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Datasets:
novelwolde36
/
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
novelwolde36 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
+ - dag
9
+ - dga
10
+ - ewe
11
+ - fat
12
+ - ful
13
+ - hau
14
+ - ibo
15
+ - kik
16
+ - kpo
17
+ - lin
18
+ - lug
19
+ - luo
20
+ - mas
21
+ - mlg
22
+ - nyn
23
+ - orm
24
+ - sid
25
+ - sna
26
+ - sog
27
+ - swa
28
+ - tir
29
+ - twi
30
+ - wal
31
+ - yor
32
+ license:
33
+ - cc-by-sa-4.0
34
+ - cc-by-4.0
35
+ multilinguality:
36
+ - multilingual
37
+ source_datasets:
38
+ - UGSpeechData
39
+ - DigitalUmuganda/AfriVoice
40
+ - original
41
+ task_categories:
42
+ - automatic-speech-recognition
43
+ - text-to-speech
44
+ pretty_name: Waxal NLP Datasets
45
+ arxiv: 2602.02734
46
+ annotation_creators:
47
+ - human-annotated
48
+ - crowdsourced
49
+ tags:
50
+ - audio
51
+ - automatic-speech-recognition
52
+ - text-to-speech
53
+ configs:
54
+ - config_name: ach_asr
55
+ data_files:
56
+ - split: train
57
+ path: data/ASR/ach/ach-train-*
58
+ - split: validation
59
+ path: data/ASR/ach/ach-validation-*
60
+ - split: test
61
+ path: data/ASR/ach/ach-test-*
62
+ - split: unlabeled
63
+ path: data/ASR/ach/ach-unlabeled-*
64
+ - config_name: ach_tts
65
+ data_files:
66
+ - split: train
67
+ path: data/TTS/ach/ach-train-*
68
+ - split: validation
69
+ path: data/TTS/ach/ach-validation-*
70
+ - split: test
71
+ path: data/TTS/ach/ach-test-*
72
+ - config_name: aka_asr
73
+ data_files:
74
+ - split: train
75
+ path: data/ASR/aka/aka-train-*
76
+ - split: validation
77
+ path: data/ASR/aka/aka-validation-*
78
+ - split: test
79
+ path: data/ASR/aka/aka-test-*
80
+ - split: unlabeled
81
+ path: data/ASR/aka/aka-unlabeled-*
82
+ - config_name: amh_asr
83
+ data_files:
84
+ - split: train
85
+ path: data/ASR/amh/amh-train-*
86
+ - split: validation
87
+ path: data/ASR/amh/amh-validation-*
88
+ - split: test
89
+ path: data/ASR/amh/amh-test-*
90
+ - split: unlabeled
91
+ path: data/ASR/amh/amh-unlabeled-*
92
+ - config_name: dag_asr
93
+ data_files:
94
+ - split: train
95
+ path: data/ASR/dag/dag-train-*
96
+ - split: validation
97
+ path: data/ASR/dag/dag-validation-*
98
+ - split: test
99
+ path: data/ASR/dag/dag-test-*
100
+ - split: unlabeled
101
+ path: data/ASR/dag/dag-unlabeled-*
102
+ - config_name: dga_asr
103
+ data_files:
104
+ - split: train
105
+ path: data/ASR/dga/dga-train-*
106
+ - split: validation
107
+ path: data/ASR/dga/dga-validation-*
108
+ - split: test
109
+ path: data/ASR/dga/dga-test-*
110
+ - split: unlabeled
111
+ path: data/ASR/dga/dga-unlabeled-*
112
+ - config_name: ewe_asr
113
+ data_files:
114
+ - split: train
115
+ path: data/ASR/ewe/ewe-train-*
116
+ - split: validation
117
+ path: data/ASR/ewe/ewe-validation-*
118
+ - split: test
119
+ path: data/ASR/ewe/ewe-test-*
120
+ - split: unlabeled
121
+ path: data/ASR/ewe/ewe-unlabeled-*
122
+ - config_name: fat_tts
123
+ data_files:
124
+ - split: train
125
+ path: data/TTS/fat/fat-train-*
126
+ - split: validation
127
+ path: data/TTS/fat/fat-validation-*
128
+ - split: test
129
+ path: data/TTS/fat/fat-test-*
130
+ - config_name: ful_asr
131
+ data_files:
132
+ - split: train
133
+ path: data/ASR/ful/ful-train-*
134
+ - split: validation
135
+ path: data/ASR/ful/ful-validation-*
136
+ - split: test
137
+ path: data/ASR/ful/ful-test-*
138
+ - split: unlabeled
139
+ path: data/ASR/ful/ful-unlabeled-*
140
+ - config_name: ful_tts
141
+ data_files:
142
+ - split: train
143
+ path: data/TTS/ful/ful-train-*
144
+ - split: validation
145
+ path: data/TTS/ful/ful-validation-*
146
+ - split: test
147
+ path: data/TTS/ful/ful-test-*
148
+ - config_name: hau_tts
149
+ data_files:
150
+ - split: train
151
+ path: data/TTS/hau/hau-train-*
152
+ - split: validation
153
+ path: data/TTS/hau/hau-validation-*
154
+ - split: test
155
+ path: data/TTS/hau/hau-test-*
156
+ - config_name: ibo_tts
157
+ data_files:
158
+ - split: train
159
+ path: data/TTS/ibo/ibo-train-*
160
+ - split: validation
161
+ path: data/TTS/ibo/ibo-validation-*
162
+ - split: test
163
+ path: data/TTS/ibo/ibo-test-*
164
+ - config_name: kik_tts
165
+ data_files:
166
+ - split: train
167
+ path: data/TTS/kik/kik-train-*
168
+ - split: validation
169
+ path: data/TTS/kik/kik-validation-*
170
+ - split: test
171
+ path: data/TTS/kik/kik-test-*
172
+ - config_name: kpo_asr
173
+ data_files:
174
+ - split: train
175
+ path: data/ASR/kpo/kpo-train-*
176
+ - split: validation
177
+ path: data/ASR/kpo/kpo-validation-*
178
+ - split: test
179
+ path: data/ASR/kpo/kpo-test-*
180
+ - split: unlabeled
181
+ path: data/ASR/kpo/kpo-unlabeled-*
182
+ - config_name: lin_asr
183
+ data_files:
184
+ - split: train
185
+ path: data/ASR/lin/lin-train-*
186
+ - split: validation
187
+ path: data/ASR/lin/lin-validation-*
188
+ - split: test
189
+ path: data/ASR/lin/lin-test-*
190
+ - split: unlabeled
191
+ path: data/ASR/lin/lin-unlabeled-*
192
+ - config_name: lug_asr
193
+ data_files:
194
+ - split: train
195
+ path: data/ASR/lug/lug-train-*
196
+ - split: validation
197
+ path: data/ASR/lug/lug-validation-*
198
+ - split: test
199
+ path: data/ASR/lug/lug-test-*
200
+ - split: unlabeled
201
+ path: data/ASR/lug/lug-unlabeled-*
202
+ - config_name: lug_tts
203
+ data_files:
204
+ - split: train
205
+ path: data/TTS/lug/lug-train-*
206
+ - split: validation
207
+ path: data/TTS/lug/lug-validation-*
208
+ - split: test
209
+ path: data/TTS/lug/lug-test-*
210
+ - config_name: luo_tts
211
+ data_files:
212
+ - split: train
213
+ path: data/TTS/luo/luo-train-*
214
+ - split: validation
215
+ path: data/TTS/luo/luo-validation-*
216
+ - split: test
217
+ path: data/TTS/luo/luo-test-*
218
+ - config_name: mas_asr
219
+ data_files:
220
+ - split: train
221
+ path: data/ASR/mas/mas-train-*
222
+ - split: validation
223
+ path: data/ASR/mas/mas-validation-*
224
+ - split: test
225
+ path: data/ASR/mas/mas-test-*
226
+ - split: unlabeled
227
+ path: data/ASR/mas/mas-unlabeled-*
228
+ - config_name: mlg_asr
229
+ data_files:
230
+ - split: train
231
+ path: data/ASR/mlg/mlg-train-*
232
+ - split: validation
233
+ path: data/ASR/mlg/mlg-validation-*
234
+ - split: test
235
+ path: data/ASR/mlg/mlg-test-*
236
+ - split: unlabeled
237
+ path: data/ASR/mlg/mlg-unlabeled-*
238
+ - config_name: nyn_asr
239
+ data_files:
240
+ - split: train
241
+ path: data/ASR/nyn/nyn-train-*
242
+ - split: validation
243
+ path: data/ASR/nyn/nyn-validation-*
244
+ - split: test
245
+ path: data/ASR/nyn/nyn-test-*
246
+ - split: unlabeled
247
+ path: data/ASR/nyn/nyn-unlabeled-*
248
+ - config_name: nyn_tts
249
+ data_files:
250
+ - split: train
251
+ path: data/TTS/nyn/nyn-train-*
252
+ - split: validation
253
+ path: data/TTS/nyn/nyn-validation-*
254
+ - split: test
255
+ path: data/TTS/nyn/nyn-test-*
256
+ - config_name: orm_asr
257
+ data_files:
258
+ - split: train
259
+ path: data/ASR/orm/orm-train-*
260
+ - split: validation
261
+ path: data/ASR/orm/orm-validation-*
262
+ - split: test
263
+ path: data/ASR/orm/orm-test-*
264
+ - split: unlabeled
265
+ path: data/ASR/orm/orm-unlabeled-*
266
+ - config_name: sid_asr
267
+ data_files:
268
+ - split: train
269
+ path: data/ASR/sid/sid-train-*
270
+ - split: validation
271
+ path: data/ASR/sid/sid-validation-*
272
+ - split: test
273
+ path: data/ASR/sid/sid-test-*
274
+ - split: unlabeled
275
+ path: data/ASR/sid/sid-unlabeled-*
276
+ - config_name: sna_asr
277
+ data_files:
278
+ - split: train
279
+ path: data/ASR/sna/sna-train-*
280
+ - split: validation
281
+ path: data/ASR/sna/sna-validation-*
282
+ - split: test
283
+ path: data/ASR/sna/sna-test-*
284
+ - split: unlabeled
285
+ path: data/ASR/sna/sna-unlabeled-*
286
+ - config_name: tir_asr
287
+ data_files:
288
+ - split: train
289
+ path: data/ASR/tir/tir-train-*
290
+ - split: validation
291
+ path: data/ASR/tir/tir-validation-*
292
+ - split: test
293
+ path: data/ASR/tir/tir-test-*
294
+ - split: unlabeled
295
+ path: data/ASR/tir/tir-unlabeled-*
296
+ - config_name: sog_asr
297
+ data_files:
298
+ - split: train
299
+ path: data/ASR/sog/sog-train-*
300
+ - split: validation
301
+ path: data/ASR/sog/sog-validation-*
302
+ - split: test
303
+ path: data/ASR/sog/sog-test-*
304
+ - split: unlabeled
305
+ path: data/ASR/sog/sog-unlabeled-*
306
+ - config_name: swa_tts
307
+ data_files:
308
+ - split: train
309
+ path: data/TTS/swa/swa-train-*
310
+ - split: validation
311
+ path: data/TTS/swa/swa-validation-*
312
+ - split: test
313
+ path: data/TTS/swa/swa-test-*
314
+ - config_name: twi_tts
315
+ data_files:
316
+ - split: train
317
+ path: data/TTS/twi/twi-train-*
318
+ - split: validation
319
+ path: data/TTS/twi/twi-validation-*
320
+ - split: test
321
+ path: data/TTS/twi/twi-test-*
322
+ - config_name: yor_tts
323
+ data_files:
324
+ - split: train
325
+ path: data/TTS/yor/yor-train-*
326
+ - split: validation
327
+ path: data/TTS/yor/yor-validation-*
328
+ - split: test
329
+ path: data/TTS/yor/yor-test-*
330
+ - config_name: wal_asr
331
+ data_files:
332
+ - split: train
333
+ path: data/ASR/wal/wal-train-*
334
+ - split: validation
335
+ path: data/ASR/wal/wal-validation-*
336
+ - split: test
337
+ path: data/ASR/wal/wal-test-*
338
+ - split: unlabeled
339
+ path: data/ASR/wal/wal-unlabeled-*
340
+ dataset_info:
341
+ - config_name: ach_asr
342
+ features:
343
+ - name: id
344
+ dtype: string
345
+ - name: speaker_id
346
+ dtype: string
347
+ - name: transcription
348
+ dtype: string
349
+ - name: language
350
+ dtype: string
351
+ - name: gender
352
+ dtype: string
353
+ - name: audio
354
+ dtype: audio
355
+ - config_name: ach_tts
356
+ features:
357
+ - name: id
358
+ dtype: string
359
+ - name: speaker_id
360
+ dtype: string
361
+ - name: text
362
+ dtype: string
363
+ - name: locale
364
+ dtype: string
365
+ - name: gender
366
+ dtype: string
367
+ - name: audio
368
+ dtype: audio
369
+ - config_name: aka_asr
370
+ features:
371
+ - name: id
372
+ dtype: string
373
+ - name: speaker_id
374
+ dtype: string
375
+ - name: transcription
376
+ dtype: string
377
+ - name: language
378
+ dtype: string
379
+ - name: gender
380
+ dtype: string
381
+ - name: audio
382
+ dtype: audio
383
+ - config_name: dag_asr
384
+ features:
385
+ - name: id
386
+ dtype: string
387
+ - name: speaker_id
388
+ dtype: string
389
+ - name: transcription
390
+ dtype: string
391
+ - name: language
392
+ dtype: string
393
+ - name: gender
394
+ dtype: string
395
+ - name: audio
396
+ dtype: audio
397
+ - config_name: dga_asr
398
+ features:
399
+ - name: id
400
+ dtype: string
401
+ - name: speaker_id
402
+ dtype: string
403
+ - name: transcription
404
+ dtype: string
405
+ - name: language
406
+ dtype: string
407
+ - name: gender
408
+ dtype: string
409
+ - name: audio
410
+ dtype: audio
411
+ - config_name: ewe_asr
412
+ features:
413
+ - name: id
414
+ dtype: string
415
+ - name: speaker_id
416
+ dtype: string
417
+ - name: transcription
418
+ dtype: string
419
+ - name: language
420
+ dtype: string
421
+ - name: gender
422
+ dtype: string
423
+ - name: audio
424
+ dtype: audio
425
+ - config_name: fat_tts
426
+ features:
427
+ - name: id
428
+ dtype: string
429
+ - name: speaker_id
430
+ dtype: string
431
+ - name: text
432
+ dtype: string
433
+ - name: locale
434
+ dtype: string
435
+ - name: gender
436
+ dtype: string
437
+ - name: audio
438
+ dtype: audio
439
+ - config_name: ful_asr
440
+ features:
441
+ - name: id
442
+ dtype: string
443
+ - name: speaker_id
444
+ dtype: string
445
+ - name: transcription
446
+ dtype: string
447
+ - name: language
448
+ dtype: string
449
+ - name: gender
450
+ dtype: string
451
+ - name: audio
452
+ dtype: audio
453
+ - config_name: ful_tts
454
+ features:
455
+ - name: id
456
+ dtype: string
457
+ - name: speaker_id
458
+ dtype: string
459
+ - name: text
460
+ dtype: string
461
+ - name: locale
462
+ dtype: string
463
+ - name: gender
464
+ dtype: string
465
+ - name: audio
466
+ dtype: audio
467
+ - config_name: hau_tts
468
+ features:
469
+ - name: id
470
+ dtype: string
471
+ - name: speaker_id
472
+ dtype: string
473
+ - name: text
474
+ dtype: string
475
+ - name: locale
476
+ dtype: string
477
+ - name: gender
478
+ dtype: string
479
+ - name: audio
480
+ dtype: audio
481
+ - config_name: ibo_tts
482
+ features:
483
+ - name: id
484
+ dtype: string
485
+ - name: speaker_id
486
+ dtype: string
487
+ - name: text
488
+ dtype: string
489
+ - name: locale
490
+ dtype: string
491
+ - name: gender
492
+ dtype: string
493
+ - name: audio
494
+ dtype: audio
495
+ - config_name: kik_tts
496
+ features:
497
+ - name: id
498
+ dtype: string
499
+ - name: speaker_id
500
+ dtype: string
501
+ - name: text
502
+ dtype: string
503
+ - name: locale
504
+ dtype: string
505
+ - name: gender
506
+ dtype: string
507
+ - name: audio
508
+ dtype: audio
509
+ - config_name: kpo_asr
510
+ features:
511
+ - name: id
512
+ dtype: string
513
+ - name: speaker_id
514
+ dtype: string
515
+ - name: transcription
516
+ dtype: string
517
+ - name: language
518
+ dtype: string
519
+ - name: gender
520
+ dtype: string
521
+ - name: audio
522
+ dtype: audio
523
+ - config_name: lin_asr
524
+ features:
525
+ - name: id
526
+ dtype: string
527
+ - name: speaker_id
528
+ dtype: string
529
+ - name: transcription
530
+ dtype: string
531
+ - name: language
532
+ dtype: string
533
+ - name: gender
534
+ dtype: string
535
+ - name: audio
536
+ dtype: audio
537
+ - config_name: lug_asr
538
+ features:
539
+ - name: id
540
+ dtype: string
541
+ - name: speaker_id
542
+ dtype: string
543
+ - name: transcription
544
+ dtype: string
545
+ - name: language
546
+ dtype: string
547
+ - name: gender
548
+ dtype: string
549
+ - name: audio
550
+ dtype: audio
551
+ - config_name: lug_tts
552
+ features:
553
+ - name: id
554
+ dtype: string
555
+ - name: speaker_id
556
+ dtype: string
557
+ - name: text
558
+ dtype: string
559
+ - name: locale
560
+ dtype: string
561
+ - name: gender
562
+ dtype: string
563
+ - name: audio
564
+ dtype: audio
565
+ - config_name: luo_tts
566
+ features:
567
+ - name: id
568
+ dtype: string
569
+ - name: speaker_id
570
+ dtype: string
571
+ - name: text
572
+ dtype: string
573
+ - name: locale
574
+ dtype: string
575
+ - name: gender
576
+ dtype: string
577
+ - name: audio
578
+ dtype: audio
579
+ - config_name: mas_asr
580
+ features:
581
+ - name: id
582
+ dtype: string
583
+ - name: speaker_id
584
+ dtype: string
585
+ - name: transcription
586
+ dtype: string
587
+ - name: language
588
+ dtype: string
589
+ - name: gender
590
+ dtype: string
591
+ - name: audio
592
+ dtype: audio
593
+ - config_name: mlg_asr
594
+ features:
595
+ - name: id
596
+ dtype: string
597
+ - name: speaker_id
598
+ dtype: string
599
+ - name: transcription
600
+ dtype: string
601
+ - name: language
602
+ dtype: string
603
+ - name: gender
604
+ dtype: string
605
+ - name: audio
606
+ dtype: audio
607
+ - config_name: nyn_asr
608
+ features:
609
+ - name: id
610
+ dtype: string
611
+ - name: speaker_id
612
+ dtype: string
613
+ - name: transcription
614
+ dtype: string
615
+ - name: language
616
+ dtype: string
617
+ - name: gender
618
+ dtype: string
619
+ - name: audio
620
+ dtype: audio
621
+ - config_name: nyn_tts
622
+ features:
623
+ - name: id
624
+ dtype: string
625
+ - name: speaker_id
626
+ dtype: string
627
+ - name: text
628
+ dtype: string
629
+ - name: locale
630
+ dtype: string
631
+ - name: gender
632
+ dtype: string
633
+ - name: audio
634
+ dtype: audio
635
+ - config_name: sna_asr
636
+ features:
637
+ - name: id
638
+ dtype: string
639
+ - name: speaker_id
640
+ dtype: string
641
+ - name: transcription
642
+ dtype: string
643
+ - name: language
644
+ dtype: string
645
+ - name: gender
646
+ dtype: string
647
+ - name: audio
648
+ dtype: audio
649
+ - config_name: sog_asr
650
+ features:
651
+ - name: id
652
+ dtype: string
653
+ - name: speaker_id
654
+ dtype: string
655
+ - name: transcription
656
+ dtype: string
657
+ - name: language
658
+ dtype: string
659
+ - name: gender
660
+ dtype: string
661
+ - name: audio
662
+ dtype: audio
663
+ - config_name: swa_tts
664
+ features:
665
+ - name: id
666
+ dtype: string
667
+ - name: speaker_id
668
+ dtype: string
669
+ - name: text
670
+ dtype: string
671
+ - name: locale
672
+ dtype: string
673
+ - name: gender
674
+ dtype: string
675
+ - name: audio
676
+ dtype: audio
677
+ - config_name: twi_tts
678
+ features:
679
+ - name: id
680
+ dtype: string
681
+ - name: speaker_id
682
+ dtype: string
683
+ - name: text
684
+ dtype: string
685
+ - name: locale
686
+ dtype: string
687
+ - name: gender
688
+ dtype: string
689
+ - name: audio
690
+ dtype: audio
691
+ - config_name: yor_tts
692
+ features:
693
+ - name: id
694
+ dtype: string
695
+ - name: speaker_id
696
+ dtype: string
697
+ - name: text
698
+ dtype: string
699
+ - name: locale
700
+ dtype: string
701
+ - name: gender
702
+ dtype: string
703
+ - name: audio
704
+ dtype: audio
705
+ ---
706
+
707
+ # Waxal Datasets
708
+
709
+ 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).
710
+
711
+ ## Table of Contents
712
+
713
+ - [Dataset Description](#dataset-description)
714
+ - [ASR Dataset](#asr-dataset)
715
+ - [TTS Dataset](#tts-dataset)
716
+ - [How to Use](#how-to-use)
717
+ - [Dataset Structure](#dataset-structure)
718
+ - [ASR Data Fields](#asr-data-fields)
719
+ - [TTS Data Fields](#tts-data-fields)
720
+ - [Data Splits](#data-splits)
721
+ - [Dataset Curation](#dataset-curation)
722
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
723
+ - [Additional Information](#additional-information)
724
+ - [Citation](#citation)
725
+
726
+ ## Dataset Description
727
+
728
+ The Waxal project provides datasets for both Automated Speech Recognition (ASR)
729
+ and Text-to-Speech (TTS) for African languages. The goal of this dataset's
730
+ creation and release is to facilitate research that improves the accuracy and
731
+ fluency of speech and language technology for these underserved languages, and
732
+ to serve as a repository for digital preservation.
733
+
734
+ The Waxal datasets are collections acquired through partnerships with Makerere
735
+ University, The University of Ghana, Digital Umuganda, and Media Trust.
736
+ Acquisition was funded by Google and the Gates Foundation under an agreement to
737
+ make the dataset openly accessible.
738
+
739
+ ### ASR Dataset
740
+
741
+ The Waxal ASR dataset is a collection of data in 19 African languages. It
742
+ consists of approximately 1,250 hours of transcribed natural speech from a wide
743
+ variety of voices. The 19 languages in this dataset represent over 100 million
744
+ speakers across 40 Sub-Saharan African countries.
745
+
746
+ Provider | Languages | License
747
+ :------------------ | :--------------------------------------- | :------------:
748
+ Makerere University | Acholi, Luganda, Masaaba, Nyankole, Soga | `CC-BY-SA-4.0`
749
+ University of Ghana | Akan, Ewe, Dagbani, Dagaare, Ikposo | `CC-BY-4.0`
750
+ Digital Umuganda | Fula, Lingala, Shona, Malagasy, Amharic, Oromo, Sidama, Tigrinya, Wolaytta | `CC-BY-SA-4.0`
751
+
752
+ ### TTS Dataset
753
+
754
+ The Waxal TTS dataset is a collection of text-to-speech data in 16 African
755
+ languages. It consists of over 180 hours of high-quality, single-speaker recordings reading phonetically balanced scripts.
756
+
757
+ Provider | Languages | License
758
+ :------------------ | :----------------------------------- | :------------:
759
+ Makerere University | Acholi, Luganda, Kiswahili, Nyankole | `CC-BY-SA-4.0`
760
+ University of Ghana | Akan (Fante, Twi) | `CC-BY-4.0`
761
+ Media Trust | Fula, Igbo, Hausa, Yoruba | `CC-BY-SA-4.0`
762
+ Loud and Clear | Kikuyu, Luo | `CC-BY-SA-4.0`
763
+
764
+ ### How to Use
765
+
766
+ The `datasets` library allows you to load and pre-process your dataset in pure
767
+ Python, at scale.
768
+
769
+ First, ensure you have the necessary dependencies installed to handle audio
770
+ data. You will need `ffmpeg` installed on your system.
771
+
772
+ **Google Colab / Ubuntu**
773
+ ```bash
774
+ sudo apt-get install ffmpeg
775
+ pip install datasets[audio]
776
+ ```
777
+
778
+ **macOS**
779
+ ```bash
780
+ brew install ffmpeg
781
+ pip install datasets[audio]
782
+ ```
783
+
784
+ **Windows**
785
+ Download and install from [ffmpeg.org](https://ffmpeg.org/download.html) and ensure it's in your PATH.
786
+ ```bash
787
+ pip install datasets[audio]
788
+ ```
789
+
790
+ 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.
791
+
792
+ **Loading ASR Data**
793
+
794
+ To load ASR data for a specific language, specify the configuration name, e.g.
795
+ `sna_asr` for Shona ASR data.
796
+
797
+ ```python
798
+ from datasets import load_dataset, Audio
799
+
800
+ # Load Shona (sna) ASR dataset
801
+ asr_data = load_dataset("google/WaxalNLP", "sna_asr")
802
+
803
+ # Access splits
804
+ train = asr_data['train']
805
+ val = asr_data['validation']
806
+ test = asr_data['test']
807
+
808
+ # Example: Accessing audio bytes and other fields
809
+ example = train[0]
810
+ print(f"Transcription: {example['transcription']}")
811
+ print(f"Sampling Rate: {example['audio']['sampling_rate']}")
812
+ # 'array' contains the decoded audio bytes as a numpy array
813
+ print(f"Audio Array Shape: {example['audio']['array'].shape}")
814
+ ```
815
+
816
+ **Loading TTS Data**
817
+
818
+ To load TTS data for a specific language, specify the configuration name, e.g.
819
+ `swa_tts` for Swahili TTS data.
820
+
821
+ ```python
822
+ from datasets import load_dataset
823
+
824
+ # Load Swahili (swa) TTS dataset
825
+ tts_data = load_dataset("google/WaxalNLP", "swa_tts")
826
+
827
+ # Access splits
828
+ train = tts_data['train']
829
+ ```
830
+
831
+ ## Dataset Structure
832
+
833
+ ### ASR Data Fields
834
+
835
+ ```python
836
+ {
837
+ 'id': 'sna_0',
838
+ 'speaker_id': '...',
839
+ 'audio': {
840
+ 'array': [...],
841
+ 'sample_rate': 16_000
842
+ },
843
+ 'transcription': '...',
844
+ 'language': 'sna',
845
+ 'gender': 'Female',
846
+ }
847
+ ```
848
+
849
+ * **id**: Unique identifier.
850
+ * **speaker_id**: Unique identifier for the speaker.
851
+ * **audio**: Audio data.
852
+ * **transcription**: Transcription of the audio.
853
+ * **language**: ISO 639-2 language code.
854
+ * **gender**: Speaker gender ('Male', 'Female', or empty).
855
+
856
+ ### TTS Data Fields
857
+
858
+ ```python
859
+ {
860
+ 'id': 'swa_0',
861
+ 'speaker_id': '...',
862
+ 'audio': {
863
+ 'array': [...],
864
+ 'sample_rate': 16_000
865
+ },
866
+ 'text': '...',
867
+ 'locale': 'swa',
868
+ 'gender': 'Female',
869
+ }
870
+ ```
871
+
872
+ * **id**: Unique identifier.
873
+ * **speaker_id**: Unique identifier for the speaker.
874
+ * **audio**: Audio data.
875
+ * **text**: Text script.
876
+ * **locale**: ISO 639-2 language code.
877
+ * **gender**: Speaker gender.
878
+
879
+ ### Data Splits
880
+
881
+ For the **ASR Dataset**, the data with transcriptions is split as follows: *
882
+ **train**: 80% of labeled data. * **validation**: 10% of labeled data. *
883
+ **test**: 10% of labeled data.
884
+
885
+ The **unlabeled** split contains all samples that do not have a corresponding
886
+ transcription.
887
+
888
+ The **TTS Dataset** follows a similar structure, with data split into `train`,
889
+ `validation`, and `test` sets.
890
+
891
+ ## Dataset Curation
892
+
893
+ The data was gathered by multiple partners:
894
+
895
+ Provider | Dataset | License
896
+ :------------------ | :------------------------------------------------------- | :------
897
+ University of Ghana | [UGSpeechData](https://doi.org/10.57760/sciencedb.22298) | `CC BY 4.0`
898
+ Digital Umuganda | [AfriVoice](DigitalUmuganda/AfriVoice) | `CC-BY-SA 4.0`
899
+ Makerere University | [Yogera Dataset](https://doi.org/10.7910/DVN/BEROE0) | `CC-BY-SA 4.0`
900
+ Media Trust | | `CC-BY-SA 4.0`
901
+
902
+ ## Considerations for Using the Data
903
+
904
+ Please check the license for the specific languages you are using, as they may
905
+ differ between providers.
906
+
907
+ **Affiliation:** Google Research
908
+
909
+ ## Version and Maintenance
910
+
911
+ - **Current Version:** 1.0.0
912
+ - **Last Updated:** 01/2026
913
+
914
+ ## Citation
915
+
916
+ ```bibtex
917
+ @article{waxal2026,
918
+ title={WAXAL: A Large-Scale Multilingual African Language Speech Corpus},
919
+ author={Anonymous},
920
+ journal={arXiv preprint arXiv:2602.02734},
921
+ year={2026}
922
+ }
923
+ ```
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