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Update files from the datasets library (from 1.2.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

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  1. .gitattributes +27 -0
  2. README.md +534 -0
  3. dataset_infos.json +0 -0
  4. dummy/ace/1.1.0/dummy_data.zip +3 -0
  5. dummy/af/1.1.0/dummy_data.zip +3 -0
  6. dummy/als/1.1.0/dummy_data.zip +3 -0
  7. dummy/am/1.1.0/dummy_data.zip +3 -0
  8. dummy/an/1.1.0/dummy_data.zip +3 -0
  9. dummy/ang/1.1.0/dummy_data.zip +3 -0
  10. dummy/ar/1.1.0/dummy_data.zip +3 -0
  11. dummy/arc/1.1.0/dummy_data.zip +3 -0
  12. dummy/arz/1.1.0/dummy_data.zip +3 -0
  13. dummy/as/1.1.0/dummy_data.zip +3 -0
  14. dummy/ast/1.1.0/dummy_data.zip +3 -0
  15. dummy/ay/1.1.0/dummy_data.zip +3 -0
  16. dummy/az/1.1.0/dummy_data.zip +3 -0
  17. dummy/ba/1.1.0/dummy_data.zip +3 -0
  18. dummy/bar/1.1.0/dummy_data.zip +3 -0
  19. dummy/bat-smg/1.1.0/dummy_data.zip +3 -0
  20. dummy/be-x-old/1.1.0/dummy_data.zip +3 -0
  21. dummy/be/1.1.0/dummy_data.zip +3 -0
  22. dummy/bg/1.1.0/dummy_data.zip +3 -0
  23. dummy/bh/1.1.0/dummy_data.zip +3 -0
  24. dummy/bn/1.1.0/dummy_data.zip +3 -0
  25. dummy/bo/1.1.0/dummy_data.zip +3 -0
  26. dummy/br/1.1.0/dummy_data.zip +3 -0
  27. dummy/bs/1.1.0/dummy_data.zip +3 -0
  28. dummy/ca/1.1.0/dummy_data.zip +3 -0
  29. dummy/cbk-zam/1.1.0/dummy_data.zip +3 -0
  30. dummy/cdo/1.1.0/dummy_data.zip +3 -0
  31. dummy/ce/1.1.0/dummy_data.zip +3 -0
  32. dummy/ceb/1.1.0/dummy_data.zip +3 -0
  33. dummy/ckb/1.1.0/dummy_data.zip +3 -0
  34. dummy/co/1.1.0/dummy_data.zip +3 -0
  35. dummy/crh/1.1.0/dummy_data.zip +3 -0
  36. dummy/cs/1.1.0/dummy_data.zip +3 -0
  37. dummy/csb/1.1.0/dummy_data.zip +3 -0
  38. dummy/cv/1.1.0/dummy_data.zip +3 -0
  39. dummy/cy/1.1.0/dummy_data.zip +3 -0
  40. dummy/da/1.1.0/dummy_data.zip +3 -0
  41. dummy/de/1.1.0/dummy_data.zip +3 -0
  42. dummy/diq/1.1.0/dummy_data.zip +3 -0
  43. dummy/dv/1.1.0/dummy_data.zip +3 -0
  44. dummy/el/1.1.0/dummy_data.zip +3 -0
  45. dummy/eml/1.1.0/dummy_data.zip +3 -0
  46. dummy/en/1.1.0/dummy_data.zip +3 -0
  47. dummy/eo/1.1.0/dummy_data.zip +3 -0
  48. dummy/es/1.1.0/dummy_data.zip +3 -0
  49. dummy/et/1.1.0/dummy_data.zip +3 -0
  50. dummy/eu/1.1.0/dummy_data.zip +3 -0
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README.md ADDED
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1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ language_creators:
5
+ - crowdsourced
6
+ languages:
7
+ ace:
8
+ - ace
9
+ af:
10
+ - af
11
+ als:
12
+ - als
13
+ am:
14
+ - am
15
+ an:
16
+ - an
17
+ ang:
18
+ - ang
19
+ ar:
20
+ - ar
21
+ arc:
22
+ - arc
23
+ arz:
24
+ - arz
25
+ as:
26
+ - as
27
+ ast:
28
+ - ast
29
+ ay:
30
+ - ay
31
+ az:
32
+ - az
33
+ ba:
34
+ - ba
35
+ bar:
36
+ - bar
37
+ be:
38
+ - be
39
+ bg:
40
+ - bg
41
+ bh:
42
+ - bh
43
+ bn:
44
+ - bn
45
+ bo:
46
+ - bo
47
+ br:
48
+ - br
49
+ bs:
50
+ - bs
51
+ ca:
52
+ - ca
53
+ cdo:
54
+ - cdo
55
+ ce:
56
+ - ce
57
+ ceb:
58
+ - ceb
59
+ ckb:
60
+ - ckb
61
+ co:
62
+ - co
63
+ crh:
64
+ - crh
65
+ cs:
66
+ - cs
67
+ csb:
68
+ - csb
69
+ cv:
70
+ - cv
71
+ cy:
72
+ - cy
73
+ da:
74
+ - da
75
+ de:
76
+ - de
77
+ diq:
78
+ - diq
79
+ dv:
80
+ - dv
81
+ el:
82
+ - el
83
+ en:
84
+ - en
85
+ eo:
86
+ - eo
87
+ es:
88
+ - es
89
+ et:
90
+ - et
91
+ eu:
92
+ - eu
93
+ ext:
94
+ - ext
95
+ fa:
96
+ - fa
97
+ fi:
98
+ - fi
99
+ fo:
100
+ - fo
101
+ fr:
102
+ - fr
103
+ frr:
104
+ - frr
105
+ fur:
106
+ - fur
107
+ fy:
108
+ - fy
109
+ ga:
110
+ - ga
111
+ gan:
112
+ - gan
113
+ gd:
114
+ - gd
115
+ gl:
116
+ - gl
117
+ gn:
118
+ - gn
119
+ gu:
120
+ - gu
121
+ hak:
122
+ - hak
123
+ he:
124
+ - he
125
+ hi:
126
+ - hi
127
+ hr:
128
+ - hr
129
+ hsb:
130
+ - hsb
131
+ hu:
132
+ - hu
133
+ hy:
134
+ - hy
135
+ ia:
136
+ - ia
137
+ id:
138
+ - id
139
+ ig:
140
+ - ig
141
+ ilo:
142
+ - ilo
143
+ io:
144
+ - io
145
+ is:
146
+ - is
147
+ it:
148
+ - it
149
+ ja:
150
+ - ja
151
+ jbo:
152
+ - jbo
153
+ jv:
154
+ - jv
155
+ ka:
156
+ - ka
157
+ kk:
158
+ - kk
159
+ km:
160
+ - km
161
+ kn:
162
+ - kn
163
+ ko:
164
+ - ko
165
+ ksh:
166
+ - ksh
167
+ ku:
168
+ - ku
169
+ ky:
170
+ - ky
171
+ la:
172
+ - la
173
+ lb:
174
+ - lb
175
+ li:
176
+ - li
177
+ lij:
178
+ - lij
179
+ lmo:
180
+ - lmo
181
+ ln:
182
+ - ln
183
+ lt:
184
+ - lt
185
+ lv:
186
+ - lv
187
+ mg:
188
+ - mg
189
+ mhr:
190
+ - mhr
191
+ mi:
192
+ - mi
193
+ min:
194
+ - min
195
+ mk:
196
+ - mk
197
+ ml:
198
+ - ml
199
+ mn:
200
+ - mn
201
+ mr:
202
+ - mr
203
+ ms:
204
+ - ms
205
+ mt:
206
+ - mt
207
+ mwl:
208
+ - mwl
209
+ my:
210
+ - my
211
+ mzn:
212
+ - mzn
213
+ nap:
214
+ - nap
215
+ nds:
216
+ - nds
217
+ ne:
218
+ - ne
219
+ nl:
220
+ - nl
221
+ nn:
222
+ - nn
223
+ 'no':
224
+ - 'no'
225
+ nov:
226
+ - nov
227
+ oc:
228
+ - oc
229
+ or:
230
+ - or
231
+ os:
232
+ - os
233
+ other-bat-smg:
234
+ - other-bat-smg
235
+ other-be-x-old:
236
+ - other-be-x-old
237
+ other-cbk-zam:
238
+ - other-cbk-zam
239
+ other-eml:
240
+ - other-eml
241
+ other-fiu-vro:
242
+ - other-fiu-vro
243
+ other-map-bms:
244
+ - other-map-bms
245
+ other-simple:
246
+ - other-simple
247
+ other-zh-classical:
248
+ - other-zh-classical
249
+ other-zh-min-nan:
250
+ - other-zh-min-nan
251
+ other-zh-yue:
252
+ - other-zh-yue
253
+ pa:
254
+ - pa
255
+ pdc:
256
+ - pdc
257
+ pl:
258
+ - pl
259
+ pms:
260
+ - pms
261
+ pnb:
262
+ - pnb
263
+ ps:
264
+ - ps
265
+ pt:
266
+ - pt
267
+ qu:
268
+ - qu
269
+ rm:
270
+ - rm
271
+ ro:
272
+ - ro
273
+ ru:
274
+ - ru
275
+ rw:
276
+ - rw
277
+ sa:
278
+ - sa
279
+ sah:
280
+ - sah
281
+ scn:
282
+ - scn
283
+ sco:
284
+ - sco
285
+ sd:
286
+ - sd
287
+ sh:
288
+ - sh
289
+ si:
290
+ - si
291
+ sk:
292
+ - sk
293
+ sl:
294
+ - sl
295
+ so:
296
+ - so
297
+ sq:
298
+ - sq
299
+ sr:
300
+ - sr
301
+ su:
302
+ - su
303
+ sv:
304
+ - sv
305
+ sw:
306
+ - sw
307
+ szl:
308
+ - szl
309
+ ta:
310
+ - ta
311
+ te:
312
+ - te
313
+ tg:
314
+ - tg
315
+ th:
316
+ - th
317
+ tk:
318
+ - tk
319
+ tl:
320
+ - tl
321
+ tr:
322
+ - tr
323
+ tt:
324
+ - tt
325
+ ug:
326
+ - ug
327
+ uk:
328
+ - uk
329
+ ur:
330
+ - ur
331
+ uz:
332
+ - uz
333
+ vec:
334
+ - vec
335
+ vep:
336
+ - vep
337
+ vi:
338
+ - vi
339
+ vls:
340
+ - vls
341
+ vo:
342
+ - vo
343
+ wa:
344
+ - wa
345
+ war:
346
+ - war
347
+ wuu:
348
+ - wuu
349
+ xmf:
350
+ - xmf
351
+ yi:
352
+ - yi
353
+ yo:
354
+ - yo
355
+ zea:
356
+ - zea
357
+ zh:
358
+ - zh
359
+ licenses:
360
+ - unknown
361
+ multilinguality:
362
+ - multilingual
363
+ size_categories:
364
+ - n<1K
365
+ source_datasets:
366
+ - original
367
+ task_categories:
368
+ - structure-prediction
369
+ task_ids:
370
+ - named-entity-recognition
371
+ ---
372
+
373
+ # Dataset Card for WikiANN
374
+
375
+ ## Table of Contents
376
+ - [Dataset Card for WikiANN](#dataset-card-for-wikiann)
377
+ - [Table of Contents](#table-of-contents)
378
+ - [Dataset Description](#dataset-description)
379
+ - [Dataset Summary](#dataset-summary)
380
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
381
+ - [Languages](#languages)
382
+ - [Dataset Structure](#dataset-structure)
383
+ - [Data Instances](#data-instances)
384
+ - [Data Fields](#data-fields)
385
+ - [Data Splits](#data-splits)
386
+ - [Dataset Creation](#dataset-creation)
387
+ - [Curation Rationale](#curation-rationale)
388
+ - [Source Data](#source-data)
389
+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
390
+ - [Who are the source language producers?](#who-are-the-source-language-producers)
391
+ - [Annotations](#annotations)
392
+ - [Annotation process](#annotation-process)
393
+ - [Who are the annotators?](#who-are-the-annotators)
394
+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
395
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
396
+ - [Social Impact of Dataset](#social-impact-of-dataset)
397
+ - [Discussion of Biases](#discussion-of-biases)
398
+ - [Other Known Limitations](#other-known-limitations)
399
+ - [Additional Information](#additional-information)
400
+ - [Dataset Curators](#dataset-curators)
401
+ - [Licensing Information](#licensing-information)
402
+ - [Citation Information](#citation-information)
403
+
404
+ ## Dataset Description
405
+
406
+ - **Homepage:** [Massively Multilingual Transfer for NER](https://github.com/afshinrahimi/mmner)
407
+ - **Repository:** [Massively Multilingual Transfer for NER](https://github.com/afshinrahimi/mmner)
408
+ - **Paper:** The original datasets come from the _Cross-lingual name tagging and linking for 282 languages_ [paper](https://www.aclweb.org/anthology/P17-1178/) by Xiaoman Pan et al. (2018). This version corresponds to the balanced train, dev, and test splits of the original data from the _Massively Multilingual Transfer for NER_ [paper](https://arxiv.org/abs/1902.00193) by Afshin Rahimi et al. (2019).
409
+ - **Leaderboard:**
410
+ - **Point of Contact:** [Afshin Rahimi](mailto:afshinrahimi@gmail.com) or [Lewis Tunstall](mailto:lewis.c.tunstall@gmail.com)
411
+
412
+ ### Dataset Summary
413
+
414
+ WikiANN (sometimes called PAN-X) is a multilingual named entity recognition dataset consisting of Wikipedia articles annotated with LOC (location), PER (person), and ORG (organisation) tags in the IOB2 format. This version corresponds to the balanced train, dev, and test splits of Rahimi et al. (2019), which supports 176 of the 282 languages from the original WikiANN corpus.
415
+
416
+ ### Supported Tasks and Leaderboards
417
+
418
+ - `named-entity-recognition`: The dataset can be used to train a model for named entity recognition in many languages, or evaluate the zero-shot cross-lingual capabilities of multilingual models.
419
+
420
+ ### Languages
421
+
422
+ [More Information Needed]
423
+
424
+ ## Dataset Structure
425
+
426
+ ### Data Instances
427
+
428
+ [More Information Needed]
429
+
430
+ ### Data Fields
431
+
432
+ [More Information Needed]
433
+
434
+ ### Data Splits
435
+
436
+ [More Information Needed]
437
+
438
+ ## Dataset Creation
439
+
440
+ ### Curation Rationale
441
+
442
+ [More Information Needed]
443
+
444
+ ### Source Data
445
+
446
+ #### Initial Data Collection and Normalization
447
+
448
+ [More Information Needed]
449
+
450
+ #### Who are the source language producers?
451
+
452
+ [More Information Needed]
453
+
454
+ ### Annotations
455
+
456
+ #### Annotation process
457
+
458
+ [More Information Needed]
459
+
460
+ #### Who are the annotators?
461
+
462
+ [More Information Needed]
463
+
464
+ ### Personal and Sensitive Information
465
+
466
+ [More Information Needed]
467
+
468
+ ## Considerations for Using the Data
469
+
470
+ ### Social Impact of Dataset
471
+
472
+ [More Information Needed]
473
+
474
+ ### Discussion of Biases
475
+
476
+ [More Information Needed]
477
+
478
+ ### Other Known Limitations
479
+
480
+ [More Information Needed]
481
+
482
+ ## Additional Information
483
+
484
+ ### Dataset Curators
485
+
486
+ [More Information Needed]
487
+
488
+ ### Licensing Information
489
+
490
+ [More Information Needed]
491
+
492
+ ### Citation Information
493
+
494
+ The original 282 datasets are associated with this article
495
+
496
+ ```
497
+ @inproceedings{pan-etal-2017-cross,
498
+ title = "Cross-lingual Name Tagging and Linking for 282 Languages",
499
+ author = "Pan, Xiaoman and
500
+ Zhang, Boliang and
501
+ May, Jonathan and
502
+ Nothman, Joel and
503
+ Knight, Kevin and
504
+ Ji, Heng",
505
+ booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
506
+ month = jul,
507
+ year = "2017",
508
+ address = "Vancouver, Canada",
509
+ publisher = "Association for Computational Linguistics",
510
+ url = "https://www.aclweb.org/anthology/P17-1178",
511
+ doi = "10.18653/v1/P17-1178",
512
+ pages = "1946--1958",
513
+ abstract = "The ambitious goal of this work is to develop a cross-lingual name tagging and linking framework for 282 languages that exist in Wikipedia. Given a document in any of these languages, our framework is able to identify name mentions, assign a coarse-grained or fine-grained type to each mention, and link it to an English Knowledge Base (KB) if it is linkable. We achieve this goal by performing a series of new KB mining methods: generating {``}silver-standard{''} annotations by transferring annotations from English to other languages through cross-lingual links and KB properties, refining annotations through self-training and topic selection, deriving language-specific morphology features from anchor links, and mining word translation pairs from cross-lingual links. Both name tagging and linking results for 282 languages are promising on Wikipedia data and on-Wikipedia data.",
514
+ }
515
+ ```
516
+
517
+ while the 176 languages supported in this version are associated with the following article
518
+
519
+ ```
520
+ @inproceedings{rahimi-etal-2019-massively,
521
+ title = "Massively Multilingual Transfer for {NER}",
522
+ author = "Rahimi, Afshin and
523
+ Li, Yuan and
524
+ Cohn, Trevor",
525
+ booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
526
+ month = jul,
527
+ year = "2019",
528
+ address = "Florence, Italy",
529
+ publisher = "Association for Computational Linguistics",
530
+ url = "https://www.aclweb.org/anthology/P19-1015",
531
+ pages = "151--164",
532
+ }
533
+ ```
534
+
dataset_infos.json ADDED
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