Replace YAML keys from int to str

#2
by albertvillanova HF staff - opened
Files changed (1) hide show
  1. README.md +241 -241
README.md CHANGED
@@ -236,12 +236,6 @@ language:
236
  - yo
237
  - zea
238
  - zh
239
- language_bcp47:
240
- - be-tarask
241
- - map-bms
242
- - nds-nl
243
- - roa-tara
244
- - zh-yue
245
  license:
246
  - odbl
247
  multilinguality:
@@ -255,6 +249,12 @@ task_categories:
255
  task_ids: []
256
  paperswithcode_id: wili-2018
257
  pretty_name: Wili2018
 
 
 
 
 
 
258
  tags:
259
  - language-identification
260
  dataset_info:
@@ -265,241 +265,241 @@ dataset_info:
265
  dtype:
266
  class_label:
267
  names:
268
- 0: cdo
269
- 1: glk
270
- 2: jam
271
- 3: lug
272
- 4: san
273
- 5: rue
274
- 6: wol
275
- 7: new
276
- 8: mwl
277
- 9: bre
278
- 10: ara
279
- 11: hye
280
- 12: xmf
281
- 13: ext
282
- 14: cor
283
- 15: yor
284
- 16: div
285
- 17: asm
286
- 18: lat
287
- 19: cym
288
- 20: hif
289
- 21: ace
290
- 22: kbd
291
- 23: tgk
292
- 24: rus
293
- 25: nso
294
- 26: mya
295
- 27: msa
296
- 28: ava
297
- 29: cbk
298
- 30: urd
299
- 31: deu
300
- 32: swa
301
- 33: pus
302
- 34: bxr
303
- 35: udm
304
- 36: csb
305
- 37: yid
306
- 38: vro
307
- 39: por
308
- 40: pdc
309
- 41: eng
310
- 42: tha
311
- 43: hat
312
- 44: lmo
313
- 45: pag
314
- 46: jav
315
- 47: chv
316
- 48: nan
317
- 49: sco
318
- 50: kat
319
- 51: bho
320
- 52: bos
321
- 53: kok
322
- 54: oss
323
- 55: mri
324
- 56: fry
325
- 57: cat
326
- 58: azb
327
- 59: kin
328
- 60: hin
329
- 61: sna
330
- 62: dan
331
- 63: egl
332
- 64: mkd
333
- 65: ron
334
- 66: bul
335
- 67: hrv
336
- 68: som
337
- 69: pam
338
- 70: nav
339
- 71: ksh
340
- 72: nci
341
- 73: khm
342
- 74: sgs
343
- 75: srn
344
- 76: bar
345
- 77: cos
346
- 78: ckb
347
- 79: pfl
348
- 80: arz
349
- 81: roa-tara
350
- 82: fra
351
- 83: mai
352
- 84: zh-yue
353
- 85: guj
354
- 86: fin
355
- 87: kir
356
- 88: vol
357
- 89: hau
358
- 90: afr
359
- 91: uig
360
- 92: lao
361
- 93: swe
362
- 94: slv
363
- 95: kor
364
- 96: szl
365
- 97: srp
366
- 98: dty
367
- 99: nrm
368
- 100: dsb
369
- 101: ind
370
- 102: wln
371
- 103: pnb
372
- 104: ukr
373
- 105: bpy
374
- 106: vie
375
- 107: tur
376
- 108: aym
377
- 109: lit
378
- 110: zea
379
- 111: pol
380
- 112: est
381
- 113: scn
382
- 114: vls
383
- 115: stq
384
- 116: gag
385
- 117: grn
386
- 118: kaz
387
- 119: ben
388
- 120: pcd
389
- 121: bjn
390
- 122: krc
391
- 123: amh
392
- 124: diq
393
- 125: ltz
394
- 126: ita
395
- 127: kab
396
- 128: bel
397
- 129: ang
398
- 130: mhr
399
- 131: che
400
- 132: koi
401
- 133: glv
402
- 134: ido
403
- 135: fao
404
- 136: bak
405
- 137: isl
406
- 138: bcl
407
- 139: tet
408
- 140: jpn
409
- 141: kur
410
- 142: map-bms
411
- 143: tyv
412
- 144: olo
413
- 145: arg
414
- 146: ori
415
- 147: lim
416
- 148: tel
417
- 149: lin
418
- 150: roh
419
- 151: sqi
420
- 152: xho
421
- 153: mlg
422
- 154: fas
423
- 155: hbs
424
- 156: tam
425
- 157: aze
426
- 158: lad
427
- 159: nob
428
- 160: sin
429
- 161: gla
430
- 162: nap
431
- 163: snd
432
- 164: ast
433
- 165: mal
434
- 166: mdf
435
- 167: tsn
436
- 168: nds
437
- 169: tgl
438
- 170: nno
439
- 171: sun
440
- 172: lzh
441
- 173: jbo
442
- 174: crh
443
- 175: pap
444
- 176: oci
445
- 177: hak
446
- 178: uzb
447
- 179: zho
448
- 180: hsb
449
- 181: sme
450
- 182: mlt
451
- 183: vep
452
- 184: lez
453
- 185: nld
454
- 186: nds-nl
455
- 187: mrj
456
- 188: spa
457
- 189: ceb
458
- 190: ina
459
- 191: heb
460
- 192: hun
461
- 193: que
462
- 194: kaa
463
- 195: mar
464
- 196: vec
465
- 197: frp
466
- 198: ell
467
- 199: sah
468
- 200: eus
469
- 201: ces
470
- 202: slk
471
- 203: chr
472
- 204: lij
473
- 205: nep
474
- 206: srd
475
- 207: ilo
476
- 208: be-tarask
477
- 209: bod
478
- 210: orm
479
- 211: war
480
- 212: glg
481
- 213: mon
482
- 214: gle
483
- 215: min
484
- 216: ibo
485
- 217: ile
486
- 218: epo
487
- 219: lav
488
- 220: lrc
489
- 221: als
490
- 222: mzn
491
- 223: rup
492
- 224: fur
493
- 225: tat
494
- 226: myv
495
- 227: pan
496
- 228: ton
497
- 229: kom
498
- 230: wuu
499
- 231: tcy
500
- 232: tuk
501
- 233: kan
502
- 234: ltg
503
  config_name: WiLI-2018 dataset
504
  splits:
505
  - name: train
 
236
  - yo
237
  - zea
238
  - zh
 
 
 
 
 
 
239
  license:
240
  - odbl
241
  multilinguality:
 
249
  task_ids: []
250
  paperswithcode_id: wili-2018
251
  pretty_name: Wili2018
252
+ language_bcp47:
253
+ - be-tarask
254
+ - map-bms
255
+ - nds-nl
256
+ - roa-tara
257
+ - zh-yue
258
  tags:
259
  - language-identification
260
  dataset_info:
 
265
  dtype:
266
  class_label:
267
  names:
268
+ '0': cdo
269
+ '1': glk
270
+ '2': jam
271
+ '3': lug
272
+ '4': san
273
+ '5': rue
274
+ '6': wol
275
+ '7': new
276
+ '8': mwl
277
+ '9': bre
278
+ '10': ara
279
+ '11': hye
280
+ '12': xmf
281
+ '13': ext
282
+ '14': cor
283
+ '15': yor
284
+ '16': div
285
+ '17': asm
286
+ '18': lat
287
+ '19': cym
288
+ '20': hif
289
+ '21': ace
290
+ '22': kbd
291
+ '23': tgk
292
+ '24': rus
293
+ '25': nso
294
+ '26': mya
295
+ '27': msa
296
+ '28': ava
297
+ '29': cbk
298
+ '30': urd
299
+ '31': deu
300
+ '32': swa
301
+ '33': pus
302
+ '34': bxr
303
+ '35': udm
304
+ '36': csb
305
+ '37': yid
306
+ '38': vro
307
+ '39': por
308
+ '40': pdc
309
+ '41': eng
310
+ '42': tha
311
+ '43': hat
312
+ '44': lmo
313
+ '45': pag
314
+ '46': jav
315
+ '47': chv
316
+ '48': nan
317
+ '49': sco
318
+ '50': kat
319
+ '51': bho
320
+ '52': bos
321
+ '53': kok
322
+ '54': oss
323
+ '55': mri
324
+ '56': fry
325
+ '57': cat
326
+ '58': azb
327
+ '59': kin
328
+ '60': hin
329
+ '61': sna
330
+ '62': dan
331
+ '63': egl
332
+ '64': mkd
333
+ '65': ron
334
+ '66': bul
335
+ '67': hrv
336
+ '68': som
337
+ '69': pam
338
+ '70': nav
339
+ '71': ksh
340
+ '72': nci
341
+ '73': khm
342
+ '74': sgs
343
+ '75': srn
344
+ '76': bar
345
+ '77': cos
346
+ '78': ckb
347
+ '79': pfl
348
+ '80': arz
349
+ '81': roa-tara
350
+ '82': fra
351
+ '83': mai
352
+ '84': zh-yue
353
+ '85': guj
354
+ '86': fin
355
+ '87': kir
356
+ '88': vol
357
+ '89': hau
358
+ '90': afr
359
+ '91': uig
360
+ '92': lao
361
+ '93': swe
362
+ '94': slv
363
+ '95': kor
364
+ '96': szl
365
+ '97': srp
366
+ '98': dty
367
+ '99': nrm
368
+ '100': dsb
369
+ '101': ind
370
+ '102': wln
371
+ '103': pnb
372
+ '104': ukr
373
+ '105': bpy
374
+ '106': vie
375
+ '107': tur
376
+ '108': aym
377
+ '109': lit
378
+ '110': zea
379
+ '111': pol
380
+ '112': est
381
+ '113': scn
382
+ '114': vls
383
+ '115': stq
384
+ '116': gag
385
+ '117': grn
386
+ '118': kaz
387
+ '119': ben
388
+ '120': pcd
389
+ '121': bjn
390
+ '122': krc
391
+ '123': amh
392
+ '124': diq
393
+ '125': ltz
394
+ '126': ita
395
+ '127': kab
396
+ '128': bel
397
+ '129': ang
398
+ '130': mhr
399
+ '131': che
400
+ '132': koi
401
+ '133': glv
402
+ '134': ido
403
+ '135': fao
404
+ '136': bak
405
+ '137': isl
406
+ '138': bcl
407
+ '139': tet
408
+ '140': jpn
409
+ '141': kur
410
+ '142': map-bms
411
+ '143': tyv
412
+ '144': olo
413
+ '145': arg
414
+ '146': ori
415
+ '147': lim
416
+ '148': tel
417
+ '149': lin
418
+ '150': roh
419
+ '151': sqi
420
+ '152': xho
421
+ '153': mlg
422
+ '154': fas
423
+ '155': hbs
424
+ '156': tam
425
+ '157': aze
426
+ '158': lad
427
+ '159': nob
428
+ '160': sin
429
+ '161': gla
430
+ '162': nap
431
+ '163': snd
432
+ '164': ast
433
+ '165': mal
434
+ '166': mdf
435
+ '167': tsn
436
+ '168': nds
437
+ '169': tgl
438
+ '170': nno
439
+ '171': sun
440
+ '172': lzh
441
+ '173': jbo
442
+ '174': crh
443
+ '175': pap
444
+ '176': oci
445
+ '177': hak
446
+ '178': uzb
447
+ '179': zho
448
+ '180': hsb
449
+ '181': sme
450
+ '182': mlt
451
+ '183': vep
452
+ '184': lez
453
+ '185': nld
454
+ '186': nds-nl
455
+ '187': mrj
456
+ '188': spa
457
+ '189': ceb
458
+ '190': ina
459
+ '191': heb
460
+ '192': hun
461
+ '193': que
462
+ '194': kaa
463
+ '195': mar
464
+ '196': vec
465
+ '197': frp
466
+ '198': ell
467
+ '199': sah
468
+ '200': eus
469
+ '201': ces
470
+ '202': slk
471
+ '203': chr
472
+ '204': lij
473
+ '205': nep
474
+ '206': srd
475
+ '207': ilo
476
+ '208': be-tarask
477
+ '209': bod
478
+ '210': orm
479
+ '211': war
480
+ '212': glg
481
+ '213': mon
482
+ '214': gle
483
+ '215': min
484
+ '216': ibo
485
+ '217': ile
486
+ '218': epo
487
+ '219': lav
488
+ '220': lrc
489
+ '221': als
490
+ '222': mzn
491
+ '223': rup
492
+ '224': fur
493
+ '225': tat
494
+ '226': myv
495
+ '227': pan
496
+ '228': ton
497
+ '229': kom
498
+ '230': wuu
499
+ '231': tcy
500
+ '232': tuk
501
+ '233': kan
502
+ '234': ltg
503
  config_name: WiLI-2018 dataset
504
  splits:
505
  - name: train