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Datasets:
facebook
/
babi_qa

Tasks:
Question Answering
Modalities:
Text
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
chained-qa
Libraries:
Datasets
License:
Dataset card Data Studio Files
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Update files from the datasets library (from 1.6.0)

Browse files

Release notes: https://github.com/huggingface/datasets/releases/tag/1.6.0

Files changed (12) hide show
  1. .gitattributes +27 -0
  2. README.md +690 -0
  3. babi_qa.py +946 -0
  4. dataset_infos.json +0 -0
  5. dummy/en-10k-qa1/1.2.0/dummy_data.zip +3 -0
  6. dummy/en-qa1/1.2.0/dummy_data.zip +3 -0
  7. dummy/en-valid-10k-qa1/1.2.0/dummy_data.zip +3 -0
  8. dummy/en-valid-qa1/1.2.0/dummy_data.zip +3 -0
  9. dummy/hn-10k-qa1/1.2.0/dummy_data.zip +3 -0
  10. dummy/hn-qa1/1.2.0/dummy_data.zip +3 -0
  11. dummy/shuffled-10k-qa1/1.2.0/dummy_data.zip +3 -0
  12. dummy/shuffled-qa1/1.2.0/dummy_data.zip +3 -0
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
21
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22
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27
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README.md ADDED
@@ -0,0 +1,690 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - machine-generated
6
+ languages:
7
+ - en
8
+ licenses:
9
+ - cc-by-3-0
10
+ multilinguality:
11
+ - monolingual
12
+ size_categories:
13
+ en-qa1:
14
+ - n<1K
15
+ en-qa2:
16
+ - n<1K
17
+ en-qa3:
18
+ - n<1K
19
+ en-qa4:
20
+ - 1K<n<10K
21
+ en-qa5:
22
+ - n<1K
23
+ en-qa6:
24
+ - n<1K
25
+ en-qa7:
26
+ - n<1K
27
+ en-qa8:
28
+ - n<1K
29
+ en-qa9:
30
+ - n<1K
31
+ en-qa10:
32
+ - n<1K
33
+ en-qa11:
34
+ - n<1K
35
+ en-qa12:
36
+ - n<1K
37
+ en-qa13:
38
+ - n<1K
39
+ en-qa14:
40
+ - n<1K
41
+ en-qa15:
42
+ - n<1K
43
+ en-qa16:
44
+ - 1K<n<10K
45
+ en-qa17:
46
+ - n<1K
47
+ en-qa18:
48
+ - n<1K
49
+ en-qa19:
50
+ - 1K<n<10K
51
+ en-qa20:
52
+ - n<1K
53
+ en-10k-qa1:
54
+ - 1K<n<10K
55
+ en-10k-qa2:
56
+ - 1K<n<10K
57
+ en-10k-qa3:
58
+ - 1K<n<10K
59
+ en-10k-qa4:
60
+ - 10K<n<100K
61
+ en-10k-qa5:
62
+ - 1K<n<10K
63
+ en-10k-qa6:
64
+ - 1K<n<10K
65
+ en-10k-qa7:
66
+ - 1K<n<10K
67
+ en-10k-qa8:
68
+ - 1K<n<10K
69
+ en-10k-qa9:
70
+ - 1K<n<10K
71
+ en-10k-qa10:
72
+ - 1K<n<10K
73
+ en-10k-qa11:
74
+ - 1K<n<10K
75
+ en-10k-qa12:
76
+ - 1K<n<10K
77
+ en-10k-qa13:
78
+ - 1K<n<10K
79
+ en-10k-qa14:
80
+ - 1K<n<10K
81
+ en-10k-qa15:
82
+ - 1K<n<10K
83
+ en-10k-qa16:
84
+ - 10K<n<100K
85
+ en-10k-qa17:
86
+ - 1K<n<10K
87
+ en-10k-qa18:
88
+ - 1K<n<10K
89
+ en-10k-qa19:
90
+ - 10K<n<100K
91
+ en-10k-qa20:
92
+ - 1K<n<10K
93
+ en-valid-qa1:
94
+ - n<1K
95
+ en-valid-qa2:
96
+ - n<1K
97
+ en-valid-qa3:
98
+ - n<1K
99
+ en-valid-qa4:
100
+ - 1K<n<10K
101
+ en-valid-qa5:
102
+ - n<1K
103
+ en-valid-qa6:
104
+ - n<1K
105
+ en-valid-qa7:
106
+ - n<1K
107
+ en-valid-qa8:
108
+ - n<1K
109
+ en-valid-qa9:
110
+ - n<1K
111
+ en-valid-qa10:
112
+ - n<1K
113
+ en-valid-qa11:
114
+ - n<1K
115
+ en-valid-qa12:
116
+ - n<1K
117
+ en-valid-qa13:
118
+ - n<1K
119
+ en-valid-qa14:
120
+ - n<1K
121
+ en-valid-qa15:
122
+ - n<1K
123
+ en-valid-qa16:
124
+ - 1K<n<10K
125
+ en-valid-qa17:
126
+ - n<1K
127
+ en-valid-qa18:
128
+ - n<1K
129
+ en-valid-qa19:
130
+ - 1K<n<10K
131
+ en-valid-qa20:
132
+ - n<1K
133
+ en-valid-10k-qa1:
134
+ - 1K<n<10K
135
+ en-valid-10k-qa2:
136
+ - 1K<n<10K
137
+ en-valid-10k-qa3:
138
+ - 1K<n<10K
139
+ en-valid-10k-qa4:
140
+ - 10K<n<100K
141
+ en-valid-10k-qa5:
142
+ - 1K<n<10K
143
+ en-valid-10k-qa6:
144
+ - 1K<n<10K
145
+ en-valid-10k-qa7:
146
+ - 1K<n<10K
147
+ en-valid-10k-qa8:
148
+ - 1K<n<10K
149
+ en-valid-10k-qa9:
150
+ - 1K<n<10K
151
+ en-valid-10k-qa10:
152
+ - 1K<n<10K
153
+ en-valid-10k-qa11:
154
+ - 1K<n<10K
155
+ en-valid-10k-qa12:
156
+ - 1K<n<10K
157
+ en-valid-10k-qa13:
158
+ - 1K<n<10K
159
+ en-valid-10k-qa14:
160
+ - 1K<n<10K
161
+ en-valid-10k-qa15:
162
+ - 1K<n<10K
163
+ en-valid-10k-qa16:
164
+ - 10K<n<100K
165
+ en-valid-10k-qa17:
166
+ - 1K<n<10K
167
+ en-valid-10k-qa18:
168
+ - 1K<n<10K
169
+ en-valid-10k-qa19:
170
+ - 10K<n<100K
171
+ en-valid-10k-qa20:
172
+ - 1K<n<10K
173
+ hn-qa1:
174
+ - n<1K
175
+ hn-qa2:
176
+ - n<1K
177
+ hn-qa3:
178
+ - n<1K
179
+ hn-qa4:
180
+ - 1K<n<10K
181
+ hn-qa5:
182
+ - n<1K
183
+ hn-qa6:
184
+ - n<1K
185
+ hn-qa7:
186
+ - n<1K
187
+ hn-qa8:
188
+ - n<1K
189
+ hn-qa9:
190
+ - n<1K
191
+ hn-qa10:
192
+ - n<1K
193
+ hn-qa11:
194
+ - n<1K
195
+ hn-qa12:
196
+ - n<1K
197
+ hn-qa13:
198
+ - n<1K
199
+ hn-qa14:
200
+ - n<1K
201
+ hn-qa15:
202
+ - n<1K
203
+ hn-qa16:
204
+ - 1K<n<10K
205
+ hn-qa17:
206
+ - n<1K
207
+ hn-qa18:
208
+ - n<1K
209
+ hn-qa19:
210
+ - 1K<n<10K
211
+ hn-qa20:
212
+ - n<1K
213
+ hn-10k-qa1:
214
+ - 1K<n<10K
215
+ hn-10k-qa2:
216
+ - 1K<n<10K
217
+ hn-10k-qa3:
218
+ - 1K<n<10K
219
+ hn-10k-qa4:
220
+ - 10K<n<100K
221
+ hn-10k-qa5:
222
+ - 1K<n<10K
223
+ hn-10k-qa6:
224
+ - 1K<n<10K
225
+ hn-10k-qa7:
226
+ - 1K<n<10K
227
+ hn-10k-qa8:
228
+ - 1K<n<10K
229
+ hn-10k-qa9:
230
+ - 1K<n<10K
231
+ hn-10k-qa10:
232
+ - 1K<n<10K
233
+ hn-10k-qa11:
234
+ - 1K<n<10K
235
+ hn-10k-qa12:
236
+ - 1K<n<10K
237
+ hn-10k-qa13:
238
+ - 1K<n<10K
239
+ hn-10k-qa14:
240
+ - 1K<n<10K
241
+ hn-10k-qa15:
242
+ - 1K<n<10K
243
+ hn-10k-qa16:
244
+ - 10K<n<100K
245
+ hn-10k-qa17:
246
+ - 1K<n<10K
247
+ hn-10k-qa18:
248
+ - 1K<n<10K
249
+ hn-10k-qa19:
250
+ - 10K<n<100K
251
+ hn-10k-qa20:
252
+ - 1K<n<10K
253
+ shuffled-qa1:
254
+ - n<1K
255
+ shuffled-qa2:
256
+ - n<1K
257
+ shuffled-qa3:
258
+ - n<1K
259
+ shuffled-qa4:
260
+ - 1K<n<10K
261
+ shuffled-qa5:
262
+ - n<1K
263
+ shuffled-qa6:
264
+ - n<1K
265
+ shuffled-qa7:
266
+ - n<1K
267
+ shuffled-qa8:
268
+ - n<1K
269
+ shuffled-qa9:
270
+ - n<1K
271
+ shuffled-qa10:
272
+ - n<1K
273
+ shuffled-qa11:
274
+ - n<1K
275
+ shuffled-qa12:
276
+ - n<1K
277
+ shuffled-qa13:
278
+ - n<1K
279
+ shuffled-qa14:
280
+ - n<1K
281
+ shuffled-qa15:
282
+ - n<1K
283
+ shuffled-qa16:
284
+ - 1K<n<10K
285
+ shuffled-qa17:
286
+ - n<1K
287
+ shuffled-qa18:
288
+ - n<1K
289
+ shuffled-qa19:
290
+ - 1K<n<10K
291
+ shuffled-qa20:
292
+ - n<1K
293
+ shuffled-10k-qa1:
294
+ - 1K<n<10K
295
+ shuffled-10k-qa2:
296
+ - 1K<n<10K
297
+ shuffled-10k-qa3:
298
+ - 1K<n<10K
299
+ shuffled-10k-qa4:
300
+ - 10K<n<100K
301
+ shuffled-10k-qa5:
302
+ - 1K<n<10K
303
+ shuffled-10k-qa6:
304
+ - 1K<n<10K
305
+ shuffled-10k-qa7:
306
+ - 1K<n<10K
307
+ shuffled-10k-qa8:
308
+ - 1K<n<10K
309
+ shuffled-10k-qa9:
310
+ - 1K<n<10K
311
+ shuffled-10k-qa10:
312
+ - 1K<n<10K
313
+ shuffled-10k-qa11:
314
+ - 1K<n<10K
315
+ shuffled-10k-qa12:
316
+ - 1K<n<10K
317
+ shuffled-10k-qa13:
318
+ - 1K<n<10K
319
+ shuffled-10k-qa14:
320
+ - 1K<n<10K
321
+ shuffled-10k-qa15:
322
+ - 1K<n<10K
323
+ shuffled-10k-qa16:
324
+ - 10K<n<100K
325
+ shuffled-10k-qa17:
326
+ - 1K<n<10K
327
+ shuffled-10k-qa18:
328
+ - 1K<n<10K
329
+ shuffled-10k-qa19:
330
+ - 10K<n<100K
331
+ shuffled-10k-qa20:
332
+ - 1K<n<10K
333
+ source_datasets:
334
+ - original
335
+ task_categories:
336
+ - question-answering
337
+ task_ids:
338
+ - question-answering-other-chained-qa
339
+ ---
340
+
341
+
342
+ # Dataset Card for bAbi QA
343
+
344
+ ## Table of Contents
345
+ - [Dataset Card for bAbi QA](#dataset-card-for-dataset-name)
346
+ - [Table of Contents](#table-of-contents)
347
+ - [Dataset Description](#dataset-description)
348
+ - [Dataset Summary](#dataset-summary)
349
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
350
+ - [Languages](#languages)
351
+ - [Dataset Structure](#dataset-structure)
352
+ - [Data Instances](#data-instances)
353
+ - [Data Fields](#data-fields)
354
+ - [Data Splits](#data-splits)
355
+ - [Dataset Creation](#dataset-creation)
356
+ - [Curation Rationale](#curation-rationale)
357
+ - [Source Data](#source-data)
358
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
359
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
360
+ - [Annotations](#annotations)
361
+ - [Annotation process](#annotation-process)
362
+ - [Who are the annotators?](#who-are-the-annotators)
363
+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
364
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
365
+ - [Social Impact of Dataset](#social-impact-of-dataset)
366
+ - [Discussion of Biases](#discussion-of-biases)
367
+ - [Other Known Limitations](#other-known-limitations)
368
+ - [Additional Information](#additional-information)
369
+ - [Dataset Curators](#dataset-curators)
370
+ - [Licensing Information](#licensing-information)
371
+ - [Citation Information](#citation-information)
372
+ - [Contributions](#contributions)
373
+
374
+ ## Dataset Description
375
+
376
+ - **Homepage:**[The bAbI project](https://research.fb.com/downloads/babi/)
377
+ - **Repository:**
378
+ - **Paper:** [arXiv Paper](https://arxiv.org/pdf/1502.05698.pdf)
379
+ - **Leaderboard:**
380
+ - **Point of Contact:**
381
+ ### Dataset Summary
382
+
383
+ The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading comprehension via question answering. Our tasks measure understanding in several ways: whether a system is able to answer questions via chaining facts, simple induction, deduction and many more. The tasks are designed to be prerequisites for any system that aims to be capable of conversing with a human. The aim is to classify these tasks into skill sets,so that researchers can identify (and then rectify) the failings of their systems.
384
+
385
+ ### Supported Tasks and Leaderboards
386
+
387
+ The dataset supports a set of 20 proxy story-based question answering tasks for various "types" in English and Hindi. The tasks are:
388
+
389
+ |task_no|task_name|
390
+ |----|------------|
391
+ |qa1 |single-supporting-fact|
392
+ |qa2 |two-supporting-facts|
393
+ |qa3 |three-supporting-facts|
394
+ |qa4 |two-arg-relations|
395
+ |qa5 |three-arg-relations|
396
+ |qa6 |yes-no-questions|
397
+ |qa7 |counting|
398
+ |qa8 |lists-sets|
399
+ |qa9 |simple-negation|
400
+ |qa10| indefinite-knowledge|
401
+ |qa11| basic-coreference|
402
+ |qa12| conjunction|
403
+ |qa13| compound-coreference|
404
+ |qa14| time-reasoning|
405
+ |qa15| basic-deduction|
406
+ |qa16| basic-induction|
407
+ |qa17| positional-reasoning|
408
+ |qa18| size-reasoning|
409
+ |qa19| path-finding|
410
+ |qa20| agents-motivations|
411
+
412
+
413
+ The "types" are are:
414
+
415
+ - `en`
416
+ - the tasks in English, readable by humans.
417
+
418
+ - `hn`
419
+ - the tasks in Hindi, readable by humans.
420
+ - `shuffled`
421
+ - the same tasks with shuffled letters so they are not readable by humans, and for existing parsers and taggers cannot be used in a straight-forward fashion to leverage extra resources-- in this case the learner is more forced to rely on the given training data. This mimics a learner being first presented a language and having to learn from scratch.
422
+ - `en-10k`, `shuffled-10k` and `hn-10k`
423
+ - the same tasks in the three formats, but with 10,000 training examples, rather than 1000 training examples.
424
+ - `en-valid` and `en-valid-10k`
425
+ - are the same as `en` and `en10k` except the train sets have been conveniently split into train and valid portions (90% and 10% split).
426
+
427
+ To get a particular dataset, use `load_datasets('babi_qa',type=f'{type}',task_no=f'{task_no}')` where `type` is one of the types, and `task_no` is one of the task numbers. For example, `load_dataset('babi_qa', type='en', task_no='qa1')`.
428
+ ### Languages
429
+
430
+
431
+
432
+ ## Dataset Structure
433
+
434
+ ### Data Instances
435
+ An instance from the `en-qa1` config's `train` split:
436
+
437
+ ```
438
+ {'story': {'answer': ['', '', 'bathroom', '', '', 'hallway', '', '', 'hallway', '', '', 'office', '', '', 'bathroom'], 'id': ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15'], 'supporting_ids': [[], [], ['1'], [], [], ['4'], [], [], ['4'], [], [], ['11'], [], [], ['8']], 'text': ['Mary moved to the bathroom.', 'John went to the hallway.', 'Where is Mary?', 'Daniel went back to the hallway.', 'Sandra moved to the garden.', 'Where is Daniel?', 'John moved to the office.', 'Sandra journeyed to the bathroom.', 'Where is Daniel?', 'Mary moved to the hallway.', 'Daniel travelled to the office.', 'Where is Daniel?', 'John went back to the garden.', 'John moved to the bedroom.', 'Where is Sandra?'], 'type': [0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1]}}
439
+ ```
440
+
441
+ ### Data Fields
442
+
443
+ - `story`: a dictionary feature containing:
444
+ - `id`: a `string` feature, which denotes the line number in the example.
445
+ - `type`: a classification label, with possible values including `context`, `question`, denoting whether the text is context or a question.
446
+ - `text`: a `string` feature the text present, whether it is a question or context.
447
+ - `supporting_ids`: a `list` of `string` features containing the line numbers of the lines in the example which support the answer.
448
+ - `answer`: a `string` feature containing the answer to the question, or an empty string if the `type`s is not `question`.
449
+
450
+ ### Data Splits
451
+
452
+ The splits and corresponding sizes are:
453
+
454
+ | | train | test | validation |
455
+ |-------------------|---------|--------|--------------|
456
+ | en-qa1 | 200 | 200 | - |
457
+ | en-qa2 | 200 | 200 | - |
458
+ | en-qa3 | 200 | 200 | - |
459
+ | en-qa4 | 1000 | 1000 | - |
460
+ | en-qa5 | 200 | 200 | - |
461
+ | en-qa6 | 200 | 200 | - |
462
+ | en-qa7 | 200 | 200 | - |
463
+ | en-qa8 | 200 | 200 | - |
464
+ | en-qa9 | 200 | 200 | - |
465
+ | en-qa10 | 200 | 200 | - |
466
+ | en-qa11 | 200 | 200 | - |
467
+ | en-qa12 | 200 | 200 | - |
468
+ | en-qa13 | 200 | 200 | - |
469
+ | en-qa14 | 200 | 200 | - |
470
+ | en-qa15 | 250 | 250 | - |
471
+ | en-qa16 | 1000 | 1000 | - |
472
+ | en-qa17 | 125 | 125 | - |
473
+ | en-qa18 | 198 | 199 | - |
474
+ | en-qa19 | 1000 | 1000 | - |
475
+ | en-qa20 | 94 | 93 | - |
476
+ | en-10k-qa1 | 2000 | 200 | - |
477
+ | en-10k-qa2 | 2000 | 200 | - |
478
+ | en-10k-qa3 | 2000 | 200 | - |
479
+ | en-10k-qa4 | 10000 | 1000 | - |
480
+ | en-10k-qa5 | 2000 | 200 | - |
481
+ | en-10k-qa6 | 2000 | 200 | - |
482
+ | en-10k-qa7 | 2000 | 200 | - |
483
+ | en-10k-qa8 | 2000 | 200 | - |
484
+ | en-10k-qa9 | 2000 | 200 | - |
485
+ | en-10k-qa10 | 2000 | 200 | - |
486
+ | en-10k-qa11 | 2000 | 200 | - |
487
+ | en-10k-qa12 | 2000 | 200 | - |
488
+ | en-10k-qa13 | 2000 | 200 | - |
489
+ | en-10k-qa14 | 2000 | 200 | - |
490
+ | en-10k-qa15 | 2500 | 250 | - |
491
+ | en-10k-qa16 | 10000 | 1000 | - |
492
+ | en-10k-qa17 | 1250 | 125 | - |
493
+ | en-10k-qa18 | 1978 | 199 | - |
494
+ | en-10k-qa19 | 10000 | 1000 | - |
495
+ | en-10k-qa20 | 933 | 93 | - |
496
+ | en-valid-qa1 | 180 | 200 | 20 |
497
+ | en-valid-qa2 | 180 | 200 | 20 |
498
+ | en-valid-qa3 | 180 | 200 | 20 |
499
+ | en-valid-qa4 | 900 | 1000 | 100 |
500
+ | en-valid-qa5 | 180 | 200 | 20 |
501
+ | en-valid-qa6 | 180 | 200 | 20 |
502
+ | en-valid-qa7 | 180 | 200 | 20 |
503
+ | en-valid-qa8 | 180 | 200 | 20 |
504
+ | en-valid-qa9 | 180 | 200 | 20 |
505
+ | en-valid-qa10 | 180 | 200 | 20 |
506
+ | en-valid-qa11 | 180 | 200 | 20 |
507
+ | en-valid-qa12 | 180 | 200 | 20 |
508
+ | en-valid-qa13 | 180 | 200 | 20 |
509
+ | en-valid-qa14 | 180 | 200 | 20 |
510
+ | en-valid-qa15 | 225 | 250 | 25 |
511
+ | en-valid-qa16 | 900 | 1000 | 100 |
512
+ | en-valid-qa17 | 113 | 125 | 12 |
513
+ | en-valid-qa18 | 179 | 199 | 19 |
514
+ | en-valid-qa19 | 900 | 1000 | 100 |
515
+ | en-valid-qa20 | 85 | 93 | 9 |
516
+ | en-valid-10k-qa1 | 1800 | 200 | 200 |
517
+ | en-valid-10k-qa2 | 1800 | 200 | 200 |
518
+ | en-valid-10k-qa3 | 1800 | 200 | 200 |
519
+ | en-valid-10k-qa4 | 9000 | 1000 | 1000 |
520
+ | en-valid-10k-qa5 | 1800 | 200 | 200 |
521
+ | en-valid-10k-qa6 | 1800 | 200 | 200 |
522
+ | en-valid-10k-qa7 | 1800 | 200 | 200 |
523
+ | en-valid-10k-qa8 | 1800 | 200 | 200 |
524
+ | en-valid-10k-qa9 | 1800 | 200 | 200 |
525
+ | en-valid-10k-qa10 | 1800 | 200 | 200 |
526
+ | en-valid-10k-qa11 | 1800 | 200 | 200 |
527
+ | en-valid-10k-qa12 | 1800 | 200 | 200 |
528
+ | en-valid-10k-qa13 | 1800 | 200 | 200 |
529
+ | en-valid-10k-qa14 | 1800 | 200 | 200 |
530
+ | en-valid-10k-qa15 | 2250 | 250 | 250 |
531
+ | en-valid-10k-qa16 | 9000 | 1000 | 1000 |
532
+ | en-valid-10k-qa17 | 1125 | 125 | 125 |
533
+ | en-valid-10k-qa18 | 1781 | 199 | 197 |
534
+ | en-valid-10k-qa19 | 9000 | 1000 | 1000 |
535
+ | en-valid-10k-qa20 | 840 | 93 | 93 |
536
+ | hn-qa1 | 200 | 200 | - |
537
+ | hn-qa2 | 200 | 200 | - |
538
+ | hn-qa3 | 167 | 167 | - |
539
+ | hn-qa4 | 1000 | 1000 | - |
540
+ | hn-qa5 | 200 | 200 | - |
541
+ | hn-qa6 | 200 | 200 | - |
542
+ | hn-qa7 | 200 | 200 | - |
543
+ | hn-qa8 | 200 | 200 | - |
544
+ | hn-qa9 | 200 | 200 | - |
545
+ | hn-qa10 | 200 | 200 | - |
546
+ | hn-qa11 | 200 | 200 | - |
547
+ | hn-qa12 | 200 | 200 | - |
548
+ | hn-qa13 | 125 | 125 | - |
549
+ | hn-qa14 | 200 | 200 | - |
550
+ | hn-qa15 | 250 | 250 | - |
551
+ | hn-qa16 | 1000 | 1000 | - |
552
+ | hn-qa17 | 125 | 125 | - |
553
+ | hn-qa18 | 198 | 198 | - |
554
+ | hn-qa19 | 1000 | 1000 | - |
555
+ | hn-qa20 | 93 | 94 | - |
556
+ | hn-10k-qa1 | 2000 | 200 | - |
557
+ | hn-10k-qa2 | 2000 | 200 | - |
558
+ | hn-10k-qa3 | 1667 | 167 | - |
559
+ | hn-10k-qa4 | 10000 | 1000 | - |
560
+ | hn-10k-qa5 | 2000 | 200 | - |
561
+ | hn-10k-qa6 | 2000 | 200 | - |
562
+ | hn-10k-qa7 | 2000 | 200 | - |
563
+ | hn-10k-qa8 | 2000 | 200 | - |
564
+ | hn-10k-qa9 | 2000 | 200 | - |
565
+ | hn-10k-qa10 | 2000 | 200 | - |
566
+ | hn-10k-qa11 | 2000 | 200 | - |
567
+ | hn-10k-qa12 | 2000 | 200 | - |
568
+ | hn-10k-qa13 | 1250 | 125 | - |
569
+ | hn-10k-qa14 | 2000 | 200 | - |
570
+ | hn-10k-qa15 | 2500 | 250 | - |
571
+ | hn-10k-qa16 | 10000 | 1000 | - |
572
+ | hn-10k-qa17 | 1250 | 125 | - |
573
+ | hn-10k-qa18 | 1977 | 198 | - |
574
+ | hn-10k-qa19 | 10000 | 1000 | - |
575
+ | hn-10k-qa20 | 934 | 94 | - |
576
+ | shuffled-qa1 | 200 | 200 | - |
577
+ | shuffled-qa2 | 200 | 200 | - |
578
+ | shuffled-qa3 | 200 | 200 | - |
579
+ | shuffled-qa4 | 1000 | 1000 | - |
580
+ | shuffled-qa5 | 200 | 200 | - |
581
+ | shuffled-qa6 | 200 | 200 | - |
582
+ | shuffled-qa7 | 200 | 200 | - |
583
+ | shuffled-qa8 | 200 | 200 | - |
584
+ | shuffled-qa9 | 200 | 200 | - |
585
+ | shuffled-qa10 | 200 | 200 | - |
586
+ | shuffled-qa11 | 200 | 200 | - |
587
+ | shuffled-qa12 | 200 | 200 | - |
588
+ | shuffled-qa13 | 200 | 200 | - |
589
+ | shuffled-qa14 | 200 | 200 | - |
590
+ | shuffled-qa15 | 250 | 250 | - |
591
+ | shuffled-qa16 | 1000 | 1000 | - |
592
+ | shuffled-qa17 | 125 | 125 | - |
593
+ | shuffled-qa18 | 198 | 199 | - |
594
+ | shuffled-qa19 | 1000 | 1000 | - |
595
+ | shuffled-qa20 | 94 | 93 | - |
596
+ | shuffled-10k-qa1 | 2000 | 200 | - |
597
+ | shuffled-10k-qa2 | 2000 | 200 | - |
598
+ | shuffled-10k-qa3 | 2000 | 200 | - |
599
+ | shuffled-10k-qa4 | 10000 | 1000 | - |
600
+ | shuffled-10k-qa5 | 2000 | 200 | - |
601
+ | shuffled-10k-qa6 | 2000 | 200 | - |
602
+ | shuffled-10k-qa7 | 2000 | 200 | - |
603
+ | shuffled-10k-qa8 | 2000 | 200 | - |
604
+ | shuffled-10k-qa9 | 2000 | 200 | - |
605
+ | shuffled-10k-qa10 | 2000 | 200 | - |
606
+ | shuffled-10k-qa11 | 2000 | 200 | - |
607
+ | shuffled-10k-qa12 | 2000 | 200 | - |
608
+ | shuffled-10k-qa13 | 2000 | 200 | - |
609
+ | shuffled-10k-qa14 | 2000 | 200 | - |
610
+ | shuffled-10k-qa15 | 2500 | 250 | - |
611
+ | shuffled-10k-qa16 | 10000 | 1000 | - |
612
+ | shuffled-10k-qa17 | 1250 | 125 | - |
613
+ | shuffled-10k-qa18 | 1978 | 199 | - |
614
+ | shuffled-10k-qa19 | 10000 | 1000 | - |
615
+ | shuffled-10k-qa20 | 933 | 93 | - |
616
+
617
+
618
+ ## Dataset Creation
619
+
620
+ ### Curation Rationale
621
+
622
+ [More Information Needed]
623
+
624
+ ### Source Data
625
+
626
+ #### Initial Data Collection and Normalization
627
+
628
+ Code to generate tasks is available on [github](https://github.com/facebook/bAbI-tasks)
629
+
630
+ #### Who are the source language producers?
631
+
632
+ [More Information Needed]
633
+
634
+ ### Annotations
635
+
636
+ #### Annotation process
637
+
638
+ [More Information Needed]
639
+
640
+ #### Who are the annotators?
641
+
642
+ [More Information Needed]
643
+
644
+ ### Personal and Sensitive Information
645
+
646
+ [More Information Needed]
647
+
648
+ ## Considerations for Using the Data
649
+
650
+ ### Social Impact of Dataset
651
+
652
+ [More Information Needed]
653
+
654
+ ### Discussion of Biases
655
+
656
+ [More Information Needed]
657
+
658
+ ### Other Known Limitations
659
+
660
+ [More Information Needed]
661
+
662
+ ## Additional Information
663
+
664
+ ### Dataset Curators
665
+
666
+ Jesse Dodge and Andreea Gane and Xiang Zhang and Antoine Bordes and Sumit Chopra and Alexander Miller and Arthur Szlam and Jason Weston, at Facebook Research.
667
+
668
+ ### Licensing Information
669
+
670
+ ```
671
+ Creative Commons Attribution 3.0 License
672
+ ```
673
+
674
+ ### Citation Information
675
+
676
+ ```
677
+ @misc{dodge2016evaluating,
678
+ title={Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems},
679
+ author={Jesse Dodge and Andreea Gane and Xiang Zhang and Antoine Bordes and Sumit Chopra and Alexander Miller and Arthur Szlam and Jason Weston},
680
+ year={2016},
681
+ eprint={1511.06931},
682
+ archivePrefix={arXiv},
683
+ primaryClass={cs.CL}
684
+ }
685
+ ```
686
+
687
+
688
+ ### Contributions
689
+
690
+ Thanks to [@gchhablani](https://github.com/gchhablani) for adding this dataset.
babi_qa.py ADDED
@@ -0,0 +1,946 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # coding=utf-8
2
+ # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
3
+ #
4
+ # Licensed under the Apache License, Version 2.0 (the "License");
5
+ # you may not use this file except in compliance with the License.
6
+ # You may obtain a copy of the License at
7
+ #
8
+ # http://www.apache.org/licenses/LICENSE-2.0
9
+ #
10
+ # Unless required by applicable law or agreed to in writing, software
11
+ # distributed under the License is distributed on an "AS IS" BASIS,
12
+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
+ # See the License for the specific language governing permissions and
14
+ # limitations under the License.
15
+ """The bAbI tasks dataset."""
16
+
17
+
18
+ import os
19
+
20
+ import datasets
21
+
22
+
23
+ _CITATION = """\
24
+ @misc{weston2015aicomplete,
25
+ title={Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks},
26
+ author={Jason Weston and Antoine Bordes and Sumit Chopra and Alexander M. Rush and Bart van Merriënboer and Armand Joulin and Tomas Mikolov},
27
+ year={2015},
28
+ eprint={1502.05698},
29
+ archivePrefix={arXiv},
30
+ primaryClass={cs.AI}
31
+ }
32
+ """
33
+
34
+
35
+ _DESCRIPTION = """\
36
+ The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading
37
+ comprehension via question answering. Our tasks measure understanding
38
+ in several ways: whether a system is able to answer questions via chaining facts,
39
+ simple induction, deduction and many more. The tasks are designed to be prerequisites
40
+ for any system that aims to be capable of conversing with a human.
41
+ The aim is to classify these tasks into skill sets,so that researchers
42
+ can identify (and then rectify)the failings of their systems.
43
+ """
44
+
45
+ _HOMEPAGE = "https://research.fb.com/downloads/babi/"
46
+
47
+ _LICENSE = """Creative Commons Attribution 3.0 License"""
48
+
49
+ ZIP_URL = "http://www.thespermwhale.com/jaseweston/babi/tasks_1-20_v1-2.tar.gz"
50
+ paths = {
51
+ "en": {
52
+ "qa9": {
53
+ "test": "tasks_1-20_v1-2/en/qa9_simple-negation_test.txt",
54
+ "train": "tasks_1-20_v1-2/en/qa9_simple-negation_train.txt",
55
+ },
56
+ "qa4": {
57
+ "train": "tasks_1-20_v1-2/en/qa4_two-arg-relations_train.txt",
58
+ "test": "tasks_1-20_v1-2/en/qa4_two-arg-relations_test.txt",
59
+ },
60
+ "qa6": {
61
+ "train": "tasks_1-20_v1-2/en/qa6_yes-no-questions_train.txt",
62
+ "test": "tasks_1-20_v1-2/en/qa6_yes-no-questions_test.txt",
63
+ },
64
+ "qa11": {
65
+ "test": "tasks_1-20_v1-2/en/qa11_basic-coreference_test.txt",
66
+ "train": "tasks_1-20_v1-2/en/qa11_basic-coreference_train.txt",
67
+ },
68
+ "qa3": {
69
+ "test": "tasks_1-20_v1-2/en/qa3_three-supporting-facts_test.txt",
70
+ "train": "tasks_1-20_v1-2/en/qa3_three-supporting-facts_train.txt",
71
+ },
72
+ "qa15": {
73
+ "test": "tasks_1-20_v1-2/en/qa15_basic-deduction_test.txt",
74
+ "train": "tasks_1-20_v1-2/en/qa15_basic-deduction_train.txt",
75
+ },
76
+ "out.txt": {"out": "tasks_1-20_v1-2/en/out.txt"},
77
+ "qa17": {
78
+ "test": "tasks_1-20_v1-2/en/qa17_positional-reasoning_test.txt",
79
+ "train": "tasks_1-20_v1-2/en/qa17_positional-reasoning_train.txt",
80
+ },
81
+ "qa13": {
82
+ "test": "tasks_1-20_v1-2/en/qa13_compound-coreference_test.txt",
83
+ "train": "tasks_1-20_v1-2/en/qa13_compound-coreference_train.txt",
84
+ },
85
+ "qa1": {
86
+ "train": "tasks_1-20_v1-2/en/qa1_single-supporting-fact_train.txt",
87
+ "test": "tasks_1-20_v1-2/en/qa1_single-supporting-fact_test.txt",
88
+ },
89
+ "qa14": {
90
+ "train": "tasks_1-20_v1-2/en/qa14_time-reasoning_train.txt",
91
+ "test": "tasks_1-20_v1-2/en/qa14_time-reasoning_test.txt",
92
+ },
93
+ "qa16": {
94
+ "test": "tasks_1-20_v1-2/en/qa16_basic-induction_test.txt",
95
+ "train": "tasks_1-20_v1-2/en/qa16_basic-induction_train.txt",
96
+ },
97
+ "qa19": {
98
+ "test": "tasks_1-20_v1-2/en/qa19_path-finding_test.txt",
99
+ "train": "tasks_1-20_v1-2/en/qa19_path-finding_train.txt",
100
+ },
101
+ "qa18": {
102
+ "test": "tasks_1-20_v1-2/en/qa18_size-reasoning_test.txt",
103
+ "train": "tasks_1-20_v1-2/en/qa18_size-reasoning_train.txt",
104
+ },
105
+ "qa10": {
106
+ "train": "tasks_1-20_v1-2/en/qa10_indefinite-knowledge_train.txt",
107
+ "test": "tasks_1-20_v1-2/en/qa10_indefinite-knowledge_test.txt",
108
+ },
109
+ "qa7": {
110
+ "train": "tasks_1-20_v1-2/en/qa7_counting_train.txt",
111
+ "test": "tasks_1-20_v1-2/en/qa7_counting_test.txt",
112
+ },
113
+ "qa5": {
114
+ "test": "tasks_1-20_v1-2/en/qa5_three-arg-relations_test.txt",
115
+ "train": "tasks_1-20_v1-2/en/qa5_three-arg-relations_train.txt",
116
+ },
117
+ "qa12": {
118
+ "test": "tasks_1-20_v1-2/en/qa12_conjunction_test.txt",
119
+ "train": "tasks_1-20_v1-2/en/qa12_conjunction_train.txt",
120
+ },
121
+ "qa2": {
122
+ "train": "tasks_1-20_v1-2/en/qa2_two-supporting-facts_train.txt",
123
+ "test": "tasks_1-20_v1-2/en/qa2_two-supporting-facts_test.txt",
124
+ },
125
+ "qa20": {
126
+ "train": "tasks_1-20_v1-2/en/qa20_agents-motivations_train.txt",
127
+ "test": "tasks_1-20_v1-2/en/qa20_agents-motivations_test.txt",
128
+ },
129
+ "qa8": {
130
+ "train": "tasks_1-20_v1-2/en/qa8_lists-sets_train.txt",
131
+ "test": "tasks_1-20_v1-2/en/qa8_lists-sets_test.txt",
132
+ },
133
+ },
134
+ "en-10k": {
135
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136
+ "test": "tasks_1-20_v1-2/en-10k/qa9_simple-negation_test.txt",
137
+ "train": "tasks_1-20_v1-2/en-10k/qa9_simple-negation_train.txt",
138
+ },
139
+ "qa4": {
140
+ "train": "tasks_1-20_v1-2/en-10k/qa4_two-arg-relations_train.txt",
141
+ "test": "tasks_1-20_v1-2/en-10k/qa4_two-arg-relations_test.txt",
142
+ },
143
+ "qa6": {
144
+ "train": "tasks_1-20_v1-2/en-10k/qa6_yes-no-questions_train.txt",
145
+ "test": "tasks_1-20_v1-2/en-10k/qa6_yes-no-questions_test.txt",
146
+ },
147
+ "qa11": {
148
+ "test": "tasks_1-20_v1-2/en-10k/qa11_basic-coreference_test.txt",
149
+ "train": "tasks_1-20_v1-2/en-10k/qa11_basic-coreference_train.txt",
150
+ },
151
+ "qa3": {
152
+ "test": "tasks_1-20_v1-2/en-10k/qa3_three-supporting-facts_test.txt",
153
+ "train": "tasks_1-20_v1-2/en-10k/qa3_three-supporting-facts_train.txt",
154
+ },
155
+ "qa15": {
156
+ "test": "tasks_1-20_v1-2/en-10k/qa15_basic-deduction_test.txt",
157
+ "train": "tasks_1-20_v1-2/en-10k/qa15_basic-deduction_train.txt",
158
+ },
159
+ "qa17": {
160
+ "test": "tasks_1-20_v1-2/en-10k/qa17_positional-reasoning_test.txt",
161
+ "train": "tasks_1-20_v1-2/en-10k/qa17_positional-reasoning_train.txt",
162
+ },
163
+ "qa13": {
164
+ "test": "tasks_1-20_v1-2/en-10k/qa13_compound-coreference_test.txt",
165
+ "train": "tasks_1-20_v1-2/en-10k/qa13_compound-coreference_train.txt",
166
+ },
167
+ "qa1": {
168
+ "train": "tasks_1-20_v1-2/en-10k/qa1_single-supporting-fact_train.txt",
169
+ "test": "tasks_1-20_v1-2/en-10k/qa1_single-supporting-fact_test.txt",
170
+ },
171
+ "qa14": {
172
+ "train": "tasks_1-20_v1-2/en-10k/qa14_time-reasoning_train.txt",
173
+ "test": "tasks_1-20_v1-2/en-10k/qa14_time-reasoning_test.txt",
174
+ },
175
+ "qa16": {
176
+ "test": "tasks_1-20_v1-2/en-10k/qa16_basic-induction_test.txt",
177
+ "train": "tasks_1-20_v1-2/en-10k/qa16_basic-induction_train.txt",
178
+ },
179
+ "qa19": {
180
+ "test": "tasks_1-20_v1-2/en-10k/qa19_path-finding_test.txt",
181
+ "train": "tasks_1-20_v1-2/en-10k/qa19_path-finding_train.txt",
182
+ },
183
+ "qa18": {
184
+ "test": "tasks_1-20_v1-2/en-10k/qa18_size-reasoning_test.txt",
185
+ "train": "tasks_1-20_v1-2/en-10k/qa18_size-reasoning_train.txt",
186
+ },
187
+ "qa10": {
188
+ "train": "tasks_1-20_v1-2/en-10k/qa10_indefinite-knowledge_train.txt",
189
+ "test": "tasks_1-20_v1-2/en-10k/qa10_indefinite-knowledge_test.txt",
190
+ },
191
+ "qa7": {
192
+ "train": "tasks_1-20_v1-2/en-10k/qa7_counting_train.txt",
193
+ "test": "tasks_1-20_v1-2/en-10k/qa7_counting_test.txt",
194
+ },
195
+ "qa5": {
196
+ "test": "tasks_1-20_v1-2/en-10k/qa5_three-arg-relations_test.txt",
197
+ "train": "tasks_1-20_v1-2/en-10k/qa5_three-arg-relations_train.txt",
198
+ },
199
+ "qa12": {
200
+ "test": "tasks_1-20_v1-2/en-10k/qa12_conjunction_test.txt",
201
+ "train": "tasks_1-20_v1-2/en-10k/qa12_conjunction_train.txt",
202
+ },
203
+ "qa2": {
204
+ "train": "tasks_1-20_v1-2/en-10k/qa2_two-supporting-facts_train.txt",
205
+ "test": "tasks_1-20_v1-2/en-10k/qa2_two-supporting-facts_test.txt",
206
+ },
207
+ "qa20": {
208
+ "train": "tasks_1-20_v1-2/en-10k/qa20_agents-motivations_train.txt",
209
+ "test": "tasks_1-20_v1-2/en-10k/qa20_agents-motivations_test.txt",
210
+ },
211
+ "qa8": {
212
+ "train": "tasks_1-20_v1-2/en-10k/qa8_lists-sets_train.txt",
213
+ "test": "tasks_1-20_v1-2/en-10k/qa8_lists-sets_test.txt",
214
+ },
215
+ },
216
+ "en-valid": {
217
+ "qa5": {
218
+ "train": "tasks_1-20_v1-2/en-valid/qa5_train.txt",
219
+ "test": "tasks_1-20_v1-2/en-valid/qa5_test.txt",
220
+ "valid": "tasks_1-20_v1-2/en-valid/qa5_valid.txt",
221
+ },
222
+ "qa16": {
223
+ "valid": "tasks_1-20_v1-2/en-valid/qa16_valid.txt",
224
+ "test": "tasks_1-20_v1-2/en-valid/qa16_test.txt",
225
+ "train": "tasks_1-20_v1-2/en-valid/qa16_train.txt",
226
+ },
227
+ "qa2": {
228
+ "valid": "tasks_1-20_v1-2/en-valid/qa2_valid.txt",
229
+ "test": "tasks_1-20_v1-2/en-valid/qa2_test.txt",
230
+ "train": "tasks_1-20_v1-2/en-valid/qa2_train.txt",
231
+ },
232
+ "qa15": {
233
+ "train": "tasks_1-20_v1-2/en-valid/qa15_train.txt",
234
+ "test": "tasks_1-20_v1-2/en-valid/qa15_test.txt",
235
+ "valid": "tasks_1-20_v1-2/en-valid/qa15_valid.txt",
236
+ },
237
+ "qa9": {
238
+ "test": "tasks_1-20_v1-2/en-valid/qa9_test.txt",
239
+ "train": "tasks_1-20_v1-2/en-valid/qa9_train.txt",
240
+ "valid": "tasks_1-20_v1-2/en-valid/qa9_valid.txt",
241
+ },
242
+ "qa1": {
243
+ "valid": "tasks_1-20_v1-2/en-valid/qa1_valid.txt",
244
+ "test": "tasks_1-20_v1-2/en-valid/qa1_test.txt",
245
+ "train": "tasks_1-20_v1-2/en-valid/qa1_train.txt",
246
+ },
247
+ "qa4": {
248
+ "test": "tasks_1-20_v1-2/en-valid/qa4_test.txt",
249
+ "train": "tasks_1-20_v1-2/en-valid/qa4_train.txt",
250
+ "valid": "tasks_1-20_v1-2/en-valid/qa4_valid.txt",
251
+ },
252
+ "qa14": {
253
+ "valid": "tasks_1-20_v1-2/en-valid/qa14_valid.txt",
254
+ "train": "tasks_1-20_v1-2/en-valid/qa14_train.txt",
255
+ "test": "tasks_1-20_v1-2/en-valid/qa14_test.txt",
256
+ },
257
+ "qa3": {
258
+ "test": "tasks_1-20_v1-2/en-valid/qa3_test.txt",
259
+ "train": "tasks_1-20_v1-2/en-valid/qa3_train.txt",
260
+ "valid": "tasks_1-20_v1-2/en-valid/qa3_valid.txt",
261
+ },
262
+ "qa6": {
263
+ "valid": "tasks_1-20_v1-2/en-valid/qa6_valid.txt",
264
+ "test": "tasks_1-20_v1-2/en-valid/qa6_test.txt",
265
+ "train": "tasks_1-20_v1-2/en-valid/qa6_train.txt",
266
+ },
267
+ "qa8": {
268
+ "test": "tasks_1-20_v1-2/en-valid/qa8_test.txt",
269
+ "valid": "tasks_1-20_v1-2/en-valid/qa8_valid.txt",
270
+ "train": "tasks_1-20_v1-2/en-valid/qa8_train.txt",
271
+ },
272
+ "qa20": {
273
+ "train": "tasks_1-20_v1-2/en-valid/qa20_train.txt",
274
+ "valid": "tasks_1-20_v1-2/en-valid/qa20_valid.txt",
275
+ "test": "tasks_1-20_v1-2/en-valid/qa20_test.txt",
276
+ },
277
+ "qa11": {
278
+ "test": "tasks_1-20_v1-2/en-valid/qa11_test.txt",
279
+ "train": "tasks_1-20_v1-2/en-valid/qa11_train.txt",
280
+ "valid": "tasks_1-20_v1-2/en-valid/qa11_valid.txt",
281
+ },
282
+ "qa12": {
283
+ "test": "tasks_1-20_v1-2/en-valid/qa12_test.txt",
284
+ "valid": "tasks_1-20_v1-2/en-valid/qa12_valid.txt",
285
+ "train": "tasks_1-20_v1-2/en-valid/qa12_train.txt",
286
+ },
287
+ "qa13": {
288
+ "test": "tasks_1-20_v1-2/en-valid/qa13_test.txt",
289
+ "valid": "tasks_1-20_v1-2/en-valid/qa13_valid.txt",
290
+ "train": "tasks_1-20_v1-2/en-valid/qa13_train.txt",
291
+ },
292
+ "qa7": {
293
+ "train": "tasks_1-20_v1-2/en-valid/qa7_train.txt",
294
+ "test": "tasks_1-20_v1-2/en-valid/qa7_test.txt",
295
+ "valid": "tasks_1-20_v1-2/en-valid/qa7_valid.txt",
296
+ },
297
+ "qa19": {
298
+ "valid": "tasks_1-20_v1-2/en-valid/qa19_valid.txt",
299
+ "test": "tasks_1-20_v1-2/en-valid/qa19_test.txt",
300
+ "train": "tasks_1-20_v1-2/en-valid/qa19_train.txt",
301
+ },
302
+ "qa17": {
303
+ "train": "tasks_1-20_v1-2/en-valid/qa17_train.txt",
304
+ "test": "tasks_1-20_v1-2/en-valid/qa17_test.txt",
305
+ "valid": "tasks_1-20_v1-2/en-valid/qa17_valid.txt",
306
+ },
307
+ "qa10": {
308
+ "test": "tasks_1-20_v1-2/en-valid/qa10_test.txt",
309
+ "valid": "tasks_1-20_v1-2/en-valid/qa10_valid.txt",
310
+ "train": "tasks_1-20_v1-2/en-valid/qa10_train.txt",
311
+ },
312
+ "qa18": {
313
+ "valid": "tasks_1-20_v1-2/en-valid/qa18_valid.txt",
314
+ "train": "tasks_1-20_v1-2/en-valid/qa18_train.txt",
315
+ "test": "tasks_1-20_v1-2/en-valid/qa18_test.txt",
316
+ },
317
+ },
318
+ "en-valid-10k": {
319
+ "qa5": {
320
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa5_train.txt",
321
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa5_test.txt",
322
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa5_valid.txt",
323
+ },
324
+ "qa16": {
325
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa16_valid.txt",
326
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa16_test.txt",
327
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa16_train.txt",
328
+ },
329
+ "qa2": {
330
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa2_valid.txt",
331
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa2_test.txt",
332
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa2_train.txt",
333
+ },
334
+ "qa15": {
335
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa15_train.txt",
336
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa15_test.txt",
337
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa15_valid.txt",
338
+ },
339
+ "qa9": {
340
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa9_test.txt",
341
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa9_train.txt",
342
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa9_valid.txt",
343
+ },
344
+ "qa1": {
345
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa1_valid.txt",
346
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa1_test.txt",
347
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa1_train.txt",
348
+ },
349
+ "qa4": {
350
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa4_test.txt",
351
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa4_train.txt",
352
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa4_valid.txt",
353
+ },
354
+ "qa14": {
355
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa14_valid.txt",
356
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa14_train.txt",
357
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa14_test.txt",
358
+ },
359
+ "qa3": {
360
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa3_test.txt",
361
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa3_train.txt",
362
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa3_valid.txt",
363
+ },
364
+ "qa6": {
365
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa6_valid.txt",
366
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa6_test.txt",
367
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa6_train.txt",
368
+ },
369
+ "qa8": {
370
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa8_test.txt",
371
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa8_valid.txt",
372
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa8_train.txt",
373
+ },
374
+ "qa20": {
375
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa20_train.txt",
376
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa20_valid.txt",
377
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa20_test.txt",
378
+ },
379
+ "qa11": {
380
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa11_test.txt",
381
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa11_train.txt",
382
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa11_valid.txt",
383
+ },
384
+ "qa12": {
385
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa12_test.txt",
386
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa12_valid.txt",
387
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa12_train.txt",
388
+ },
389
+ "qa13": {
390
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa13_test.txt",
391
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa13_valid.txt",
392
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa13_train.txt",
393
+ },
394
+ "qa7": {
395
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa7_train.txt",
396
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa7_test.txt",
397
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa7_valid.txt",
398
+ },
399
+ "qa19": {
400
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa19_valid.txt",
401
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa19_test.txt",
402
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa19_train.txt",
403
+ },
404
+ "qa17": {
405
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa17_train.txt",
406
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa17_test.txt",
407
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa17_valid.txt",
408
+ },
409
+ "qa10": {
410
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa10_test.txt",
411
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa10_valid.txt",
412
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa10_train.txt",
413
+ },
414
+ "qa18": {
415
+ "valid": "tasks_1-20_v1-2/en-valid-10k/qa18_valid.txt",
416
+ "train": "tasks_1-20_v1-2/en-valid-10k/qa18_train.txt",
417
+ "test": "tasks_1-20_v1-2/en-valid-10k/qa18_test.txt",
418
+ },
419
+ },
420
+ "hn": {
421
+ "qa9": {
422
+ "test": "tasks_1-20_v1-2/hn/qa9_simple-negation_test.txt",
423
+ "train": "tasks_1-20_v1-2/hn/qa9_simple-negation_train.txt",
424
+ },
425
+ "qa4": {
426
+ "train": "tasks_1-20_v1-2/hn/qa4_two-arg-relations_train.txt",
427
+ "test": "tasks_1-20_v1-2/hn/qa4_two-arg-relations_test.txt",
428
+ },
429
+ "qa6": {
430
+ "train": "tasks_1-20_v1-2/hn/qa6_yes-no-questions_train.txt",
431
+ "test": "tasks_1-20_v1-2/hn/qa6_yes-no-questions_test.txt",
432
+ },
433
+ "qa11": {
434
+ "test": "tasks_1-20_v1-2/hn/qa11_basic-coreference_test.txt",
435
+ "train": "tasks_1-20_v1-2/hn/qa11_basic-coreference_train.txt",
436
+ },
437
+ "qa3": {
438
+ "test": "tasks_1-20_v1-2/hn/qa3_three-supporting-facts_test.txt",
439
+ "train": "tasks_1-20_v1-2/hn/qa3_three-supporting-facts_train.txt",
440
+ },
441
+ "qa15": {
442
+ "test": "tasks_1-20_v1-2/hn/qa15_basic-deduction_test.txt",
443
+ "train": "tasks_1-20_v1-2/hn/qa15_basic-deduction_train.txt",
444
+ },
445
+ "qa17": {
446
+ "test": "tasks_1-20_v1-2/hn/qa17_positional-reasoning_test.txt",
447
+ "train": "tasks_1-20_v1-2/hn/qa17_positional-reasoning_train.txt",
448
+ },
449
+ "qa13": {
450
+ "test": "tasks_1-20_v1-2/hn/qa13_compound-coreference_test.txt",
451
+ "train": "tasks_1-20_v1-2/hn/qa13_compound-coreference_train.txt",
452
+ },
453
+ "qa1": {
454
+ "train": "tasks_1-20_v1-2/hn/qa1_single-supporting-fact_train.txt",
455
+ "test": "tasks_1-20_v1-2/hn/qa1_single-supporting-fact_test.txt",
456
+ },
457
+ "qa14": {
458
+ "train": "tasks_1-20_v1-2/hn/qa14_time-reasoning_train.txt",
459
+ "test": "tasks_1-20_v1-2/hn/qa14_time-reasoning_test.txt",
460
+ },
461
+ "qa16": {
462
+ "test": "tasks_1-20_v1-2/hn/qa16_basic-induction_test.txt",
463
+ "train": "tasks_1-20_v1-2/hn/qa16_basic-induction_train.txt",
464
+ },
465
+ "qa19": {
466
+ "test": "tasks_1-20_v1-2/hn/qa19_path-finding_test.txt",
467
+ "train": "tasks_1-20_v1-2/hn/qa19_path-finding_train.txt",
468
+ },
469
+ "qa18": {
470
+ "test": "tasks_1-20_v1-2/hn/qa18_size-reasoning_test.txt",
471
+ "train": "tasks_1-20_v1-2/hn/qa18_size-reasoning_train.txt",
472
+ },
473
+ "qa10": {
474
+ "train": "tasks_1-20_v1-2/hn/qa10_indefinite-knowledge_train.txt",
475
+ "test": "tasks_1-20_v1-2/hn/qa10_indefinite-knowledge_test.txt",
476
+ },
477
+ "qa7": {
478
+ "train": "tasks_1-20_v1-2/hn/qa7_counting_train.txt",
479
+ "test": "tasks_1-20_v1-2/hn/qa7_counting_test.txt",
480
+ },
481
+ "qa5": {
482
+ "test": "tasks_1-20_v1-2/hn/qa5_three-arg-relations_test.txt",
483
+ "train": "tasks_1-20_v1-2/hn/qa5_three-arg-relations_train.txt",
484
+ },
485
+ "qa12": {
486
+ "test": "tasks_1-20_v1-2/hn/qa12_conjunction_test.txt",
487
+ "train": "tasks_1-20_v1-2/hn/qa12_conjunction_train.txt",
488
+ },
489
+ "qa2": {
490
+ "train": "tasks_1-20_v1-2/hn/qa2_two-supporting-facts_train.txt",
491
+ "test": "tasks_1-20_v1-2/hn/qa2_two-supporting-facts_test.txt",
492
+ },
493
+ "qa20": {
494
+ "train": "tasks_1-20_v1-2/hn/qa20_agents-motivations_train.txt",
495
+ "test": "tasks_1-20_v1-2/hn/qa20_agents-motivations_test.txt",
496
+ },
497
+ "qa8": {
498
+ "train": "tasks_1-20_v1-2/hn/qa8_lists-sets_train.txt",
499
+ "test": "tasks_1-20_v1-2/hn/qa8_lists-sets_test.txt",
500
+ },
501
+ },
502
+ "hn-10k": {
503
+ "qa9": {
504
+ "test": "tasks_1-20_v1-2/hn-10k/qa9_simple-negation_test.txt",
505
+ "train": "tasks_1-20_v1-2/hn-10k/qa9_simple-negation_train.txt",
506
+ },
507
+ "qa4": {
508
+ "train": "tasks_1-20_v1-2/hn-10k/qa4_two-arg-relations_train.txt",
509
+ "test": "tasks_1-20_v1-2/hn-10k/qa4_two-arg-relations_test.txt",
510
+ },
511
+ "qa6": {
512
+ "train": "tasks_1-20_v1-2/hn-10k/qa6_yes-no-questions_train.txt",
513
+ "test": "tasks_1-20_v1-2/hn-10k/qa6_yes-no-questions_test.txt",
514
+ },
515
+ "qa11": {
516
+ "test": "tasks_1-20_v1-2/hn-10k/qa11_basic-coreference_test.txt",
517
+ "train": "tasks_1-20_v1-2/hn-10k/qa11_basic-coreference_train.txt",
518
+ },
519
+ "qa3": {
520
+ "test": "tasks_1-20_v1-2/hn-10k/qa3_three-supporting-facts_test.txt",
521
+ "train": "tasks_1-20_v1-2/hn-10k/qa3_three-supporting-facts_train.txt",
522
+ },
523
+ "qa15": {
524
+ "test": "tasks_1-20_v1-2/hn-10k/qa15_basic-deduction_test.txt",
525
+ "train": "tasks_1-20_v1-2/hn-10k/qa15_basic-deduction_train.txt",
526
+ },
527
+ "qa17": {
528
+ "test": "tasks_1-20_v1-2/hn-10k/qa17_positional-reasoning_test.txt",
529
+ "train": "tasks_1-20_v1-2/hn-10k/qa17_positional-reasoning_train.txt",
530
+ },
531
+ "qa13": {
532
+ "test": "tasks_1-20_v1-2/hn-10k/qa13_compound-coreference_test.txt",
533
+ "train": "tasks_1-20_v1-2/hn-10k/qa13_compound-coreference_train.txt",
534
+ },
535
+ "qa1": {
536
+ "train": "tasks_1-20_v1-2/hn-10k/qa1_single-supporting-fact_train.txt",
537
+ "test": "tasks_1-20_v1-2/hn-10k/qa1_single-supporting-fact_test.txt",
538
+ },
539
+ "qa14": {
540
+ "train": "tasks_1-20_v1-2/hn-10k/qa14_time-reasoning_train.txt",
541
+ "test": "tasks_1-20_v1-2/hn-10k/qa14_time-reasoning_test.txt",
542
+ },
543
+ "qa16": {
544
+ "test": "tasks_1-20_v1-2/hn-10k/qa16_basic-induction_test.txt",
545
+ "train": "tasks_1-20_v1-2/hn-10k/qa16_basic-induction_train.txt",
546
+ },
547
+ "qa19": {
548
+ "test": "tasks_1-20_v1-2/hn-10k/qa19_path-finding_test.txt",
549
+ "train": "tasks_1-20_v1-2/hn-10k/qa19_path-finding_train.txt",
550
+ },
551
+ "qa18": {
552
+ "test": "tasks_1-20_v1-2/hn-10k/qa18_size-reasoning_test.txt",
553
+ "train": "tasks_1-20_v1-2/hn-10k/qa18_size-reasoning_train.txt",
554
+ },
555
+ "qa10": {
556
+ "train": "tasks_1-20_v1-2/hn-10k/qa10_indefinite-knowledge_train.txt",
557
+ "test": "tasks_1-20_v1-2/hn-10k/qa10_indefinite-knowledge_test.txt",
558
+ },
559
+ "qa7": {
560
+ "train": "tasks_1-20_v1-2/hn-10k/qa7_counting_train.txt",
561
+ "test": "tasks_1-20_v1-2/hn-10k/qa7_counting_test.txt",
562
+ },
563
+ "qa5": {
564
+ "test": "tasks_1-20_v1-2/hn-10k/qa5_three-arg-relations_test.txt",
565
+ "train": "tasks_1-20_v1-2/hn-10k/qa5_three-arg-relations_train.txt",
566
+ },
567
+ "qa12": {
568
+ "test": "tasks_1-20_v1-2/hn-10k/qa12_conjunction_test.txt",
569
+ "train": "tasks_1-20_v1-2/hn-10k/qa12_conjunction_train.txt",
570
+ },
571
+ "qa2": {
572
+ "train": "tasks_1-20_v1-2/hn-10k/qa2_two-supporting-facts_train.txt",
573
+ "test": "tasks_1-20_v1-2/hn-10k/qa2_two-supporting-facts_test.txt",
574
+ },
575
+ "qa20": {
576
+ "train": "tasks_1-20_v1-2/hn-10k/qa20_agents-motivations_train.txt",
577
+ "test": "tasks_1-20_v1-2/hn-10k/qa20_agents-motivations_test.txt",
578
+ },
579
+ "qa8": {
580
+ "train": "tasks_1-20_v1-2/hn-10k/qa8_lists-sets_train.txt",
581
+ "test": "tasks_1-20_v1-2/hn-10k/qa8_lists-sets_test.txt",
582
+ },
583
+ },
584
+ "shuffled": {
585
+ "qa9": {
586
+ "test": "tasks_1-20_v1-2/shuffled/qa9_simple-negation_test.txt",
587
+ "train": "tasks_1-20_v1-2/shuffled/qa9_simple-negation_train.txt",
588
+ },
589
+ "qa4": {
590
+ "train": "tasks_1-20_v1-2/shuffled/qa4_two-arg-relations_train.txt",
591
+ "test": "tasks_1-20_v1-2/shuffled/qa4_two-arg-relations_test.txt",
592
+ },
593
+ "qa6": {
594
+ "train": "tasks_1-20_v1-2/shuffled/qa6_yes-no-questions_train.txt",
595
+ "test": "tasks_1-20_v1-2/shuffled/qa6_yes-no-questions_test.txt",
596
+ },
597
+ "qa11": {
598
+ "test": "tasks_1-20_v1-2/shuffled/qa11_basic-coreference_test.txt",
599
+ "train": "tasks_1-20_v1-2/shuffled/qa11_basic-coreference_train.txt",
600
+ },
601
+ "qa3": {
602
+ "test": "tasks_1-20_v1-2/shuffled/qa3_three-supporting-facts_test.txt",
603
+ "train": "tasks_1-20_v1-2/shuffled/qa3_three-supporting-facts_train.txt",
604
+ },
605
+ "qa15": {
606
+ "test": "tasks_1-20_v1-2/shuffled/qa15_basic-deduction_test.txt",
607
+ "train": "tasks_1-20_v1-2/shuffled/qa15_basic-deduction_train.txt",
608
+ },
609
+ "qa17": {
610
+ "test": "tasks_1-20_v1-2/shuffled/qa17_positional-reasoning_test.txt",
611
+ "train": "tasks_1-20_v1-2/shuffled/qa17_positional-reasoning_train.txt",
612
+ },
613
+ "qa13": {
614
+ "test": "tasks_1-20_v1-2/shuffled/qa13_compound-coreference_test.txt",
615
+ "train": "tasks_1-20_v1-2/shuffled/qa13_compound-coreference_train.txt",
616
+ },
617
+ "qa1": {
618
+ "train": "tasks_1-20_v1-2/shuffled/qa1_single-supporting-fact_train.txt",
619
+ "test": "tasks_1-20_v1-2/shuffled/qa1_single-supporting-fact_test.txt",
620
+ },
621
+ "qa14": {
622
+ "train": "tasks_1-20_v1-2/shuffled/qa14_time-reasoning_train.txt",
623
+ "test": "tasks_1-20_v1-2/shuffled/qa14_time-reasoning_test.txt",
624
+ },
625
+ "qa16": {
626
+ "test": "tasks_1-20_v1-2/shuffled/qa16_basic-induction_test.txt",
627
+ "train": "tasks_1-20_v1-2/shuffled/qa16_basic-induction_train.txt",
628
+ },
629
+ "qa19": {
630
+ "test": "tasks_1-20_v1-2/shuffled/qa19_path-finding_test.txt",
631
+ "train": "tasks_1-20_v1-2/shuffled/qa19_path-finding_train.txt",
632
+ },
633
+ "qa18": {
634
+ "test": "tasks_1-20_v1-2/shuffled/qa18_size-reasoning_test.txt",
635
+ "train": "tasks_1-20_v1-2/shuffled/qa18_size-reasoning_train.txt",
636
+ },
637
+ "qa10": {
638
+ "train": "tasks_1-20_v1-2/shuffled/qa10_indefinite-knowledge_train.txt",
639
+ "test": "tasks_1-20_v1-2/shuffled/qa10_indefinite-knowledge_test.txt",
640
+ },
641
+ "qa7": {
642
+ "train": "tasks_1-20_v1-2/shuffled/qa7_counting_train.txt",
643
+ "test": "tasks_1-20_v1-2/shuffled/qa7_counting_test.txt",
644
+ },
645
+ "qa5": {
646
+ "test": "tasks_1-20_v1-2/shuffled/qa5_three-arg-relations_test.txt",
647
+ "train": "tasks_1-20_v1-2/shuffled/qa5_three-arg-relations_train.txt",
648
+ },
649
+ "qa12": {
650
+ "test": "tasks_1-20_v1-2/shuffled/qa12_conjunction_test.txt",
651
+ "train": "tasks_1-20_v1-2/shuffled/qa12_conjunction_train.txt",
652
+ },
653
+ "qa2": {
654
+ "train": "tasks_1-20_v1-2/shuffled/qa2_two-supporting-facts_train.txt",
655
+ "test": "tasks_1-20_v1-2/shuffled/qa2_two-supporting-facts_test.txt",
656
+ },
657
+ "qa20": {
658
+ "train": "tasks_1-20_v1-2/shuffled/qa20_agents-motivations_train.txt",
659
+ "test": "tasks_1-20_v1-2/shuffled/qa20_agents-motivations_test.txt",
660
+ },
661
+ "qa8": {
662
+ "train": "tasks_1-20_v1-2/shuffled/qa8_lists-sets_train.txt",
663
+ "test": "tasks_1-20_v1-2/shuffled/qa8_lists-sets_test.txt",
664
+ },
665
+ },
666
+ "shuffled-10k": {
667
+ "qa9": {
668
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa9_simple-negation_test.txt",
669
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa9_simple-negation_train.txt",
670
+ },
671
+ "qa4": {
672
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa4_two-arg-relations_train.txt",
673
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa4_two-arg-relations_test.txt",
674
+ },
675
+ "qa6": {
676
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa6_yes-no-questions_train.txt",
677
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa6_yes-no-questions_test.txt",
678
+ },
679
+ "qa11": {
680
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa11_basic-coreference_test.txt",
681
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa11_basic-coreference_train.txt",
682
+ },
683
+ "qa3": {
684
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa3_three-supporting-facts_test.txt",
685
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa3_three-supporting-facts_train.txt",
686
+ },
687
+ "qa15": {
688
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa15_basic-deduction_test.txt",
689
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa15_basic-deduction_train.txt",
690
+ },
691
+ "qa17": {
692
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa17_positional-reasoning_test.txt",
693
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa17_positional-reasoning_train.txt",
694
+ },
695
+ "qa13": {
696
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa13_compound-coreference_test.txt",
697
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa13_compound-coreference_train.txt",
698
+ },
699
+ "qa1": {
700
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa1_single-supporting-fact_train.txt",
701
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa1_single-supporting-fact_test.txt",
702
+ },
703
+ "qa14": {
704
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa14_time-reasoning_train.txt",
705
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa14_time-reasoning_test.txt",
706
+ },
707
+ "qa16": {
708
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa16_basic-induction_test.txt",
709
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa16_basic-induction_train.txt",
710
+ },
711
+ "qa19": {
712
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa19_path-finding_test.txt",
713
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa19_path-finding_train.txt",
714
+ },
715
+ "qa18": {
716
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa18_size-reasoning_test.txt",
717
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa18_size-reasoning_train.txt",
718
+ },
719
+ "qa10": {
720
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa10_indefinite-knowledge_train.txt",
721
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa10_indefinite-knowledge_test.txt",
722
+ },
723
+ "qa7": {
724
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa7_counting_train.txt",
725
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa7_counting_test.txt",
726
+ },
727
+ "qa5": {
728
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa5_three-arg-relations_test.txt",
729
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa5_three-arg-relations_train.txt",
730
+ },
731
+ "qa12": {
732
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa12_conjunction_test.txt",
733
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa12_conjunction_train.txt",
734
+ },
735
+ "qa2": {
736
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa2_two-supporting-facts_train.txt",
737
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa2_two-supporting-facts_test.txt",
738
+ },
739
+ "qa20": {
740
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa20_agents-motivations_train.txt",
741
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa20_agents-motivations_test.txt",
742
+ },
743
+ "qa8": {
744
+ "train": "tasks_1-20_v1-2/shuffled-10k/qa8_lists-sets_train.txt",
745
+ "test": "tasks_1-20_v1-2/shuffled-10k/qa8_lists-sets_test.txt",
746
+ },
747
+ },
748
+ }
749
+
750
+
751
+ class BabiQaConfig(datasets.BuilderConfig):
752
+ def __init__(self, *args, type=None, task_no=None, **kwargs):
753
+ super().__init__(
754
+ *args,
755
+ name=f"{type}-{task_no}",
756
+ **kwargs,
757
+ )
758
+ self.type = type
759
+ self.task_no = task_no
760
+
761
+
762
+ class BabiQa(datasets.GeneratorBasedBuilder):
763
+ """The bAbI QA (20) tasks Dataset"""
764
+
765
+ VERSION = datasets.Version("1.2.0")
766
+
767
+ BUILDER_CONFIG_CLASS = BabiQaConfig
768
+
769
+ BUILDER_CONFIGS = [
770
+ BabiQaConfig(
771
+ type="en",
772
+ task_no="qa1",
773
+ version=VERSION,
774
+ description="This part of the config handles the `qa1` task of the bAbI `en` dataset",
775
+ ),
776
+ BabiQaConfig(
777
+ type="hn",
778
+ task_no="qa1",
779
+ version=VERSION,
780
+ description="This part of the config handles the `qa1` task of the bAbI `hn` dataset",
781
+ ),
782
+ BabiQaConfig(
783
+ type="en-10k",
784
+ task_no="qa1",
785
+ version=VERSION,
786
+ description="This part of the config handles the `qa1` task of the bAbI `en-10k` dataset",
787
+ ),
788
+ BabiQaConfig(
789
+ type="en-valid",
790
+ task_no="qa1",
791
+ version=VERSION,
792
+ description="This part of the config handles the `qa1` task of the bAbI `en-valid` dataset",
793
+ ),
794
+ BabiQaConfig(
795
+ type="en-valid-10k",
796
+ task_no="qa1",
797
+ version=VERSION,
798
+ description="This part of the config handles the `qa1` task of the bAbI `en-valid-10k` dataset",
799
+ ),
800
+ BabiQaConfig(
801
+ type="hn-10k",
802
+ task_no="qa1",
803
+ version=VERSION,
804
+ description="This part of the config handles the `qa1` task of the bAbI `hn-10k` dataset",
805
+ ),
806
+ BabiQaConfig(
807
+ type="shuffled",
808
+ task_no="qa1",
809
+ version=VERSION,
810
+ description="This part of the config handles the `qa1` task of the bAbI `shuffled` dataset",
811
+ ),
812
+ BabiQaConfig(
813
+ type="shuffled-10k",
814
+ task_no="qa1",
815
+ version=VERSION,
816
+ description="This part of the config handles the `qa1` task of the bAbI `shuffled-10k` dataset",
817
+ ),
818
+ ]
819
+
820
+ def _info(self):
821
+ features = datasets.Features(
822
+ {
823
+ "story": datasets.Sequence(
824
+ {
825
+ "id": datasets.Value("string"),
826
+ "type": datasets.ClassLabel(names=["context", "question"]),
827
+ "text": datasets.Value("string"),
828
+ "supporting_ids": datasets.Sequence(datasets.Value("string")),
829
+ "answer": datasets.Value("string"),
830
+ }
831
+ ),
832
+ }
833
+ )
834
+ return datasets.DatasetInfo(
835
+ # This is the description that will appear on the datasets page.
836
+ description=_DESCRIPTION,
837
+ # This defines the different columns of the dataset and their types
838
+ features=features, # Here we define them above because they are different between the two configurations
839
+ # If there's a common (input, target) tuple from the features,
840
+ # specify them here. They'll be used if as_supervised=True in
841
+ # builder.as_dataset.
842
+ supervised_keys=None,
843
+ # Homepage of the dataset for documentation
844
+ homepage=_HOMEPAGE,
845
+ # License for the dataset if available
846
+ license=_LICENSE,
847
+ # Citation for the dataset
848
+ citation=_CITATION,
849
+ )
850
+
851
+ def _split_generators(self, dl_manager):
852
+ """Returns SplitGenerators."""
853
+ my_urls = ZIP_URL
854
+ data_dir = dl_manager.download_and_extract(my_urls)
855
+ splits = [
856
+ datasets.SplitGenerator(
857
+ name=datasets.Split.TRAIN,
858
+ # These kwargs will be passed to _generate_examples
859
+ gen_kwargs={
860
+ "filepath": os.path.join(data_dir, paths[self.config.type][self.config.task_no]["train"]),
861
+ },
862
+ ),
863
+ datasets.SplitGenerator(
864
+ name=datasets.Split.TEST,
865
+ # These kwargs will be passed to _generate_examples
866
+ gen_kwargs={
867
+ "filepath": os.path.join(data_dir, paths[self.config.type][self.config.task_no]["test"]),
868
+ },
869
+ ),
870
+ ]
871
+ if "valid" in self.config.type:
872
+ splits += [
873
+ datasets.SplitGenerator(
874
+ name=datasets.Split.VALIDATION,
875
+ # These kwargs will be passed to _generate_examples
876
+ gen_kwargs={
877
+ "filepath": os.path.join(data_dir, paths[self.config.type][self.config.task_no]["valid"]),
878
+ },
879
+ ),
880
+ ]
881
+ return splits
882
+
883
+ def _generate_examples(self, filepath):
884
+
885
+ with open(filepath, encoding="utf-8") as f:
886
+ story = []
887
+ example_idx = 0
888
+ for idx, line in enumerate(f):
889
+ if line.strip() == "":
890
+ if story != []:
891
+ yield example_idx, {"story": story}
892
+ example_idx += 1
893
+ story = []
894
+ elif line.strip().split()[0] == "1": # New story
895
+ if story != []: # Already some story, flush it out
896
+ yield example_idx, {"story": story}
897
+ example_idx += 1
898
+ story = []
899
+ line_no = line.split()[0]
900
+ line_split = line[len(line_no) :].strip().split("\t")
901
+ if len(line_split) > 1:
902
+ story.append(
903
+ {
904
+ "id": line_no,
905
+ "type": 1, # question
906
+ "supporting_ids": line_split[-1].split(" "),
907
+ "text": line_split[0].strip(),
908
+ "answer": line_split[1].strip(),
909
+ }
910
+ )
911
+ else:
912
+ story.append(
913
+ {
914
+ "id": line_no,
915
+ "type": 0, # context
916
+ "supporting_ids": [],
917
+ "text": line_split[0].strip(),
918
+ "answer": "",
919
+ }
920
+ )
921
+ else:
922
+ line_no = line.split()[0]
923
+ line_split = line[len(line_no) :].strip().split("\t")
924
+ if len(line_split) > 1:
925
+ story.append(
926
+ {
927
+ "id": line_no,
928
+ "type": 1, # question
929
+ "supporting_ids": line_split[-1].split(" "),
930
+ "text": line_split[0].strip(),
931
+ "answer": line_split[1].strip(),
932
+ }
933
+ )
934
+ else:
935
+ story.append(
936
+ {
937
+ "id": line_no,
938
+ "type": 0, # context
939
+ "supporting_ids": [],
940
+ "text": line_split[0].strip(),
941
+ "answer": "",
942
+ }
943
+ )
944
+ else: # After last line
945
+ if story != []:
946
+ yield example_idx, {"story": story}
dataset_infos.json ADDED
The diff for this file is too large to render. See raw diff
 
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