Datasets:
Formats:
parquet
Size:
100K - 1M
Tags:
discourse-mode-classification
paraphrase-identification
cross-lingual-similarity
headline-classification
License:
add dataset_info in dataset metadata
Browse files
README.md
CHANGED
@@ -42,6 +42,1450 @@ tags:
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42 |
- paraphrase-identification
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43 |
- cross-lingual-similarity
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44 |
- headline-classification
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|
45 |
---
|
46 |
|
47 |
# Dataset Card for "indic_glue"
|
|
|
42 |
- paraphrase-identification
|
43 |
- cross-lingual-similarity
|
44 |
- headline-classification
|
45 |
+
dataset_info:
|
46 |
+
- config_name: wnli.en
|
47 |
+
features:
|
48 |
+
- name: hypothesis
|
49 |
+
dtype: string
|
50 |
+
- name: premise
|
51 |
+
dtype: string
|
52 |
+
- name: label
|
53 |
+
dtype:
|
54 |
+
class_label:
|
55 |
+
names:
|
56 |
+
0: not_entailment
|
57 |
+
1: entailment
|
58 |
+
2: None
|
59 |
+
splits:
|
60 |
+
- name: test
|
61 |
+
num_bytes: 37305
|
62 |
+
num_examples: 146
|
63 |
+
- name: train
|
64 |
+
num_bytes: 104577
|
65 |
+
num_examples: 635
|
66 |
+
- name: validation
|
67 |
+
num_bytes: 11886
|
68 |
+
num_examples: 71
|
69 |
+
download_size: 591249
|
70 |
+
dataset_size: 153768
|
71 |
+
- config_name: wnli.hi
|
72 |
+
features:
|
73 |
+
- name: hypothesis
|
74 |
+
dtype: string
|
75 |
+
- name: premise
|
76 |
+
dtype: string
|
77 |
+
- name: label
|
78 |
+
dtype:
|
79 |
+
class_label:
|
80 |
+
names:
|
81 |
+
0: not_entailment
|
82 |
+
1: entailment
|
83 |
+
2: None
|
84 |
+
splits:
|
85 |
+
- name: test
|
86 |
+
num_bytes: 90831
|
87 |
+
num_examples: 146
|
88 |
+
- name: train
|
89 |
+
num_bytes: 253342
|
90 |
+
num_examples: 635
|
91 |
+
- name: validation
|
92 |
+
num_bytes: 28684
|
93 |
+
num_examples: 71
|
94 |
+
download_size: 591249
|
95 |
+
dataset_size: 372857
|
96 |
+
- config_name: wnli.gu
|
97 |
+
features:
|
98 |
+
- name: hypothesis
|
99 |
+
dtype: string
|
100 |
+
- name: premise
|
101 |
+
dtype: string
|
102 |
+
- name: label
|
103 |
+
dtype:
|
104 |
+
class_label:
|
105 |
+
names:
|
106 |
+
0: not_entailment
|
107 |
+
1: entailment
|
108 |
+
2: None
|
109 |
+
splits:
|
110 |
+
- name: test
|
111 |
+
num_bytes: 94586
|
112 |
+
num_examples: 146
|
113 |
+
- name: train
|
114 |
+
num_bytes: 251562
|
115 |
+
num_examples: 635
|
116 |
+
- name: validation
|
117 |
+
num_bytes: 28183
|
118 |
+
num_examples: 71
|
119 |
+
download_size: 591249
|
120 |
+
dataset_size: 374331
|
121 |
+
- config_name: wnli.mr
|
122 |
+
features:
|
123 |
+
- name: hypothesis
|
124 |
+
dtype: string
|
125 |
+
- name: premise
|
126 |
+
dtype: string
|
127 |
+
- name: label
|
128 |
+
dtype:
|
129 |
+
class_label:
|
130 |
+
names:
|
131 |
+
0: not_entailment
|
132 |
+
1: entailment
|
133 |
+
2: None
|
134 |
+
splits:
|
135 |
+
- name: test
|
136 |
+
num_bytes: 97136
|
137 |
+
num_examples: 146
|
138 |
+
- name: train
|
139 |
+
num_bytes: 256657
|
140 |
+
num_examples: 635
|
141 |
+
- name: validation
|
142 |
+
num_bytes: 29226
|
143 |
+
num_examples: 71
|
144 |
+
download_size: 591249
|
145 |
+
dataset_size: 383019
|
146 |
+
- config_name: copa.en
|
147 |
+
features:
|
148 |
+
- name: premise
|
149 |
+
dtype: string
|
150 |
+
- name: choice1
|
151 |
+
dtype: string
|
152 |
+
- name: choice2
|
153 |
+
dtype: string
|
154 |
+
- name: question
|
155 |
+
dtype: string
|
156 |
+
- name: label
|
157 |
+
dtype: int32
|
158 |
+
splits:
|
159 |
+
- name: test
|
160 |
+
num_bytes: 55862
|
161 |
+
num_examples: 500
|
162 |
+
- name: train
|
163 |
+
num_bytes: 46049
|
164 |
+
num_examples: 400
|
165 |
+
- name: validation
|
166 |
+
num_bytes: 11695
|
167 |
+
num_examples: 100
|
168 |
+
download_size: 757679
|
169 |
+
dataset_size: 113606
|
170 |
+
- config_name: copa.hi
|
171 |
+
features:
|
172 |
+
- name: premise
|
173 |
+
dtype: string
|
174 |
+
- name: choice1
|
175 |
+
dtype: string
|
176 |
+
- name: choice2
|
177 |
+
dtype: string
|
178 |
+
- name: question
|
179 |
+
dtype: string
|
180 |
+
- name: label
|
181 |
+
dtype: int32
|
182 |
+
splits:
|
183 |
+
- name: test
|
184 |
+
num_bytes: 112846
|
185 |
+
num_examples: 449
|
186 |
+
- name: train
|
187 |
+
num_bytes: 93392
|
188 |
+
num_examples: 362
|
189 |
+
- name: validation
|
190 |
+
num_bytes: 23575
|
191 |
+
num_examples: 88
|
192 |
+
download_size: 757679
|
193 |
+
dataset_size: 229813
|
194 |
+
- config_name: copa.gu
|
195 |
+
features:
|
196 |
+
- name: premise
|
197 |
+
dtype: string
|
198 |
+
- name: choice1
|
199 |
+
dtype: string
|
200 |
+
- name: choice2
|
201 |
+
dtype: string
|
202 |
+
- name: question
|
203 |
+
dtype: string
|
204 |
+
- name: label
|
205 |
+
dtype: int32
|
206 |
+
splits:
|
207 |
+
- name: test
|
208 |
+
num_bytes: 110013
|
209 |
+
num_examples: 448
|
210 |
+
- name: train
|
211 |
+
num_bytes: 92113
|
212 |
+
num_examples: 362
|
213 |
+
- name: validation
|
214 |
+
num_bytes: 23466
|
215 |
+
num_examples: 88
|
216 |
+
download_size: 757679
|
217 |
+
dataset_size: 225592
|
218 |
+
- config_name: copa.mr
|
219 |
+
features:
|
220 |
+
- name: premise
|
221 |
+
dtype: string
|
222 |
+
- name: choice1
|
223 |
+
dtype: string
|
224 |
+
- name: choice2
|
225 |
+
dtype: string
|
226 |
+
- name: question
|
227 |
+
dtype: string
|
228 |
+
- name: label
|
229 |
+
dtype: int32
|
230 |
+
splits:
|
231 |
+
- name: test
|
232 |
+
num_bytes: 112071
|
233 |
+
num_examples: 449
|
234 |
+
- name: train
|
235 |
+
num_bytes: 93457
|
236 |
+
num_examples: 362
|
237 |
+
- name: validation
|
238 |
+
num_bytes: 23890
|
239 |
+
num_examples: 88
|
240 |
+
download_size: 757679
|
241 |
+
dataset_size: 229418
|
242 |
+
- config_name: sna.bn
|
243 |
+
features:
|
244 |
+
- name: text
|
245 |
+
dtype: string
|
246 |
+
- name: label
|
247 |
+
dtype:
|
248 |
+
class_label:
|
249 |
+
names:
|
250 |
+
0: kolkata
|
251 |
+
1: state
|
252 |
+
2: national
|
253 |
+
3: sports
|
254 |
+
4: entertainment
|
255 |
+
5: international
|
256 |
+
splits:
|
257 |
+
- name: test
|
258 |
+
num_bytes: 5799983
|
259 |
+
num_examples: 1411
|
260 |
+
- name: train
|
261 |
+
num_bytes: 46070054
|
262 |
+
num_examples: 11284
|
263 |
+
- name: validation
|
264 |
+
num_bytes: 5648130
|
265 |
+
num_examples: 1411
|
266 |
+
download_size: 11803096
|
267 |
+
dataset_size: 57518167
|
268 |
+
- config_name: csqa.as
|
269 |
+
features:
|
270 |
+
- name: question
|
271 |
+
dtype: string
|
272 |
+
- name: answer
|
273 |
+
dtype: string
|
274 |
+
- name: category
|
275 |
+
dtype: string
|
276 |
+
- name: title
|
277 |
+
dtype: string
|
278 |
+
- name: options
|
279 |
+
sequence: string
|
280 |
+
- name: out_of_context_options
|
281 |
+
sequence: string
|
282 |
+
splits:
|
283 |
+
- name: test
|
284 |
+
num_bytes: 3800555
|
285 |
+
num_examples: 2942
|
286 |
+
download_size: 65099316
|
287 |
+
dataset_size: 3800555
|
288 |
+
- config_name: csqa.bn
|
289 |
+
features:
|
290 |
+
- name: question
|
291 |
+
dtype: string
|
292 |
+
- name: answer
|
293 |
+
dtype: string
|
294 |
+
- name: category
|
295 |
+
dtype: string
|
296 |
+
- name: title
|
297 |
+
dtype: string
|
298 |
+
- name: options
|
299 |
+
sequence: string
|
300 |
+
- name: out_of_context_options
|
301 |
+
sequence: string
|
302 |
+
splits:
|
303 |
+
- name: test
|
304 |
+
num_bytes: 54671146
|
305 |
+
num_examples: 38845
|
306 |
+
download_size: 65099316
|
307 |
+
dataset_size: 54671146
|
308 |
+
- config_name: csqa.gu
|
309 |
+
features:
|
310 |
+
- name: question
|
311 |
+
dtype: string
|
312 |
+
- name: answer
|
313 |
+
dtype: string
|
314 |
+
- name: category
|
315 |
+
dtype: string
|
316 |
+
- name: title
|
317 |
+
dtype: string
|
318 |
+
- name: options
|
319 |
+
sequence: string
|
320 |
+
- name: out_of_context_options
|
321 |
+
sequence: string
|
322 |
+
splits:
|
323 |
+
- name: test
|
324 |
+
num_bytes: 29131703
|
325 |
+
num_examples: 22861
|
326 |
+
download_size: 65099316
|
327 |
+
dataset_size: 29131703
|
328 |
+
- config_name: csqa.hi
|
329 |
+
features:
|
330 |
+
- name: question
|
331 |
+
dtype: string
|
332 |
+
- name: answer
|
333 |
+
dtype: string
|
334 |
+
- name: category
|
335 |
+
dtype: string
|
336 |
+
- name: title
|
337 |
+
dtype: string
|
338 |
+
- name: options
|
339 |
+
sequence: string
|
340 |
+
- name: out_of_context_options
|
341 |
+
sequence: string
|
342 |
+
splits:
|
343 |
+
- name: test
|
344 |
+
num_bytes: 40409475
|
345 |
+
num_examples: 35140
|
346 |
+
download_size: 65099316
|
347 |
+
dataset_size: 40409475
|
348 |
+
- config_name: csqa.kn
|
349 |
+
features:
|
350 |
+
- name: question
|
351 |
+
dtype: string
|
352 |
+
- name: answer
|
353 |
+
dtype: string
|
354 |
+
- name: category
|
355 |
+
dtype: string
|
356 |
+
- name: title
|
357 |
+
dtype: string
|
358 |
+
- name: options
|
359 |
+
sequence: string
|
360 |
+
- name: out_of_context_options
|
361 |
+
sequence: string
|
362 |
+
splits:
|
363 |
+
- name: test
|
364 |
+
num_bytes: 21199880
|
365 |
+
num_examples: 13666
|
366 |
+
download_size: 65099316
|
367 |
+
dataset_size: 21199880
|
368 |
+
- config_name: csqa.ml
|
369 |
+
features:
|
370 |
+
- name: question
|
371 |
+
dtype: string
|
372 |
+
- name: answer
|
373 |
+
dtype: string
|
374 |
+
- name: category
|
375 |
+
dtype: string
|
376 |
+
- name: title
|
377 |
+
dtype: string
|
378 |
+
- name: options
|
379 |
+
sequence: string
|
380 |
+
- name: out_of_context_options
|
381 |
+
sequence: string
|
382 |
+
splits:
|
383 |
+
- name: test
|
384 |
+
num_bytes: 47220932
|
385 |
+
num_examples: 26537
|
386 |
+
download_size: 65099316
|
387 |
+
dataset_size: 47220932
|
388 |
+
- config_name: csqa.mr
|
389 |
+
features:
|
390 |
+
- name: question
|
391 |
+
dtype: string
|
392 |
+
- name: answer
|
393 |
+
dtype: string
|
394 |
+
- name: category
|
395 |
+
dtype: string
|
396 |
+
- name: title
|
397 |
+
dtype: string
|
398 |
+
- name: options
|
399 |
+
sequence: string
|
400 |
+
- name: out_of_context_options
|
401 |
+
sequence: string
|
402 |
+
splits:
|
403 |
+
- name: test
|
404 |
+
num_bytes: 13667238
|
405 |
+
num_examples: 11370
|
406 |
+
download_size: 65099316
|
407 |
+
dataset_size: 13667238
|
408 |
+
- config_name: csqa.or
|
409 |
+
features:
|
410 |
+
- name: question
|
411 |
+
dtype: string
|
412 |
+
- name: answer
|
413 |
+
dtype: string
|
414 |
+
- name: category
|
415 |
+
dtype: string
|
416 |
+
- name: title
|
417 |
+
dtype: string
|
418 |
+
- name: options
|
419 |
+
sequence: string
|
420 |
+
- name: out_of_context_options
|
421 |
+
sequence: string
|
422 |
+
splits:
|
423 |
+
- name: test
|
424 |
+
num_bytes: 2562397
|
425 |
+
num_examples: 1975
|
426 |
+
download_size: 65099316
|
427 |
+
dataset_size: 2562397
|
428 |
+
- config_name: csqa.pa
|
429 |
+
features:
|
430 |
+
- name: question
|
431 |
+
dtype: string
|
432 |
+
- name: answer
|
433 |
+
dtype: string
|
434 |
+
- name: category
|
435 |
+
dtype: string
|
436 |
+
- name: title
|
437 |
+
dtype: string
|
438 |
+
- name: options
|
439 |
+
sequence: string
|
440 |
+
- name: out_of_context_options
|
441 |
+
sequence: string
|
442 |
+
splits:
|
443 |
+
- name: test
|
444 |
+
num_bytes: 5806129
|
445 |
+
num_examples: 5667
|
446 |
+
download_size: 65099316
|
447 |
+
dataset_size: 5806129
|
448 |
+
- config_name: csqa.ta
|
449 |
+
features:
|
450 |
+
- name: question
|
451 |
+
dtype: string
|
452 |
+
- name: answer
|
453 |
+
dtype: string
|
454 |
+
- name: category
|
455 |
+
dtype: string
|
456 |
+
- name: title
|
457 |
+
dtype: string
|
458 |
+
- name: options
|
459 |
+
sequence: string
|
460 |
+
- name: out_of_context_options
|
461 |
+
sequence: string
|
462 |
+
splits:
|
463 |
+
- name: test
|
464 |
+
num_bytes: 61868609
|
465 |
+
num_examples: 38590
|
466 |
+
download_size: 65099316
|
467 |
+
dataset_size: 61868609
|
468 |
+
- config_name: csqa.te
|
469 |
+
features:
|
470 |
+
- name: question
|
471 |
+
dtype: string
|
472 |
+
- name: answer
|
473 |
+
dtype: string
|
474 |
+
- name: category
|
475 |
+
dtype: string
|
476 |
+
- name: title
|
477 |
+
dtype: string
|
478 |
+
- name: options
|
479 |
+
sequence: string
|
480 |
+
- name: out_of_context_options
|
481 |
+
sequence: string
|
482 |
+
splits:
|
483 |
+
- name: test
|
484 |
+
num_bytes: 58785157
|
485 |
+
num_examples: 41338
|
486 |
+
download_size: 65099316
|
487 |
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1420 |
+
num_examples: 179
|
1421 |
+
- name: train
|
1422 |
+
num_bytes: 520268
|
1423 |
+
num_examples: 1408
|
1424 |
+
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|
1425 |
+
num_bytes: 61194
|
1426 |
+
num_examples: 186
|
1427 |
+
download_size: 5980272
|
1428 |
+
dataset_size: 643274
|
1429 |
+
- config_name: wiki-ner.ta
|
1430 |
+
features:
|
1431 |
+
- name: tokens
|
1432 |
+
sequence: string
|
1433 |
+
- name: ner_tags
|
1434 |
+
sequence:
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1435 |
+
class_label:
|
1436 |
+
names:
|
1437 |
+
0: B-LOC
|
1438 |
+
1: B-ORG
|
1439 |
+
2: B-PER
|
1440 |
+
3: I-LOC
|
1441 |
+
4: I-ORG
|
1442 |
+
5: I-PER
|
1443 |
+
6: O
|
1444 |
+
- name: additional_info
|
1445 |
+
sequence:
|
1446 |
+
sequence: string
|
1447 |
+
splits:
|
1448 |
+
- name: test
|
1449 |
+
num_bytes: 1321650
|
1450 |
+
num_examples: 2611
|
1451 |
+
- name: train
|
1452 |
+
num_bytes: 10117152
|
1453 |
+
num_examples: 20466
|
1454 |
+
- name: validation
|
1455 |
+
num_bytes: 1267212
|
1456 |
+
num_examples: 2586
|
1457 |
+
download_size: 5980272
|
1458 |
+
dataset_size: 12706014
|
1459 |
+
- config_name: wiki-ner.te
|
1460 |
+
features:
|
1461 |
+
- name: tokens
|
1462 |
+
sequence: string
|
1463 |
+
- name: ner_tags
|
1464 |
+
sequence:
|
1465 |
+
class_label:
|
1466 |
+
names:
|
1467 |
+
0: B-LOC
|
1468 |
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1: B-ORG
|
1469 |
+
2: B-PER
|
1470 |
+
3: I-LOC
|
1471 |
+
4: I-ORG
|
1472 |
+
5: I-PER
|
1473 |
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6: O
|
1474 |
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- name: additional_info
|
1475 |
+
sequence:
|
1476 |
+
sequence: string
|
1477 |
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splits:
|
1478 |
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- name: test
|
1479 |
+
num_bytes: 507830
|
1480 |
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num_examples: 1110
|
1481 |
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- name: train
|
1482 |
+
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|
1483 |
+
num_examples: 7978
|
1484 |
+
- name: validation
|
1485 |
+
num_bytes: 458533
|
1486 |
+
num_examples: 841
|
1487 |
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download_size: 5980272
|
1488 |
+
dataset_size: 4847598
|
1489 |
---
|
1490 |
|
1491 |
# Dataset Card for "indic_glue"
|