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Datasets:
adab-tech
/
WaxalNLP

Tasks:
Automatic Speech Recognition
Text-to-Speech
Modalities:
Audio
Text
Formats:
parquet
Languages:
Acoli
Akan
Amharic
Size:
1M - 10M
ArXiv:
Tags:
audio
automatic-speech-recognition
text-to-speech
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
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1
adab-tech perrynelson commited on
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Duplicate from google/WaxalNLP

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Co-authored-by: Perry Nelson <perrynelson@users.noreply.huggingface.co>

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1
+ ---
2
+ language_creators:
3
+ - creator_1
4
+ language:
5
+ - ach
6
+ - aka
7
+ - amh
8
+ # - bam
9
+ - bau
10
+ - dag
11
+ - dga
12
+ - ewe
13
+ - fat
14
+ # - fuf
15
+ - ful
16
+ - hau
17
+ - ibo
18
+ - kik
19
+ - kpo
20
+ - lin
21
+ - lug
22
+ - luo
23
+ - mas
24
+ - mlg
25
+ - nyn
26
+ - orm
27
+ - pcm
28
+ - sid
29
+ - sna
30
+ - sog
31
+ - swa
32
+ - tir
33
+ - twi
34
+ - wal
35
+ # - wol
36
+ - yor
37
+ license:
38
+ - cc-by-sa-4.0
39
+ - cc-by-4.0
40
+ multilinguality:
41
+ - multilingual
42
+ source_datasets:
43
+ - UGSpeechData
44
+ - DigitalUmuganda/AfriVoice
45
+ - original
46
+ task_categories:
47
+ - automatic-speech-recognition
48
+ - text-to-speech
49
+ pretty_name: Waxal NLP Datasets
50
+ arxiv: 2602.02734
51
+ annotation_creators:
52
+ - human-annotated
53
+ - crowdsourced
54
+ tags:
55
+ - audio
56
+ - automatic-speech-recognition
57
+ - text-to-speech
58
+ configs:
59
+ - config_name: ach_asr
60
+ data_files:
61
+ - split: train
62
+ path: data/ASR/ach/ach-train-*
63
+ - split: validation
64
+ path: data/ASR/ach/ach-validation-*
65
+ - split: test
66
+ path: data/ASR/ach/ach-test-*
67
+ - split: unlabeled
68
+ path: data/ASR/ach/ach-unlabeled-*
69
+ - config_name: ach_tts
70
+ data_files:
71
+ - split: train
72
+ path: data/TTS/ach/ach-train-*
73
+ - split: validation
74
+ path: data/TTS/ach/ach-validation-*
75
+ - split: test
76
+ path: data/TTS/ach/ach-test-*
77
+ - config_name: aka_asr
78
+ data_files:
79
+ - split: train
80
+ path: data/ASR/aka/aka-train-*
81
+ - split: validation
82
+ path: data/ASR/aka/aka-validation-*
83
+ - split: test
84
+ path: data/ASR/aka/aka-test-*
85
+ - split: unlabeled
86
+ path: data/ASR/aka/aka-unlabeled-*
87
+ - config_name: amh_asr
88
+ data_files:
89
+ - split: train
90
+ path: data/ASR/amh/amh-train-*
91
+ - split: validation
92
+ path: data/ASR/amh/amh-validation-*
93
+ - split: test
94
+ path: data/ASR/amh/amh-test-*
95
+ - split: unlabeled
96
+ path: data/ASR/amh/amh-unlabeled-*
97
+ # - config_name: bam_tts
98
+ # data_files:
99
+ # - split: train
100
+ # path: data/TTS/bam/bam-train-*
101
+ # - split: validation
102
+ # path: data/TTS/bam/bam-validation-*
103
+ # - split: test
104
+ # path: data/TTS/bam/bam-test-*
105
+ - config_name: bau_tts
106
+ data_files:
107
+ - split: train
108
+ path: data/TTS/bau/bau-train-*
109
+ - split: validation
110
+ path: data/TTS/bau/bau-validation-*
111
+ - split: test
112
+ path: data/TTS/bau/bau-test-*
113
+ - config_name: dag_asr
114
+ data_files:
115
+ - split: train
116
+ path: data/ASR/dag/dag-train-*
117
+ - split: validation
118
+ path: data/ASR/dag/dag-validation-*
119
+ - split: test
120
+ path: data/ASR/dag/dag-test-*
121
+ - split: unlabeled
122
+ path: data/ASR/dag/dag-unlabeled-*
123
+ - config_name: dga_asr
124
+ data_files:
125
+ - split: train
126
+ path: data/ASR/dga/dga-train-*
127
+ - split: validation
128
+ path: data/ASR/dga/dga-validation-*
129
+ - split: test
130
+ path: data/ASR/dga/dga-test-*
131
+ - split: unlabeled
132
+ path: data/ASR/dga/dga-unlabeled-*
133
+ - config_name: ewe_asr
134
+ data_files:
135
+ - split: train
136
+ path: data/ASR/ewe/ewe-train-*
137
+ - split: validation
138
+ path: data/ASR/ewe/ewe-validation-*
139
+ - split: test
140
+ path: data/ASR/ewe/ewe-test-*
141
+ - split: unlabeled
142
+ path: data/ASR/ewe/ewe-unlabeled-*
143
+ - config_name: ewe_tts
144
+ data_files:
145
+ - split: train
146
+ path: data/TTS/ewe/ewe-train-*
147
+ - split: validation
148
+ path: data/TTS/ewe/ewe-validation-*
149
+ - split: test
150
+ path: data/TTS/ewe/ewe-test-*
151
+ - config_name: fat_tts
152
+ data_files:
153
+ - split: train
154
+ path: data/TTS/fat/fat-train-*
155
+ - split: validation
156
+ path: data/TTS/fat/fat-validation-*
157
+ - split: test
158
+ path: data/TTS/fat/fat-test-*
159
+ - config_name: ful_asr
160
+ data_files:
161
+ - split: train
162
+ path: data/ASR/ful/ful-train-*
163
+ - split: validation
164
+ path: data/ASR/ful/ful-validation-*
165
+ - split: test
166
+ path: data/ASR/ful/ful-test-*
167
+ - split: unlabeled
168
+ path: data/ASR/ful/ful-unlabeled-*
169
+ # - config_name: fuf_tts
170
+ # data_files:
171
+ # - split: train
172
+ # path: data/TTS/fuf/fuf-train-*
173
+ # - split: validation
174
+ # path: data/TTS/fuf/fuf-validation-*
175
+ # - split: test
176
+ # path: data/TTS/fuf/fuf-test-*
177
+ - config_name: ful_tts
178
+ data_files:
179
+ - split: train
180
+ path: data/TTS/ful/ful-train-*
181
+ - split: validation
182
+ path: data/TTS/ful/ful-validation-*
183
+ - split: test
184
+ path: data/TTS/ful/ful-test-*
185
+ - config_name: hau_tts
186
+ data_files:
187
+ - split: train
188
+ path: data/TTS/hau/hau-train-*
189
+ - split: validation
190
+ path: data/TTS/hau/hau-validation-*
191
+ - split: test
192
+ path: data/TTS/hau/hau-test-*
193
+ - config_name: ibo_tts
194
+ data_files:
195
+ - split: train
196
+ path: data/TTS/ibo/ibo-train-*
197
+ - split: validation
198
+ path: data/TTS/ibo/ibo-validation-*
199
+ - split: test
200
+ path: data/TTS/ibo/ibo-test-*
201
+ - config_name: kik_tts
202
+ data_files:
203
+ - split: train
204
+ path: data/TTS/kik/kik-train-*
205
+ - split: validation
206
+ path: data/TTS/kik/kik-validation-*
207
+ - split: test
208
+ path: data/TTS/kik/kik-test-*
209
+ - config_name: kpo_asr
210
+ data_files:
211
+ - split: train
212
+ path: data/ASR/kpo/kpo-train-*
213
+ - split: validation
214
+ path: data/ASR/kpo/kpo-validation-*
215
+ - split: test
216
+ path: data/ASR/kpo/kpo-test-*
217
+ - split: unlabeled
218
+ path: data/ASR/kpo/kpo-unlabeled-*
219
+ - config_name: lin_asr
220
+ data_files:
221
+ - split: train
222
+ path: data/ASR/lin/lin-train-*
223
+ - split: validation
224
+ path: data/ASR/lin/lin-validation-*
225
+ - split: test
226
+ path: data/ASR/lin/lin-test-*
227
+ - split: unlabeled
228
+ path: data/ASR/lin/lin-unlabeled-*
229
+ - config_name: lug_asr
230
+ data_files:
231
+ - split: train
232
+ path: data/ASR/lug/lug-train-*
233
+ - split: validation
234
+ path: data/ASR/lug/lug-validation-*
235
+ - split: test
236
+ path: data/ASR/lug/lug-test-*
237
+ - split: unlabeled
238
+ path: data/ASR/lug/lug-unlabeled-*
239
+ - config_name: lug_tts
240
+ data_files:
241
+ - split: train
242
+ path: data/TTS/lug/lug-train-*
243
+ - split: validation
244
+ path: data/TTS/lug/lug-validation-*
245
+ - split: test
246
+ path: data/TTS/lug/lug-test-*
247
+ - config_name: luo_tts
248
+ data_files:
249
+ - split: train
250
+ path: data/TTS/luo/luo-train-*
251
+ - split: validation
252
+ path: data/TTS/luo/luo-validation-*
253
+ - split: test
254
+ path: data/TTS/luo/luo-test-*
255
+ - config_name: mas_asr
256
+ data_files:
257
+ - split: train
258
+ path: data/ASR/mas/mas-train-*
259
+ - split: validation
260
+ path: data/ASR/mas/mas-validation-*
261
+ - split: test
262
+ path: data/ASR/mas/mas-test-*
263
+ - split: unlabeled
264
+ path: data/ASR/mas/mas-unlabeled-*
265
+ - config_name: mlg_asr
266
+ data_files:
267
+ - split: train
268
+ path: data/ASR/mlg/mlg-train-*
269
+ - split: validation
270
+ path: data/ASR/mlg/mlg-validation-*
271
+ - split: test
272
+ path: data/ASR/mlg/mlg-test-*
273
+ - split: unlabeled
274
+ path: data/ASR/mlg/mlg-unlabeled-*
275
+ - config_name: nyn_asr
276
+ data_files:
277
+ - split: train
278
+ path: data/ASR/nyn/nyn-train-*
279
+ - split: validation
280
+ path: data/ASR/nyn/nyn-validation-*
281
+ - split: test
282
+ path: data/ASR/nyn/nyn-test-*
283
+ - split: unlabeled
284
+ path: data/ASR/nyn/nyn-unlabeled-*
285
+ - config_name: nyn_tts
286
+ data_files:
287
+ - split: train
288
+ path: data/TTS/nyn/nyn-train-*
289
+ - split: validation
290
+ path: data/TTS/nyn/nyn-validation-*
291
+ - split: test
292
+ path: data/TTS/nyn/nyn-test-*
293
+ - config_name: orm_asr
294
+ data_files:
295
+ - split: train
296
+ path: data/ASR/orm/orm-train-*
297
+ - split: validation
298
+ path: data/ASR/orm/orm-validation-*
299
+ - split: test
300
+ path: data/ASR/orm/orm-test-*
301
+ - split: unlabeled
302
+ path: data/ASR/orm/orm-unlabeled-*
303
+ - config_name: pcm_tts
304
+ data_files:
305
+ - split: train
306
+ path: data/TTS/pcm/pcm-train-*
307
+ - split: validation
308
+ path: data/TTS/pcm/pcm-validation-*
309
+ - split: test
310
+ path: data/TTS/pcm/pcm-test-*
311
+ - config_name: sid_asr
312
+ data_files:
313
+ - split: train
314
+ path: data/ASR/sid/sid-train-*
315
+ - split: validation
316
+ path: data/ASR/sid/sid-validation-*
317
+ - split: test
318
+ path: data/ASR/sid/sid-test-*
319
+ - split: unlabeled
320
+ path: data/ASR/sid/sid-unlabeled-*
321
+ - config_name: sna_asr
322
+ data_files:
323
+ - split: train
324
+ path: data/ASR/sna/sna-train-*
325
+ - split: validation
326
+ path: data/ASR/sna/sna-validation-*
327
+ - split: test
328
+ path: data/ASR/sna/sna-test-*
329
+ - split: unlabeled
330
+ path: data/ASR/sna/sna-unlabeled-*
331
+ - config_name: tir_asr
332
+ data_files:
333
+ - split: train
334
+ path: data/ASR/tir/tir-train-*
335
+ - split: validation
336
+ path: data/ASR/tir/tir-validation-*
337
+ - split: test
338
+ path: data/ASR/tir/tir-test-*
339
+ - split: unlabeled
340
+ path: data/ASR/tir/tir-unlabeled-*
341
+ - config_name: sog_asr
342
+ data_files:
343
+ - split: train
344
+ path: data/ASR/sog/sog-train-*
345
+ - split: validation
346
+ path: data/ASR/sog/sog-validation-*
347
+ - split: test
348
+ path: data/ASR/sog/sog-test-*
349
+ - split: unlabeled
350
+ path: data/ASR/sog/sog-unlabeled-*
351
+ - config_name: swa_tts
352
+ data_files:
353
+ - split: train
354
+ path: data/TTS/swa/swa-train-*
355
+ - split: validation
356
+ path: data/TTS/swa/swa-validation-*
357
+ - split: test
358
+ path: data/TTS/swa/swa-test-*
359
+ - config_name: twi_tts
360
+ data_files:
361
+ - split: train
362
+ path: data/TTS/twi/twi-train-*
363
+ - split: validation
364
+ path: data/TTS/twi/twi-validation-*
365
+ - split: test
366
+ path: data/TTS/twi/twi-test-*
367
+ - config_name: yor_tts
368
+ data_files:
369
+ - split: train
370
+ path: data/TTS/yor/yor-train-*
371
+ - split: validation
372
+ path: data/TTS/yor/yor-validation-*
373
+ - split: test
374
+ path: data/TTS/yor/yor-test-*
375
+ - config_name: wal_asr
376
+ data_files:
377
+ - split: train
378
+ path: data/ASR/wal/wal-train-*
379
+ - split: validation
380
+ path: data/ASR/wal/wal-validation-*
381
+ - split: test
382
+ path: data/ASR/wal/wal-test-*
383
+ - split: unlabeled
384
+ path: data/ASR/wal/wal-unlabeled-*
385
+ # - config_name: wol_tts
386
+ # data_files:
387
+ # - split: train
388
+ # path: data/TTS/wol/wol-train-*
389
+ # - split: validation
390
+ # path: data/TTS/wol/wol-validation-*
391
+ # - split: test
392
+ # path: data/TTS/wol/wol-test-*
393
+ dataset_info:
394
+ - config_name: ach_asr
395
+ features:
396
+ - name: id
397
+ dtype: string
398
+ - name: speaker_id
399
+ dtype: string
400
+ - name: transcription
401
+ dtype: string
402
+ - name: language
403
+ dtype: string
404
+ - name: gender
405
+ dtype: string
406
+ - name: audio
407
+ dtype: audio
408
+ - config_name: ach_tts
409
+ features:
410
+ - name: id
411
+ dtype: string
412
+ - name: speaker_id
413
+ dtype: string
414
+ - name: text
415
+ dtype: string
416
+ - name: locale
417
+ dtype: string
418
+ - name: gender
419
+ dtype: string
420
+ - name: audio
421
+ dtype: audio
422
+ - config_name: aka_asr
423
+ features:
424
+ - name: id
425
+ dtype: string
426
+ - name: speaker_id
427
+ dtype: string
428
+ - name: transcription
429
+ dtype: string
430
+ - name: language
431
+ dtype: string
432
+ - name: gender
433
+ dtype: string
434
+ - name: audio
435
+ dtype: audio
436
+ - config_name: amh_asr
437
+ features:
438
+ - name: id
439
+ dtype: string
440
+ - name: speaker_id
441
+ dtype: string
442
+ - name: transcription
443
+ dtype: string
444
+ - name: language
445
+ dtype: string
446
+ - name: gender
447
+ dtype: string
448
+ - name: audio
449
+ dtype: audio
450
+ # - config_name: bam_tts
451
+ # features:
452
+ # - name: id
453
+ # dtype: string
454
+ # - name: speaker_id
455
+ # dtype: string
456
+ # - name: text
457
+ # dtype: string
458
+ # - name: locale
459
+ # dtype: string
460
+ # - name: gender
461
+ # dtype: string
462
+ # - name: audio
463
+ # dtype: audio
464
+ - config_name: bau_tts
465
+ features:
466
+ - name: id
467
+ dtype: string
468
+ - name: speaker_id
469
+ dtype: string
470
+ - name: text
471
+ dtype: string
472
+ - name: locale
473
+ dtype: string
474
+ - name: gender
475
+ dtype: string
476
+ - name: audio
477
+ dtype: audio
478
+ - config_name: dag_asr
479
+ features:
480
+ - name: id
481
+ dtype: string
482
+ - name: speaker_id
483
+ dtype: string
484
+ - name: transcription
485
+ dtype: string
486
+ - name: language
487
+ dtype: string
488
+ - name: gender
489
+ dtype: string
490
+ - name: audio
491
+ dtype: audio
492
+ - config_name: dga_asr
493
+ features:
494
+ - name: id
495
+ dtype: string
496
+ - name: speaker_id
497
+ dtype: string
498
+ - name: transcription
499
+ dtype: string
500
+ - name: language
501
+ dtype: string
502
+ - name: gender
503
+ dtype: string
504
+ - name: audio
505
+ dtype: audio
506
+ - config_name: ewe_asr
507
+ features:
508
+ - name: id
509
+ dtype: string
510
+ - name: speaker_id
511
+ dtype: string
512
+ - name: transcription
513
+ dtype: string
514
+ - name: language
515
+ dtype: string
516
+ - name: gender
517
+ dtype: string
518
+ - name: audio
519
+ dtype: audio
520
+ - config_name: ewe_tts
521
+ features:
522
+ - name: id
523
+ dtype: string
524
+ - name: speaker_id
525
+ dtype: string
526
+ - name: text
527
+ dtype: string
528
+ - name: locale
529
+ dtype: string
530
+ - name: gender
531
+ dtype: string
532
+ - name: audio
533
+ dtype: audio
534
+ - config_name: fat_tts
535
+ features:
536
+ - name: id
537
+ dtype: string
538
+ - name: speaker_id
539
+ dtype: string
540
+ - name: text
541
+ dtype: string
542
+ - name: locale
543
+ dtype: string
544
+ - name: gender
545
+ dtype: string
546
+ - name: audio
547
+ dtype: audio
548
+ - config_name: ful_asr
549
+ features:
550
+ - name: id
551
+ dtype: string
552
+ - name: speaker_id
553
+ dtype: string
554
+ - name: transcription
555
+ dtype: string
556
+ - name: language
557
+ dtype: string
558
+ - name: gender
559
+ dtype: string
560
+ - name: audio
561
+ dtype: audio
562
+ - config_name: fuf_tts
563
+ features:
564
+ - name: id
565
+ dtype: string
566
+ - name: speaker_id
567
+ dtype: string
568
+ - name: text
569
+ dtype: string
570
+ - name: locale
571
+ dtype: string
572
+ - name: gender
573
+ dtype: string
574
+ - name: audio
575
+ dtype: audio
576
+ - config_name: ful_tts
577
+ features:
578
+ - name: id
579
+ dtype: string
580
+ - name: speaker_id
581
+ dtype: string
582
+ - name: text
583
+ dtype: string
584
+ - name: locale
585
+ dtype: string
586
+ - name: gender
587
+ dtype: string
588
+ - name: audio
589
+ dtype: audio
590
+ - config_name: hau_tts
591
+ features:
592
+ - name: id
593
+ dtype: string
594
+ - name: speaker_id
595
+ dtype: string
596
+ - name: text
597
+ dtype: string
598
+ - name: locale
599
+ dtype: string
600
+ - name: gender
601
+ dtype: string
602
+ - name: audio
603
+ dtype: audio
604
+ - config_name: ibo_tts
605
+ features:
606
+ - name: id
607
+ dtype: string
608
+ - name: speaker_id
609
+ dtype: string
610
+ - name: text
611
+ dtype: string
612
+ - name: locale
613
+ dtype: string
614
+ - name: gender
615
+ dtype: string
616
+ - name: audio
617
+ dtype: audio
618
+ - config_name: kik_tts
619
+ features:
620
+ - name: id
621
+ dtype: string
622
+ - name: speaker_id
623
+ dtype: string
624
+ - name: text
625
+ dtype: string
626
+ - name: locale
627
+ dtype: string
628
+ - name: gender
629
+ dtype: string
630
+ - name: audio
631
+ dtype: audio
632
+ - config_name: kpo_asr
633
+ features:
634
+ - name: id
635
+ dtype: string
636
+ - name: speaker_id
637
+ dtype: string
638
+ - name: transcription
639
+ dtype: string
640
+ - name: language
641
+ dtype: string
642
+ - name: gender
643
+ dtype: string
644
+ - name: audio
645
+ dtype: audio
646
+ - config_name: lin_asr
647
+ features:
648
+ - name: id
649
+ dtype: string
650
+ - name: speaker_id
651
+ dtype: string
652
+ - name: transcription
653
+ dtype: string
654
+ - name: language
655
+ dtype: string
656
+ - name: gender
657
+ dtype: string
658
+ - name: audio
659
+ dtype: audio
660
+ - config_name: lug_asr
661
+ features:
662
+ - name: id
663
+ dtype: string
664
+ - name: speaker_id
665
+ dtype: string
666
+ - name: transcription
667
+ dtype: string
668
+ - name: language
669
+ dtype: string
670
+ - name: gender
671
+ dtype: string
672
+ - name: audio
673
+ dtype: audio
674
+ - config_name: lug_tts
675
+ features:
676
+ - name: id
677
+ dtype: string
678
+ - name: speaker_id
679
+ dtype: string
680
+ - name: text
681
+ dtype: string
682
+ - name: locale
683
+ dtype: string
684
+ - name: gender
685
+ dtype: string
686
+ - name: audio
687
+ dtype: audio
688
+ - config_name: luo_tts
689
+ features:
690
+ - name: id
691
+ dtype: string
692
+ - name: speaker_id
693
+ dtype: string
694
+ - name: text
695
+ dtype: string
696
+ - name: locale
697
+ dtype: string
698
+ - name: gender
699
+ dtype: string
700
+ - name: audio
701
+ dtype: audio
702
+ - config_name: mas_asr
703
+ features:
704
+ - name: id
705
+ dtype: string
706
+ - name: speaker_id
707
+ dtype: string
708
+ - name: transcription
709
+ dtype: string
710
+ - name: language
711
+ dtype: string
712
+ - name: gender
713
+ dtype: string
714
+ - name: audio
715
+ dtype: audio
716
+ - config_name: mlg_asr
717
+ features:
718
+ - name: id
719
+ dtype: string
720
+ - name: speaker_id
721
+ dtype: string
722
+ - name: transcription
723
+ dtype: string
724
+ - name: language
725
+ dtype: string
726
+ - name: gender
727
+ dtype: string
728
+ - name: audio
729
+ dtype: audio
730
+ - config_name: nyn_asr
731
+ features:
732
+ - name: id
733
+ dtype: string
734
+ - name: speaker_id
735
+ dtype: string
736
+ - name: transcription
737
+ dtype: string
738
+ - name: language
739
+ dtype: string
740
+ - name: gender
741
+ dtype: string
742
+ - name: audio
743
+ dtype: audio
744
+ - config_name: nyn_tts
745
+ features:
746
+ - name: id
747
+ dtype: string
748
+ - name: speaker_id
749
+ dtype: string
750
+ - name: text
751
+ dtype: string
752
+ - name: locale
753
+ dtype: string
754
+ - name: gender
755
+ dtype: string
756
+ - name: audio
757
+ dtype: audio
758
+ - config_name: orm_asr
759
+ features:
760
+ - name: id
761
+ dtype: string
762
+ - name: speaker_id
763
+ dtype: string
764
+ - name: transcription
765
+ dtype: string
766
+ - name: language
767
+ dtype: string
768
+ - name: gender
769
+ dtype: string
770
+ - name: audio
771
+ dtype: audio
772
+ - config_name: pcm_tts
773
+ features:
774
+ - name: id
775
+ dtype: string
776
+ - name: speaker_id
777
+ dtype: string
778
+ - name: text
779
+ dtype: string
780
+ - name: locale
781
+ dtype: string
782
+ - name: gender
783
+ dtype: string
784
+ - name: audio
785
+ dtype: audio
786
+ - config_name: sid_asr
787
+ features:
788
+ - name: id
789
+ dtype: string
790
+ - name: speaker_id
791
+ dtype: string
792
+ - name: transcription
793
+ dtype: string
794
+ - name: language
795
+ dtype: string
796
+ - name: gender
797
+ dtype: string
798
+ - name: audio
799
+ dtype: audio
800
+ - config_name: sna_asr
801
+ features:
802
+ - name: id
803
+ dtype: string
804
+ - name: speaker_id
805
+ dtype: string
806
+ - name: transcription
807
+ dtype: string
808
+ - name: language
809
+ dtype: string
810
+ - name: gender
811
+ dtype: string
812
+ - name: audio
813
+ dtype: audio
814
+ - config_name: sog_asr
815
+ features:
816
+ - name: id
817
+ dtype: string
818
+ - name: speaker_id
819
+ dtype: string
820
+ - name: transcription
821
+ dtype: string
822
+ - name: language
823
+ dtype: string
824
+ - name: gender
825
+ dtype: string
826
+ - name: audio
827
+ dtype: audio
828
+ - config_name: swa_tts
829
+ features:
830
+ - name: id
831
+ dtype: string
832
+ - name: speaker_id
833
+ dtype: string
834
+ - name: text
835
+ dtype: string
836
+ - name: locale
837
+ dtype: string
838
+ - name: gender
839
+ dtype: string
840
+ - name: audio
841
+ dtype: audio
842
+ - config_name: tir_asr
843
+ features:
844
+ - name: id
845
+ dtype: string
846
+ - name: speaker_id
847
+ dtype: string
848
+ - name: transcription
849
+ dtype: string
850
+ - name: language
851
+ dtype: string
852
+ - name: gender
853
+ dtype: string
854
+ - name: audio
855
+ dtype: audio
856
+ - config_name: twi_tts
857
+ features:
858
+ - name: id
859
+ dtype: string
860
+ - name: speaker_id
861
+ dtype: string
862
+ - name: text
863
+ dtype: string
864
+ - name: locale
865
+ dtype: string
866
+ - name: gender
867
+ dtype: string
868
+ - name: audio
869
+ dtype: audio
870
+ - config_name: wal_asr
871
+ features:
872
+ - name: id
873
+ dtype: string
874
+ - name: speaker_id
875
+ dtype: string
876
+ - name: transcription
877
+ dtype: string
878
+ - name: language
879
+ dtype: string
880
+ - name: gender
881
+ dtype: string
882
+ - name: audio
883
+ dtype: audio
884
+ # - config_name: wol_tts
885
+ # features:
886
+ # - name: id
887
+ # dtype: string
888
+ # - name: speaker_id
889
+ # dtype: string
890
+ # - name: text
891
+ # dtype: string
892
+ # - name: locale
893
+ # dtype: string
894
+ # - name: gender
895
+ # dtype: string
896
+ # - name: audio
897
+ # dtype: audio
898
+ - config_name: yor_tts
899
+ features:
900
+ - name: id
901
+ dtype: string
902
+ - name: speaker_id
903
+ dtype: string
904
+ - name: text
905
+ dtype: string
906
+ - name: locale
907
+ dtype: string
908
+ - name: gender
909
+ dtype: string
910
+ - name: audio
911
+ dtype: audio
912
+ ---
913
+
914
+ # Waxal Datasets
915
+
916
+ The WAXAL dataset is a large-scale multilingual speech corpus for African languages, introduced in the paper [WAXAL: A Large-Scale Multilingual African Language Speech Corpus](https://huggingface.co/papers/2602.02734).
917
+
918
+ ## Table of Contents
919
+
920
+ - [Dataset Description](#dataset-description)
921
+ - [ASR Dataset](#asr-dataset)
922
+ - [TTS Dataset](#tts-dataset)
923
+ - [How to Use](#how-to-use)
924
+ - [Dataset Structure](#dataset-structure)
925
+ - [ASR Data Fields](#asr-data-fields)
926
+ - [TTS Data Fields](#tts-data-fields)
927
+ - [Data Splits](#data-splits)
928
+ - [Dataset Curation](#dataset-curation)
929
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
930
+ - [Additional Information](#additional-information)
931
+ - [Citation](#citation)
932
+
933
+ ## Dataset Description
934
+
935
+ The Waxal project provides datasets for both Automated Speech Recognition (ASR)
936
+ and Text-to-Speech (TTS) for African languages. The goal of this dataset's
937
+ creation and release is to facilitate research that improves the accuracy and
938
+ fluency of speech and language technology for these underserved languages, and
939
+ to serve as a repository for digital preservation.
940
+
941
+ The Waxal datasets are collections acquired through partnerships with Makerere
942
+ University, The University of Ghana, Digital Umuganda, Media Trust, Loud and
943
+ Clear, and AIMS Senegal. Acquisition was funded by Google and the Gates
944
+ Foundation under an agreement to make the dataset openly accessible. The Senegalese
945
+ languages (Wolof and Pular) were provided by AIMS Senegal.
946
+
947
+ ### ASR Dataset
948
+
949
+ The Waxal ASR dataset is a collection of data in 19 African languages. It
950
+ consists of approximately 1,250 hours of transcribed natural speech from a wide
951
+ variety of voices. The 19 languages in this dataset represent over 100 million
952
+ speakers across 40 Sub-Saharan African countries.
953
+
954
+ Provider | Languages | License
955
+ :------------------ | :--------------------------------------- | :------------:
956
+ Makerere University | Acholi, Luganda, Masaaba, Nyankole, Soga | `CC-BY-SA-4.0`
957
+ University of Ghana | Akan, Ewe, Dagbani, Dagaare, Ikposo | `CC-BY-4.0`
958
+ Digital Umuganda | Fula, Lingala, Shona, Malagasy, Amharic, Oromo, Sidama, Tigrinya, Wolaytta | `CC-BY-SA-4.0`
959
+
960
+ ### TTS Dataset
961
+
962
+ The Waxal TTS dataset is a collection of text-to-speech data in 17 African
963
+ languages. It consists of over 180 hours of high-quality, single-speaker recordings reading phonetically balanced scripts.
964
+
965
+ Provider | Languages | License
966
+ :------------------ | :----------------------------------- | :------------:
967
+ Makerere University | Acholi, Luganda, Kiswahili, Nyankole | `CC-BY-SA-4.0`
968
+ University of Ghana | Akan (Fante, Twi), Baoule, Ewe | `CC-BY-4.0`
969
+ Media Trust | Fula, Igbo, Hausa, Yoruba, Nigerian Pidgin | `CC-BY-SA-4.0`
970
+ Loud and Clear | Kikuyu, Luganda, Luo, Swahili | `CC-BY-SA-4.0`
971
+ AIMS Senegal | Bambara, Pular, Wolof | `CC-BY-SA-4.0`
972
+
973
+ ### How to Use
974
+
975
+ The `datasets` library allows you to load and pre-process your dataset in pure
976
+ Python, at scale.
977
+
978
+ First, ensure you have the necessary dependencies installed to handle audio
979
+ data. You will need `ffmpeg` installed on your system.
980
+
981
+ **Google Colab / Ubuntu**
982
+ ```bash
983
+ sudo apt-get install ffmpeg
984
+ pip install datasets[audio]
985
+ ```
986
+
987
+ **macOS**
988
+ ```bash
989
+ brew install ffmpeg
990
+ pip install datasets[audio]
991
+ ```
992
+
993
+ **Windows**
994
+ Download and install from [ffmpeg.org](https://ffmpeg.org/download.html) and ensure it's in your PATH.
995
+ ```bash
996
+ pip install datasets[audio]
997
+ ```
998
+
999
+ If you encounter `RuntimeError: Could not load libtorchcodec`, please ensure `ffmpeg` is correctly installed or check for compatibility between your `torch`, `torchaudio`, and `torchcodec` versions.
1000
+
1001
+ **Loading ASR Data**
1002
+
1003
+ To load ASR data for a specific language, specify the configuration name, e.g.
1004
+ `sna_asr` for Shona ASR data.
1005
+
1006
+ ```python
1007
+ from datasets import load_dataset, Audio
1008
+
1009
+ # Load Shona (sna) ASR dataset
1010
+ asr_data = load_dataset("google/WaxalNLP", "sna_asr")
1011
+
1012
+ # Access splits
1013
+ train = asr_data['train']
1014
+ val = asr_data['validation']
1015
+ test = asr_data['test']
1016
+
1017
+ # Example: Accessing audio bytes and other fields
1018
+ example = train[0]
1019
+ print(f"Transcription: {example['transcription']}")
1020
+ print(f"Sampling Rate: {example['audio']['sampling_rate']}")
1021
+ # 'array' contains the decoded audio bytes as a numpy array
1022
+ print(f"Audio Array Shape: {example['audio']['array'].shape}")
1023
+ ```
1024
+
1025
+ **Loading TTS Data**
1026
+
1027
+ To load TTS data for a specific language, specify the configuration name, e.g.
1028
+ `swa_tts` for Swahili TTS data.
1029
+
1030
+ ```python
1031
+ from datasets import load_dataset
1032
+
1033
+ # Load Swahili (swa) TTS dataset
1034
+ tts_data = load_dataset("google/WaxalNLP", "swa_tts")
1035
+
1036
+ # Access splits
1037
+ train = tts_data['train']
1038
+ ```
1039
+
1040
+ ## Dataset Structure
1041
+
1042
+ ### ASR Data Fields
1043
+
1044
+ ```python
1045
+ {
1046
+ 'id': 'sna_0',
1047
+ 'speaker_id': '...',
1048
+ 'audio': {
1049
+ 'array': [...],
1050
+ 'sample_rate': 16_000
1051
+ },
1052
+ 'transcription': '...',
1053
+ 'language': 'sna',
1054
+ 'gender': 'Female',
1055
+ }
1056
+ ```
1057
+
1058
+ * **id**: Unique identifier.
1059
+ * **speaker_id**: Unique identifier for the speaker.
1060
+ * **audio**: Audio data.
1061
+ * **transcription**: Transcription of the audio.
1062
+ * **language**: ISO 639-2 language code.
1063
+ * **gender**: Speaker gender ('Male', 'Female', or empty).
1064
+
1065
+ ### TTS Data Fields
1066
+
1067
+ ```python
1068
+ {
1069
+ 'id': 'swa_0',
1070
+ 'speaker_id': '...',
1071
+ 'audio': {
1072
+ 'array': [...],
1073
+ 'sample_rate': 16_000
1074
+ },
1075
+ 'text': '...',
1076
+ 'locale': 'swa',
1077
+ 'gender': 'Female',
1078
+ }
1079
+ ```
1080
+
1081
+ * **id**: Unique identifier.
1082
+ * **speaker_id**: Unique identifier for the speaker.
1083
+ * **audio**: Audio data.
1084
+ * **text**: Text script.
1085
+ * **locale**: ISO 639-2 language code.
1086
+ * **gender**: Speaker gender.
1087
+
1088
+ ### Data Splits
1089
+
1090
+ For the **ASR Dataset**, the data with transcriptions is split as follows: *
1091
+ **train**: 80% of labeled data. * **validation**: 10% of labeled data. *
1092
+ **test**: 10% of labeled data.
1093
+
1094
+ The **unlabeled** split contains all samples that do not have a corresponding
1095
+ transcription.
1096
+
1097
+ The **TTS Dataset** follows a similar structure, with data split into `train`,
1098
+ `validation`, and `test` sets.
1099
+
1100
+ ## Dataset Curation
1101
+
1102
+ The data was gathered by multiple partners:
1103
+
1104
+ Provider | Dataset | License
1105
+ :------------------ | :------------------------------------------------------- | :------
1106
+ University of Ghana | [UGSpeechData](https://doi.org/10.57760/sciencedb.22298) | `CC BY 4.0`
1107
+ Digital Umuganda | [AfriVoice](DigitalUmuganda/AfriVoice) | `CC-BY-SA 4.0`
1108
+ Makerere University | [Yogera Dataset](https://doi.org/10.7910/DVN/BEROE0) | `CC-BY-SA 4.0`
1109
+ Media Trust | | `CC-BY-SA 4.0`
1110
+ Loud and Clear | | `CC-BY-SA 4.0`
1111
+ AIMS Senegal | | `CC-BY-SA 4.0`
1112
+
1113
+ ## Considerations for Using the Data
1114
+
1115
+ Please check the license for the specific languages you are using, as they may
1116
+ differ between providers.
1117
+
1118
+ **Affiliation:** Google Research
1119
+
1120
+ ## Version and Maintenance
1121
+
1122
+ - **Current Version:** 2.0.0
1123
+ - **Last Updated:** 03/2026
1124
+
1125
+ ## Citation
1126
+
1127
+ ```bibtex
1128
+ @article{waxal2026,
1129
+ title={WAXAL: A Large-Scale Multilingual African Language Speech Corpus},
1130
+ author={Anonymous},
1131
+ journal={arXiv preprint arXiv:2602.02734},
1132
+ year={2026}
1133
+ }
1134
+ ```
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