Replace YAML keys from int to str

#7
by albertvillanova HF staff - opened
Files changed (1) hide show
  1. README.md +135 -135
README.md CHANGED
@@ -23,115 +23,6 @@ task_ids:
23
  - text-scoring
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  paperswithcode_id: glue
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  pretty_name: GLUE (General Language Understanding Evaluation benchmark)
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- train-eval-index:
27
- - config: cola
28
- task: text-classification
29
- task_id: binary_classification
30
- splits:
31
- train_split: train
32
- eval_split: validation
33
- col_mapping:
34
- sentence: text
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- label: target
36
- - config: sst2
37
- task: text-classification
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- task_id: binary_classification
39
- splits:
40
- train_split: train
41
- eval_split: validation
42
- col_mapping:
43
- sentence: text
44
- label: target
45
- - config: mrpc
46
- task: text-classification
47
- task_id: natural_language_inference
48
- splits:
49
- train_split: train
50
- eval_split: validation
51
- col_mapping:
52
- sentence1: text1
53
- sentence2: text2
54
- label: target
55
- - config: qqp
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- task: text-classification
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- task_id: natural_language_inference
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- splits:
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- train_split: train
60
- eval_split: validation
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- col_mapping:
62
- question1: text1
63
- question2: text2
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- label: target
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- - config: stsb
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- task: text-classification
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- task_id: natural_language_inference
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- splits:
69
- train_split: train
70
- eval_split: validation
71
- col_mapping:
72
- sentence1: text1
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- sentence2: text2
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- label: target
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- - config: mnli
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- task: text-classification
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- task_id: natural_language_inference
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- splits:
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- train_split: train
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- eval_split: validation_matched
81
- col_mapping:
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- premise: text1
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- hypothesis: text2
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- label: target
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- - config: mnli_mismatched
86
- task: text-classification
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- task_id: natural_language_inference
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- splits:
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- train_split: train
90
- eval_split: validation
91
- col_mapping:
92
- premise: text1
93
- hypothesis: text2
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- label: target
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- - config: mnli_matched
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- task: text-classification
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- task_id: natural_language_inference
98
- splits:
99
- train_split: train
100
- eval_split: validation
101
- col_mapping:
102
- premise: text1
103
- hypothesis: text2
104
- label: target
105
- - config: qnli
106
- task: text-classification
107
- task_id: natural_language_inference
108
- splits:
109
- train_split: train
110
- eval_split: validation
111
- col_mapping:
112
- question: text1
113
- sentence: text2
114
- label: target
115
- - config: rte
116
- task: text-classification
117
- task_id: natural_language_inference
118
- splits:
119
- train_split: train
120
- eval_split: validation
121
- col_mapping:
122
- sentence1: text1
123
- sentence2: text2
124
- label: target
125
- - config: wnli
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- task: text-classification
127
- task_id: natural_language_inference
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- splits:
129
- train_split: train
130
- eval_split: validation
131
- col_mapping:
132
- sentence1: text1
133
- sentence2: text2
134
- label: target
135
  configs:
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  - ax
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  - cola
@@ -158,8 +49,8 @@ dataset_info:
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  dtype:
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  class_label:
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  names:
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- 0: unacceptable
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- 1: acceptable
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  - name: idx
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  dtype: int32
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  splits:
@@ -182,8 +73,8 @@ dataset_info:
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  dtype:
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  class_label:
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  names:
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- 0: negative
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- 1: positive
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  - name: idx
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  dtype: int32
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  splits:
@@ -208,8 +99,8 @@ dataset_info:
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  dtype:
209
  class_label:
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  names:
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- 0: not_equivalent
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- 1: equivalent
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  - name: idx
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  dtype: int32
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  splits:
@@ -234,8 +125,8 @@ dataset_info:
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  dtype:
235
  class_label:
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  names:
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- 0: not_duplicate
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- 1: duplicate
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  - name: idx
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  dtype: int32
241
  splits:
@@ -282,9 +173,9 @@ dataset_info:
282
  dtype:
283
  class_label:
284
  names:
285
- 0: entailment
286
- 1: neutral
287
- 2: contradiction
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  - name: idx
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  dtype: int32
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  splits:
@@ -315,9 +206,9 @@ dataset_info:
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  dtype:
316
  class_label:
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  names:
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- 0: entailment
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- 1: neutral
320
- 2: contradiction
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  - name: idx
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  dtype: int32
323
  splits:
@@ -339,9 +230,9 @@ dataset_info:
339
  dtype:
340
  class_label:
341
  names:
342
- 0: entailment
343
- 1: neutral
344
- 2: contradiction
345
  - name: idx
346
  dtype: int32
347
  splits:
@@ -363,8 +254,8 @@ dataset_info:
363
  dtype:
364
  class_label:
365
  names:
366
- 0: entailment
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- 1: not_entailment
368
  - name: idx
369
  dtype: int32
370
  splits:
@@ -389,8 +280,8 @@ dataset_info:
389
  dtype:
390
  class_label:
391
  names:
392
- 0: entailment
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- 1: not_entailment
394
  - name: idx
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  dtype: int32
396
  splits:
@@ -415,8 +306,8 @@ dataset_info:
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  dtype:
416
  class_label:
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  names:
418
- 0: not_entailment
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- 1: entailment
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  - name: idx
421
  dtype: int32
422
  splits:
@@ -441,9 +332,9 @@ dataset_info:
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  dtype:
442
  class_label:
443
  names:
444
- 0: entailment
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- 1: neutral
446
- 2: contradiction
447
  - name: idx
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  dtype: int32
449
  splits:
@@ -452,6 +343,115 @@ dataset_info:
452
  num_examples: 1104
453
  download_size: 222257
454
  dataset_size: 238392
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
455
  ---
456
 
457
  # Dataset Card for GLUE
 
23
  - text-scoring
24
  paperswithcode_id: glue
25
  pretty_name: GLUE (General Language Understanding Evaluation benchmark)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
26
  configs:
27
  - ax
28
  - cola
 
49
  dtype:
50
  class_label:
51
  names:
52
+ '0': unacceptable
53
+ '1': acceptable
54
  - name: idx
55
  dtype: int32
56
  splits:
 
73
  dtype:
74
  class_label:
75
  names:
76
+ '0': negative
77
+ '1': positive
78
  - name: idx
79
  dtype: int32
80
  splits:
 
99
  dtype:
100
  class_label:
101
  names:
102
+ '0': not_equivalent
103
+ '1': equivalent
104
  - name: idx
105
  dtype: int32
106
  splits:
 
125
  dtype:
126
  class_label:
127
  names:
128
+ '0': not_duplicate
129
+ '1': duplicate
130
  - name: idx
131
  dtype: int32
132
  splits:
 
173
  dtype:
174
  class_label:
175
  names:
176
+ '0': entailment
177
+ '1': neutral
178
+ '2': contradiction
179
  - name: idx
180
  dtype: int32
181
  splits:
 
206
  dtype:
207
  class_label:
208
  names:
209
+ '0': entailment
210
+ '1': neutral
211
+ '2': contradiction
212
  - name: idx
213
  dtype: int32
214
  splits:
 
230
  dtype:
231
  class_label:
232
  names:
233
+ '0': entailment
234
+ '1': neutral
235
+ '2': contradiction
236
  - name: idx
237
  dtype: int32
238
  splits:
 
254
  dtype:
255
  class_label:
256
  names:
257
+ '0': entailment
258
+ '1': not_entailment
259
  - name: idx
260
  dtype: int32
261
  splits:
 
280
  dtype:
281
  class_label:
282
  names:
283
+ '0': entailment
284
+ '1': not_entailment
285
  - name: idx
286
  dtype: int32
287
  splits:
 
306
  dtype:
307
  class_label:
308
  names:
309
+ '0': not_entailment
310
+ '1': entailment
311
  - name: idx
312
  dtype: int32
313
  splits:
 
332
  dtype:
333
  class_label:
334
  names:
335
+ '0': entailment
336
+ '1': neutral
337
+ '2': contradiction
338
  - name: idx
339
  dtype: int32
340
  splits:
 
343
  num_examples: 1104
344
  download_size: 222257
345
  dataset_size: 238392
346
+ train-eval-index:
347
+ - config: cola
348
+ task: text-classification
349
+ task_id: binary_classification
350
+ splits:
351
+ train_split: train
352
+ eval_split: validation
353
+ col_mapping:
354
+ sentence: text
355
+ label: target
356
+ - config: sst2
357
+ task: text-classification
358
+ task_id: binary_classification
359
+ splits:
360
+ train_split: train
361
+ eval_split: validation
362
+ col_mapping:
363
+ sentence: text
364
+ label: target
365
+ - config: mrpc
366
+ task: text-classification
367
+ task_id: natural_language_inference
368
+ splits:
369
+ train_split: train
370
+ eval_split: validation
371
+ col_mapping:
372
+ sentence1: text1
373
+ sentence2: text2
374
+ label: target
375
+ - config: qqp
376
+ task: text-classification
377
+ task_id: natural_language_inference
378
+ splits:
379
+ train_split: train
380
+ eval_split: validation
381
+ col_mapping:
382
+ question1: text1
383
+ question2: text2
384
+ label: target
385
+ - config: stsb
386
+ task: text-classification
387
+ task_id: natural_language_inference
388
+ splits:
389
+ train_split: train
390
+ eval_split: validation
391
+ col_mapping:
392
+ sentence1: text1
393
+ sentence2: text2
394
+ label: target
395
+ - config: mnli
396
+ task: text-classification
397
+ task_id: natural_language_inference
398
+ splits:
399
+ train_split: train
400
+ eval_split: validation_matched
401
+ col_mapping:
402
+ premise: text1
403
+ hypothesis: text2
404
+ label: target
405
+ - config: mnli_mismatched
406
+ task: text-classification
407
+ task_id: natural_language_inference
408
+ splits:
409
+ train_split: train
410
+ eval_split: validation
411
+ col_mapping:
412
+ premise: text1
413
+ hypothesis: text2
414
+ label: target
415
+ - config: mnli_matched
416
+ task: text-classification
417
+ task_id: natural_language_inference
418
+ splits:
419
+ train_split: train
420
+ eval_split: validation
421
+ col_mapping:
422
+ premise: text1
423
+ hypothesis: text2
424
+ label: target
425
+ - config: qnli
426
+ task: text-classification
427
+ task_id: natural_language_inference
428
+ splits:
429
+ train_split: train
430
+ eval_split: validation
431
+ col_mapping:
432
+ question: text1
433
+ sentence: text2
434
+ label: target
435
+ - config: rte
436
+ task: text-classification
437
+ task_id: natural_language_inference
438
+ splits:
439
+ train_split: train
440
+ eval_split: validation
441
+ col_mapping:
442
+ sentence1: text1
443
+ sentence2: text2
444
+ label: target
445
+ - config: wnli
446
+ task: text-classification
447
+ task_id: natural_language_inference
448
+ splits:
449
+ train_split: train
450
+ eval_split: validation
451
+ col_mapping:
452
+ sentence1: text1
453
+ sentence2: text2
454
+ label: target
455
  ---
456
 
457
  # Dataset Card for GLUE