Datasets:

Languages:
English
Size:
< 1K
ArXiv:
Libraries:
Datasets
License:
asahi417 commited on
Commit
499150e
1 Parent(s): 0e99aa8

add result

Browse files
experiments/results_validation/lm_lc/flan-t5-xxl/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 6.0783289794566775, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nadal\", \"Federer\"]"}
2
+ {"perplexity": 9.871253405059448, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Virgin Media\", \"BT\"]"}
3
+ {"perplexity": 11.198967116156417, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"UNIQLO\", \"ZARA\"]"}
4
+ {"perplexity": 5.101932957404198, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"The Notorious B.I.G.\", \"2Pac\"]"}
5
+ {"perplexity": 5.6041968187544215, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"AC Milan\", \"Juventus\"]"}
6
+ {"perplexity": 4.4614086785432505, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"University of Oxford\", \"University of Cambridge\"]"}
7
+ {"perplexity": 5.6126810722379155, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Red Hat\", \"Ubuntu\"]"}
8
+ {"perplexity": 9.09906666959874, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Borussia Dortmund\", \"PSG\"]"}
9
+ {"perplexity": 8.258959087225538, "input": "Complete the following list with examples of entities that 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 FC\", \"Swansea FC\"]"}
10
+ {"perplexity": 4.071690290385285, "input": "Complete the following list with examples of entities that 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\", \"Facebook\"]"}
11
+ {"perplexity": 6.000050913805817, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Doctor Who\", \"Game of Thrones\"]"}
12
+ {"perplexity": 9.94258767518567, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Macallan\", \"Suntory\"]"}
13
+ {"perplexity": 19.358367443836876, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Christopher Lloyd\", \"Coriandrum sativum\"]"}
14
+ {"perplexity": 16.20826840276146, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Wickes\", \"ScrewFix\"]"}
15
+ {"perplexity": 17.92930387741411, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"EE\", \"Three UK\"]"}
16
+ {"perplexity": 7.669877061019454, "input": "Complete the following list with examples of entities that 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\", \"Mexico\"]"}
17
+ {"perplexity": 6.374653464055943, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Marvel Comics\", \"D.C. Comics\"]"}
18
+ {"perplexity": 21.005489968793047, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Betty White\", \"Charli D'Amelio\"]"}
19
+ {"perplexity": 11.246396430058759, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Salieri\", \"Mozart\"]"}
20
+ {"perplexity": 16.689332533503386, "input": "Complete the following list with examples of entities that 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\", \"US\"]"}
experiments/results_validation/lm_lc/flan-t5-xxl/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 9.07420481725383, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Owain Glyndwr\", \"Charles VI of France\"]"}
2
+ {"perplexity": 4.617493533519834, "input": "Complete the following list with examples of entities 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\", \"European Union\"]"}
3
+ {"perplexity": 7.193742327025688, "input": "Complete the following list with examples of entities 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\", \"USA\"]"}
4
+ {"perplexity": 5.621448895691628, "input": "Complete the following list with examples of entities 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 Carlyle\", \"Charles Dickens\"]"}
5
+ {"perplexity": 15.238312541844621, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Abraham Lincoln\", \"George McLellan\"]"}
6
+ {"perplexity": 4.843390071068017, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ukraine\", \"Russia\"]"}
7
+ {"perplexity": 6.140670241560119, "input": "Complete the following list with examples of entities 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\", \"Belarus\"]"}
8
+ {"perplexity": 4.2392727251642475, "input": "Complete the following list with examples of entities 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\", \"Obi-Wan Kenobi\"]"}
9
+ {"perplexity": 5.559451215219955, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Donald Trump\", \"Ron DeSantis\"]"}
10
+ {"perplexity": 11.321136949588615, "input": "Complete the following list with examples of entities 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\", \"OpenAI\"]"}
11
+ {"perplexity": 7.730327535339168, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Frodo\", \"Boromir\"]"}
12
+ {"perplexity": 4.913938824218691, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Lady Gaga\", \"Madonna\"]"}
13
+ {"perplexity": 3.56055409279414, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"England\", \"Scotland\"]"}
14
+ {"perplexity": 5.099265491206346, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Vincent van Gogh\", \"Paul Gauguin\"]"}
15
+ {"perplexity": 8.906846660022325, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Gatsby\", \"Tom Buchanan\"]"}
16
+ {"perplexity": 8.979139817006379, "input": "Complete the following list with examples of entities 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\", \"Rwanda\"]"}
17
+ {"perplexity": 8.990619663001414, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Maximus Decimus Meridius\", \"Juba\"]"}
18
+ {"perplexity": 4.224523213007545, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"CIA\", \"MI6\"]"}
19
+ {"perplexity": 13.27558682154692, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sherlock\", \"Lauryn Hill\"]"}
20
+ {"perplexity": 7.911170041173724, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Schindler's List\", \"Baz Luhrmann\"]"}
experiments/results_validation/lm_lc/flan-t5-xxl/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 7.475672924467779, "input": "Complete the following list with examples 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\", \"Beatles\"]"}
2
+ {"perplexity": 10.589089521422638, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Vincent van gogh\", \"Bipolar disorder\"]"}
3
+ {"perplexity": 12.195713848491, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"UK\", \"Winston Churchill\"]"}
4
+ {"perplexity": 14.987435394240979, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"The Hunger Games\", \"1984\"]"}
5
+ {"perplexity": 11.552094363667841, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Acer\", \"Asus\"]"}
6
+ {"perplexity": 22.75354168732105, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Vape\", \"cigarette\"]"}
7
+ {"perplexity": 10.608210682780882, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Pulp\", \"Beatles\"]"}
8
+ {"perplexity": 16.545240231463573, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Buckingham Palace\", \"Accenture\"]"}
9
+ {"perplexity": 9.454156417148544, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Chester Bennington\", \"Jonathan Banks\"]"}
10
+ {"perplexity": 5.84466706451358, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Mike Tyson\", \"Muhammad Ali\"]"}
11
+ {"perplexity": 20.03835604433191, "input": "Complete the following list with examples 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 Wikipedia\", \"Alexandra Feodorovna\"]"}
12
+ {"perplexity": 12.78911876892355, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Liz Truss\", \"Thatcher\"]"}
13
+ {"perplexity": 9.112355178651653, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Conservative Party\", \"Labour Party\"]"}
14
+ {"perplexity": 4.546599092770002, "input": "Complete the following list with examples 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\", \"Karl Marx\"]"}
15
+ {"perplexity": 4.128903125091555, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Europe\", \"European Union\"]"}
16
+ {"perplexity": 11.00135928992204, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"UK\", \"EU\"]"}
17
+ {"perplexity": 4.933346099803141, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"McDonalds\", \"KFC\"]"}
18
+ {"perplexity": 5.549253747590279, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Boris Johnson\", \"Winston Churchill\"]"}
19
+ {"perplexity": 6.812576794222358, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Rihanna\", \"Stevie Wonder\"]"}
20
+ {"perplexity": 6.923529447643377, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Rhys Ifans\", \"Richard Branson\"]"}
experiments/results_validation/lm_lc/flan-t5-xxl/ppl.known_for.jsonl ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 58.46919544512653, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Le Corbusier\", \"purism art\"]"}
2
+ {"perplexity": 5.494305024787404, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sean Connery\", \"Finding Forrester\"]"}
3
+ {"perplexity": 2.3162183615352765, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Russell Crowe\", \"Gladiator\"]"}
4
+ {"perplexity": 5.363194717171864, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Qualcomm\", \"smartphones\"]"}
5
+ {"perplexity": 8.635551726436614, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Adam Driver\", \"Hannibal Lecter\"]"}
6
+ {"perplexity": 7.170904076905369, "input": "Complete the following list with examples of what entities 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\", \"bagpipes\"]"}
7
+ {"perplexity": 11.098895175331933, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Mount Everest\", \"New Testament\"]"}
8
+ {"perplexity": 7.889446723272933, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Bosch\", \"dishwasher\"]"}
9
+ {"perplexity": 2.925578994108647, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Cadbury\", \"chocolate\"]"}
10
+ {"perplexity": 9.052714704688261, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"John Krasinski\", \"Tony Curtis\"]"}
11
+ {"perplexity": 3.708120185630382, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Ernest Hemingway\", \"To Have and Have Not\"]"}
12
+ {"perplexity": 4.047981144991624, "input": "Complete the following list with examples of what entities 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\", \"pizza\"]"}
13
+ {"perplexity": 10.071784703421091, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Chris Hemsworth\", \"Blackbeard\"]"}
14
+ {"perplexity": 6.895638633396683, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Snap\", \"Snapchat\"]"}
15
+ {"perplexity": 8.372122977274458, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Father's Day\", \"Shirley Temple\"]"}
16
+ {"perplexity": 6.681015109269571, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Rome\", \"Colosseum\"]"}
17
+ {"perplexity": 11.590286973976186, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jared Leto\", \"Steve Irwin\"]"}
18
+ {"perplexity": 4.215611309655841, "input": "Complete the following list with examples of what entities 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 Gates\", \"Microsoft\"]"}
19
+ {"perplexity": 12.580882526442617, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nikola Tesla\", \"robotics\"]"}
20
+ {"perplexity": 7.484586366016868, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"New Zealand\", \"sheep\"]"}
experiments/results_validation/lm_lc/flan-t5-xxl/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 6.31138341172652, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"NATO\", \"United Nations\"]"}
2
+ {"perplexity": 2.7181034478449115, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Tesco\", \"Sainsburys\"]"}
3
+ {"perplexity": 5.139832996167035, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Surrey\", \"Essex\"]"}
4
+ {"perplexity": 50.50641235551226, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Squid Game\", \"Physical: 100\"]"}
5
+ {"perplexity": 5.097760602884846, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Adele\", \"Ed Sheeran\"]"}
6
+ {"perplexity": 5.855313160315029, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sweden\", \"Finland\"]"}
7
+ {"perplexity": 8.721252834710587, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Prada\", \"Versace\"]"}
8
+ {"perplexity": 11.545824675018736, "input": "Complete the following list with examples of entities that 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\", \"Primavera Sound\"]"}
9
+ {"perplexity": 4.659903729989095, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Christianity\", \"Judaism\"]"}
10
+ {"perplexity": 4.490863125600499, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Marvel Comics\", \"DC Comics\"]"}
11
+ {"perplexity": 4.861754211022323, "input": "Complete the following list with examples of entities that 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\", \"Sherlock Holmes\"]"}
12
+ {"perplexity": 5.288344722640748, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Iraq\", \"Iran\"]"}
13
+ {"perplexity": 13.752768358452633, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cornwall\", \"Brittany\"]"}
14
+ {"perplexity": 5.861381291582468, "input": "Complete the following list with examples of entities that 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 Simpsons\", \"Family Guy\"]"}
15
+ {"perplexity": 6.0212600605222315, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Domino's\", \"YO! Sushi\"]"}
16
+ {"perplexity": 15.492088960905152, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sukhoi Su-34\", \"Rita Moreno\"]"}
17
+ {"perplexity": 23.360671551884202, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Kyivan Rus'\", \"Julian calendar\"]"}
18
+ {"perplexity": 7.229289149634511, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"cement\", \"concrete\"]"}
19
+ {"perplexity": 12.006104397798103, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Quora\", \"Stack Overflow\"]"}
20
+ {"perplexity": 17.83691046235619, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Queen\", \"Richard Wagner\"]"}
experiments/results_validation/lm_lc/flan-ul2/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 6.290184797838854, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Nadal\", \"Federer\"]"}
2
+ {"perplexity": 8.569767187491202, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Virgin Media\", \"BT\"]"}
3
+ {"perplexity": 16.61695587985522, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"UNIQLO\", \"ZARA\"]"}
4
+ {"perplexity": 4.856495175341666, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"The Notorious B.I.G.\", \"2Pac\"]"}
5
+ {"perplexity": 7.8751847913855695, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"AC Milan\", \"Juventus\"]"}
6
+ {"perplexity": 5.3234959824433945, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"University of Oxford\", \"University of Cambridge\"]"}
7
+ {"perplexity": 9.579936588669783, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Red Hat\", \"Ubuntu\"]"}
8
+ {"perplexity": 12.380809013242194, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Borussia Dortmund\", \"PSG\"]"}
9
+ {"perplexity": 7.720289415720803, "input": "Complete the following list with examples of entities that 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 FC\", \"Swansea FC\"]"}
10
+ {"perplexity": 7.9348617887345645, "input": "Complete the following list with examples of entities that 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\", \"Facebook\"]"}
11
+ {"perplexity": 7.6375509963224815, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Doctor Who\", \"Game of Thrones\"]"}
12
+ {"perplexity": 12.897125431279203, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Macallan\", \"Suntory\"]"}
13
+ {"perplexity": 15.274624944465353, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Christopher Lloyd\", \"Coriandrum sativum\"]"}
14
+ {"perplexity": 14.621007353857996, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Wickes\", \"ScrewFix\"]"}
15
+ {"perplexity": 22.6263112856197, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"EE\", \"Three UK\"]"}
16
+ {"perplexity": 10.033286377827281, "input": "Complete the following list with examples of entities that 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\", \"Mexico\"]"}
17
+ {"perplexity": 6.920260186908314, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Marvel Comics\", \"D.C. Comics\"]"}
18
+ {"perplexity": 25.234440146810236, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Betty White\", \"Charli D'Amelio\"]"}
19
+ {"perplexity": 12.962469367280175, "input": "Complete the following list with examples of entities that are competitors or rivals:\n* [\"Dell\", \"HP\"]\n* [\"Sprite\", \"7 Up\"]\n* [\"Israel\", \"Palestine\"]\n* [\"Liverpool FC\", \"Manchester United\"]\n* [\"Microsoft Teams\", \"Slack\"]", "output": "* [\"Salieri\", \"Mozart\"]"}
20
+ {"perplexity": 13.447936754529875, "input": "Complete the following list with examples of entities that 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\", \"US\"]"}
experiments/results_validation/lm_lc/flan-ul2/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 20.501993342049083, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Owain Glyndwr\", \"Charles VI of France\"]"}
2
+ {"perplexity": 6.677557069647434, "input": "Complete the following list with examples of entities 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\", \"European Union\"]"}
3
+ {"perplexity": 10.400965930147878, "input": "Complete the following list with examples of entities 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\", \"USA\"]"}
4
+ {"perplexity": 8.426441820404866, "input": "Complete the following list with examples of entities 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 Carlyle\", \"Charles Dickens\"]"}
5
+ {"perplexity": 17.86693390114085, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Abraham Lincoln\", \"George McLellan\"]"}
6
+ {"perplexity": 7.772361660866386, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Ukraine\", \"Russia\"]"}
7
+ {"perplexity": 8.421991007316718, "input": "Complete the following list with examples of entities 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\", \"Belarus\"]"}
8
+ {"perplexity": 4.780243043742306, "input": "Complete the following list with examples of entities 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\", \"Obi-Wan Kenobi\"]"}
9
+ {"perplexity": 8.476710195109096, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Donald Trump\", \"Ron DeSantis\"]"}
10
+ {"perplexity": 17.92927822935753, "input": "Complete the following list with examples of entities 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\", \"OpenAI\"]"}
11
+ {"perplexity": 11.637250872224373, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Frodo\", \"Boromir\"]"}
12
+ {"perplexity": 6.315471639132042, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Lady Gaga\", \"Madonna\"]"}
13
+ {"perplexity": 4.749504331168464, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"England\", \"Scotland\"]"}
14
+ {"perplexity": 6.953597638599058, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Vincent van Gogh\", \"Paul Gauguin\"]"}
15
+ {"perplexity": 11.652237463645108, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Gatsby\", \"Tom Buchanan\"]"}
16
+ {"perplexity": 13.56628047954258, "input": "Complete the following list with examples of entities 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\", \"Rwanda\"]"}
17
+ {"perplexity": 15.016990535125926, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Maximus Decimus Meridius\", \"Juba\"]"}
18
+ {"perplexity": 4.103301121982821, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"CIA\", \"MI6\"]"}
19
+ {"perplexity": 24.37101271380856, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Sherlock\", \"Lauryn Hill\"]"}
20
+ {"perplexity": 10.209578510105901, "input": "Complete the following list with examples of entities that are friends or allies:\n* [\"Australia\", \"New Zealand\"]\n* [\"Aznar\", \"Bush\"]\n* [\"Extinction Rebellion\", \"Greta Thunberg\"]\n* [\"Elsa\", \"Anna\"]\n* [\"CIA\", \"MI6\"]", "output": "* [\"Schindler's List\", \"Baz Luhrmann\"]"}
experiments/results_validation/lm_lc/flan-ul2/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 9.358071143772666, "input": "Complete the following list with examples 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\", \"Beatles\"]"}
2
+ {"perplexity": 13.676855344274879, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Vincent van gogh\", \"Bipolar disorder\"]"}
3
+ {"perplexity": 23.547203650311225, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"UK\", \"Winston Churchill\"]"}
4
+ {"perplexity": 25.853560292533206, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"The Hunger Games\", \"1984\"]"}
5
+ {"perplexity": 39.45799553700666, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Acer\", \"Asus\"]"}
6
+ {"perplexity": 23.34072969632202, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Vape\", \"cigarette\"]"}
7
+ {"perplexity": 21.40394536299267, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Pulp\", \"Beatles\"]"}
8
+ {"perplexity": 29.677734123540358, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Buckingham Palace\", \"Accenture\"]"}
9
+ {"perplexity": 19.440325238470862, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Chester Bennington\", \"Jonathan Banks\"]"}
10
+ {"perplexity": 9.921041896125907, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Mike Tyson\", \"Muhammad Ali\"]"}
11
+ {"perplexity": 20.303667885196806, "input": "Complete the following list with examples 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 Wikipedia\", \"Alexandra Feodorovna\"]"}
12
+ {"perplexity": 25.032590706082832, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Liz Truss\", \"Thatcher\"]"}
13
+ {"perplexity": 6.907034718887319, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Conservative Party\", \"Labour Party\"]"}
14
+ {"perplexity": 6.5410091281474605, "input": "Complete the following list with examples 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\", \"Karl Marx\"]"}
15
+ {"perplexity": 4.724503089552355, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Europe\", \"European Union\"]"}
16
+ {"perplexity": 17.686068222700335, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"UK\", \"EU\"]"}
17
+ {"perplexity": 8.989320777192493, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"McDonalds\", \"KFC\"]"}
18
+ {"perplexity": 10.028995828819626, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Boris Johnson\", \"Winston Churchill\"]"}
19
+ {"perplexity": 10.555059214415824, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Rihanna\", \"Stevie Wonder\"]"}
20
+ {"perplexity": 11.421246506189634, "input": "Complete the following list with examples of what has influenced different entities:\n* [\"Europe\", \"European Union\"]\n* [\"Plato\", \"Socrates\"]\n* [\"Ethereum\", \"Bitcoin\"]\n* [\"Messi\", \"Maradona\"]\n* [\"Impressionism\", \"Edouard Manet\"]", "output": "* [\"Rhys Ifans\", \"Richard Branson\"]"}
experiments/results_validation/lm_lc/flan-ul2/ppl.known_for.jsonl ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 32.275763643672335, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Le Corbusier\", \"purism art\"]"}
2
+ {"perplexity": 4.550944730965176, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Sean Connery\", \"Finding Forrester\"]"}
3
+ {"perplexity": 2.17494778895829, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Russell Crowe\", \"Gladiator\"]"}
4
+ {"perplexity": 7.145015126370047, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Qualcomm\", \"smartphones\"]"}
5
+ {"perplexity": 9.492623128082863, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Adam Driver\", \"Hannibal Lecter\"]"}
6
+ {"perplexity": 5.617463711957883, "input": "Complete the following list with examples of what entities 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\", \"bagpipes\"]"}
7
+ {"perplexity": 19.80185204066857, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Mount Everest\", \"New Testament\"]"}
8
+ {"perplexity": 9.399998627150698, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Bosch\", \"dishwasher\"]"}
9
+ {"perplexity": 2.5863809095364663, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Cadbury\", \"chocolate\"]"}
10
+ {"perplexity": 11.594966252490508, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"John Krasinski\", \"Tony Curtis\"]"}
11
+ {"perplexity": 3.4609732979930325, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Ernest Hemingway\", \"To Have and Have Not\"]"}
12
+ {"perplexity": 4.625159926803248, "input": "Complete the following list with examples of what entities 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\", \"pizza\"]"}
13
+ {"perplexity": 13.39963196814802, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Chris Hemsworth\", \"Blackbeard\"]"}
14
+ {"perplexity": 6.410185577366497, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Snap\", \"Snapchat\"]"}
15
+ {"perplexity": 9.590999984843469, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Father's Day\", \"Shirley Temple\"]"}
16
+ {"perplexity": 6.379276200205497, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Rome\", \"Colosseum\"]"}
17
+ {"perplexity": 17.092421980038388, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Jared Leto\", \"Steve Irwin\"]"}
18
+ {"perplexity": 4.255932753403092, "input": "Complete the following list with examples of what entities 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 Gates\", \"Microsoft\"]"}
19
+ {"perplexity": 17.86246166151005, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"Nikola Tesla\", \"robotics\"]"}
20
+ {"perplexity": 7.322805354881011, "input": "Complete the following list with examples of what entities are known for:\n* [\"Russell Crowe\", \"Gladiator\"]\n* [\"Cadbury\", \"chocolate\"]\n* [\"Paris\", \"Eiffel Tower\"]\n* [\"Leonardo Da Vinci\", \"Mona Lisa\"]\n* [\"Apple\", \"iPhone\"]", "output": "* [\"New Zealand\", \"sheep\"]"}
experiments/results_validation/lm_lc/flan-ul2/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 8.327851845503124, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"NATO\", \"United Nations\"]"}
2
+ {"perplexity": 2.849327892909118, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Tesco\", \"Sainsburys\"]"}
3
+ {"perplexity": 7.037940059682046, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Surrey\", \"Essex\"]"}
4
+ {"perplexity": 46.02484837571332, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Squid Game\", \"Physical: 100\"]"}
5
+ {"perplexity": 6.768726666124209, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Adele\", \"Ed Sheeran\"]"}
6
+ {"perplexity": 5.474891314739564, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sweden\", \"Finland\"]"}
7
+ {"perplexity": 10.598348881764808, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Prada\", \"Versace\"]"}
8
+ {"perplexity": 9.2165292132676, "input": "Complete the following list with examples of entities that 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\", \"Primavera Sound\"]"}
9
+ {"perplexity": 5.7681616782195695, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Christianity\", \"Judaism\"]"}
10
+ {"perplexity": 4.22896076847482, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Marvel Comics\", \"DC Comics\"]"}
11
+ {"perplexity": 6.373405800960569, "input": "Complete the following list with examples of entities that 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\", \"Sherlock Holmes\"]"}
12
+ {"perplexity": 5.897848546214705, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Iraq\", \"Iran\"]"}
13
+ {"perplexity": 11.23588241230172, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Cornwall\", \"Brittany\"]"}
14
+ {"perplexity": 6.716009584806094, "input": "Complete the following list with examples of entities that 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 Simpsons\", \"Family Guy\"]"}
15
+ {"perplexity": 12.429642483069223, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Domino's\", \"YO! Sushi\"]"}
16
+ {"perplexity": 20.71901986747935, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Sukhoi Su-34\", \"Rita Moreno\"]"}
17
+ {"perplexity": 27.01892746721071, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Kyivan Rus'\", \"Julian calendar\"]"}
18
+ {"perplexity": 9.425714898206195, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"cement\", \"concrete\"]"}
19
+ {"perplexity": 8.934977163480728, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Quora\", \"Stack Overflow\"]"}
20
+ {"perplexity": 16.142330195985906, "input": "Complete the following list with examples of entities that are similar:\n* [\"Coca-Cola\", \"Pepsi\"]\n* [\"Ligue 1\", \"Bundesliga\"]\n* [\"Australia\", \"New Zealand\"]\n* [\"The Avengers\", \"The Justice League\"]\n* [\"Tesco\", \"Sainsburys\"]", "output": "* [\"Queen\", \"Richard Wagner\"]"}
experiments/results_validation/lm_lc/lm.csv CHANGED
@@ -1,3 +1,5 @@
1
  model,competitor/rival of,friend/ally of,influenced by,known for,similar to,average
 
 
2
  OPT extsubscript{13B},0.18293043463913933,-0.07761888712460203,0.4647621820473807,0.6573390078875677,0.5596996742460314,0.3574224823391034
3
  GPT-3 extsubscript{davinci},0.35067992034557,0.27957870993424616,0.3555847689726289,0.6990387142702854,0.47985019178293675,0.4329464610611334
 
1
  model,competitor/rival of,friend/ally of,influenced by,known for,similar to,average
2
+ Flan-UL2,0.2907151720613708,0.12057302854307113,0.3154014155492828,0.7225421851405445,0.5348408731018605,0.39681453487922597
3
+ Flan-T5 extsubscript{XXL},0.13283330316120076,0.11831228425788855,0.2835580034024802,0.6816006552375126,0.42862599548585717,0.3289860483089878
4
  OPT extsubscript{13B},0.18293043463913933,-0.07761888712460203,0.4647621820473807,0.6573390078875677,0.5596996742460314,0.3574224823391034
5
  GPT-3 extsubscript{davinci},0.35067992034557,0.27957870993424616,0.3555847689726289,0.6990387142702854,0.47985019178293675,0.4329464610611334
experiments/results_validation/lm_qa/flan-ul2/ppl.competitor__rival_of.jsonl ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 1.108459092585591, "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 [\"Nadal\", \"Federer\"] entities that are competitors or rivals as well?", "output": "yes"}
2
+ {"perplexity": 1.0850321864098966, "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 [\"Virgin Media\", \"BT\"] entities that are competitors or rivals as well?", "output": "yes"}
3
+ {"perplexity": 1.1595929334430604, "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 [\"UNIQLO\", \"ZARA\"] entities that are competitors or rivals as well?", "output": "yes"}
4
+ {"perplexity": 1.9490152499139193, "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 [\"The Notorious B.I.G.\", \"2Pac\"] entities that are competitors or rivals as well?", "output": "yes"}
5
+ {"perplexity": 1.1110391074529269, "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 [\"AC Milan\", \"Juventus\"] entities that are competitors or rivals as well?", "output": "yes"}
6
+ {"perplexity": 1.2450299158403486, "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 [\"University of Oxford\", \"University of Cambridge\"] entities that are competitors or rivals as well?", "output": "yes"}
7
+ {"perplexity": 1.375573237766474, "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 [\"Red Hat\", \"Ubuntu\"] entities that are competitors or rivals as well?", "output": "yes"}
8
+ {"perplexity": 1.140010466923694, "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 [\"Borussia Dortmund\", \"PSG\"] entities that are competitors or rivals as well?", "output": "yes"}
9
+ {"perplexity": 1.1484283674499625, "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 FC\", \"Swansea FC\"] entities that are competitors or rivals as well?", "output": "yes"}
10
+ {"perplexity": 1.1883349811342572, "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\", \"Facebook\"] entities that are competitors or rivals as well?", "output": "yes"}
11
+ {"perplexity": 3.9046203750461275, "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 [\"Doctor Who\", \"Game of Thrones\"] entities that are competitors or rivals as well?", "output": "yes"}
12
+ {"perplexity": 1.7623661415507834, "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 [\"Macallan\", \"Suntory\"] entities that are competitors or rivals as well?", "output": "yes"}
13
+ {"perplexity": 6.275658286524119, "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 [\"Christopher Lloyd\", \"Coriandrum sativum\"] entities that are competitors or rivals as well?", "output": "yes"}
14
+ {"perplexity": 1.630475602959753, "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 [\"Wickes\", \"ScrewFix\"] entities that are competitors or rivals as well?", "output": "yes"}
15
+ {"perplexity": 1.1030068136672952, "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 [\"EE\", \"Three UK\"] entities that are competitors or rivals as well?", "output": "yes"}
16
+ {"perplexity": 1.9082303201183173, "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\", \"Mexico\"] entities that are competitors or rivals as well?", "output": "yes"}
17
+ {"perplexity": 1.2163311360862048, "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 [\"Marvel Comics\", \"D.C. Comics\"] entities that are competitors or rivals as well?", "output": "yes"}
18
+ {"perplexity": 3.7465604770331966, "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 [\"Betty White\", \"Charli D'Amelio\"] entities that are competitors or rivals as well?", "output": "yes"}
19
+ {"perplexity": 2.2531258164548746, "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 [\"Salieri\", \"Mozart\"] entities that are competitors or rivals as well?", "output": "yes"}
20
+ {"perplexity": 1.8269068614503663, "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\", \"US\"] entities that are competitors or rivals as well?", "output": "yes"}
experiments/results_validation/lm_qa/flan-ul2/ppl.friend__ally_of.jsonl ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 4.0839442352838615, "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 [\"Owain Glyndwr\", \"Charles VI of France\"] entities that are friends or allies as well?", "output": "yes"}
2
+ {"perplexity": 1.1385871259077023, "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\", \"European Union\"] entities that are friends or allies as well?", "output": "yes"}
3
+ {"perplexity": 1.0490533184714386, "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\", \"USA\"] entities that are friends or allies as well?", "output": "yes"}
4
+ {"perplexity": 2.8788864338176126, "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 Carlyle\", \"Charles Dickens\"] entities that are friends or allies as well?", "output": "yes"}
5
+ {"perplexity": 2.3298777019780954, "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 [\"Abraham Lincoln\", \"George McLellan\"] entities that are friends or allies as well?", "output": "yes"}
6
+ {"perplexity": 3.1141326939034126, "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 [\"Ukraine\", \"Russia\"] entities that are friends or allies as well?", "output": "yes"}
7
+ {"perplexity": 2.026117831706501, "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\", \"Belarus\"] entities that are friends or allies as well?", "output": "yes"}
8
+ {"perplexity": 4.406617235863378, "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\", \"Obi-Wan Kenobi\"] entities that are friends or allies as well?", "output": "yes"}
9
+ {"perplexity": 3.329485136755618, "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 [\"Donald Trump\", \"Ron DeSantis\"] entities that are friends or allies as well?", "output": "yes"}
10
+ {"perplexity": 1.387841261648516, "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\", \"OpenAI\"] entities that are friends or allies as well?", "output": "yes"}
11
+ {"perplexity": 2.3825310925490357, "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 [\"Frodo\", \"Boromir\"] entities that are friends or allies as well?", "output": "yes"}
12
+ {"perplexity": 2.5290450542380394, "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 [\"Lady Gaga\", \"Madonna\"] entities that are friends or allies as well?", "output": "yes"}
13
+ {"perplexity": 1.778807669371224, "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 [\"England\", \"Scotland\"] entities that are friends or allies as well?", "output": "yes"}
14
+ {"perplexity": 2.9615104905811487, "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 [\"Vincent van Gogh\", \"Paul Gauguin\"] entities that are friends or allies as well?", "output": "yes"}
15
+ {"perplexity": 2.9087089610548915, "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 [\"Gatsby\", \"Tom Buchanan\"] entities that are friends or allies as well?", "output": "yes"}
16
+ {"perplexity": 1.4275239566307312, "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\", \"Rwanda\"] entities that are friends or allies as well?", "output": "yes"}
17
+ {"perplexity": 4.242064751278132, "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 [\"Maximus Decimus Meridius\", \"Juba\"] entities that are friends or allies as well?", "output": "yes"}
18
+ {"perplexity": 1.0189539995602046, "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 [\"CIA\", \"MI6\"] entities that are friends or allies as well?", "output": "yes"}
19
+ {"perplexity": 4.672093511847977, "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 [\"Sherlock\", \"Lauryn Hill\"] entities that are friends or allies as well?", "output": "yes"}
20
+ {"perplexity": 7.636349274396999, "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 [\"Schindler's List\", \"Baz Luhrmann\"] entities that are friends or allies as well?", "output": "yes"}
experiments/results_validation/lm_qa/flan-ul2/ppl.influenced_by.jsonl ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 1.1497134958912194, "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\", \"Beatles\"] what has influenced different entities as well?", "output": "yes"}
2
+ {"perplexity": 1.828870151886847, "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 [\"Vincent van gogh\", \"Bipolar disorder\"] what has influenced different entities as well?", "output": "yes"}
3
+ {"perplexity": 1.4473598620469845, "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 [\"UK\", \"Winston Churchill\"] what has influenced different entities as well?", "output": "yes"}
4
+ {"perplexity": 1.525352778895441, "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 [\"The Hunger Games\", \"1984\"] what has influenced different entities as well?", "output": "yes"}
5
+ {"perplexity": 1.6907500272356675, "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 [\"Acer\", \"Asus\"] what has influenced different entities as well?", "output": "yes"}
6
+ {"perplexity": 1.7978091285965552, "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 [\"Vape\", \"cigarette\"] what has influenced different entities as well?", "output": "yes"}
7
+ {"perplexity": 1.0984558235211133, "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 [\"Pulp\", \"Beatles\"] what has influenced different entities as well?", "output": "yes"}
8
+ {"perplexity": 2.1393116093021214, "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 [\"Buckingham Palace\", \"Accenture\"] what has influenced different entities as well?", "output": "yes"}
9
+ {"perplexity": 3.105638596241068, "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 [\"Chester Bennington\", \"Jonathan Banks\"] what has influenced different entities as well?", "output": "yes"}
10
+ {"perplexity": 1.1567210159611259, "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 [\"Mike Tyson\", \"Muhammad Ali\"] what has influenced different entities as well?", "output": "yes"}
11
+ {"perplexity": 2.267871565718614, "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 Wikipedia\", \"Alexandra Feodorovna\"] what has influenced different entities as well?", "output": "yes"}
12
+ {"perplexity": 1.913950413500596, "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 [\"Liz Truss\", \"Thatcher\"] what has influenced different entities as well?", "output": "yes"}
13
+ {"perplexity": 1.4857488712356006, "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 [\"Conservative Party\", \"Labour Party\"] what has influenced different entities as well?", "output": "yes"}
14
+ {"perplexity": 1.1779477336136666, "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\", \"Karl Marx\"] what has influenced different entities as well?", "output": "yes"}
15
+ {"perplexity": 1.0166381473241994, "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 [\"Europe\", \"European Union\"] what has influenced different entities as well?", "output": "yes"}
16
+ {"perplexity": 1.536811555656937, "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 [\"UK\", \"EU\"] what has influenced different entities as well?", "output": "yes"}
17
+ {"perplexity": 1.8516715061051598, "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 [\"McDonalds\", \"KFC\"] what has influenced different entities as well?", "output": "yes"}
18
+ {"perplexity": 1.6886090758941854, "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 [\"Boris Johnson\", \"Winston Churchill\"] what has influenced different entities as well?", "output": "yes"}
19
+ {"perplexity": 1.117075939084621, "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 [\"Rihanna\", \"Stevie Wonder\"] what has influenced different entities as well?", "output": "yes"}
20
+ {"perplexity": 1.4207938290857955, "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 [\"Rhys Ifans\", \"Richard Branson\"] what has influenced different entities as well?", "output": "yes"}
experiments/results_validation/lm_qa/flan-ul2/ppl.known_for.jsonl ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 1.5249319770161085, "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 [\"Le Corbusier\", \"purism art\"] examples of what entities are known for as well?", "output": "yes"}
2
+ {"perplexity": 1.5920082164310576, "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 [\"Sean Connery\", \"Finding Forrester\"] examples of what entities are known for as well?", "output": "yes"}
3
+ {"perplexity": 1.0426139661572391, "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 [\"Russell Crowe\", \"Gladiator\"] examples of what entities are known for as well?", "output": "yes"}
4
+ {"perplexity": 1.1107873144062959, "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 [\"Qualcomm\", \"smartphones\"] examples of what entities are known for as well?", "output": "yes"}
5
+ {"perplexity": 1.9613235162416531, "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 [\"Adam Driver\", \"Hannibal Lecter\"] examples of what entities are known for as well?", "output": "yes"}
6
+ {"perplexity": 1.3434900472712574, "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\", \"bagpipes\"] examples of what entities are known for as well?", "output": "yes"}
7
+ {"perplexity": 3.199130295383258, "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 [\"Mount Everest\", \"New Testament\"] examples of what entities are known for as well?", "output": "yes"}
8
+ {"perplexity": 1.530106915889076, "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 [\"Bosch\", \"dishwasher\"] examples of what entities are known for as well?", "output": "yes"}
9
+ {"perplexity": 1.0124871123257266, "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 [\"Cadbury\", \"chocolate\"] examples of what entities are known for as well?", "output": "yes"}
10
+ {"perplexity": 1.7914854302282301, "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 [\"John Krasinski\", \"Tony Curtis\"] examples of what entities are known for as well?", "output": "yes"}
11
+ {"perplexity": 1.2477163019811257, "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 [\"Ernest Hemingway\", \"To Have and Have Not\"] examples of what entities are known for as well?", "output": "yes"}
12
+ {"perplexity": 1.2264588361364661, "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\", \"pizza\"] examples of what entities are known for as well?", "output": "yes"}
13
+ {"perplexity": 3.710373517932399, "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 [\"Chris Hemsworth\", \"Blackbeard\"] examples of what entities are known for as well?", "output": "yes"}
14
+ {"perplexity": 1.6275839359021966, "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 [\"Snap\", \"Snapchat\"] examples of what entities are known for as well?", "output": "yes"}
15
+ {"perplexity": 2.4671854811433938, "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 [\"Father's Day\", \"Shirley Temple\"] examples of what entities are known for as well?", "output": "yes"}
16
+ {"perplexity": 1.1344425999607695, "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 [\"Rome\", \"Colosseum\"] examples of what entities are known for as well?", "output": "yes"}
17
+ {"perplexity": 2.3817434937337922, "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 [\"Jared Leto\", \"Steve Irwin\"] examples of what entities are known for as well?", "output": "yes"}
18
+ {"perplexity": 1.0794932209765356, "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 Gates\", \"Microsoft\"] examples of what entities are known for as well?", "output": "yes"}
19
+ {"perplexity": 1.2369405845341872, "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 [\"Nikola Tesla\", \"robotics\"] examples of what entities are known for as well?", "output": "yes"}
20
+ {"perplexity": 2.049827687871107, "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 [\"New Zealand\", \"sheep\"] examples of what entities are known for as well?", "output": "yes"}
experiments/results_validation/lm_qa/flan-ul2/ppl.similar_to.jsonl ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"perplexity": 1.7010744369995443, "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 [\"NATO\", \"United Nations\"] examples of entities that are similar as well?", "output": "yes"}
2
+ {"perplexity": 1.0241829286403052, "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 [\"Tesco\", \"Sainsburys\"] examples of entities that are similar as well?", "output": "yes"}
3
+ {"perplexity": 2.458120602350224, "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 [\"Surrey\", \"Essex\"] examples of entities that are similar as well?", "output": "yes"}
4
+ {"perplexity": 3.9808158012924393, "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 [\"Squid Game\", \"Physical: 100\"] examples of entities that are similar as well?", "output": "yes"}
5
+ {"perplexity": 2.009221053365315, "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 [\"Adele\", \"Ed Sheeran\"] examples of entities that are similar as well?", "output": "yes"}
6
+ {"perplexity": 2.1891306161489266, "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 [\"Sweden\", \"Finland\"] examples of entities that are similar as well?", "output": "yes"}
7
+ {"perplexity": 1.419348172037604, "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 [\"Prada\", \"Versace\"] examples of entities that are similar as well?", "output": "yes"}
8
+ {"perplexity": 3.640536085762862, "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\", \"Primavera Sound\"] examples of entities that are similar as well?", "output": "yes"}
9
+ {"perplexity": 2.629614263967286, "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 [\"Christianity\", \"Judaism\"] examples of entities that are similar as well?", "output": "yes"}
10
+ {"perplexity": 1.0695029175940414, "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 [\"Marvel Comics\", \"DC Comics\"] examples of entities that are similar as well?", "output": "yes"}
11
+ {"perplexity": 1.6696278871485233, "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\", \"Sherlock Holmes\"] examples of entities that are similar as well?", "output": "yes"}
12
+ {"perplexity": 2.4666255565304303, "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 [\"Iraq\", \"Iran\"] examples of entities that are similar as well?", "output": "yes"}
13
+ {"perplexity": 2.0049879696576096, "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 [\"Cornwall\", \"Brittany\"] examples of entities that are similar as well?", "output": "yes"}
14
+ {"perplexity": 1.6623225074660217, "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 Simpsons\", \"Family Guy\"] examples of entities that are similar as well?", "output": "yes"}
15
+ {"perplexity": 2.063168782510348, "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 [\"Domino's\", \"YO! Sushi\"] examples of entities that are similar as well?", "output": "yes"}
16
+ {"perplexity": 5.789860997732178, "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 [\"Sukhoi Su-34\", \"Rita Moreno\"] examples of entities that are similar as well?", "output": "yes"}
17
+ {"perplexity": 4.029660471779371, "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 [\"Kyivan Rus'\", \"Julian calendar\"] examples of entities that are similar as well?", "output": "yes"}
18
+ {"perplexity": 1.5661626964860529, "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 [\"cement\", \"concrete\"] examples of entities that are similar as well?", "output": "yes"}
19
+ {"perplexity": 2.068873075802176, "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 [\"Quora\", \"Stack Overflow\"] examples of entities that are similar as well?", "output": "yes"}
20
+ {"perplexity": 2.2020406184458983, "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 [\"Queen\", \"Richard Wagner\"] examples of entities that are similar as well?", "output": "yes"}
experiments/results_validation/lm_qa/lm.csv CHANGED
@@ -1,4 +1,5 @@
1
  model,competitor/rival of,friend/ally of,influenced by,known for,similar to,average
 
2
  Flan-T5 extsubscript{XXL},0.7021188881377755,0.5945757470030195,0.49054018235669705,0.7824381270357208,0.80904098269211,0.6757427854450646
3
  OPT extsubscript{13B},-0.06148284317747006,0.031650419992556175,0.20394947303547373,0.6042666543095634,0.45951117266497865,0.24757897536502038
4
  GPT-3 extsubscript{davinci},0.3203180224801527,0.18839535709854865,0.19940041415735907,0.6831170081968841,0.4640309546911916,0.3710523513248273
 
1
  model,competitor/rival of,friend/ally of,influenced by,known for,similar to,average
2
+ Flan-UL2,0.6808655596319833,0.5832720255771066,0.29189794467902375,0.7422547736123747,0.6689277398795099,0.5934436086759997
3
  Flan-T5 extsubscript{XXL},0.7021188881377755,0.5945757470030195,0.49054018235669705,0.7824381270357208,0.80904098269211,0.6757427854450646
4
  OPT extsubscript{13B},-0.06148284317747006,0.031650419992556175,0.20394947303547373,0.6042666543095634,0.45951117266497865,0.24757897536502038
5
  GPT-3 extsubscript{davinci},0.3203180224801527,0.18839535709854865,0.19940041415735907,0.6831170081968841,0.4640309546911916,0.3710523513248273