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Datasets:
kilian-group
/
phantom-wiki-v050

Tasks:
Question Answering
Languages:
English
Size:
1M<n<10M
License:
Dataset card Files Community
7

Convert dataset to Parquet

#5
by ag2435 - opened
base: refs/heads/main
←
from: refs/pr/5
Discussion Files changed
+841
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This view is limited to 50 files because it contains too many changes.  See the raw diff here.
Files changed (50) hide show
  1. README.md +544 -0
  2. database/depth_20_size_10000_seed_1-00000-of-00001.parquet +3 -0
  3. database/depth_20_size_10000_seed_2-00000-of-00001.parquet +3 -0
  4. database/depth_20_size_10000_seed_3-00000-of-00001.parquet +3 -0
  5. database/depth_20_size_1000_seed_1-00000-of-00001.parquet +3 -0
  6. database/depth_20_size_1000_seed_2-00000-of-00001.parquet +3 -0
  7. database/depth_20_size_1000_seed_3-00000-of-00001.parquet +3 -0
  8. database/depth_20_size_100_seed_1-00000-of-00001.parquet +3 -0
  9. database/depth_20_size_100_seed_2-00000-of-00001.parquet +3 -0
  10. database/depth_20_size_100_seed_3-00000-of-00001.parquet +3 -0
  11. database/depth_20_size_200_seed_1-00000-of-00001.parquet +3 -0
  12. database/depth_20_size_200_seed_2-00000-of-00001.parquet +3 -0
  13. database/depth_20_size_200_seed_3-00000-of-00001.parquet +3 -0
  14. database/depth_20_size_2500_seed_1-00000-of-00001.parquet +3 -0
  15. database/depth_20_size_2500_seed_2-00000-of-00001.parquet +3 -0
  16. database/depth_20_size_2500_seed_3-00000-of-00001.parquet +3 -0
  17. database/depth_20_size_25_seed_1-00000-of-00001.parquet +3 -0
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  20. database/depth_20_size_300_seed_1-00000-of-00001.parquet +3 -0
  21. database/depth_20_size_300_seed_2-00000-of-00001.parquet +3 -0
  22. database/depth_20_size_300_seed_3-00000-of-00001.parquet +3 -0
  23. database/depth_20_size_400_seed_1-00000-of-00001.parquet +3 -0
  24. database/depth_20_size_400_seed_2-00000-of-00001.parquet +3 -0
  25. database/depth_20_size_400_seed_3-00000-of-00001.parquet +3 -0
  26. database/depth_20_size_5000_seed_1-00000-of-00001.parquet +3 -0
  27. database/depth_20_size_5000_seed_2-00000-of-00001.parquet +3 -0
  28. database/depth_20_size_5000_seed_3-00000-of-00001.parquet +3 -0
  29. database/depth_20_size_500_seed_1-00000-of-00001.parquet +3 -0
  30. database/depth_20_size_500_seed_2-00000-of-00001.parquet +3 -0
  31. database/depth_20_size_500_seed_3-00000-of-00001.parquet +3 -0
  32. database/depth_20_size_50_seed_1-00000-of-00001.parquet +3 -0
  33. database/depth_20_size_50_seed_2-00000-of-00001.parquet +3 -0
  34. database/depth_20_size_50_seed_3-00000-of-00001.parquet +3 -0
  35. question-answer/depth_20_size_10000_seed_1-00000-of-00001.parquet +3 -0
  36. question-answer/depth_20_size_10000_seed_2-00000-of-00001.parquet +3 -0
  37. question-answer/depth_20_size_10000_seed_3-00000-of-00001.parquet +3 -0
  38. question-answer/depth_20_size_1000_seed_1-00000-of-00001.parquet +3 -0
  39. question-answer/depth_20_size_1000_seed_2-00000-of-00001.parquet +3 -0
  40. question-answer/depth_20_size_1000_seed_3-00000-of-00001.parquet +3 -0
  41. question-answer/depth_20_size_100_seed_1-00000-of-00001.parquet +3 -0
  42. question-answer/depth_20_size_100_seed_2-00000-of-00001.parquet +3 -0
  43. question-answer/depth_20_size_100_seed_3-00000-of-00001.parquet +3 -0
  44. question-answer/depth_20_size_200_seed_1-00000-of-00001.parquet +3 -0
  45. question-answer/depth_20_size_200_seed_2-00000-of-00001.parquet +3 -0
  46. question-answer/depth_20_size_200_seed_3-00000-of-00001.parquet +3 -0
  47. question-answer/depth_20_size_2500_seed_1-00000-of-00001.parquet +3 -0
  48. question-answer/depth_20_size_2500_seed_2-00000-of-00001.parquet +3 -0
  49. question-answer/depth_20_size_2500_seed_3-00000-of-00001.parquet +3 -0
  50. question-answer/depth_20_size_25_seed_1-00000-of-00001.parquet +3 -0
README.md CHANGED
@@ -6,6 +6,550 @@ language:
6
  - en
7
  size_categories:
8
  - 1M<n<10M
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9
  ---
10
 
11
  # Dataset Card for PhantomWiki
 
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  - en
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+ - split: depth_20_size_300_seed_1
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+ - split: depth_20_size_300_seed_3
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+ - split: depth_20_size_400_seed_1
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+ - split: depth_20_size_400_seed_2
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+ - split: depth_20_size_500_seed_1
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+ - split: depth_20_size_1000_seed_1
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+ path: database/depth_20_size_1000_seed_1-*
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+ path: database/depth_20_size_1000_seed_3-*
399
+ - split: depth_20_size_2500_seed_1
400
+ path: database/depth_20_size_2500_seed_1-*
401
+ - split: depth_20_size_2500_seed_2
402
+ path: database/depth_20_size_2500_seed_2-*
403
+ - split: depth_20_size_2500_seed_3
404
+ path: database/depth_20_size_2500_seed_3-*
405
+ - split: depth_20_size_5000_seed_1
406
+ path: database/depth_20_size_5000_seed_1-*
407
+ - split: depth_20_size_5000_seed_2
408
+ path: database/depth_20_size_5000_seed_2-*
409
+ - split: depth_20_size_5000_seed_3
410
+ path: database/depth_20_size_5000_seed_3-*
411
+ - split: depth_20_size_10000_seed_1
412
+ path: database/depth_20_size_10000_seed_1-*
413
+ - split: depth_20_size_10000_seed_2
414
+ path: database/depth_20_size_10000_seed_2-*
415
+ - split: depth_20_size_10000_seed_3
416
+ path: database/depth_20_size_10000_seed_3-*
417
+ - config_name: question-answer
418
+ data_files:
419
+ - split: depth_20_size_25_seed_1
420
+ path: question-answer/depth_20_size_25_seed_1-*
421
+ - split: depth_20_size_25_seed_2
422
+ path: question-answer/depth_20_size_25_seed_2-*
423
+ - split: depth_20_size_25_seed_3
424
+ path: question-answer/depth_20_size_25_seed_3-*
425
+ - split: depth_20_size_50_seed_1
426
+ path: question-answer/depth_20_size_50_seed_1-*
427
+ - split: depth_20_size_50_seed_2
428
+ path: question-answer/depth_20_size_50_seed_2-*
429
+ - split: depth_20_size_50_seed_3
430
+ path: question-answer/depth_20_size_50_seed_3-*
431
+ - split: depth_20_size_100_seed_1
432
+ path: question-answer/depth_20_size_100_seed_1-*
433
+ - split: depth_20_size_100_seed_2
434
+ path: question-answer/depth_20_size_100_seed_2-*
435
+ - split: depth_20_size_100_seed_3
436
+ path: question-answer/depth_20_size_100_seed_3-*
437
+ - split: depth_20_size_200_seed_1
438
+ path: question-answer/depth_20_size_200_seed_1-*
439
+ - split: depth_20_size_200_seed_2
440
+ path: question-answer/depth_20_size_200_seed_2-*
441
+ - split: depth_20_size_200_seed_3
442
+ path: question-answer/depth_20_size_200_seed_3-*
443
+ - split: depth_20_size_300_seed_1
444
+ path: question-answer/depth_20_size_300_seed_1-*
445
+ - split: depth_20_size_300_seed_2
446
+ path: question-answer/depth_20_size_300_seed_2-*
447
+ - split: depth_20_size_300_seed_3
448
+ path: question-answer/depth_20_size_300_seed_3-*
449
+ - split: depth_20_size_400_seed_1
450
+ path: question-answer/depth_20_size_400_seed_1-*
451
+ - split: depth_20_size_400_seed_2
452
+ path: question-answer/depth_20_size_400_seed_2-*
453
+ - split: depth_20_size_400_seed_3
454
+ path: question-answer/depth_20_size_400_seed_3-*
455
+ - split: depth_20_size_500_seed_1
456
+ path: question-answer/depth_20_size_500_seed_1-*
457
+ - split: depth_20_size_500_seed_2
458
+ path: question-answer/depth_20_size_500_seed_2-*
459
+ - split: depth_20_size_500_seed_3
460
+ path: question-answer/depth_20_size_500_seed_3-*
461
+ - split: depth_20_size_1000_seed_1
462
+ path: question-answer/depth_20_size_1000_seed_1-*
463
+ - split: depth_20_size_1000_seed_2
464
+ path: question-answer/depth_20_size_1000_seed_2-*
465
+ - split: depth_20_size_1000_seed_3
466
+ path: question-answer/depth_20_size_1000_seed_3-*
467
+ - split: depth_20_size_2500_seed_1
468
+ path: question-answer/depth_20_size_2500_seed_1-*
469
+ - split: depth_20_size_2500_seed_2
470
+ path: question-answer/depth_20_size_2500_seed_2-*
471
+ - split: depth_20_size_2500_seed_3
472
+ path: question-answer/depth_20_size_2500_seed_3-*
473
+ - split: depth_20_size_5000_seed_1
474
+ path: question-answer/depth_20_size_5000_seed_1-*
475
+ - split: depth_20_size_5000_seed_2
476
+ path: question-answer/depth_20_size_5000_seed_2-*
477
+ - split: depth_20_size_5000_seed_3
478
+ path: question-answer/depth_20_size_5000_seed_3-*
479
+ - split: depth_20_size_10000_seed_1
480
+ path: question-answer/depth_20_size_10000_seed_1-*
481
+ - split: depth_20_size_10000_seed_2
482
+ path: question-answer/depth_20_size_10000_seed_2-*
483
+ - split: depth_20_size_10000_seed_3
484
+ path: question-answer/depth_20_size_10000_seed_3-*
485
+ - config_name: text-corpus
486
+ data_files:
487
+ - split: depth_20_size_25_seed_1
488
+ path: text-corpus/depth_20_size_25_seed_1-*
489
+ - split: depth_20_size_25_seed_2
490
+ path: text-corpus/depth_20_size_25_seed_2-*
491
+ - split: depth_20_size_25_seed_3
492
+ path: text-corpus/depth_20_size_25_seed_3-*
493
+ - split: depth_20_size_50_seed_1
494
+ path: text-corpus/depth_20_size_50_seed_1-*
495
+ - split: depth_20_size_50_seed_2
496
+ path: text-corpus/depth_20_size_50_seed_2-*
497
+ - split: depth_20_size_50_seed_3
498
+ path: text-corpus/depth_20_size_50_seed_3-*
499
+ - split: depth_20_size_100_seed_1
500
+ path: text-corpus/depth_20_size_100_seed_1-*
501
+ - split: depth_20_size_100_seed_2
502
+ path: text-corpus/depth_20_size_100_seed_2-*
503
+ - split: depth_20_size_100_seed_3
504
+ path: text-corpus/depth_20_size_100_seed_3-*
505
+ - split: depth_20_size_200_seed_1
506
+ path: text-corpus/depth_20_size_200_seed_1-*
507
+ - split: depth_20_size_200_seed_2
508
+ path: text-corpus/depth_20_size_200_seed_2-*
509
+ - split: depth_20_size_200_seed_3
510
+ path: text-corpus/depth_20_size_200_seed_3-*
511
+ - split: depth_20_size_300_seed_1
512
+ path: text-corpus/depth_20_size_300_seed_1-*
513
+ - split: depth_20_size_300_seed_2
514
+ path: text-corpus/depth_20_size_300_seed_2-*
515
+ - split: depth_20_size_300_seed_3
516
+ path: text-corpus/depth_20_size_300_seed_3-*
517
+ - split: depth_20_size_400_seed_1
518
+ path: text-corpus/depth_20_size_400_seed_1-*
519
+ - split: depth_20_size_400_seed_2
520
+ path: text-corpus/depth_20_size_400_seed_2-*
521
+ - split: depth_20_size_400_seed_3
522
+ path: text-corpus/depth_20_size_400_seed_3-*
523
+ - split: depth_20_size_500_seed_1
524
+ path: text-corpus/depth_20_size_500_seed_1-*
525
+ - split: depth_20_size_500_seed_2
526
+ path: text-corpus/depth_20_size_500_seed_2-*
527
+ - split: depth_20_size_500_seed_3
528
+ path: text-corpus/depth_20_size_500_seed_3-*
529
+ - split: depth_20_size_1000_seed_1
530
+ path: text-corpus/depth_20_size_1000_seed_1-*
531
+ - split: depth_20_size_1000_seed_2
532
+ path: text-corpus/depth_20_size_1000_seed_2-*
533
+ - split: depth_20_size_1000_seed_3
534
+ path: text-corpus/depth_20_size_1000_seed_3-*
535
+ - split: depth_20_size_2500_seed_1
536
+ path: text-corpus/depth_20_size_2500_seed_1-*
537
+ - split: depth_20_size_2500_seed_2
538
+ path: text-corpus/depth_20_size_2500_seed_2-*
539
+ - split: depth_20_size_2500_seed_3
540
+ path: text-corpus/depth_20_size_2500_seed_3-*
541
+ - split: depth_20_size_5000_seed_1
542
+ path: text-corpus/depth_20_size_5000_seed_1-*
543
+ - split: depth_20_size_5000_seed_2
544
+ path: text-corpus/depth_20_size_5000_seed_2-*
545
+ - split: depth_20_size_5000_seed_3
546
+ path: text-corpus/depth_20_size_5000_seed_3-*
547
+ - split: depth_20_size_10000_seed_1
548
+ path: text-corpus/depth_20_size_10000_seed_1-*
549
+ - split: depth_20_size_10000_seed_2
550
+ path: text-corpus/depth_20_size_10000_seed_2-*
551
+ - split: depth_20_size_10000_seed_3
552
+ path: text-corpus/depth_20_size_10000_seed_3-*
553
  ---
554
 
555
  # Dataset Card for PhantomWiki
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