albertvillanova HF staff commited on
Commit
f1264b3
1 Parent(s): 63fb695

Delete legacy dataset_infos.json

Browse files
Files changed (1) hide show
  1. dataset_infos.json +0 -2102
dataset_infos.json DELETED
@@ -1,2102 +0,0 @@
1
- {
2
- "triviaqa_support_only": {
3
- "description": "KILT tasks training and evaluation data.\n- [FEVER](https://fever.ai) | Fact Checking | fever\n- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2\n- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n",
4
- "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan and\n Patrick Lewis and\n Majid Yazdani and\n Nicola De Cao and\n James Thorne and\n Yacine Jernite and\n Vassilis Plachouras and\n Tim Rockt\"aschel and\n Sebastian Riedel},\n title = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},\n journal = {CoRR},\n archivePrefix = {arXiv},\n year = {2020},\n",
5
- "homepage": "https://github.com/facebookresearch/KILT",
6
- "license": "",
7
- "features": {
8
- "id": {
9
- "dtype": "string",
10
- "_type": "Value"
11
- },
12
- "input": {
13
- "dtype": "string",
14
- "_type": "Value"
15
- },
16
- "meta": {
17
- "left_context": {
18
- "dtype": "string",
19
- "_type": "Value"
20
- },
21
- "mention": {
22
- "dtype": "string",
23
- "_type": "Value"
24
- },
25
- "right_context": {
26
- "dtype": "string",
27
- "_type": "Value"
28
- },
29
- "partial_evidence": [
30
- {
31
- "start_paragraph_id": {
32
- "dtype": "int32",
33
- "_type": "Value"
34
- },
35
- "end_paragraph_id": {
36
- "dtype": "int32",
37
- "_type": "Value"
38
- },
39
- "title": {
40
- "dtype": "string",
41
- "_type": "Value"
42
- },
43
- "section": {
44
- "dtype": "string",
45
- "_type": "Value"
46
- },
47
- "wikipedia_id": {
48
- "dtype": "string",
49
- "_type": "Value"
50
- },
51
- "meta": {
52
- "evidence_span": [
53
- {
54
- "dtype": "string",
55
- "_type": "Value"
56
- }
57
- ]
58
- }
59
- }
60
- ],
61
- "obj_surface": [
62
- {
63
- "dtype": "string",
64
- "_type": "Value"
65
- }
66
- ],
67
- "sub_surface": [
68
- {
69
- "dtype": "string",
70
- "_type": "Value"
71
- }
72
- ],
73
- "subj_aliases": [
74
- {
75
- "dtype": "string",
76
- "_type": "Value"
77
- }
78
- ],
79
- "template_questions": [
80
- {
81
- "dtype": "string",
82
- "_type": "Value"
83
- }
84
- ]
85
- },
86
- "output": [
87
- {
88
- "answer": {
89
- "dtype": "string",
90
- "_type": "Value"
91
- },
92
- "meta": {
93
- "score": {
94
- "dtype": "int32",
95
- "_type": "Value"
96
- }
97
- },
98
- "provenance": [
99
- {
100
- "bleu_score": {
101
- "dtype": "float32",
102
- "_type": "Value"
103
- },
104
- "start_character": {
105
- "dtype": "int32",
106
- "_type": "Value"
107
- },
108
- "start_paragraph_id": {
109
- "dtype": "int32",
110
- "_type": "Value"
111
- },
112
- "end_character": {
113
- "dtype": "int32",
114
- "_type": "Value"
115
- },
116
- "end_paragraph_id": {
117
- "dtype": "int32",
118
- "_type": "Value"
119
- },
120
- "meta": {
121
- "fever_page_id": {
122
- "dtype": "string",
123
- "_type": "Value"
124
- },
125
- "fever_sentence_id": {
126
- "dtype": "int32",
127
- "_type": "Value"
128
- },
129
- "annotation_id": {
130
- "dtype": "string",
131
- "_type": "Value"
132
- },
133
- "yes_no_answer": {
134
- "dtype": "string",
135
- "_type": "Value"
136
- },
137
- "evidence_span": [
138
- {
139
- "dtype": "string",
140
- "_type": "Value"
141
- }
142
- ]
143
- },
144
- "section": {
145
- "dtype": "string",
146
- "_type": "Value"
147
- },
148
- "title": {
149
- "dtype": "string",
150
- "_type": "Value"
151
- },
152
- "wikipedia_id": {
153
- "dtype": "string",
154
- "_type": "Value"
155
- }
156
- }
157
- ]
158
- }
159
- ]
160
- },
161
- "builder_name": "kilt_tasks",
162
- "dataset_name": "kilt_tasks",
163
- "config_name": "triviaqa_support_only",
164
- "version": {
165
- "version_str": "1.0.0",
166
- "major": 1,
167
- "minor": 0,
168
- "patch": 0
169
- },
170
- "splits": {
171
- "train": {
172
- "name": "train",
173
- "num_bytes": 72021515,
174
- "num_examples": 61844,
175
- "dataset_name": null
176
- },
177
- "validation": {
178
- "name": "validation",
179
- "num_bytes": 6824398,
180
- "num_examples": 5359,
181
- "dataset_name": null
182
- },
183
- "test": {
184
- "name": "test",
185
- "num_bytes": 340692,
186
- "num_examples": 6586,
187
- "dataset_name": null
188
- }
189
- },
190
- "download_size": 31946196,
191
- "dataset_size": 79186605,
192
- "size_in_bytes": 111132801
193
- },
194
- "fever": {
195
- "description": "KILT tasks training and evaluation data.\n- [FEVER](https://fever.ai) | Fact Checking | fever\n- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2\n- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n",
196
- "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan and\n Patrick Lewis and\n Majid Yazdani and\n Nicola De Cao and\n James Thorne and\n Yacine Jernite and\n Vassilis Plachouras and\n Tim Rockt\"aschel and\n Sebastian Riedel},\n title = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},\n journal = {CoRR},\n archivePrefix = {arXiv},\n year = {2020},\n",
197
- "homepage": "https://github.com/facebookresearch/KILT",
198
- "license": "",
199
- "features": {
200
- "id": {
201
- "dtype": "string",
202
- "_type": "Value"
203
- },
204
- "input": {
205
- "dtype": "string",
206
- "_type": "Value"
207
- },
208
- "meta": {
209
- "left_context": {
210
- "dtype": "string",
211
- "_type": "Value"
212
- },
213
- "mention": {
214
- "dtype": "string",
215
- "_type": "Value"
216
- },
217
- "right_context": {
218
- "dtype": "string",
219
- "_type": "Value"
220
- },
221
- "partial_evidence": [
222
- {
223
- "start_paragraph_id": {
224
- "dtype": "int32",
225
- "_type": "Value"
226
- },
227
- "end_paragraph_id": {
228
- "dtype": "int32",
229
- "_type": "Value"
230
- },
231
- "title": {
232
- "dtype": "string",
233
- "_type": "Value"
234
- },
235
- "section": {
236
- "dtype": "string",
237
- "_type": "Value"
238
- },
239
- "wikipedia_id": {
240
- "dtype": "string",
241
- "_type": "Value"
242
- },
243
- "meta": {
244
- "evidence_span": [
245
- {
246
- "dtype": "string",
247
- "_type": "Value"
248
- }
249
- ]
250
- }
251
- }
252
- ],
253
- "obj_surface": [
254
- {
255
- "dtype": "string",
256
- "_type": "Value"
257
- }
258
- ],
259
- "sub_surface": [
260
- {
261
- "dtype": "string",
262
- "_type": "Value"
263
- }
264
- ],
265
- "subj_aliases": [
266
- {
267
- "dtype": "string",
268
- "_type": "Value"
269
- }
270
- ],
271
- "template_questions": [
272
- {
273
- "dtype": "string",
274
- "_type": "Value"
275
- }
276
- ]
277
- },
278
- "output": [
279
- {
280
- "answer": {
281
- "dtype": "string",
282
- "_type": "Value"
283
- },
284
- "meta": {
285
- "score": {
286
- "dtype": "int32",
287
- "_type": "Value"
288
- }
289
- },
290
- "provenance": [
291
- {
292
- "bleu_score": {
293
- "dtype": "float32",
294
- "_type": "Value"
295
- },
296
- "start_character": {
297
- "dtype": "int32",
298
- "_type": "Value"
299
- },
300
- "start_paragraph_id": {
301
- "dtype": "int32",
302
- "_type": "Value"
303
- },
304
- "end_character": {
305
- "dtype": "int32",
306
- "_type": "Value"
307
- },
308
- "end_paragraph_id": {
309
- "dtype": "int32",
310
- "_type": "Value"
311
- },
312
- "meta": {
313
- "fever_page_id": {
314
- "dtype": "string",
315
- "_type": "Value"
316
- },
317
- "fever_sentence_id": {
318
- "dtype": "int32",
319
- "_type": "Value"
320
- },
321
- "annotation_id": {
322
- "dtype": "string",
323
- "_type": "Value"
324
- },
325
- "yes_no_answer": {
326
- "dtype": "string",
327
- "_type": "Value"
328
- },
329
- "evidence_span": [
330
- {
331
- "dtype": "string",
332
- "_type": "Value"
333
- }
334
- ]
335
- },
336
- "section": {
337
- "dtype": "string",
338
- "_type": "Value"
339
- },
340
- "title": {
341
- "dtype": "string",
342
- "_type": "Value"
343
- },
344
- "wikipedia_id": {
345
- "dtype": "string",
346
- "_type": "Value"
347
- }
348
- }
349
- ]
350
- }
351
- ]
352
- },
353
- "builder_name": "kilt_tasks",
354
- "dataset_name": "kilt_tasks",
355
- "config_name": "fever",
356
- "version": {
357
- "version_str": "1.0.0",
358
- "major": 1,
359
- "minor": 0,
360
- "patch": 0
361
- },
362
- "splits": {
363
- "train": {
364
- "name": "train",
365
- "num_bytes": 23937486,
366
- "num_examples": 104966,
367
- "dataset_name": null
368
- },
369
- "validation": {
370
- "name": "validation",
371
- "num_bytes": 3167751,
372
- "num_examples": 10444,
373
- "dataset_name": null
374
- },
375
- "test": {
376
- "name": "test",
377
- "num_bytes": 1040116,
378
- "num_examples": 10100,
379
- "dataset_name": null
380
- }
381
- },
382
- "download_size": 11571038,
383
- "dataset_size": 28145353,
384
- "size_in_bytes": 39716391
385
- },
386
- "aidayago2": {
387
- "description": "KILT tasks training and evaluation data.\n- [FEVER](https://fever.ai) | Fact Checking | fever\n- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2\n- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n",
388
- "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan and\n Patrick Lewis and\n Majid Yazdani and\n Nicola De Cao and\n James Thorne and\n Yacine Jernite and\n Vassilis Plachouras and\n Tim Rockt\"aschel and\n Sebastian Riedel},\n title = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},\n journal = {CoRR},\n archivePrefix = {arXiv},\n year = {2020},\n",
389
- "homepage": "https://github.com/facebookresearch/KILT",
390
- "license": "",
391
- "features": {
392
- "id": {
393
- "dtype": "string",
394
- "_type": "Value"
395
- },
396
- "input": {
397
- "dtype": "string",
398
- "_type": "Value"
399
- },
400
- "meta": {
401
- "left_context": {
402
- "dtype": "string",
403
- "_type": "Value"
404
- },
405
- "mention": {
406
- "dtype": "string",
407
- "_type": "Value"
408
- },
409
- "right_context": {
410
- "dtype": "string",
411
- "_type": "Value"
412
- },
413
- "partial_evidence": [
414
- {
415
- "start_paragraph_id": {
416
- "dtype": "int32",
417
- "_type": "Value"
418
- },
419
- "end_paragraph_id": {
420
- "dtype": "int32",
421
- "_type": "Value"
422
- },
423
- "title": {
424
- "dtype": "string",
425
- "_type": "Value"
426
- },
427
- "section": {
428
- "dtype": "string",
429
- "_type": "Value"
430
- },
431
- "wikipedia_id": {
432
- "dtype": "string",
433
- "_type": "Value"
434
- },
435
- "meta": {
436
- "evidence_span": [
437
- {
438
- "dtype": "string",
439
- "_type": "Value"
440
- }
441
- ]
442
- }
443
- }
444
- ],
445
- "obj_surface": [
446
- {
447
- "dtype": "string",
448
- "_type": "Value"
449
- }
450
- ],
451
- "sub_surface": [
452
- {
453
- "dtype": "string",
454
- "_type": "Value"
455
- }
456
- ],
457
- "subj_aliases": [
458
- {
459
- "dtype": "string",
460
- "_type": "Value"
461
- }
462
- ],
463
- "template_questions": [
464
- {
465
- "dtype": "string",
466
- "_type": "Value"
467
- }
468
- ]
469
- },
470
- "output": [
471
- {
472
- "answer": {
473
- "dtype": "string",
474
- "_type": "Value"
475
- },
476
- "meta": {
477
- "score": {
478
- "dtype": "int32",
479
- "_type": "Value"
480
- }
481
- },
482
- "provenance": [
483
- {
484
- "bleu_score": {
485
- "dtype": "float32",
486
- "_type": "Value"
487
- },
488
- "start_character": {
489
- "dtype": "int32",
490
- "_type": "Value"
491
- },
492
- "start_paragraph_id": {
493
- "dtype": "int32",
494
- "_type": "Value"
495
- },
496
- "end_character": {
497
- "dtype": "int32",
498
- "_type": "Value"
499
- },
500
- "end_paragraph_id": {
501
- "dtype": "int32",
502
- "_type": "Value"
503
- },
504
- "meta": {
505
- "fever_page_id": {
506
- "dtype": "string",
507
- "_type": "Value"
508
- },
509
- "fever_sentence_id": {
510
- "dtype": "int32",
511
- "_type": "Value"
512
- },
513
- "annotation_id": {
514
- "dtype": "string",
515
- "_type": "Value"
516
- },
517
- "yes_no_answer": {
518
- "dtype": "string",
519
- "_type": "Value"
520
- },
521
- "evidence_span": [
522
- {
523
- "dtype": "string",
524
- "_type": "Value"
525
- }
526
- ]
527
- },
528
- "section": {
529
- "dtype": "string",
530
- "_type": "Value"
531
- },
532
- "title": {
533
- "dtype": "string",
534
- "_type": "Value"
535
- },
536
- "wikipedia_id": {
537
- "dtype": "string",
538
- "_type": "Value"
539
- }
540
- }
541
- ]
542
- }
543
- ]
544
- },
545
- "builder_name": "kilt_tasks",
546
- "dataset_name": "kilt_tasks",
547
- "config_name": "aidayago2",
548
- "version": {
549
- "version_str": "1.0.0",
550
- "major": 1,
551
- "minor": 0,
552
- "patch": 0
553
- },
554
- "splits": {
555
- "train": {
556
- "name": "train",
557
- "num_bytes": 68943890,
558
- "num_examples": 18395,
559
- "dataset_name": null
560
- },
561
- "validation": {
562
- "name": "validation",
563
- "num_bytes": 20743172,
564
- "num_examples": 4784,
565
- "dataset_name": null
566
- },
567
- "test": {
568
- "name": "test",
569
- "num_bytes": 14210587,
570
- "num_examples": 4463,
571
- "dataset_name": null
572
- }
573
- },
574
- "download_size": 13419920,
575
- "dataset_size": 103897649,
576
- "size_in_bytes": 117317569
577
- },
578
- "wned": {
579
- "description": "KILT tasks training and evaluation data.\n- [FEVER](https://fever.ai) | Fact Checking | fever\n- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2\n- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n",
580
- "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan and\n Patrick Lewis and\n Majid Yazdani and\n Nicola De Cao and\n James Thorne and\n Yacine Jernite and\n Vassilis Plachouras and\n Tim Rockt\"aschel and\n Sebastian Riedel},\n title = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},\n journal = {CoRR},\n archivePrefix = {arXiv},\n year = {2020},\n",
581
- "homepage": "https://github.com/facebookresearch/KILT",
582
- "license": "",
583
- "features": {
584
- "id": {
585
- "dtype": "string",
586
- "_type": "Value"
587
- },
588
- "input": {
589
- "dtype": "string",
590
- "_type": "Value"
591
- },
592
- "meta": {
593
- "left_context": {
594
- "dtype": "string",
595
- "_type": "Value"
596
- },
597
- "mention": {
598
- "dtype": "string",
599
- "_type": "Value"
600
- },
601
- "right_context": {
602
- "dtype": "string",
603
- "_type": "Value"
604
- },
605
- "partial_evidence": [
606
- {
607
- "start_paragraph_id": {
608
- "dtype": "int32",
609
- "_type": "Value"
610
- },
611
- "end_paragraph_id": {
612
- "dtype": "int32",
613
- "_type": "Value"
614
- },
615
- "title": {
616
- "dtype": "string",
617
- "_type": "Value"
618
- },
619
- "section": {
620
- "dtype": "string",
621
- "_type": "Value"
622
- },
623
- "wikipedia_id": {
624
- "dtype": "string",
625
- "_type": "Value"
626
- },
627
- "meta": {
628
- "evidence_span": [
629
- {
630
- "dtype": "string",
631
- "_type": "Value"
632
- }
633
- ]
634
- }
635
- }
636
- ],
637
- "obj_surface": [
638
- {
639
- "dtype": "string",
640
- "_type": "Value"
641
- }
642
- ],
643
- "sub_surface": [
644
- {
645
- "dtype": "string",
646
- "_type": "Value"
647
- }
648
- ],
649
- "subj_aliases": [
650
- {
651
- "dtype": "string",
652
- "_type": "Value"
653
- }
654
- ],
655
- "template_questions": [
656
- {
657
- "dtype": "string",
658
- "_type": "Value"
659
- }
660
- ]
661
- },
662
- "output": [
663
- {
664
- "answer": {
665
- "dtype": "string",
666
- "_type": "Value"
667
- },
668
- "meta": {
669
- "score": {
670
- "dtype": "int32",
671
- "_type": "Value"
672
- }
673
- },
674
- "provenance": [
675
- {
676
- "bleu_score": {
677
- "dtype": "float32",
678
- "_type": "Value"
679
- },
680
- "start_character": {
681
- "dtype": "int32",
682
- "_type": "Value"
683
- },
684
- "start_paragraph_id": {
685
- "dtype": "int32",
686
- "_type": "Value"
687
- },
688
- "end_character": {
689
- "dtype": "int32",
690
- "_type": "Value"
691
- },
692
- "end_paragraph_id": {
693
- "dtype": "int32",
694
- "_type": "Value"
695
- },
696
- "meta": {
697
- "fever_page_id": {
698
- "dtype": "string",
699
- "_type": "Value"
700
- },
701
- "fever_sentence_id": {
702
- "dtype": "int32",
703
- "_type": "Value"
704
- },
705
- "annotation_id": {
706
- "dtype": "string",
707
- "_type": "Value"
708
- },
709
- "yes_no_answer": {
710
- "dtype": "string",
711
- "_type": "Value"
712
- },
713
- "evidence_span": [
714
- {
715
- "dtype": "string",
716
- "_type": "Value"
717
- }
718
- ]
719
- },
720
- "section": {
721
- "dtype": "string",
722
- "_type": "Value"
723
- },
724
- "title": {
725
- "dtype": "string",
726
- "_type": "Value"
727
- },
728
- "wikipedia_id": {
729
- "dtype": "string",
730
- "_type": "Value"
731
- }
732
- }
733
- ]
734
- }
735
- ]
736
- },
737
- "builder_name": "kilt_tasks",
738
- "dataset_name": "kilt_tasks",
739
- "config_name": "wned",
740
- "version": {
741
- "version_str": "1.0.0",
742
- "major": 1,
743
- "minor": 0,
744
- "patch": 0
745
- },
746
- "splits": {
747
- "validation": {
748
- "name": "validation",
749
- "num_bytes": 12659518,
750
- "num_examples": 3396,
751
- "dataset_name": null
752
- },
753
- "test": {
754
- "name": "test",
755
- "num_bytes": 13080824,
756
- "num_examples": 3376,
757
- "dataset_name": null
758
- }
759
- },
760
- "download_size": 3608615,
761
- "dataset_size": 25740342,
762
- "size_in_bytes": 29348957
763
- },
764
- "cweb": {
765
- "description": "KILT tasks training and evaluation data.\n- [FEVER](https://fever.ai) | Fact Checking | fever\n- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2\n- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n",
766
- "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan and\n Patrick Lewis and\n Majid Yazdani and\n Nicola De Cao and\n James Thorne and\n Yacine Jernite and\n Vassilis Plachouras and\n Tim Rockt\"aschel and\n Sebastian Riedel},\n title = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},\n journal = {CoRR},\n archivePrefix = {arXiv},\n year = {2020},\n",
767
- "homepage": "https://github.com/facebookresearch/KILT",
768
- "license": "",
769
- "features": {
770
- "id": {
771
- "dtype": "string",
772
- "_type": "Value"
773
- },
774
- "input": {
775
- "dtype": "string",
776
- "_type": "Value"
777
- },
778
- "meta": {
779
- "left_context": {
780
- "dtype": "string",
781
- "_type": "Value"
782
- },
783
- "mention": {
784
- "dtype": "string",
785
- "_type": "Value"
786
- },
787
- "right_context": {
788
- "dtype": "string",
789
- "_type": "Value"
790
- },
791
- "partial_evidence": [
792
- {
793
- "start_paragraph_id": {
794
- "dtype": "int32",
795
- "_type": "Value"
796
- },
797
- "end_paragraph_id": {
798
- "dtype": "int32",
799
- "_type": "Value"
800
- },
801
- "title": {
802
- "dtype": "string",
803
- "_type": "Value"
804
- },
805
- "section": {
806
- "dtype": "string",
807
- "_type": "Value"
808
- },
809
- "wikipedia_id": {
810
- "dtype": "string",
811
- "_type": "Value"
812
- },
813
- "meta": {
814
- "evidence_span": [
815
- {
816
- "dtype": "string",
817
- "_type": "Value"
818
- }
819
- ]
820
- }
821
- }
822
- ],
823
- "obj_surface": [
824
- {
825
- "dtype": "string",
826
- "_type": "Value"
827
- }
828
- ],
829
- "sub_surface": [
830
- {
831
- "dtype": "string",
832
- "_type": "Value"
833
- }
834
- ],
835
- "subj_aliases": [
836
- {
837
- "dtype": "string",
838
- "_type": "Value"
839
- }
840
- ],
841
- "template_questions": [
842
- {
843
- "dtype": "string",
844
- "_type": "Value"
845
- }
846
- ]
847
- },
848
- "output": [
849
- {
850
- "answer": {
851
- "dtype": "string",
852
- "_type": "Value"
853
- },
854
- "meta": {
855
- "score": {
856
- "dtype": "int32",
857
- "_type": "Value"
858
- }
859
- },
860
- "provenance": [
861
- {
862
- "bleu_score": {
863
- "dtype": "float32",
864
- "_type": "Value"
865
- },
866
- "start_character": {
867
- "dtype": "int32",
868
- "_type": "Value"
869
- },
870
- "start_paragraph_id": {
871
- "dtype": "int32",
872
- "_type": "Value"
873
- },
874
- "end_character": {
875
- "dtype": "int32",
876
- "_type": "Value"
877
- },
878
- "end_paragraph_id": {
879
- "dtype": "int32",
880
- "_type": "Value"
881
- },
882
- "meta": {
883
- "fever_page_id": {
884
- "dtype": "string",
885
- "_type": "Value"
886
- },
887
- "fever_sentence_id": {
888
- "dtype": "int32",
889
- "_type": "Value"
890
- },
891
- "annotation_id": {
892
- "dtype": "string",
893
- "_type": "Value"
894
- },
895
- "yes_no_answer": {
896
- "dtype": "string",
897
- "_type": "Value"
898
- },
899
- "evidence_span": [
900
- {
901
- "dtype": "string",
902
- "_type": "Value"
903
- }
904
- ]
905
- },
906
- "section": {
907
- "dtype": "string",
908
- "_type": "Value"
909
- },
910
- "title": {
911
- "dtype": "string",
912
- "_type": "Value"
913
- },
914
- "wikipedia_id": {
915
- "dtype": "string",
916
- "_type": "Value"
917
- }
918
- }
919
- ]
920
- }
921
- ]
922
- },
923
- "builder_name": "kilt_tasks",
924
- "dataset_name": "kilt_tasks",
925
- "config_name": "cweb",
926
- "version": {
927
- "version_str": "1.0.0",
928
- "major": 1,
929
- "minor": 0,
930
- "patch": 0
931
- },
932
- "splits": {
933
- "validation": {
934
- "name": "validation",
935
- "num_bytes": 89819252,
936
- "num_examples": 5599,
937
- "dataset_name": null
938
- },
939
- "test": {
940
- "name": "test",
941
- "num_bytes": 99208393,
942
- "num_examples": 5543,
943
- "dataset_name": null
944
- }
945
- },
946
- "download_size": 32809813,
947
- "dataset_size": 189027645,
948
- "size_in_bytes": 221837458
949
- },
950
- "trex": {
951
- "description": "KILT tasks training and evaluation data.\n- [FEVER](https://fever.ai) | Fact Checking | fever\n- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2\n- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n",
952
- "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan and\n Patrick Lewis and\n Majid Yazdani and\n Nicola De Cao and\n James Thorne and\n Yacine Jernite and\n Vassilis Plachouras and\n Tim Rockt\"aschel and\n Sebastian Riedel},\n title = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},\n journal = {CoRR},\n archivePrefix = {arXiv},\n year = {2020},\n",
953
- "homepage": "https://github.com/facebookresearch/KILT",
954
- "license": "",
955
- "features": {
956
- "id": {
957
- "dtype": "string",
958
- "_type": "Value"
959
- },
960
- "input": {
961
- "dtype": "string",
962
- "_type": "Value"
963
- },
964
- "meta": {
965
- "left_context": {
966
- "dtype": "string",
967
- "_type": "Value"
968
- },
969
- "mention": {
970
- "dtype": "string",
971
- "_type": "Value"
972
- },
973
- "right_context": {
974
- "dtype": "string",
975
- "_type": "Value"
976
- },
977
- "partial_evidence": [
978
- {
979
- "start_paragraph_id": {
980
- "dtype": "int32",
981
- "_type": "Value"
982
- },
983
- "end_paragraph_id": {
984
- "dtype": "int32",
985
- "_type": "Value"
986
- },
987
- "title": {
988
- "dtype": "string",
989
- "_type": "Value"
990
- },
991
- "section": {
992
- "dtype": "string",
993
- "_type": "Value"
994
- },
995
- "wikipedia_id": {
996
- "dtype": "string",
997
- "_type": "Value"
998
- },
999
- "meta": {
1000
- "evidence_span": [
1001
- {
1002
- "dtype": "string",
1003
- "_type": "Value"
1004
- }
1005
- ]
1006
- }
1007
- }
1008
- ],
1009
- "obj_surface": [
1010
- {
1011
- "dtype": "string",
1012
- "_type": "Value"
1013
- }
1014
- ],
1015
- "sub_surface": [
1016
- {
1017
- "dtype": "string",
1018
- "_type": "Value"
1019
- }
1020
- ],
1021
- "subj_aliases": [
1022
- {
1023
- "dtype": "string",
1024
- "_type": "Value"
1025
- }
1026
- ],
1027
- "template_questions": [
1028
- {
1029
- "dtype": "string",
1030
- "_type": "Value"
1031
- }
1032
- ]
1033
- },
1034
- "output": [
1035
- {
1036
- "answer": {
1037
- "dtype": "string",
1038
- "_type": "Value"
1039
- },
1040
- "meta": {
1041
- "score": {
1042
- "dtype": "int32",
1043
- "_type": "Value"
1044
- }
1045
- },
1046
- "provenance": [
1047
- {
1048
- "bleu_score": {
1049
- "dtype": "float32",
1050
- "_type": "Value"
1051
- },
1052
- "start_character": {
1053
- "dtype": "int32",
1054
- "_type": "Value"
1055
- },
1056
- "start_paragraph_id": {
1057
- "dtype": "int32",
1058
- "_type": "Value"
1059
- },
1060
- "end_character": {
1061
- "dtype": "int32",
1062
- "_type": "Value"
1063
- },
1064
- "end_paragraph_id": {
1065
- "dtype": "int32",
1066
- "_type": "Value"
1067
- },
1068
- "meta": {
1069
- "fever_page_id": {
1070
- "dtype": "string",
1071
- "_type": "Value"
1072
- },
1073
- "fever_sentence_id": {
1074
- "dtype": "int32",
1075
- "_type": "Value"
1076
- },
1077
- "annotation_id": {
1078
- "dtype": "string",
1079
- "_type": "Value"
1080
- },
1081
- "yes_no_answer": {
1082
- "dtype": "string",
1083
- "_type": "Value"
1084
- },
1085
- "evidence_span": [
1086
- {
1087
- "dtype": "string",
1088
- "_type": "Value"
1089
- }
1090
- ]
1091
- },
1092
- "section": {
1093
- "dtype": "string",
1094
- "_type": "Value"
1095
- },
1096
- "title": {
1097
- "dtype": "string",
1098
- "_type": "Value"
1099
- },
1100
- "wikipedia_id": {
1101
- "dtype": "string",
1102
- "_type": "Value"
1103
- }
1104
- }
1105
- ]
1106
- }
1107
- ]
1108
- },
1109
- "builder_name": "kilt_tasks",
1110
- "dataset_name": "kilt_tasks",
1111
- "config_name": "trex",
1112
- "version": {
1113
- "version_str": "1.0.0",
1114
- "major": 1,
1115
- "minor": 0,
1116
- "patch": 0
1117
- },
1118
- "splits": {
1119
- "train": {
1120
- "name": "train",
1121
- "num_bytes": 1190183022,
1122
- "num_examples": 2284168,
1123
- "dataset_name": null
1124
- },
1125
- "validation": {
1126
- "name": "validation",
1127
- "num_bytes": 2573444,
1128
- "num_examples": 5000,
1129
- "dataset_name": null
1130
- },
1131
- "test": {
1132
- "name": "test",
1133
- "num_bytes": 757470,
1134
- "num_examples": 5000,
1135
- "dataset_name": null
1136
- }
1137
- },
1138
- "download_size": 546671157,
1139
- "dataset_size": 1193513936,
1140
- "size_in_bytes": 1740185093
1141
- },
1142
- "structured_zeroshot": {
1143
- "description": "KILT tasks training and evaluation data.\n- [FEVER](https://fever.ai) | Fact Checking | fever\n- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2\n- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n",
1144
- "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan and\n Patrick Lewis and\n Majid Yazdani and\n Nicola De Cao and\n James Thorne and\n Yacine Jernite and\n Vassilis Plachouras and\n Tim Rockt\"aschel and\n Sebastian Riedel},\n title = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},\n journal = {CoRR},\n archivePrefix = {arXiv},\n year = {2020},\n",
1145
- "homepage": "https://github.com/facebookresearch/KILT",
1146
- "license": "",
1147
- "features": {
1148
- "id": {
1149
- "dtype": "string",
1150
- "_type": "Value"
1151
- },
1152
- "input": {
1153
- "dtype": "string",
1154
- "_type": "Value"
1155
- },
1156
- "meta": {
1157
- "left_context": {
1158
- "dtype": "string",
1159
- "_type": "Value"
1160
- },
1161
- "mention": {
1162
- "dtype": "string",
1163
- "_type": "Value"
1164
- },
1165
- "right_context": {
1166
- "dtype": "string",
1167
- "_type": "Value"
1168
- },
1169
- "partial_evidence": [
1170
- {
1171
- "start_paragraph_id": {
1172
- "dtype": "int32",
1173
- "_type": "Value"
1174
- },
1175
- "end_paragraph_id": {
1176
- "dtype": "int32",
1177
- "_type": "Value"
1178
- },
1179
- "title": {
1180
- "dtype": "string",
1181
- "_type": "Value"
1182
- },
1183
- "section": {
1184
- "dtype": "string",
1185
- "_type": "Value"
1186
- },
1187
- "wikipedia_id": {
1188
- "dtype": "string",
1189
- "_type": "Value"
1190
- },
1191
- "meta": {
1192
- "evidence_span": [
1193
- {
1194
- "dtype": "string",
1195
- "_type": "Value"
1196
- }
1197
- ]
1198
- }
1199
- }
1200
- ],
1201
- "obj_surface": [
1202
- {
1203
- "dtype": "string",
1204
- "_type": "Value"
1205
- }
1206
- ],
1207
- "sub_surface": [
1208
- {
1209
- "dtype": "string",
1210
- "_type": "Value"
1211
- }
1212
- ],
1213
- "subj_aliases": [
1214
- {
1215
- "dtype": "string",
1216
- "_type": "Value"
1217
- }
1218
- ],
1219
- "template_questions": [
1220
- {
1221
- "dtype": "string",
1222
- "_type": "Value"
1223
- }
1224
- ]
1225
- },
1226
- "output": [
1227
- {
1228
- "answer": {
1229
- "dtype": "string",
1230
- "_type": "Value"
1231
- },
1232
- "meta": {
1233
- "score": {
1234
- "dtype": "int32",
1235
- "_type": "Value"
1236
- }
1237
- },
1238
- "provenance": [
1239
- {
1240
- "bleu_score": {
1241
- "dtype": "float32",
1242
- "_type": "Value"
1243
- },
1244
- "start_character": {
1245
- "dtype": "int32",
1246
- "_type": "Value"
1247
- },
1248
- "start_paragraph_id": {
1249
- "dtype": "int32",
1250
- "_type": "Value"
1251
- },
1252
- "end_character": {
1253
- "dtype": "int32",
1254
- "_type": "Value"
1255
- },
1256
- "end_paragraph_id": {
1257
- "dtype": "int32",
1258
- "_type": "Value"
1259
- },
1260
- "meta": {
1261
- "fever_page_id": {
1262
- "dtype": "string",
1263
- "_type": "Value"
1264
- },
1265
- "fever_sentence_id": {
1266
- "dtype": "int32",
1267
- "_type": "Value"
1268
- },
1269
- "annotation_id": {
1270
- "dtype": "string",
1271
- "_type": "Value"
1272
- },
1273
- "yes_no_answer": {
1274
- "dtype": "string",
1275
- "_type": "Value"
1276
- },
1277
- "evidence_span": [
1278
- {
1279
- "dtype": "string",
1280
- "_type": "Value"
1281
- }
1282
- ]
1283
- },
1284
- "section": {
1285
- "dtype": "string",
1286
- "_type": "Value"
1287
- },
1288
- "title": {
1289
- "dtype": "string",
1290
- "_type": "Value"
1291
- },
1292
- "wikipedia_id": {
1293
- "dtype": "string",
1294
- "_type": "Value"
1295
- }
1296
- }
1297
- ]
1298
- }
1299
- ]
1300
- },
1301
- "builder_name": "kilt_tasks",
1302
- "dataset_name": "kilt_tasks",
1303
- "config_name": "structured_zeroshot",
1304
- "version": {
1305
- "version_str": "1.0.0",
1306
- "major": 1,
1307
- "minor": 0,
1308
- "patch": 0
1309
- },
1310
- "splits": {
1311
- "train": {
1312
- "name": "train",
1313
- "num_bytes": 47165561,
1314
- "num_examples": 147909,
1315
- "dataset_name": null
1316
- },
1317
- "validation": {
1318
- "name": "validation",
1319
- "num_bytes": 1612123,
1320
- "num_examples": 3724,
1321
- "dataset_name": null
1322
- },
1323
- "test": {
1324
- "name": "test",
1325
- "num_bytes": 1140265,
1326
- "num_examples": 4966,
1327
- "dataset_name": null
1328
- }
1329
- },
1330
- "download_size": 21038900,
1331
- "dataset_size": 49917949,
1332
- "size_in_bytes": 70956849
1333
- },
1334
- "nq": {
1335
- "description": "KILT tasks training and evaluation data.\n- [FEVER](https://fever.ai) | Fact Checking | fever\n- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2\n- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n",
1336
- "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan and\n Patrick Lewis and\n Majid Yazdani and\n Nicola De Cao and\n James Thorne and\n Yacine Jernite and\n Vassilis Plachouras and\n Tim Rockt\"aschel and\n Sebastian Riedel},\n title = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},\n journal = {CoRR},\n archivePrefix = {arXiv},\n year = {2020},\n",
1337
- "homepage": "https://github.com/facebookresearch/KILT",
1338
- "license": "",
1339
- "features": {
1340
- "id": {
1341
- "dtype": "string",
1342
- "_type": "Value"
1343
- },
1344
- "input": {
1345
- "dtype": "string",
1346
- "_type": "Value"
1347
- },
1348
- "meta": {
1349
- "left_context": {
1350
- "dtype": "string",
1351
- "_type": "Value"
1352
- },
1353
- "mention": {
1354
- "dtype": "string",
1355
- "_type": "Value"
1356
- },
1357
- "right_context": {
1358
- "dtype": "string",
1359
- "_type": "Value"
1360
- },
1361
- "partial_evidence": [
1362
- {
1363
- "start_paragraph_id": {
1364
- "dtype": "int32",
1365
- "_type": "Value"
1366
- },
1367
- "end_paragraph_id": {
1368
- "dtype": "int32",
1369
- "_type": "Value"
1370
- },
1371
- "title": {
1372
- "dtype": "string",
1373
- "_type": "Value"
1374
- },
1375
- "section": {
1376
- "dtype": "string",
1377
- "_type": "Value"
1378
- },
1379
- "wikipedia_id": {
1380
- "dtype": "string",
1381
- "_type": "Value"
1382
- },
1383
- "meta": {
1384
- "evidence_span": [
1385
- {
1386
- "dtype": "string",
1387
- "_type": "Value"
1388
- }
1389
- ]
1390
- }
1391
- }
1392
- ],
1393
- "obj_surface": [
1394
- {
1395
- "dtype": "string",
1396
- "_type": "Value"
1397
- }
1398
- ],
1399
- "sub_surface": [
1400
- {
1401
- "dtype": "string",
1402
- "_type": "Value"
1403
- }
1404
- ],
1405
- "subj_aliases": [
1406
- {
1407
- "dtype": "string",
1408
- "_type": "Value"
1409
- }
1410
- ],
1411
- "template_questions": [
1412
- {
1413
- "dtype": "string",
1414
- "_type": "Value"
1415
- }
1416
- ]
1417
- },
1418
- "output": [
1419
- {
1420
- "answer": {
1421
- "dtype": "string",
1422
- "_type": "Value"
1423
- },
1424
- "meta": {
1425
- "score": {
1426
- "dtype": "int32",
1427
- "_type": "Value"
1428
- }
1429
- },
1430
- "provenance": [
1431
- {
1432
- "bleu_score": {
1433
- "dtype": "float32",
1434
- "_type": "Value"
1435
- },
1436
- "start_character": {
1437
- "dtype": "int32",
1438
- "_type": "Value"
1439
- },
1440
- "start_paragraph_id": {
1441
- "dtype": "int32",
1442
- "_type": "Value"
1443
- },
1444
- "end_character": {
1445
- "dtype": "int32",
1446
- "_type": "Value"
1447
- },
1448
- "end_paragraph_id": {
1449
- "dtype": "int32",
1450
- "_type": "Value"
1451
- },
1452
- "meta": {
1453
- "fever_page_id": {
1454
- "dtype": "string",
1455
- "_type": "Value"
1456
- },
1457
- "fever_sentence_id": {
1458
- "dtype": "int32",
1459
- "_type": "Value"
1460
- },
1461
- "annotation_id": {
1462
- "dtype": "string",
1463
- "_type": "Value"
1464
- },
1465
- "yes_no_answer": {
1466
- "dtype": "string",
1467
- "_type": "Value"
1468
- },
1469
- "evidence_span": [
1470
- {
1471
- "dtype": "string",
1472
- "_type": "Value"
1473
- }
1474
- ]
1475
- },
1476
- "section": {
1477
- "dtype": "string",
1478
- "_type": "Value"
1479
- },
1480
- "title": {
1481
- "dtype": "string",
1482
- "_type": "Value"
1483
- },
1484
- "wikipedia_id": {
1485
- "dtype": "string",
1486
- "_type": "Value"
1487
- }
1488
- }
1489
- ]
1490
- }
1491
- ]
1492
- },
1493
- "builder_name": "kilt_tasks",
1494
- "dataset_name": "kilt_tasks",
1495
- "config_name": "nq",
1496
- "version": {
1497
- "version_str": "1.0.0",
1498
- "major": 1,
1499
- "minor": 0,
1500
- "patch": 0
1501
- },
1502
- "splits": {
1503
- "train": {
1504
- "name": "train",
1505
- "num_bytes": 30385368,
1506
- "num_examples": 87372,
1507
- "dataset_name": null
1508
- },
1509
- "validation": {
1510
- "name": "validation",
1511
- "num_bytes": 6190373,
1512
- "num_examples": 2837,
1513
- "dataset_name": null
1514
- },
1515
- "test": {
1516
- "name": "test",
1517
- "num_bytes": 333162,
1518
- "num_examples": 1444,
1519
- "dataset_name": null
1520
- }
1521
- },
1522
- "download_size": 16535475,
1523
- "dataset_size": 36908903,
1524
- "size_in_bytes": 53444378
1525
- },
1526
- "hotpotqa": {
1527
- "description": "KILT tasks training and evaluation data.\n- [FEVER](https://fever.ai) | Fact Checking | fever\n- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2\n- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n",
1528
- "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan and\n Patrick Lewis and\n Majid Yazdani and\n Nicola De Cao and\n James Thorne and\n Yacine Jernite and\n Vassilis Plachouras and\n Tim Rockt\"aschel and\n Sebastian Riedel},\n title = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},\n journal = {CoRR},\n archivePrefix = {arXiv},\n year = {2020},\n",
1529
- "homepage": "https://github.com/facebookresearch/KILT",
1530
- "license": "",
1531
- "features": {
1532
- "id": {
1533
- "dtype": "string",
1534
- "_type": "Value"
1535
- },
1536
- "input": {
1537
- "dtype": "string",
1538
- "_type": "Value"
1539
- },
1540
- "meta": {
1541
- "left_context": {
1542
- "dtype": "string",
1543
- "_type": "Value"
1544
- },
1545
- "mention": {
1546
- "dtype": "string",
1547
- "_type": "Value"
1548
- },
1549
- "right_context": {
1550
- "dtype": "string",
1551
- "_type": "Value"
1552
- },
1553
- "partial_evidence": [
1554
- {
1555
- "start_paragraph_id": {
1556
- "dtype": "int32",
1557
- "_type": "Value"
1558
- },
1559
- "end_paragraph_id": {
1560
- "dtype": "int32",
1561
- "_type": "Value"
1562
- },
1563
- "title": {
1564
- "dtype": "string",
1565
- "_type": "Value"
1566
- },
1567
- "section": {
1568
- "dtype": "string",
1569
- "_type": "Value"
1570
- },
1571
- "wikipedia_id": {
1572
- "dtype": "string",
1573
- "_type": "Value"
1574
- },
1575
- "meta": {
1576
- "evidence_span": [
1577
- {
1578
- "dtype": "string",
1579
- "_type": "Value"
1580
- }
1581
- ]
1582
- }
1583
- }
1584
- ],
1585
- "obj_surface": [
1586
- {
1587
- "dtype": "string",
1588
- "_type": "Value"
1589
- }
1590
- ],
1591
- "sub_surface": [
1592
- {
1593
- "dtype": "string",
1594
- "_type": "Value"
1595
- }
1596
- ],
1597
- "subj_aliases": [
1598
- {
1599
- "dtype": "string",
1600
- "_type": "Value"
1601
- }
1602
- ],
1603
- "template_questions": [
1604
- {
1605
- "dtype": "string",
1606
- "_type": "Value"
1607
- }
1608
- ]
1609
- },
1610
- "output": [
1611
- {
1612
- "answer": {
1613
- "dtype": "string",
1614
- "_type": "Value"
1615
- },
1616
- "meta": {
1617
- "score": {
1618
- "dtype": "int32",
1619
- "_type": "Value"
1620
- }
1621
- },
1622
- "provenance": [
1623
- {
1624
- "bleu_score": {
1625
- "dtype": "float32",
1626
- "_type": "Value"
1627
- },
1628
- "start_character": {
1629
- "dtype": "int32",
1630
- "_type": "Value"
1631
- },
1632
- "start_paragraph_id": {
1633
- "dtype": "int32",
1634
- "_type": "Value"
1635
- },
1636
- "end_character": {
1637
- "dtype": "int32",
1638
- "_type": "Value"
1639
- },
1640
- "end_paragraph_id": {
1641
- "dtype": "int32",
1642
- "_type": "Value"
1643
- },
1644
- "meta": {
1645
- "fever_page_id": {
1646
- "dtype": "string",
1647
- "_type": "Value"
1648
- },
1649
- "fever_sentence_id": {
1650
- "dtype": "int32",
1651
- "_type": "Value"
1652
- },
1653
- "annotation_id": {
1654
- "dtype": "string",
1655
- "_type": "Value"
1656
- },
1657
- "yes_no_answer": {
1658
- "dtype": "string",
1659
- "_type": "Value"
1660
- },
1661
- "evidence_span": [
1662
- {
1663
- "dtype": "string",
1664
- "_type": "Value"
1665
- }
1666
- ]
1667
- },
1668
- "section": {
1669
- "dtype": "string",
1670
- "_type": "Value"
1671
- },
1672
- "title": {
1673
- "dtype": "string",
1674
- "_type": "Value"
1675
- },
1676
- "wikipedia_id": {
1677
- "dtype": "string",
1678
- "_type": "Value"
1679
- }
1680
- }
1681
- ]
1682
- }
1683
- ]
1684
- },
1685
- "builder_name": "kilt_tasks",
1686
- "dataset_name": "kilt_tasks",
1687
- "config_name": "hotpotqa",
1688
- "version": {
1689
- "version_str": "1.0.0",
1690
- "major": 1,
1691
- "minor": 0,
1692
- "patch": 0
1693
- },
1694
- "splits": {
1695
- "train": {
1696
- "name": "train",
1697
- "num_bytes": 33595295,
1698
- "num_examples": 88869,
1699
- "dataset_name": null
1700
- },
1701
- "validation": {
1702
- "name": "validation",
1703
- "num_bytes": 2371262,
1704
- "num_examples": 5600,
1705
- "dataset_name": null
1706
- },
1707
- "test": {
1708
- "name": "test",
1709
- "num_bytes": 887204,
1710
- "num_examples": 5569,
1711
- "dataset_name": null
1712
- }
1713
- },
1714
- "download_size": 17914796,
1715
- "dataset_size": 36853761,
1716
- "size_in_bytes": 54768557
1717
- },
1718
- "eli5": {
1719
- "description": "KILT tasks training and evaluation data.\n- [FEVER](https://fever.ai) | Fact Checking | fever\n- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2\n- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n",
1720
- "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan and\n Patrick Lewis and\n Majid Yazdani and\n Nicola De Cao and\n James Thorne and\n Yacine Jernite and\n Vassilis Plachouras and\n Tim Rockt\"aschel and\n Sebastian Riedel},\n title = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},\n journal = {CoRR},\n archivePrefix = {arXiv},\n year = {2020},\n",
1721
- "homepage": "https://github.com/facebookresearch/KILT",
1722
- "license": "",
1723
- "features": {
1724
- "id": {
1725
- "dtype": "string",
1726
- "_type": "Value"
1727
- },
1728
- "input": {
1729
- "dtype": "string",
1730
- "_type": "Value"
1731
- },
1732
- "meta": {
1733
- "left_context": {
1734
- "dtype": "string",
1735
- "_type": "Value"
1736
- },
1737
- "mention": {
1738
- "dtype": "string",
1739
- "_type": "Value"
1740
- },
1741
- "right_context": {
1742
- "dtype": "string",
1743
- "_type": "Value"
1744
- },
1745
- "partial_evidence": [
1746
- {
1747
- "start_paragraph_id": {
1748
- "dtype": "int32",
1749
- "_type": "Value"
1750
- },
1751
- "end_paragraph_id": {
1752
- "dtype": "int32",
1753
- "_type": "Value"
1754
- },
1755
- "title": {
1756
- "dtype": "string",
1757
- "_type": "Value"
1758
- },
1759
- "section": {
1760
- "dtype": "string",
1761
- "_type": "Value"
1762
- },
1763
- "wikipedia_id": {
1764
- "dtype": "string",
1765
- "_type": "Value"
1766
- },
1767
- "meta": {
1768
- "evidence_span": [
1769
- {
1770
- "dtype": "string",
1771
- "_type": "Value"
1772
- }
1773
- ]
1774
- }
1775
- }
1776
- ],
1777
- "obj_surface": [
1778
- {
1779
- "dtype": "string",
1780
- "_type": "Value"
1781
- }
1782
- ],
1783
- "sub_surface": [
1784
- {
1785
- "dtype": "string",
1786
- "_type": "Value"
1787
- }
1788
- ],
1789
- "subj_aliases": [
1790
- {
1791
- "dtype": "string",
1792
- "_type": "Value"
1793
- }
1794
- ],
1795
- "template_questions": [
1796
- {
1797
- "dtype": "string",
1798
- "_type": "Value"
1799
- }
1800
- ]
1801
- },
1802
- "output": [
1803
- {
1804
- "answer": {
1805
- "dtype": "string",
1806
- "_type": "Value"
1807
- },
1808
- "meta": {
1809
- "score": {
1810
- "dtype": "int32",
1811
- "_type": "Value"
1812
- }
1813
- },
1814
- "provenance": [
1815
- {
1816
- "bleu_score": {
1817
- "dtype": "float32",
1818
- "_type": "Value"
1819
- },
1820
- "start_character": {
1821
- "dtype": "int32",
1822
- "_type": "Value"
1823
- },
1824
- "start_paragraph_id": {
1825
- "dtype": "int32",
1826
- "_type": "Value"
1827
- },
1828
- "end_character": {
1829
- "dtype": "int32",
1830
- "_type": "Value"
1831
- },
1832
- "end_paragraph_id": {
1833
- "dtype": "int32",
1834
- "_type": "Value"
1835
- },
1836
- "meta": {
1837
- "fever_page_id": {
1838
- "dtype": "string",
1839
- "_type": "Value"
1840
- },
1841
- "fever_sentence_id": {
1842
- "dtype": "int32",
1843
- "_type": "Value"
1844
- },
1845
- "annotation_id": {
1846
- "dtype": "string",
1847
- "_type": "Value"
1848
- },
1849
- "yes_no_answer": {
1850
- "dtype": "string",
1851
- "_type": "Value"
1852
- },
1853
- "evidence_span": [
1854
- {
1855
- "dtype": "string",
1856
- "_type": "Value"
1857
- }
1858
- ]
1859
- },
1860
- "section": {
1861
- "dtype": "string",
1862
- "_type": "Value"
1863
- },
1864
- "title": {
1865
- "dtype": "string",
1866
- "_type": "Value"
1867
- },
1868
- "wikipedia_id": {
1869
- "dtype": "string",
1870
- "_type": "Value"
1871
- }
1872
- }
1873
- ]
1874
- }
1875
- ]
1876
- },
1877
- "builder_name": "kilt_tasks",
1878
- "dataset_name": "kilt_tasks",
1879
- "config_name": "eli5",
1880
- "version": {
1881
- "version_str": "1.0.0",
1882
- "major": 1,
1883
- "minor": 0,
1884
- "patch": 0
1885
- },
1886
- "splits": {
1887
- "train": {
1888
- "name": "train",
1889
- "num_bytes": 525554458,
1890
- "num_examples": 272634,
1891
- "dataset_name": null
1892
- },
1893
- "validation": {
1894
- "name": "validation",
1895
- "num_bytes": 13860033,
1896
- "num_examples": 1507,
1897
- "dataset_name": null
1898
- },
1899
- "test": {
1900
- "name": "test",
1901
- "num_bytes": 107092,
1902
- "num_examples": 600,
1903
- "dataset_name": null
1904
- }
1905
- },
1906
- "download_size": 329302944,
1907
- "dataset_size": 539521583,
1908
- "size_in_bytes": 868824527
1909
- },
1910
- "wow": {
1911
- "description": "KILT tasks training and evaluation data.\n- [FEVER](https://fever.ai) | Fact Checking | fever\n- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2\n- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n",
1912
- "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan and\n Patrick Lewis and\n Majid Yazdani and\n Nicola De Cao and\n James Thorne and\n Yacine Jernite and\n Vassilis Plachouras and\n Tim Rockt\"aschel and\n Sebastian Riedel},\n title = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},\n journal = {CoRR},\n archivePrefix = {arXiv},\n year = {2020},\n",
1913
- "homepage": "https://github.com/facebookresearch/KILT",
1914
- "license": "",
1915
- "features": {
1916
- "id": {
1917
- "dtype": "string",
1918
- "_type": "Value"
1919
- },
1920
- "input": {
1921
- "dtype": "string",
1922
- "_type": "Value"
1923
- },
1924
- "meta": {
1925
- "left_context": {
1926
- "dtype": "string",
1927
- "_type": "Value"
1928
- },
1929
- "mention": {
1930
- "dtype": "string",
1931
- "_type": "Value"
1932
- },
1933
- "right_context": {
1934
- "dtype": "string",
1935
- "_type": "Value"
1936
- },
1937
- "partial_evidence": [
1938
- {
1939
- "start_paragraph_id": {
1940
- "dtype": "int32",
1941
- "_type": "Value"
1942
- },
1943
- "end_paragraph_id": {
1944
- "dtype": "int32",
1945
- "_type": "Value"
1946
- },
1947
- "title": {
1948
- "dtype": "string",
1949
- "_type": "Value"
1950
- },
1951
- "section": {
1952
- "dtype": "string",
1953
- "_type": "Value"
1954
- },
1955
- "wikipedia_id": {
1956
- "dtype": "string",
1957
- "_type": "Value"
1958
- },
1959
- "meta": {
1960
- "evidence_span": [
1961
- {
1962
- "dtype": "string",
1963
- "_type": "Value"
1964
- }
1965
- ]
1966
- }
1967
- }
1968
- ],
1969
- "obj_surface": [
1970
- {
1971
- "dtype": "string",
1972
- "_type": "Value"
1973
- }
1974
- ],
1975
- "sub_surface": [
1976
- {
1977
- "dtype": "string",
1978
- "_type": "Value"
1979
- }
1980
- ],
1981
- "subj_aliases": [
1982
- {
1983
- "dtype": "string",
1984
- "_type": "Value"
1985
- }
1986
- ],
1987
- "template_questions": [
1988
- {
1989
- "dtype": "string",
1990
- "_type": "Value"
1991
- }
1992
- ]
1993
- },
1994
- "output": [
1995
- {
1996
- "answer": {
1997
- "dtype": "string",
1998
- "_type": "Value"
1999
- },
2000
- "meta": {
2001
- "score": {
2002
- "dtype": "int32",
2003
- "_type": "Value"
2004
- }
2005
- },
2006
- "provenance": [
2007
- {
2008
- "bleu_score": {
2009
- "dtype": "float32",
2010
- "_type": "Value"
2011
- },
2012
- "start_character": {
2013
- "dtype": "int32",
2014
- "_type": "Value"
2015
- },
2016
- "start_paragraph_id": {
2017
- "dtype": "int32",
2018
- "_type": "Value"
2019
- },
2020
- "end_character": {
2021
- "dtype": "int32",
2022
- "_type": "Value"
2023
- },
2024
- "end_paragraph_id": {
2025
- "dtype": "int32",
2026
- "_type": "Value"
2027
- },
2028
- "meta": {
2029
- "fever_page_id": {
2030
- "dtype": "string",
2031
- "_type": "Value"
2032
- },
2033
- "fever_sentence_id": {
2034
- "dtype": "int32",
2035
- "_type": "Value"
2036
- },
2037
- "annotation_id": {
2038
- "dtype": "string",
2039
- "_type": "Value"
2040
- },
2041
- "yes_no_answer": {
2042
- "dtype": "string",
2043
- "_type": "Value"
2044
- },
2045
- "evidence_span": [
2046
- {
2047
- "dtype": "string",
2048
- "_type": "Value"
2049
- }
2050
- ]
2051
- },
2052
- "section": {
2053
- "dtype": "string",
2054
- "_type": "Value"
2055
- },
2056
- "title": {
2057
- "dtype": "string",
2058
- "_type": "Value"
2059
- },
2060
- "wikipedia_id": {
2061
- "dtype": "string",
2062
- "_type": "Value"
2063
- }
2064
- }
2065
- ]
2066
- }
2067
- ]
2068
- },
2069
- "builder_name": "kilt_tasks",
2070
- "dataset_name": "kilt_tasks",
2071
- "config_name": "wow",
2072
- "version": {
2073
- "version_str": "1.0.0",
2074
- "major": 1,
2075
- "minor": 0,
2076
- "patch": 0
2077
- },
2078
- "splits": {
2079
- "train": {
2080
- "name": "train",
2081
- "num_bytes": 41870938,
2082
- "num_examples": 63734,
2083
- "dataset_name": null
2084
- },
2085
- "validation": {
2086
- "name": "validation",
2087
- "num_bytes": 2021752,
2088
- "num_examples": 3054,
2089
- "dataset_name": null
2090
- },
2091
- "test": {
2092
- "name": "test",
2093
- "num_bytes": 1339546,
2094
- "num_examples": 2944,
2095
- "dataset_name": null
2096
- }
2097
- },
2098
- "download_size": 25441975,
2099
- "dataset_size": 45232236,
2100
- "size_in_bytes": 70674211
2101
- }
2102
- }