {"perplexity": 1.498672161537957, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Queen\", \"Bohemian Rhapsody\"] examples of what entities are known for as well?", "output": "yes"}
96
+ {"perplexity": 1.8171872893582133, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Pixar\", \"Novosibirsk\"] examples of what entities are known for as well?", "output": "yes"}
97
+ {"perplexity": 2.1808727361543108, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Greggs\", \"sausage rolls\"] examples of what entities are known for as well?", "output": "yes"}
98
+ {"perplexity": 1.574300269852843, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Japan\", \"sake\"] examples of what entities are known for as well?", "output": "yes"}
99
+ {"perplexity": 1.6264768770857183, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"IKEA\", \"food\"] examples of what entities are known for as well?", "output": "yes"}
100
+ {"perplexity": 1.4741745999380247, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"William Grant & Sons\", \"gin\"] examples of what entities are known for as well?", "output": "yes"}
101
+ {"perplexity": 1.308391746944496, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Netherlands\", \"tulips\"] examples of what entities are known for as well?", "output": "yes"}
102
+ {"perplexity": 1.7009975836470212, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"LAMY\", \"notebook\"] examples of what entities are known for as well?", "output": "yes"}
103
+ {"perplexity": 2.209214034403682, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Harvey Weinstein\", \"Miramax\"] examples of what entities are known for as well?", "output": "yes"}
104
+ {"perplexity": 1.4897294531993925, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Scotland\", \"whisky\"] examples of what entities are known for as well?", "output": "yes"}
105
+ {"perplexity": 1.1563902950763532, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Apple\", \"MacBook\"] examples of what entities are known for as well?", "output": "yes"}
106
+ {"perplexity": 1.0932220240535555, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Steve Jobs\", \"Apple\"] examples of what entities are known for as well?", "output": "yes"}
107
+ {"perplexity": 1.6092468449110506, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Beatles\", \"I Me Mine\"] examples of what entities are known for as well?", "output": "yes"}
108
+ {"perplexity": 1.2035783030346978, "input": "Answer the question by yes or no. We know that [\"Russell Crowe\", \"Gladiator\"],[\"Cadbury\", \"chocolate\"],[\"Paris\", \"Eiffel Tower\"],[\"Leonardo Da Vinci\", \"Mona Lisa\"],[\"Apple\", \"iPhone\"] are examples of examples of what entities are known for. Are [\"Google\", \"search engine\"] examples of what entities are known for as well?", "output": "yes"}