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Datasets:
0xzanuee
/
WaxalNLP

Tasks:
Automatic Speech Recognition
Text-to-Speech
Modalities:
Audio
Text
Formats:
parquet
Languages:
Acoli
Akan
Dagbani
Size:
1M - 10M
Tags:
audio
automatic-speech-recognition
text-to-speech
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
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 Community
0xzanuee perrynelson commited on
Commit
99a03cf
·
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Duplicate from google/WaxalNLP

Browse files

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

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README.md ADDED
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1
+ ---
2
+ license:
3
+ - cc-by-sa-4.0
4
+ - cc-by-4.0
5
+ annotation_creators:
6
+ - human-annotated
7
+ - crowdsourced
8
+ language_creators:
9
+ - creator_1
10
+ tags:
11
+ - audio
12
+ - automatic-speech-recognition
13
+ - text-to-speech
14
+ language:
15
+ - ach
16
+ - aka
17
+ - dag
18
+ - dga
19
+ - ewe
20
+ - fat
21
+ - ful
22
+ - hau
23
+ - ibo
24
+ - kpo
25
+ - lin
26
+ - lug
27
+ - mas
28
+ - mlg
29
+ - nyn
30
+ - sna
31
+ - sog
32
+ - swa
33
+ - twi
34
+ - yor
35
+ multilinguality:
36
+ - multilingual
37
+ pretty_name: Waxal NLP Datasets
38
+ task_categories:
39
+ - automatic-speech-recognition
40
+ - text-to-speech
41
+ source_datasets:
42
+ - UGSpeechData
43
+ - DigitalUmuganda/AfriVoice
44
+ - original
45
+ configs:
46
+ - config_name: ach_asr
47
+ data_files:
48
+ - split: train
49
+ path: "data/ASR/ach/ach-train-*"
50
+ - split: validation
51
+ path: "data/ASR/ach/ach-validation-*"
52
+ - split: test
53
+ path: "data/ASR/ach/ach-test-*"
54
+ - split: unlabeled
55
+ path: "data/ASR/ach/ach-unlabeled-*"
56
+ - config_name: ach_tts
57
+ data_files:
58
+ - split: train
59
+ path: "data/TTS/ach/ach-train-*"
60
+ - split: validation
61
+ path: "data/TTS/ach/ach-validation-*"
62
+ - split: test
63
+ path: "data/TTS/ach/ach-test-*"
64
+ - config_name: aka_asr
65
+ data_files:
66
+ - split: train
67
+ path: "data/ASR/aka/aka-train-*"
68
+ - split: validation
69
+ path: "data/ASR/aka/aka-validation-*"
70
+ - split: test
71
+ path: "data/ASR/aka/aka-test-*"
72
+ - split: unlabeled
73
+ path: "data/ASR/aka/aka-unlabeled-*"
74
+ - config_name: dag_asr
75
+ data_files:
76
+ - split: train
77
+ path: "data/ASR/dag/dag-train-*"
78
+ - split: validation
79
+ path: "data/ASR/dag/dag-validation-*"
80
+ - split: test
81
+ path: "data/ASR/dag/dag-test-*"
82
+ - split: unlabeled
83
+ path: "data/ASR/dag/dag-unlabeled-*"
84
+ - config_name: dga_asr
85
+ data_files:
86
+ - split: train
87
+ path: "data/ASR/dga/dga-train-*"
88
+ - split: validation
89
+ path: "data/ASR/dga/dga-validation-*"
90
+ - split: test
91
+ path: "data/ASR/dga/dga-test-*"
92
+ - split: unlabeled
93
+ path: "data/ASR/dga/dga-unlabeled-*"
94
+ - config_name: ewe_asr
95
+ data_files:
96
+ - split: train
97
+ path: "data/ASR/ewe/ewe-train-*"
98
+ - split: validation
99
+ path: "data/ASR/ewe/ewe-validation-*"
100
+ - split: test
101
+ path: "data/ASR/ewe/ewe-test-*"
102
+ - split: unlabeled
103
+ path: "data/ASR/ewe/ewe-unlabeled-*"
104
+ - config_name: fat_tts
105
+ data_files:
106
+ - split: train
107
+ path: "data/TTS/fat/fat-train-*"
108
+ - split: validation
109
+ path: "data/TTS/fat/fat-validation-*"
110
+ - split: test
111
+ path: "data/TTS/fat/fat-test-*"
112
+ - config_name: ful_asr
113
+ data_files:
114
+ - split: train
115
+ path: "data/ASR/ful/ful-train-*"
116
+ - split: validation
117
+ path: "data/ASR/ful/ful-validation-*"
118
+ - split: test
119
+ path: "data/ASR/ful/ful-test-*"
120
+ - split: unlabeled
121
+ path: "data/ASR/ful/ful-unlabeled-*"
122
+ - config_name: ful_tts
123
+ data_files:
124
+ - split: train
125
+ path: "data/TTS/ful/ful-train-*"
126
+ - split: validation
127
+ path: "data/TTS/ful/ful-validation-*"
128
+ - split: test
129
+ path: "data/TTS/ful/ful-test-*"
130
+ - config_name: hau_tts
131
+ data_files:
132
+ - split: train
133
+ path: "data/TTS/hau/hau-train-*"
134
+ - split: validation
135
+ path: "data/TTS/hau/hau-validation-*"
136
+ - split: test
137
+ path: "data/TTS/hau/hau-test-*"
138
+ - config_name: ibo_tts
139
+ data_files:
140
+ - split: train
141
+ path: "data/TTS/ibo/ibo-train-*"
142
+ - split: validation
143
+ path: "data/TTS/ibo/ibo-validation-*"
144
+ - split: test
145
+ path: "data/TTS/ibo/ibo-test-*"
146
+ - config_name: kpo_asr
147
+ data_files:
148
+ - split: train
149
+ path: "data/ASR/kpo/kpo-train-*"
150
+ - split: validation
151
+ path: "data/ASR/kpo/kpo-validation-*"
152
+ - split: test
153
+ path: "data/ASR/kpo/kpo-test-*"
154
+ - split: unlabeled
155
+ path: "data/ASR/kpo/kpo-unlabeled-*"
156
+ - config_name: lin_asr
157
+ data_files:
158
+ - split: train
159
+ path: "data/ASR/lin/lin-train-*"
160
+ - split: validation
161
+ path: "data/ASR/lin/lin-validation-*"
162
+ - split: test
163
+ path: "data/ASR/lin/lin-test-*"
164
+ - split: unlabeled
165
+ path: "data/ASR/lin/lin-unlabeled-*"
166
+ - config_name: lug_asr
167
+ data_files:
168
+ - split: train
169
+ path: "data/ASR/lug/lug-train-*"
170
+ - split: validation
171
+ path: "data/ASR/lug/lug-validation-*"
172
+ - split: test
173
+ path: "data/ASR/lug/lug-test-*"
174
+ - split: unlabeled
175
+ path: "data/ASR/lug/lug-unlabeled-*"
176
+ - config_name: lug_tts
177
+ data_files:
178
+ - split: train
179
+ path: "data/TTS/lug/lug-train-*"
180
+ - split: validation
181
+ path: "data/TTS/lug/lug-validation-*"
182
+ - split: test
183
+ path: "data/TTS/lug/lug-test-*"
184
+ - config_name: mas_asr
185
+ data_files:
186
+ - split: train
187
+ path: "data/ASR/mas/mas-train-*"
188
+ - split: validation
189
+ path: "data/ASR/mas/mas-validation-*"
190
+ - split: test
191
+ path: "data/ASR/mas/mas-test-*"
192
+ - split: unlabeled
193
+ path: "data/ASR/mas/mas-unlabeled-*"
194
+ - config_name: mlg_asr
195
+ data_files:
196
+ - split: train
197
+ path: "data/ASR/mlg/mlg-train-*"
198
+ - split: validation
199
+ path: "data/ASR/mlg/mlg-validation-*"
200
+ - split: test
201
+ path: "data/ASR/mlg/mlg-test-*"
202
+ - split: unlabeled
203
+ path: "data/ASR/mlg/mlg-unlabeled-*"
204
+ - config_name: nyn_asr
205
+ data_files:
206
+ - split: train
207
+ path: "data/ASR/nyn/nyn-train-*"
208
+ - split: validation
209
+ path: "data/ASR/nyn/nyn-validation-*"
210
+ - split: test
211
+ path: "data/ASR/nyn/nyn-test-*"
212
+ - split: unlabeled
213
+ path: "data/ASR/nyn/nyn-unlabeled-*"
214
+ - config_name: nyn_tts
215
+ data_files:
216
+ - split: train
217
+ path: "data/TTS/nyn/nyn-train-*"
218
+ - split: validation
219
+ path: "data/TTS/nyn/nyn-validation-*"
220
+ - split: test
221
+ path: "data/TTS/nyn/nyn-test-*"
222
+ - config_name: sna_asr
223
+ data_files:
224
+ - split: train
225
+ path: "data/ASR/sna/sna-train-*"
226
+ - split: validation
227
+ path: "data/ASR/sna/sna-validation-*"
228
+ - split: test
229
+ path: "data/ASR/sna/sna-test-*"
230
+ - split: unlabeled
231
+ path: "data/ASR/sna/sna-unlabeled-*"
232
+ - config_name: sog_asr
233
+ data_files:
234
+ - split: train
235
+ path: "data/ASR/sog/sog-train-*"
236
+ - split: validation
237
+ path: "data/ASR/sog/sog-validation-*"
238
+ - split: test
239
+ path: "data/ASR/sog/sog-test-*"
240
+ - split: unlabeled
241
+ path: "data/ASR/sog/sog-unlabeled-*"
242
+ - config_name: swa_tts
243
+ data_files:
244
+ - split: train
245
+ path: "data/TTS/swa/swa-train-*"
246
+ - split: validation
247
+ path: "data/TTS/swa/swa-validation-*"
248
+ - split: test
249
+ path: "data/TTS/swa/swa-test-*"
250
+ - config_name: twi_tts
251
+ data_files:
252
+ - split: train
253
+ path: "data/TTS/twi/twi-train-*"
254
+ - split: validation
255
+ path: "data/TTS/twi/twi-validation-*"
256
+ - split: test
257
+ path: "data/TTS/twi/twi-test-*"
258
+ - config_name: yor_tts
259
+ data_files:
260
+ - split: train
261
+ path: "data/TTS/yor/yor-train-*"
262
+ - split: validation
263
+ path: "data/TTS/yor/yor-validation-*"
264
+ - split: test
265
+ path: "data/TTS/yor/yor-test-*"
266
+ dataset_info:
267
+ - config_name: ach_asr
268
+ features:
269
+ - name: id
270
+ dtype: string
271
+ - name: speaker_id
272
+ dtype: string
273
+ - name: transcription
274
+ dtype: string
275
+ - name: language
276
+ dtype: string
277
+ - name: gender
278
+ dtype: string
279
+ - name: audio
280
+ dtype: audio
281
+ - config_name: ach_tts
282
+ features:
283
+ - name: id
284
+ dtype: string
285
+ - name: speaker_id
286
+ dtype: string
287
+ - name: text
288
+ dtype: string
289
+ - name: locale
290
+ dtype: string
291
+ - name: gender
292
+ dtype: string
293
+ - name: audio
294
+ dtype: audio
295
+ - config_name: aka_asr
296
+ features:
297
+ - name: id
298
+ dtype: string
299
+ - name: speaker_id
300
+ dtype: string
301
+ - name: transcription
302
+ dtype: string
303
+ - name: language
304
+ dtype: string
305
+ - name: gender
306
+ dtype: string
307
+ - name: audio
308
+ dtype: audio
309
+ - config_name: dag_asr
310
+ features:
311
+ - name: id
312
+ dtype: string
313
+ - name: speaker_id
314
+ dtype: string
315
+ - name: transcription
316
+ dtype: string
317
+ - name: language
318
+ dtype: string
319
+ - name: gender
320
+ dtype: string
321
+ - name: audio
322
+ dtype: audio
323
+ - config_name: dga_asr
324
+ features:
325
+ - name: id
326
+ dtype: string
327
+ - name: speaker_id
328
+ dtype: string
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+ - name: transcription
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+ dtype: string
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+ - name: language
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+ dtype: string
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+ - name: gender
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+ dtype: string
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+ - name: audio
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+ dtype: audio
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+ - config_name: ewe_asr
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+ features:
339
+ - name: id
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+ dtype: string
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+ - name: speaker_id
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+ dtype: string
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+ - name: transcription
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+ dtype: string
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+ - name: language
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+ dtype: string
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+ - name: gender
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+ dtype: string
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+ - name: audio
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+ dtype: audio
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+ - config_name: fat_tts
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: speaker_id
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+ dtype: string
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+ - name: text
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+ dtype: string
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+ - name: locale
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+ dtype: string
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+ - name: gender
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+ dtype: string
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+ - name: audio
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+ dtype: audio
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+ - config_name: ful_asr
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: speaker_id
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+ dtype: string
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+ - name: transcription
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+ dtype: string
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+ - name: language
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+ dtype: string
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+ - name: gender
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+ dtype: string
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+ - name: audio
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+ dtype: audio
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+ - config_name: ful_tts
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: speaker_id
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+ dtype: string
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+ - name: text
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+ dtype: string
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+ - name: locale
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+ dtype: string
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+ - name: gender
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+ dtype: string
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+ - name: audio
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+ dtype: audio
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+ - config_name: hau_tts
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: speaker_id
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+ dtype: string
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+ - name: text
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+ dtype: string
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+ - name: locale
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+ dtype: string
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+ - name: gender
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+ dtype: string
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+ - name: audio
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+ dtype: audio
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+ - config_name: ibo_tts
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: speaker_id
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+ dtype: string
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+ - name: text
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+ dtype: string
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+ - name: locale
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+ dtype: string
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+ - name: gender
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+ dtype: string
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+ - name: audio
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+ dtype: audio
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+ - config_name: kpo_asr
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+ features:
423
+ - name: id
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+ dtype: string
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+ - name: speaker_id
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+ dtype: string
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+ - name: transcription
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+ dtype: string
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+ - name: language
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+ dtype: string
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+ - name: gender
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+ dtype: string
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+ - name: audio
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+ dtype: audio
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+ - config_name: lin_asr
436
+ features:
437
+ - name: id
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+ dtype: string
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+ - name: speaker_id
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+ dtype: string
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+ - name: transcription
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+ dtype: string
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+ - name: language
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+ dtype: string
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+ - name: gender
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+ dtype: string
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+ - name: audio
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+ dtype: audio
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+ - config_name: lug_asr
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: speaker_id
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+ dtype: string
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+ - name: transcription
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+ dtype: string
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+ - name: language
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+ dtype: string
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+ - name: gender
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+ dtype: string
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+ - name: audio
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+ dtype: audio
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+ - config_name: lug_tts
464
+ features:
465
+ - name: id
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+ dtype: string
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+ - name: speaker_id
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+ dtype: string
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+ - name: text
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+ dtype: string
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+ - name: locale
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+ dtype: string
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+ - name: gender
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+ dtype: string
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+ - name: audio
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+ dtype: audio
477
+ - config_name: mas_asr
478
+ features:
479
+ - name: id
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+ dtype: string
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+ - name: speaker_id
482
+ dtype: string
483
+ - name: transcription
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+ dtype: string
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+ - name: language
486
+ dtype: string
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+ - name: gender
488
+ dtype: string
489
+ - name: audio
490
+ dtype: audio
491
+ - config_name: mlg_asr
492
+ features:
493
+ - name: id
494
+ dtype: string
495
+ - name: speaker_id
496
+ dtype: string
497
+ - name: transcription
498
+ dtype: string
499
+ - name: language
500
+ dtype: string
501
+ - name: gender
502
+ dtype: string
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+ - name: audio
504
+ dtype: audio
505
+ - config_name: nyn_asr
506
+ features:
507
+ - name: id
508
+ dtype: string
509
+ - name: speaker_id
510
+ dtype: string
511
+ - name: transcription
512
+ dtype: string
513
+ - name: language
514
+ dtype: string
515
+ - name: gender
516
+ dtype: string
517
+ - name: audio
518
+ dtype: audio
519
+ - config_name: nyn_tts
520
+ features:
521
+ - name: id
522
+ dtype: string
523
+ - name: speaker_id
524
+ dtype: string
525
+ - name: text
526
+ dtype: string
527
+ - name: locale
528
+ dtype: string
529
+ - name: gender
530
+ dtype: string
531
+ - name: audio
532
+ dtype: audio
533
+ - config_name: sna_asr
534
+ features:
535
+ - name: id
536
+ dtype: string
537
+ - name: speaker_id
538
+ dtype: string
539
+ - name: transcription
540
+ dtype: string
541
+ - name: language
542
+ dtype: string
543
+ - name: gender
544
+ dtype: string
545
+ - name: audio
546
+ dtype: audio
547
+ - config_name: sog_asr
548
+ features:
549
+ - name: id
550
+ dtype: string
551
+ - name: speaker_id
552
+ dtype: string
553
+ - name: transcription
554
+ dtype: string
555
+ - name: language
556
+ dtype: string
557
+ - name: gender
558
+ dtype: string
559
+ - name: audio
560
+ dtype: audio
561
+ - config_name: swa_tts
562
+ features:
563
+ - name: id
564
+ dtype: string
565
+ - name: speaker_id
566
+ dtype: string
567
+ - name: text
568
+ dtype: string
569
+ - name: locale
570
+ dtype: string
571
+ - name: gender
572
+ dtype: string
573
+ - name: audio
574
+ dtype: audio
575
+ - config_name: twi_tts
576
+ features:
577
+ - name: id
578
+ dtype: string
579
+ - name: speaker_id
580
+ dtype: string
581
+ - name: text
582
+ dtype: string
583
+ - name: locale
584
+ dtype: string
585
+ - name: gender
586
+ dtype: string
587
+ - name: audio
588
+ dtype: audio
589
+ - config_name: yor_tts
590
+ features:
591
+ - name: id
592
+ dtype: string
593
+ - name: speaker_id
594
+ dtype: string
595
+ - name: text
596
+ dtype: string
597
+ - name: locale
598
+ dtype: string
599
+ - name: gender
600
+ dtype: string
601
+ - name: audio
602
+ dtype: audio
603
+ ---
604
+
605
+ # Waxal Datasets
606
+
607
+ ## Table of Contents
608
+
609
+ - [Dataset Description](#dataset-description)
610
+ - [ASR Dataset](#asr-dataset)
611
+ - [TTS Dataset](#tts-dataset)
612
+ - [How to Use](#how-to-use)
613
+ - [Dataset Structure](#dataset-structure)
614
+ - [ASR Data Fields](#asr-data-fields)
615
+ - [TTS Data Fields](#tts-data-fields)
616
+ - [Data Splits](#data-splits)
617
+ - [Dataset Curation](#dataset-curation)
618
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
619
+ - [Additional Information](#additional-information)
620
+
621
+ ## Dataset Description
622
+
623
+ The Waxal project provides datasets for both Automated Speech Recognition (ASR)
624
+ and Text-to-Speech (TTS) for African languages. The goal of this dataset's
625
+ creation and release is to facilitate research that improves the accuracy and
626
+ fluency of speech and language technology for these underserved languages, and
627
+ to serve as a repository for digital preservation.
628
+
629
+ The Waxal datasets are collections acquired through partnerships with Makerere
630
+ University, The University of Ghana, Digital Umuganda, and Media Trust.
631
+ Acquisition was funded by Google and the Gates Foundation under an agreement to
632
+ make the dataset openly accessible.
633
+
634
+ ### ASR Dataset
635
+
636
+ The Waxal ASR dataset is a collection of data in 14 African languages. It
637
+ consists of approximately 1,250 hours of transcribed natural speech from a wide
638
+ variety of voices. The 14 languages in this dataset represent over 100 million
639
+ speakers across 40 Sub-Saharan African countries.
640
+
641
+ Provider | Languages | License
642
+ :------------------ | :--------------------------------------- | :------------:
643
+ Makerere University | Acholi, Luganda, Masaaba, Nyankole, Soga | `CC-BY-4.0`
644
+ University of Ghana | Akan, Ewe, Dagbani, Dagaare, Ikposo | `CC-BY-4.0`
645
+ Digital Umuganda | Fula, Lingala, Shona, Malagasy | `CC-BY-4.0`
646
+
647
+ ### TTS Dataset
648
+
649
+ The Waxal TTS dataset is a collection of text-to-speech data in 10 African
650
+ languages. It consists of approximately 240 hours of scripted natural speech
651
+ from a wide variety of voices.
652
+
653
+ Provider | Languages | License
654
+ :------------------ | :----------------------------------- | :------------:
655
+ Makerere University | Acholi, Luganda, Kiswahili, Nyankole | `CC-BY-4.0`
656
+ University of Ghana | Akan (Fante, Twi) | `CC-BY-4.0`
657
+ Media Trust | Fula, Igbo, Hausa, Yoruba | `CC-BY-4.0`
658
+
659
+ ### How to Use
660
+
661
+ The `datasets` library allows you to load and pre-process your dataset in pure
662
+ Python, at scale.
663
+
664
+ First, ensure you have the necessary dependencies installed to handle audio
665
+ data. You will need `ffmpeg` installed on your system.
666
+
667
+ **Google Colab / Ubuntu**
668
+ ```bash
669
+ sudo apt-get install ffmpeg
670
+ pip install datasets[audio]
671
+ ```
672
+
673
+ **macOS**
674
+ ```bash
675
+ brew install ffmpeg
676
+ pip install datasets[audio]
677
+ ```
678
+
679
+ **Windows**
680
+ Download and install from [ffmpeg.org](https://ffmpeg.org/download.html) and ensure it's in your PATH.
681
+ ```bash
682
+ pip install datasets[audio]
683
+ ```
684
+
685
+ 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.
686
+
687
+ **Loading ASR Data**
688
+
689
+ To load ASR data for a specific language, specify the configuration name, e.g.
690
+ `sna_asr` for Shona ASR data.
691
+
692
+ ```python
693
+ from datasets import load_dataset, Audio
694
+
695
+ # Load Shona (sna) ASR dataset
696
+ asr_data = load_dataset("google/WaxalNLP", "sna_asr")
697
+
698
+ # Access splits
699
+ train = asr_data['train']
700
+ val = asr_data['validation']
701
+ test = asr_data['test']
702
+
703
+ # Example: Accessing audio bytes and other fields
704
+ example = train[0]
705
+ print(f"Transcription: {example['transcription']}")
706
+ print(f"Sampling Rate: {example['audio']['sampling_rate']}")
707
+ # 'array' contains the decoded audio bytes as a numpy array
708
+ print(f"Audio Array Shape: {example['audio']['array'].shape}")
709
+ ```
710
+
711
+ **Loading TTS Data**
712
+
713
+ To load TTS data for a specific language, specify the configuration name, e.g.
714
+ `swa_tts` for Swahili TTS data.
715
+
716
+ ```python
717
+ from datasets import load_dataset
718
+
719
+ # Load Swahili (swa) TTS dataset
720
+ tts_data = load_dataset("google/WaxalNLP", "swa_tts")
721
+
722
+ # Access splits
723
+ train = tts_data['train']
724
+ ```
725
+
726
+ ## Dataset Structure
727
+
728
+ ### ASR Data Fields
729
+
730
+ ```python
731
+ {
732
+ 'id': 'sna_0',
733
+ 'speaker_id': '...',
734
+ 'audio': {
735
+ 'array': [...],
736
+ 'sample_rate': 16_000
737
+ },
738
+ 'transcription': '...',
739
+ 'language': 'sna',
740
+ 'gender': 'Female',
741
+ }
742
+ ```
743
+
744
+ * **id**: Unique identifier.
745
+ * **speaker_id**: Unique identifier for the speaker.
746
+ * **audio**: Audio data.
747
+ * **transcription**: Transcription of the audio.
748
+ * **language**: ISO 639-2 language code.
749
+ * **gender**: Speaker gender ('Male', 'Female', or empty).
750
+
751
+ ### TTS Data Fields
752
+
753
+ ```python
754
+ {
755
+ 'id': 'swa_0',
756
+ 'speaker_id': '...',
757
+ 'audio': {
758
+ 'array': [...],
759
+ 'sample_rate': 16_000
760
+ },
761
+ 'text': '...',
762
+ 'locale': 'swa',
763
+ 'gender': 'Female',
764
+ }
765
+ ```
766
+
767
+ * **id**: Unique identifier.
768
+ * **speaker_id**: Unique identifier for the speaker.
769
+ * **audio**: Audio data.
770
+ * **text**: Text script.
771
+ * **locale**: ISO 639-2 language code.
772
+ * **gender**: Speaker gender.
773
+
774
+ ### Data Splits
775
+
776
+ For the **ASR Dataset**, the data with transcriptions is split as follows: *
777
+ **train**: 80% of labeled data. * **validation**: 10% of labeled data. *
778
+ **test**: 10% of labeled data.
779
+
780
+ The **unlabeled** split contains all samples that do not have a corresponding
781
+ transcription.
782
+
783
+ The **TTS Dataset** follows a similar structure, with data split into `train`,
784
+ `validation`, and `test` sets.
785
+
786
+ ## Dataset Curation
787
+
788
+ The data was gathered by multiple partners:
789
+
790
+ Provider | Dataset | License
791
+ :------------------ | :------------------------------------------------------- | :------
792
+ University of Ghana | [UGSpeechData](https://doi.org/10.57760/sciencedb.22298) | `CC BY 4.0`
793
+ Digital Umuganda | [AfriVoice](DigitalUmuganda/AfriVoice) | `CC-BY 4.0`
794
+ Makerere University | [Yogera Dataset](https://doi.org/10.7910/DVN/BEROE0) | `CC-BY 4.0`
795
+ Media Trust | | `CC-BY 4.0`
796
+
797
+ ## Considerations for Using the Data
798
+
799
+ Please check the license for the specific languages you are using, as they may
800
+ differ between providers.
801
+
802
+ **Affiliation:** Google Research
803
+
804
+ ## Version and Maintenance
805
+
806
+ - **Current Version:** 1.0.0
807
+ - **Last Updated:** 01/2026
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