albertvillanova HF staff commited on
Commit
2c46ab7
1 Parent(s): 4ddaec5

Replace YAML keys from int to str

Browse files

Replace YAML metadata integer keys with strings, as the Hub does not support integers.
See: https://github.com/huggingface/datasets/issues/5275

Files changed (1) hide show
  1. README.md +247 -247
README.md CHANGED
@@ -1,5 +1,4 @@
1
  ---
2
- pretty_name: LexGLUE
3
  annotations_creators:
4
  - found
5
  language_creators:
@@ -22,6 +21,7 @@ task_ids:
22
  - multi-label-classification
23
  - multiple-choice-qa
24
  - topic-classification
 
25
  configs:
26
  - case_hold
27
  - ecthr_a
@@ -39,16 +39,16 @@ dataset_info:
39
  sequence:
40
  class_label:
41
  names:
42
- 0: '2'
43
- 1: '3'
44
- 2: '5'
45
- 3: '6'
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- 4: '8'
47
- 5: '9'
48
- 6: '10'
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- 7: '11'
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- 8: '14'
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- 9: P1-1
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  splits:
53
  - name: train
54
  num_bytes: 89637461
@@ -69,16 +69,16 @@ dataset_info:
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  sequence:
70
  class_label:
71
  names:
72
- 0: '2'
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- 1: '3'
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- 2: '5'
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- 3: '6'
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- 4: '8'
77
- 5: '9'
78
- 6: '10'
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- 7: '11'
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- 8: '14'
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- 9: P1-1
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  splits:
83
  - name: train
84
  num_bytes: 89657661
@@ -99,106 +99,106 @@ dataset_info:
99
  sequence:
100
  class_label:
101
  names:
102
- 0: '100163'
103
- 1: '100168'
104
- 2: '100169'
105
- 3: '100170'
106
- 4: '100171'
107
- 5: '100172'
108
- 6: '100173'
109
- 7: '100174'
110
- 8: '100175'
111
- 9: '100176'
112
- 10: '100177'
113
- 11: '100179'
114
- 12: '100180'
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- 13: '100183'
116
- 14: '100184'
117
- 15: '100185'
118
- 16: '100186'
119
- 17: '100187'
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- 18: '100189'
121
- 19: '100190'
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- 20: '100191'
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- 21: '100192'
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- 22: '100193'
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- 23: '100194'
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- 24: '100195'
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- 25: '100196'
128
- 26: '100197'
129
- 27: '100198'
130
- 28: '100199'
131
- 29: '100200'
132
- 30: '100201'
133
- 31: '100202'
134
- 32: '100204'
135
- 33: '100205'
136
- 34: '100206'
137
- 35: '100207'
138
- 36: '100212'
139
- 37: '100214'
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- 38: '100215'
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- 39: '100220'
142
- 40: '100221'
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- 41: '100222'
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- 42: '100223'
145
- 43: '100224'
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- 44: '100226'
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- 45: '100227'
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- 46: '100229'
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- 47: '100230'
150
- 48: '100231'
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- 49: '100232'
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- 50: '100233'
153
- 51: '100234'
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- 52: '100235'
155
- 53: '100237'
156
- 54: '100238'
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- 55: '100239'
158
- 56: '100240'
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- 57: '100241'
160
- 58: '100242'
161
- 59: '100243'
162
- 60: '100244'
163
- 61: '100245'
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- 62: '100246'
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- 63: '100247'
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- 64: '100248'
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- 65: '100249'
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- 66: '100250'
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- 67: '100252'
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- 68: '100253'
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- 69: '100254'
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- 70: '100255'
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- 71: '100256'
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- 72: '100257'
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- 73: '100258'
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- 74: '100259'
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- 75: '100260'
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- 76: '100261'
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- 77: '100262'
180
- 78: '100263'
181
- 79: '100264'
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- 80: '100265'
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- 81: '100266'
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- 82: '100268'
185
- 83: '100269'
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- 84: '100270'
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- 85: '100271'
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- 86: '100272'
189
- 87: '100273'
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- 88: '100274'
191
- 89: '100275'
192
- 90: '100276'
193
- 91: '100277'
194
- 92: '100278'
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- 93: '100279'
196
- 94: '100280'
197
- 95: '100281'
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- 96: '100282'
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- 97: '100283'
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- 98: '100284'
201
- 99: '100285'
202
  splits:
203
  - name: train
204
  num_bytes: 390770289
@@ -219,19 +219,19 @@ dataset_info:
219
  dtype:
220
  class_label:
221
  names:
222
- 0: '1'
223
- 1: '2'
224
- 2: '3'
225
- 3: '4'
226
- 4: '5'
227
- 5: '6'
228
- 6: '7'
229
- 7: '8'
230
- 8: '9'
231
- 9: '10'
232
- 10: '11'
233
- 11: '12'
234
- 12: '13'
235
  splits:
236
  - name: train
237
  num_bytes: 178959320
@@ -252,106 +252,106 @@ dataset_info:
252
  dtype:
253
  class_label:
254
  names:
255
- 0: Adjustments
256
- 1: Agreements
257
- 2: Amendments
258
- 3: Anti-Corruption Laws
259
- 4: Applicable Laws
260
- 5: Approvals
261
- 6: Arbitration
262
- 7: Assignments
263
- 8: Assigns
264
- 9: Authority
265
- 10: Authorizations
266
- 11: Base Salary
267
- 12: Benefits
268
- 13: Binding Effects
269
- 14: Books
270
- 15: Brokers
271
- 16: Capitalization
272
- 17: Change In Control
273
- 18: Closings
274
- 19: Compliance With Laws
275
- 20: Confidentiality
276
- 21: Consent To Jurisdiction
277
- 22: Consents
278
- 23: Construction
279
- 24: Cooperation
280
- 25: Costs
281
- 26: Counterparts
282
- 27: Death
283
- 28: Defined Terms
284
- 29: Definitions
285
- 30: Disability
286
- 31: Disclosures
287
- 32: Duties
288
- 33: Effective Dates
289
- 34: Effectiveness
290
- 35: Employment
291
- 36: Enforceability
292
- 37: Enforcements
293
- 38: Entire Agreements
294
- 39: Erisa
295
- 40: Existence
296
- 41: Expenses
297
- 42: Fees
298
- 43: Financial Statements
299
- 44: Forfeitures
300
- 45: Further Assurances
301
- 46: General
302
- 47: Governing Laws
303
- 48: Headings
304
- 49: Indemnifications
305
- 50: Indemnity
306
- 51: Insurances
307
- 52: Integration
308
- 53: Intellectual Property
309
- 54: Interests
310
- 55: Interpretations
311
- 56: Jurisdictions
312
- 57: Liens
313
- 58: Litigations
314
- 59: Miscellaneous
315
- 60: Modifications
316
- 61: No Conflicts
317
- 62: No Defaults
318
- 63: No Waivers
319
- 64: Non-Disparagement
320
- 65: Notices
321
- 66: Organizations
322
- 67: Participations
323
- 68: Payments
324
- 69: Positions
325
- 70: Powers
326
- 71: Publicity
327
- 72: Qualifications
328
- 73: Records
329
- 74: Releases
330
- 75: Remedies
331
- 76: Representations
332
- 77: Sales
333
- 78: Sanctions
334
- 79: Severability
335
- 80: Solvency
336
- 81: Specific Performance
337
- 82: Submission To Jurisdiction
338
- 83: Subsidiaries
339
- 84: Successors
340
- 85: Survival
341
- 86: Tax Withholdings
342
- 87: Taxes
343
- 88: Terminations
344
- 89: Terms
345
- 90: Titles
346
- 91: Transactions With Affiliates
347
- 92: Use Of Proceeds
348
- 93: Vacations
349
- 94: Venues
350
- 95: Vesting
351
- 96: Waiver Of Jury Trials
352
- 97: Waivers
353
- 98: Warranties
354
- 99: Withholdings
355
  splits:
356
  - name: train
357
  num_bytes: 43358315
@@ -372,14 +372,14 @@ dataset_info:
372
  sequence:
373
  class_label:
374
  names:
375
- 0: Limitation of liability
376
- 1: Unilateral termination
377
- 2: Unilateral change
378
- 3: Content removal
379
- 4: Contract by using
380
- 5: Choice of law
381
- 6: Jurisdiction
382
- 7: Arbitration
383
  splits:
384
  - name: train
385
  num_bytes: 1041790
@@ -402,11 +402,11 @@ dataset_info:
402
  dtype:
403
  class_label:
404
  names:
405
- 0: '0'
406
- 1: '1'
407
- 2: '2'
408
- 3: '3'
409
- 4: '4'
410
  splits:
411
  - name: train
412
  num_bytes: 74781766
 
1
  ---
 
2
  annotations_creators:
3
  - found
4
  language_creators:
 
21
  - multi-label-classification
22
  - multiple-choice-qa
23
  - topic-classification
24
+ pretty_name: LexGLUE
25
  configs:
26
  - case_hold
27
  - ecthr_a
 
39
  sequence:
40
  class_label:
41
  names:
42
+ '0': '2'
43
+ '1': '3'
44
+ '2': '5'
45
+ '3': '6'
46
+ '4': '8'
47
+ '5': '9'
48
+ '6': '10'
49
+ '7': '11'
50
+ '8': '14'
51
+ '9': P1-1
52
  splits:
53
  - name: train
54
  num_bytes: 89637461
 
69
  sequence:
70
  class_label:
71
  names:
72
+ '0': '2'
73
+ '1': '3'
74
+ '2': '5'
75
+ '3': '6'
76
+ '4': '8'
77
+ '5': '9'
78
+ '6': '10'
79
+ '7': '11'
80
+ '8': '14'
81
+ '9': P1-1
82
  splits:
83
  - name: train
84
  num_bytes: 89657661
 
99
  sequence:
100
  class_label:
101
  names:
102
+ '0': '100163'
103
+ '1': '100168'
104
+ '2': '100169'
105
+ '3': '100170'
106
+ '4': '100171'
107
+ '5': '100172'
108
+ '6': '100173'
109
+ '7': '100174'
110
+ '8': '100175'
111
+ '9': '100176'
112
+ '10': '100177'
113
+ '11': '100179'
114
+ '12': '100180'
115
+ '13': '100183'
116
+ '14': '100184'
117
+ '15': '100185'
118
+ '16': '100186'
119
+ '17': '100187'
120
+ '18': '100189'
121
+ '19': '100190'
122
+ '20': '100191'
123
+ '21': '100192'
124
+ '22': '100193'
125
+ '23': '100194'
126
+ '24': '100195'
127
+ '25': '100196'
128
+ '26': '100197'
129
+ '27': '100198'
130
+ '28': '100199'
131
+ '29': '100200'
132
+ '30': '100201'
133
+ '31': '100202'
134
+ '32': '100204'
135
+ '33': '100205'
136
+ '34': '100206'
137
+ '35': '100207'
138
+ '36': '100212'
139
+ '37': '100214'
140
+ '38': '100215'
141
+ '39': '100220'
142
+ '40': '100221'
143
+ '41': '100222'
144
+ '42': '100223'
145
+ '43': '100224'
146
+ '44': '100226'
147
+ '45': '100227'
148
+ '46': '100229'
149
+ '47': '100230'
150
+ '48': '100231'
151
+ '49': '100232'
152
+ '50': '100233'
153
+ '51': '100234'
154
+ '52': '100235'
155
+ '53': '100237'
156
+ '54': '100238'
157
+ '55': '100239'
158
+ '56': '100240'
159
+ '57': '100241'
160
+ '58': '100242'
161
+ '59': '100243'
162
+ '60': '100244'
163
+ '61': '100245'
164
+ '62': '100246'
165
+ '63': '100247'
166
+ '64': '100248'
167
+ '65': '100249'
168
+ '66': '100250'
169
+ '67': '100252'
170
+ '68': '100253'
171
+ '69': '100254'
172
+ '70': '100255'
173
+ '71': '100256'
174
+ '72': '100257'
175
+ '73': '100258'
176
+ '74': '100259'
177
+ '75': '100260'
178
+ '76': '100261'
179
+ '77': '100262'
180
+ '78': '100263'
181
+ '79': '100264'
182
+ '80': '100265'
183
+ '81': '100266'
184
+ '82': '100268'
185
+ '83': '100269'
186
+ '84': '100270'
187
+ '85': '100271'
188
+ '86': '100272'
189
+ '87': '100273'
190
+ '88': '100274'
191
+ '89': '100275'
192
+ '90': '100276'
193
+ '91': '100277'
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+ '92': '100278'
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+ '93': '100279'
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+ '94': '100280'
197
+ '95': '100281'
198
+ '96': '100282'
199
+ '97': '100283'
200
+ '98': '100284'
201
+ '99': '100285'
202
  splits:
203
  - name: train
204
  num_bytes: 390770289
 
219
  dtype:
220
  class_label:
221
  names:
222
+ '0': '1'
223
+ '1': '2'
224
+ '2': '3'
225
+ '3': '4'
226
+ '4': '5'
227
+ '5': '6'
228
+ '6': '7'
229
+ '7': '8'
230
+ '8': '9'
231
+ '9': '10'
232
+ '10': '11'
233
+ '11': '12'
234
+ '12': '13'
235
  splits:
236
  - name: train
237
  num_bytes: 178959320
 
252
  dtype:
253
  class_label:
254
  names:
255
+ '0': Adjustments
256
+ '1': Agreements
257
+ '2': Amendments
258
+ '3': Anti-Corruption Laws
259
+ '4': Applicable Laws
260
+ '5': Approvals
261
+ '6': Arbitration
262
+ '7': Assignments
263
+ '8': Assigns
264
+ '9': Authority
265
+ '10': Authorizations
266
+ '11': Base Salary
267
+ '12': Benefits
268
+ '13': Binding Effects
269
+ '14': Books
270
+ '15': Brokers
271
+ '16': Capitalization
272
+ '17': Change In Control
273
+ '18': Closings
274
+ '19': Compliance With Laws
275
+ '20': Confidentiality
276
+ '21': Consent To Jurisdiction
277
+ '22': Consents
278
+ '23': Construction
279
+ '24': Cooperation
280
+ '25': Costs
281
+ '26': Counterparts
282
+ '27': Death
283
+ '28': Defined Terms
284
+ '29': Definitions
285
+ '30': Disability
286
+ '31': Disclosures
287
+ '32': Duties
288
+ '33': Effective Dates
289
+ '34': Effectiveness
290
+ '35': Employment
291
+ '36': Enforceability
292
+ '37': Enforcements
293
+ '38': Entire Agreements
294
+ '39': Erisa
295
+ '40': Existence
296
+ '41': Expenses
297
+ '42': Fees
298
+ '43': Financial Statements
299
+ '44': Forfeitures
300
+ '45': Further Assurances
301
+ '46': General
302
+ '47': Governing Laws
303
+ '48': Headings
304
+ '49': Indemnifications
305
+ '50': Indemnity
306
+ '51': Insurances
307
+ '52': Integration
308
+ '53': Intellectual Property
309
+ '54': Interests
310
+ '55': Interpretations
311
+ '56': Jurisdictions
312
+ '57': Liens
313
+ '58': Litigations
314
+ '59': Miscellaneous
315
+ '60': Modifications
316
+ '61': No Conflicts
317
+ '62': No Defaults
318
+ '63': No Waivers
319
+ '64': Non-Disparagement
320
+ '65': Notices
321
+ '66': Organizations
322
+ '67': Participations
323
+ '68': Payments
324
+ '69': Positions
325
+ '70': Powers
326
+ '71': Publicity
327
+ '72': Qualifications
328
+ '73': Records
329
+ '74': Releases
330
+ '75': Remedies
331
+ '76': Representations
332
+ '77': Sales
333
+ '78': Sanctions
334
+ '79': Severability
335
+ '80': Solvency
336
+ '81': Specific Performance
337
+ '82': Submission To Jurisdiction
338
+ '83': Subsidiaries
339
+ '84': Successors
340
+ '85': Survival
341
+ '86': Tax Withholdings
342
+ '87': Taxes
343
+ '88': Terminations
344
+ '89': Terms
345
+ '90': Titles
346
+ '91': Transactions With Affiliates
347
+ '92': Use Of Proceeds
348
+ '93': Vacations
349
+ '94': Venues
350
+ '95': Vesting
351
+ '96': Waiver Of Jury Trials
352
+ '97': Waivers
353
+ '98': Warranties
354
+ '99': Withholdings
355
  splits:
356
  - name: train
357
  num_bytes: 43358315
 
372
  sequence:
373
  class_label:
374
  names:
375
+ '0': Limitation of liability
376
+ '1': Unilateral termination
377
+ '2': Unilateral change
378
+ '3': Content removal
379
+ '4': Contract by using
380
+ '5': Choice of law
381
+ '6': Jurisdiction
382
+ '7': Arbitration
383
  splits:
384
  - name: train
385
  num_bytes: 1041790
 
402
  dtype:
403
  class_label:
404
  names:
405
+ '0': '0'
406
+ '1': '1'
407
+ '2': '2'
408
+ '3': '3'
409
+ '4': '4'
410
  splits:
411
  - name: train
412
  num_bytes: 74781766