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Update files from the datasets library (from 1.5.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.5.0

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  1. .gitattributes +27 -0
  2. README.md +239 -0
  3. common_voice.py +723 -0
  4. dataset_infos.json +0 -0
  5. dummy/ab/6.1.0/dummy_data.zip +3 -0
  6. dummy/ar/6.1.0/dummy_data.zip +3 -0
  7. dummy/as/6.1.0/dummy_data.zip +3 -0
  8. dummy/br/6.1.0/dummy_data.zip +3 -0
  9. dummy/ca/6.1.0/dummy_data.zip +3 -0
  10. dummy/cnh/6.1.0/dummy_data.zip +3 -0
  11. dummy/cs/6.1.0/dummy_data.zip +3 -0
  12. dummy/cv/6.1.0/dummy_data.zip +3 -0
  13. dummy/cy/6.1.0/dummy_data.zip +3 -0
  14. dummy/de/6.1.0/dummy_data.zip +3 -0
  15. dummy/dv/6.1.0/dummy_data.zip +3 -0
  16. dummy/el/6.1.0/dummy_data.zip +3 -0
  17. dummy/en/6.1.0/dummy_data.zip +3 -0
  18. dummy/eo/6.1.0/dummy_data.zip +3 -0
  19. dummy/es/6.1.0/dummy_data.zip +3 -0
  20. dummy/et/6.1.0/dummy_data.zip +3 -0
  21. dummy/eu/6.1.0/dummy_data.zip +3 -0
  22. dummy/fa/6.1.0/dummy_data.zip +3 -0
  23. dummy/fi/6.1.0/dummy_data.zip +3 -0
  24. dummy/fr/6.1.0/dummy_data.zip +3 -0
  25. dummy/fy-NL/6.1.0/dummy_data.zip +3 -0
  26. dummy/ga-IE/6.1.0/dummy_data.zip +3 -0
  27. dummy/hi/6.1.0/dummy_data.zip +3 -0
  28. dummy/hsb/6.1.0/dummy_data.zip +3 -0
  29. dummy/hu/6.1.0/dummy_data.zip +3 -0
  30. dummy/ia/6.1.0/dummy_data.zip +3 -0
  31. dummy/id/6.1.0/dummy_data.zip +3 -0
  32. dummy/it/6.1.0/dummy_data.zip +3 -0
  33. dummy/ja/6.1.0/dummy_data.zip +3 -0
  34. dummy/ka/6.1.0/dummy_data.zip +3 -0
  35. dummy/kab/6.1.0/dummy_data.zip +3 -0
  36. dummy/ky/6.1.0/dummy_data.zip +3 -0
  37. dummy/lg/6.1.0/dummy_data.zip +3 -0
  38. dummy/lt/6.1.0/dummy_data.zip +3 -0
  39. dummy/lv/6.1.0/dummy_data.zip +3 -0
  40. dummy/mn/6.1.0/dummy_data.zip +3 -0
  41. dummy/mt/6.1.0/dummy_data.zip +3 -0
  42. dummy/nl/6.1.0/dummy_data.zip +3 -0
  43. dummy/or/6.1.0/dummy_data.zip +3 -0
  44. dummy/pa-IN/6.1.0/dummy_data.zip +3 -0
  45. dummy/pl/6.1.0/dummy_data.zip +3 -0
  46. dummy/pt/6.1.0/dummy_data.zip +3 -0
  47. dummy/rm-sursilv/6.1.0/dummy_data.zip +3 -0
  48. dummy/rm-vallader/6.1.0/dummy_data.zip +3 -0
  49. dummy/ro/6.1.0/dummy_data.zip +3 -0
  50. dummy/ru/6.1.0/dummy_data.zip +3 -0
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README.md ADDED
@@ -0,0 +1,239 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
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+ annotations_creators:
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+ - crowdsourced
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+ language_creators:
5
+ - crowdsourced
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+ languages:
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+ - "ab"
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+ - "ar"
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+ - "as"
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+ - "br"
11
+ - "ca"
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+ - "cnh"
13
+ - "cs"
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+ - "cv"
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+ - "cy"
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+ - "de"
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+ - "dv"
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+ - "el"
19
+ - "en"
20
+ - "eo"
21
+ - "es"
22
+ - "et"
23
+ - "eu"
24
+ - "fa"
25
+ - "fi"
26
+ - "fr"
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+ - "fy-NL"
28
+ - "ga-IE"
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+ - "hi"
30
+ - "hsb"
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+ - "hu"
32
+ - "ia"
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+ - "id"
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+ - "it"
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+ - "ja"
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+ - "ka"
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+ - "kab"
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+ - "ky"
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+ - "lg"
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+ - "lt"
41
+ - "lv"
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+ - "mn"
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+ - "mt"
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+ - "nl"
45
+ - "or"
46
+ - "pa-IN"
47
+ - "pl"
48
+ - "pt"
49
+ - "rm-sursilv"
50
+ - "rm-vallader"
51
+ - "ro"
52
+ - "ru"
53
+ - "rw"
54
+ - "sah"
55
+ - "sl"
56
+ - "sv-SE"
57
+ - "ta"
58
+ - "th"
59
+ - "tr"
60
+ - "tt"
61
+ - "uk"
62
+ - "vi"
63
+ - "vot"
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+ - "zh-CN"
65
+ - "zh-HK"
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+ - "zh-TW"
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+ licenses:
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+ - cc-by-nc-4-0
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+ multilinguality:
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+ - multilingual
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+ size_categories:
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+ - 100K<n<1M
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+ source_datasets:
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+ - extended|other-common-voice
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+ task_categories:
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+ - other
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+ task_ids:
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+ - other-other-automatic-speech-recognition
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+ ---
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+
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+ # Dataset Card for common_voice
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+
83
+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
85
+ - [Dataset Summary](#dataset-summary)
86
+ - [Supported Tasks](#supported-tasks-and-leaderboards)
87
+ - [Languages](#languages)
88
+ - [Dataset Structure](#dataset-structure)
89
+ - [Data Instances](#data-instances)
90
+ - [Data Fields](#data-instances)
91
+ - [Data Splits](#data-instances)
92
+ - [Dataset Creation](#dataset-creation)
93
+ - [Curation Rationale](#curation-rationale)
94
+ - [Source Data](#source-data)
95
+ - [Annotations](#annotations)
96
+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
97
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
98
+ - [Social Impact of Dataset](#social-impact-of-dataset)
99
+ - [Discussion of Biases](#discussion-of-biases)
100
+ - [Other Known Limitations](#other-known-limitations)
101
+ - [Additional Information](#additional-information)
102
+ - [Dataset Curators](#dataset-curators)
103
+ - [Licensing Information](#licensing-information)
104
+ - [Citation Information](#citation-information)
105
+
106
+ ## Dataset Description
107
+
108
+ - **Homepage:** https://commonvoice.mozilla.org/en/datasets
109
+ - **Repository:** https://github.com/common-voice/common-voice
110
+ - **Paper:** https://commonvoice.mozilla.org/en/datasets
111
+ - **Leaderboard:** [Needs More Information]
112
+ - **Point of Contact:** [Needs More Information]
113
+
114
+ ### Dataset Summary
115
+
116
+ The Common Voice dataset consists of a unique MP3 and corresponding text file. Many of the 9,283 recorded hours in the dataset also include demographic metadata like age, sex, and accent that can help train the accuracy of speech recognition engines.
117
+
118
+ The dataset currently consists of 7,335 validated hours in 60 languages, but were always adding more voices and languages. Take a look at our Languages page to request a language or start contributing.
119
+
120
+ ### Supported Tasks and Leaderboards
121
+
122
+ [Needs More Information]
123
+
124
+ ### Languages
125
+
126
+ English
127
+
128
+ ## Dataset Structure
129
+
130
+ ### Data Instances
131
+
132
+ A typical data point comprises the path to the audio file, called path and its sentence. Additional fields include accent, age, client_id, up_votes down_votes, gender, locale and segment.
133
+
134
+ `
135
+ {'accent': 'netherlands', 'age': 'fourties', 'client_id': 'bbbcb732e0f422150c30ff3654bbab572e2a617da107bca22ff8b89ab2e4f124d03b6a92c48322862f60bd0179ae07baf0f9b4f9c4e11d581e0cec70f703ba54', 'down_votes': 0, 'gender': 'male', 'locale': 'nl', 'path': 'nl/clips/common_voice_nl_23522441.mp3', 'segment': "''", 'sentence': 'Ik vind dat een dubieuze procedure.', 'up_votes': 2}
136
+ `
137
+
138
+ ### Data Fields
139
+
140
+ client_id: An id for which client (voice) made the recording
141
+
142
+ path: The path to the audio file
143
+
144
+ sentence: The sentence the user was prompted to speak
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+
146
+ up_votes: How many upvotes the audio file has received from reviewers
147
+
148
+ down_votes: How many downvotes the audio file has received from reviewers
149
+
150
+ age: The age of the speaker.
151
+
152
+ gender: The gender of the speaker
153
+
154
+ accent: Accent of the speaker
155
+
156
+ locale: The locale of the speaker
157
+
158
+ segment: Usually empty field
159
+
160
+ ### Data Splits
161
+
162
+ The speech material has been subdivided into portions for dev, train, test, validated, invalidated, reported and other.
163
+
164
+ The validated data is data that has been validated with reviewers and recieved upvotes that the data is of high quality.
165
+
166
+ The invalidated data is data has been invalidated by reviewers
167
+ and recieved downvotes that the data is of low quality.
168
+
169
+ The reported data is data that has been reported, for different reasons.
170
+
171
+ The other data is data that has not yet been reviewed.
172
+
173
+ The dev, test, train are all data that has been reviewed, deemed of high quality and split into dev, test and train.
174
+
175
+ ## Dataset Creation
176
+
177
+ ### Curation Rationale
178
+
179
+ [Needs More Information]
180
+
181
+ ### Source Data
182
+
183
+ #### Initial Data Collection and Normalization
184
+
185
+ [Needs More Information]
186
+
187
+ #### Who are the source language producers?
188
+
189
+ [Needs More Information]
190
+
191
+ ### Annotations
192
+
193
+ #### Annotation process
194
+
195
+ [Needs More Information]
196
+
197
+ #### Who are the annotators?
198
+
199
+ [Needs More Information]
200
+
201
+ ### Personal and Sensitive Information
202
+
203
+ The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
204
+
205
+ ## Considerations for Using the Data
206
+
207
+ ### Social Impact of Dataset
208
+
209
+ The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
210
+
211
+ ### Discussion of Biases
212
+
213
+ [More Information Needed]
214
+
215
+ ### Other Known Limitations
216
+
217
+ [More Information Needed]
218
+
219
+ ## Additional Information
220
+
221
+ ### Dataset Curators
222
+
223
+ [More Information Needed]
224
+
225
+ ### Licensing Information
226
+
227
+ [More Information Needed]
228
+
229
+ ### Citation Information
230
+
231
+ ```
232
+ @inproceedings{commonvoice:2020,
233
+ author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
234
+ title = {Common Voice: A Massively-Multilingual Speech Corpus},
235
+ booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
236
+ pages = {4211--4215},
237
+ year = 2020
238
+ }
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+ ```
common_voice.py ADDED
@@ -0,0 +1,723 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # coding=utf-8
2
+ # Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor.
3
+ #
4
+ # Licensed under the Apache License, Version 2.0 (the "License");
5
+ # you may not use this file except in compliance with the License.
6
+ # You may obtain a copy of the License at
7
+ #
8
+ # http://www.apache.org/licenses/LICENSE-2.0
9
+ #
10
+ # Unless required by applicable law or agreed to in writing, software
11
+ # distributed under the License is distributed on an "AS IS" BASIS,
12
+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
+ # See the License for the specific language governing permissions and
14
+ # limitations under the License.
15
+ """ Common Voice Dataset"""
16
+
17
+ from __future__ import absolute_import, division, print_function
18
+
19
+ import os
20
+
21
+ import datasets
22
+
23
+
24
+ _DATA_URL = "https://voice-prod-bundler-ee1969a6ce8178826482b88e843c335139bd3fb4.s3.amazonaws.com/cv-corpus-6.1-2020-12-11/{}.tar.gz"
25
+
26
+ _CITATION = """\
27
+ @inproceedings{commonvoice:2020,
28
+ author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},
29
+ title = {Common Voice: A Massively-Multilingual Speech Corpus},
30
+ booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
31
+ pages = {4211--4215},
32
+ year = 2020
33
+ }
34
+ """
35
+
36
+ _DESCRIPTION = """\
37
+ Common Voice is Mozilla's initiative to help teach machines how real people speak.
38
+ The dataset currently consists of 7,335 validated hours of speech in 60 languages, but we’re always adding more voices and languages.
39
+ """
40
+
41
+ _HOMEPAGE = "https://commonvoice.mozilla.org/en/datasets"
42
+
43
+ _LICENSE = "https://github.com/common-voice/common-voice/blob/main/LICENSE"
44
+
45
+ _LANGUAGES = {
46
+ "ab": {
47
+ "Language": "Abkhaz",
48
+ "Date": "2020-12-11",
49
+ "Size": "39 MB",
50
+ "Version": "ab_1h_2020-12-11",
51
+ "Validated_Hr_Total": 0.05,
52
+ "Overall_Hr_Total": 1,
53
+ "Number_Of_Voice": 14,
54
+ },
55
+ "ar": {
56
+ "Language": "Arabic",
57
+ "Date": "2020-12-11",
58
+ "Size": "2 GB",
59
+ "Version": "ar_77h_2020-12-11",
60
+ "Validated_Hr_Total": 49,
61
+ "Overall_Hr_Total": 77,
62
+ "Number_Of_Voice": 672,
63
+ },
64
+ "as": {
65
+ "Language": "Assamese",
66
+ "Date": "2020-12-11",
67
+ "Size": "21 MB",
68
+ "Version": "as_0.78h_2020-12-11",
69
+ "Validated_Hr_Total": 0.74,
70
+ "Overall_Hr_Total": 0.78,
71
+ "Number_Of_Voice": 17,
72
+ },
73
+ "br": {
74
+ "Language": "Breton",
75
+ "Date": "2020-12-11",
76
+ "Size": "444 MB",
77
+ "Version": "br_16h_2020-12-11",
78
+ "Validated_Hr_Total": 7,
79
+ "Overall_Hr_Total": 16,
80
+ "Number_Of_Voice": 157,
81
+ },
82
+ "ca": {
83
+ "Language": "Catalan",
84
+ "Date": "2020-12-11",
85
+ "Size": "19 GB",
86
+ "Version": "ca_748h_2020-12-11",
87
+ "Validated_Hr_Total": 623,
88
+ "Overall_Hr_Total": 748,
89
+ "Number_Of_Voice": 5376,
90
+ },
91
+ "cnh": {
92
+ "Language": "Hakha Chin",
93
+ "Date": "2020-12-11",
94
+ "Size": "39 MB",
95
+ "Version": "ab_1h_2020-12-11",
96
+ "Validated_Hr_Total": 0.05,
97
+ "Overall_Hr_Total": 1,
98
+ "Number_Of_Voice": 14,
99
+ },
100
+ "cs": {
101
+ "Language": "Czech",
102
+ "Date": "2020-12-11",
103
+ "Size": "39 MB",
104
+ "Version": "ab_1h_2020-12-11",
105
+ "Validated_Hr_Total": 0.05,
106
+ "Overall_Hr_Total": 1,
107
+ "Number_Of_Voice": 14,
108
+ },
109
+ "cv": {
110
+ "Language": "Chuvash",
111
+ "Date": "2020-12-11",
112
+ "Size": "419 MB",
113
+ "Version": "cv_16h_2020-12-11",
114
+ "Validated_Hr_Total": 4,
115
+ "Overall_Hr_Total": 16,
116
+ "Number_Of_Voice": 92,
117
+ },
118
+ "cy": {
119
+ "Language": "Welsh",
120
+ "Date": "2020-12-11",
121
+ "Size": "3 GB",
122
+ "Version": "cy_124h_2020-12-11",
123
+ "Validated_Hr_Total": 95,
124
+ "Overall_Hr_Total": 124,
125
+ "Number_Of_Voice": 1382,
126
+ },
127
+ "de": {
128
+ "Language": "German",
129
+ "Date": "2020-12-11",
130
+ "Size": "22 GB",
131
+ "Version": "de_836h_2020-12-11",
132
+ "Validated_Hr_Total": 777,
133
+ "Overall_Hr_Total": 836,
134
+ "Number_Of_Voice": 12659,
135
+ },
136
+ "dv": {
137
+ "Language": "Dhivehi",
138
+ "Date": "2020-12-11",
139
+ "Size": "515 MB",
140
+ "Version": "dv_19h_2020-12-11",
141
+ "Validated_Hr_Total": 18,
142
+ "Overall_Hr_Total": 19,
143
+ "Number_Of_Voice": 167,
144
+ },
145
+ "el": {
146
+ "Language": "Greek",
147
+ "Date": "2020-12-11",
148
+ "Size": "364 MB",
149
+ "Version": "el_13h_2020-12-11",
150
+ "Validated_Hr_Total": 6,
151
+ "Overall_Hr_Total": 13,
152
+ "Number_Of_Voice": 118,
153
+ },
154
+ "en": {
155
+ "Language": "English",
156
+ "Date": "2020-12-11",
157
+ "Size": "56 GB",
158
+ "Version": "en_2181h_2020-12-11",
159
+ "Validated_Hr_Total": 1686,
160
+ "Overall_Hr_Total": 2181,
161
+ "Number_Of_Voice": 66173,
162
+ },
163
+ "eo": {
164
+ "Language": "Esperanto",
165
+ "Date": "2020-12-11",
166
+ "Size": "3 GB",
167
+ "Version": "eo_102h_2020-12-11",
168
+ "Validated_Hr_Total": 90,
169
+ "Overall_Hr_Total": 102,
170
+ "Number_Of_Voice": 574,
171
+ },
172
+ "es": {
173
+ "Language": "Spanish",
174
+ "Date": "2020-12-11",
175
+ "Size": "15 GB",
176
+ "Version": "es_579h_2020-12-11",
177
+ "Validated_Hr_Total": 324,
178
+ "Overall_Hr_Total": 579,
179
+ "Number_Of_Voice": 19484,
180
+ },
181
+ "et": {
182
+ "Language": "Estonian",
183
+ "Date": "2020-12-11",
184
+ "Size": "732 MB",
185
+ "Version": "et_27h_2020-12-11",
186
+ "Validated_Hr_Total": 19,
187
+ "Overall_Hr_Total": 27,
188
+ "Number_Of_Voice": 543,
189
+ },
190
+ "eu": {
191
+ "Language": "Basque",
192
+ "Date": "2020-12-11",
193
+ "Size": "3 GB",
194
+ "Version": "eu_131h_2020-12-11",
195
+ "Validated_Hr_Total": 89,
196
+ "Overall_Hr_Total": 131,
197
+ "Number_Of_Voice": 1028,
198
+ },
199
+ "fa": {
200
+ "Language": "Persian",
201
+ "Date": "2020-12-11",
202
+ "Size": "8 GB",
203
+ "Version": "fa_321h_2020-12-11",
204
+ "Validated_Hr_Total": 282,
205
+ "Overall_Hr_Total": 321,
206
+ "Number_Of_Voice": 3655,
207
+ },
208
+ "fi": {
209
+ "Language": "Finnish",
210
+ "Date": "2020-12-11",
211
+ "Size": "48 MB",
212
+ "Version": "fi_1h_2020-12-11",
213
+ "Validated_Hr_Total": 1,
214
+ "Overall_Hr_Total": 1,
215
+ "Number_Of_Voice": 27,
216
+ },
217
+ "fr": {
218
+ "Language": "French",
219
+ "Date": "2020-12-11",
220
+ "Size": "18 GB",
221
+ "Version": "fr_682h_2020-12-11",
222
+ "Validated_Hr_Total": 623,
223
+ "Overall_Hr_Total": 682,
224
+ "Number_Of_Voice": 12953,
225
+ },
226
+ "fy-NL": {
227
+ "Language": "Frisian",
228
+ "Date": "2020-12-11",
229
+ "Size": "1 GB",
230
+ "Version": "fy-NL_46h_2020-12-11",
231
+ "Validated_Hr_Total": 14,
232
+ "Overall_Hr_Total": 46,
233
+ "Number_Of_Voice": 467,
234
+ },
235
+ "ga-IE": {
236
+ "Language": "Irish",
237
+ "Date": "2020-12-11",
238
+ "Size": "149 MB",
239
+ "Version": "ga-IE_5h_2020-12-11",
240
+ "Validated_Hr_Total": 3,
241
+ "Overall_Hr_Total": 5,
242
+ "Number_Of_Voice": 101,
243
+ },
244
+ "hi": {
245
+ "Language": "Hindi",
246
+ "Date": "2020-12-11",
247
+ "Size": "20 MB",
248
+ "Version": "hi_0.8h_2020-12-11",
249
+ "Validated_Hr_Total": 0.54,
250
+ "Overall_Hr_Total": 0.8,
251
+ "Number_Of_Voice": 31,
252
+ },
253
+ "hsb": {
254
+ "Language": "Sorbian, Upper",
255
+ "Date": "2020-12-11",
256
+ "Size": "76 MB",
257
+ "Version": "hsb_2h_2020-12-11",
258
+ "Validated_Hr_Total": 2,
259
+ "Overall_Hr_Total": 2,
260
+ "Number_Of_Voice": 19,
261
+ },
262
+ "hu": {
263
+ "Language": "Hungarian",
264
+ "Date": "2020-12-11",
265
+ "Size": "232 MB",
266
+ "Version": "hu_8h_2020-12-11",
267
+ "Validated_Hr_Total": 8,
268
+ "Overall_Hr_Total": 8,
269
+ "Number_Of_Voice": 47,
270
+ },
271
+ "ia": {
272
+ "Language": "InterLinguia",
273
+ "Date": "2020-12-11",
274
+ "Size": "216 MB",
275
+ "Version": "ia_8h_2020-12-11",
276
+ "Validated_Hr_Total": 6,
277
+ "Overall_Hr_Total": 8,
278
+ "Number_Of_Voice": 36,
279
+ },
280
+ "id": {
281
+ "Language": "Indonesian",
282
+ "Date": "2020-12-11",
283
+ "Size": "454 MB",
284
+ "Version": "id_17h_2020-12-11",
285
+ "Validated_Hr_Total": 9,
286
+ "Overall_Hr_Total": 17,
287
+ "Number_Of_Voice": 219,
288
+ },
289
+ "it": {
290
+ "Language": "Italian",
291
+ "Date": "2020-12-11",
292
+ "Size": "5 GB",
293
+ "Version": "it_199h_2020-12-11",
294
+ "Validated_Hr_Total": 158,
295
+ "Overall_Hr_Total": 199,
296
+ "Number_Of_Voice": 5729,
297
+ },
298
+ "ja": {
299
+ "Language": "Japanese",
300
+ "Date": "2020-12-11",
301
+ "Size": "146 MB",
302
+ "Version": "ja_5h_2020-12-11",
303
+ "Validated_Hr_Total": 3,
304
+ "Overall_Hr_Total": 5,
305
+ "Number_Of_Voice": 235,
306
+ },
307
+ "ka": {
308
+ "Language": "Georgian",
309
+ "Date": "2020-12-11",
310
+ "Size": "99 MB",
311
+ "Version": "ka_3h_2020-12-11",
312
+ "Validated_Hr_Total": 3,
313
+ "Overall_Hr_Total": 3,
314
+ "Number_Of_Voice": 44,
315
+ },
316
+ "kab": {
317
+ "Language": "Kabyle",
318
+ "Date": "2020-12-11",
319
+ "Size": "16 GB",
320
+ "Version": "kab_622h_2020-12-11",
321
+ "Validated_Hr_Total": 525,
322
+ "Overall_Hr_Total": 622,
323
+ "Number_Of_Voice": 1309,
324
+ },
325
+ "ky": {
326
+ "Language": "Kyrgyz",
327
+ "Date": "2020-12-11",
328
+ "Size": "553 MB",
329
+ "Version": "ky_22h_2020-12-11",
330
+ "Validated_Hr_Total": 11,
331
+ "Overall_Hr_Total": 22,
332
+ "Number_Of_Voice": 134,
333
+ },
334
+ "lg": {
335
+ "Language": "Luganda",
336
+ "Date": "2020-12-11",
337
+ "Size": "199 MB",
338
+ "Version": "lg_8h_2020-12-11",
339
+ "Validated_Hr_Total": 3,
340
+ "Overall_Hr_Total": 8,
341
+ "Number_Of_Voice": 76,
342
+ },
343
+ "lt": {
344
+ "Language": "Lithuanian",
345
+ "Date": "2020-12-11",
346
+ "Size": "129 MB",
347
+ "Version": "lt_4h_2020-12-11",
348
+ "Validated_Hr_Total": 2,
349
+ "Overall_Hr_Total": 4,
350
+ "Number_Of_Voice": 30,
351
+ },
352
+ "lv": {
353
+ "Language": "Latvian",
354
+ "Date": "2020-12-11",
355
+ "Size": "199 MB",
356
+ "Version": "lv_7h_2020-12-11",
357
+ "Validated_Hr_Total": 6,
358
+ "Overall_Hr_Total": 7,
359
+ "Number_Of_Voice": 99,
360
+ },
361
+ "mn": {
362
+ "Language": "Mongolian",
363
+ "Date": "2020-12-11",
364
+ "Size": "464 MB",
365
+ "Version": "mn_17h_2020-12-11",
366
+ "Validated_Hr_Total": 11,
367
+ "Overall_Hr_Total": 17,
368
+ "Number_Of_Voice": 376,
369
+ },
370
+ "mt": {
371
+ "Language": "Maltese",
372
+ "Date": "2020-12-11",
373
+ "Size": "405 MB",
374
+ "Version": "mt_15h_2020-12-11",
375
+ "Validated_Hr_Total": 7,
376
+ "Overall_Hr_Total": 15,
377
+ "Number_Of_Voice": 171,
378
+ },
379
+ "nl": {
380
+ "Language": "Dutch",
381
+ "Date": "2020-12-11",
382
+ "Size": "2 GB",
383
+ "Version": "nl_63h_2020-12-11",
384
+ "Validated_Hr_Total": 59,
385
+ "Overall_Hr_Total": 63,
386
+ "Number_Of_Voice": 1012,
387
+ },
388
+ "or": {
389
+ "Language": "Odia",
390
+ "Date": "2020-12-11",
391
+ "Size": "190 MB",
392
+ "Version": "or_7h_2020-12-11",
393
+ "Validated_Hr_Total": 0.87,
394
+ "Overall_Hr_Total": 7,
395
+ "Number_Of_Voice": 34,
396
+ },
397
+ "pa-IN": {
398
+ "Language": "Punjabi",
399
+ "Date": "2020-12-11",
400
+ "Size": "67 MB",
401
+ "Version": "pa-IN_2h_2020-12-11",
402
+ "Validated_Hr_Total": 0.5,
403
+ "Overall_Hr_Total": 2,
404
+ "Number_Of_Voice": 26,
405
+ },
406
+ "pl": {
407
+ "Language": "Polish",
408
+ "Date": "2020-12-11",
409
+ "Size": "3 GB",
410
+ "Version": "pl_129h_2020-12-11",
411
+ "Validated_Hr_Total": 108,
412
+ "Overall_Hr_Total": 129,
413
+ "Number_Of_Voice": 2647,
414
+ },
415
+ "pt": {
416
+ "Language": "Portuguese",
417
+ "Date": "2020-12-11",
418
+ "Size": "2 GB",
419
+ "Version": "pt_63h_2020-12-11",
420
+ "Validated_Hr_Total": 50,
421
+ "Overall_Hr_Total": 63,
422
+ "Number_Of_Voice": 1120,
423
+ },
424
+ "rm-sursilv": {
425
+ "Language": "Romansh Sursilvan",
426
+ "Date": "2020-12-11",
427
+ "Size": "263 MB",
428
+ "Version": "rm-sursilv_9h_2020-12-11",
429
+ "Validated_Hr_Total": 5,
430
+ "Overall_Hr_Total": 9,
431
+ "Number_Of_Voice": 78,
432
+ },
433
+ "rm-vallader": {
434
+ "Language": "Romansh Vallader",
435
+ "Date": "2020-12-11",
436
+ "Size": "103 MB",
437
+ "Version": "rm-vallader_3h_2020-12-11",
438
+ "Validated_Hr_Total": 2,
439
+ "Overall_Hr_Total": 3,
440
+ "Number_Of_Voice": 39,
441
+ },
442
+ "ro": {
443
+ "Language": "Romanian",
444
+ "Date": "2020-12-11",
445
+ "Size": "250 MB",
446
+ "Version": "ro_9h_2020-12-11",
447
+ "Validated_Hr_Total": 6,
448
+ "Overall_Hr_Total": 9,
449
+ "Number_Of_Voice": 130,
450
+ },
451
+ "ru": {
452
+ "Language": "Russian",
453
+ "Date": "2020-12-11",
454
+ "Size": "3 GB",
455
+ "Version": "ru_130h_2020-12-11",
456
+ "Validated_Hr_Total": 111,
457
+ "Overall_Hr_Total": 130,
458
+ "Number_Of_Voice": 1412,
459
+ },
460
+ "rw": {
461
+ "Language": "Kinyarwanda",
462
+ "Date": "2020-12-11",
463
+ "Size": "40 GB",
464
+ "Version": "rw_1510h_2020-12-11",
465
+ "Validated_Hr_Total": 1183,
466
+ "Overall_Hr_Total": 1510,
467
+ "Number_Of_Voice": 410,
468
+ },
469
+ "sah": {
470
+ "Language": "Sakha",
471
+ "Date": "2020-12-11",
472
+ "Size": "173 MB",
473
+ "Version": "sah_6h_2020-12-11",
474
+ "Validated_Hr_Total": 4,
475
+ "Overall_Hr_Total": 6,
476
+ "Number_Of_Voice": 42,
477
+ },
478
+ "sl": {
479
+ "Language": "Slovenian",
480
+ "Date": "2020-12-11",
481
+ "Size": "212 MB",
482
+ "Version": "sl_7h_2020-12-11",
483
+ "Validated_Hr_Total": 5,
484
+ "Overall_Hr_Total": 7,
485
+ "Number_Of_Voice": 82,
486
+ },
487
+ "sv-SE": {
488
+ "Language": "Swedish",
489
+ "Date": "2020-12-11",
490
+ "Size": "402 MB",
491
+ "Version": "sv-SE_15h_2020-12-11",
492
+ "Validated_Hr_Total": 12,
493
+ "Overall_Hr_Total": 15,
494
+ "Number_Of_Voice": 222,
495
+ },
496
+ "ta": {
497
+ "Language": "Tamil",
498
+ "Date": "2020-12-11",
499
+ "Size": "648 MB",
500
+ "Version": "ta_24h_2020-12-11",
501
+ "Validated_Hr_Total": 14,
502
+ "Overall_Hr_Total": 24,
503
+ "Number_Of_Voice": 266,
504
+ },
505
+ "th": {
506
+ "Language": "Thai",
507
+ "Date": "2020-12-11",
508
+ "Size": "325 MB",
509
+ "Version": "th_12h_2020-12-11",
510
+ "Validated_Hr_Total": 8,
511
+ "Overall_Hr_Total": 12,
512
+ "Number_Of_Voice": 182,
513
+ },
514
+ "tr": {
515
+ "Language": "Turkish",
516
+ "Date": "2020-12-11",
517
+ "Size": "592 MB",
518
+ "Version": "tr_22h_2020-12-11",
519
+ "Validated_Hr_Total": 20,
520
+ "Overall_Hr_Total": 22,
521
+ "Number_Of_Voice": 678,
522
+ },
523
+ "tt": {
524
+ "Language": "Tatar",
525
+ "Date": "2020-12-11",
526
+ "Size": "741 MB",
527
+ "Version": "tt_28h_2020-12-11",
528
+ "Validated_Hr_Total": 26,
529
+ "Overall_Hr_Total": 28,
530
+ "Number_Of_Voice": 185,
531
+ },
532
+ "uk": {
533
+ "Language": "Ukrainian",
534
+ "Date": "2020-12-11",
535
+ "Size": "1 GB",
536
+ "Version": "uk_43h_2020-12-11",
537
+ "Validated_Hr_Total": 30,
538
+ "Overall_Hr_Total": 43,
539
+ "Number_Of_Voice": 459,
540
+ },
541
+ "vi": {
542
+ "Language": "Vietnamese",
543
+ "Date": "2020-12-11",
544
+ "Size": "50 MB",
545
+ "Version": "vi_1h_2020-12-11",
546
+ "Validated_Hr_Total": 0.74,
547
+ "Overall_Hr_Total": 1,
548
+ "Number_Of_Voice": 62,
549
+ },
550
+ "vot": {
551
+ "Language": "Votic",
552
+ "Date": "2020-12-11",
553
+ "Size": "7 MB",
554
+ "Version": "vot_0.28h_2020-12-11",
555
+ "Validated_Hr_Total": 0,
556
+ "Overall_Hr_Total": 0.28,
557
+ "Number_Of_Voice": 3,
558
+ },
559
+ "zh-CN": {
560
+ "Language": "Chinese (China)",
561
+ "Date": "2020-12-11",
562
+ "Size": "2 GB",
563
+ "Version": "zh-CN_78h_2020-12-11",
564
+ "Validated_Hr_Total": 56,
565
+ "Overall_Hr_Total": 78,
566
+ "Number_Of_Voice": 3501,
567
+ },
568
+ "zh-HK": {
569
+ "Language": "Chinese (Hong Kong)",
570
+ "Date": "2020-12-11",
571
+ "Size": "3 GB",
572
+ "Version": "zh-HK_100h_2020-12-11",
573
+ "Validated_Hr_Total": 50,
574
+ "Overall_Hr_Total": 100,
575
+ "Number_Of_Voice": 2536,
576
+ },
577
+ "zh-TW": {
578
+ "Language": "Chinese (Taiwan)",
579
+ "Date": "2020-12-11",
580
+ "Size": "2 GB",
581
+ "Version": "zh-TW_78h_2020-12-11",
582
+ "Validated_Hr_Total": 55,
583
+ "Overall_Hr_Total": 78,
584
+ "Number_Of_Voice": 1444,
585
+ },
586
+ }
587
+
588
+
589
+ class CommonVoiceConfig(datasets.BuilderConfig):
590
+ """BuilderConfig for CommonVoice."""
591
+
592
+ def __init__(self, name, sub_version, **kwargs):
593
+ """
594
+ Args:
595
+ data_dir: `string`, the path to the folder containing the files in the
596
+ downloaded .tar
597
+ citation: `string`, citation for the data set
598
+ url: `string`, url for information about the data set
599
+ **kwargs: keyword arguments forwarded to super.
600
+ """
601
+ self.sub_version = sub_version
602
+ self.language = kwargs.pop("language", None)
603
+ self.date_of_snapshot = kwargs.pop("date", None)
604
+ self.size = kwargs.pop("size", None)
605
+ self.validated_hr_total = kwargs.pop("val_hrs", None)
606
+ self.total_hr_total = kwargs.pop("total_hrs", None)
607
+ self.num_of_voice = kwargs.pop("num_of_voice", None)
608
+ description = f"Common Voice speech to text dataset in {self.language} version {self.sub_version} of {self.date_of_snapshot}. The dataset comprises {self.validated_hr_total} of validated transcribed speech data from {self.num_of_voice} speakers. The dataset has a size of {self.size}"
609
+ super(CommonVoiceConfig, self).__init__(
610
+ name=name, version=datasets.Version("6.1.0", ""), description=description, **kwargs
611
+ )
612
+
613
+
614
+ class CommonVoice(datasets.GeneratorBasedBuilder):
615
+
616
+ BUILDER_CONFIGS = [
617
+ CommonVoiceConfig(
618
+ name=lang_id,
619
+ language=_LANGUAGES[lang_id]["Language"],
620
+ sub_version=_LANGUAGES[lang_id]["Version"],
621
+ date=_LANGUAGES[lang_id]["Date"],
622
+ size=_LANGUAGES[lang_id]["Size"],
623
+ val_hrs=_LANGUAGES[lang_id]["Validated_Hr_Total"],
624
+ total_hrs=_LANGUAGES[lang_id]["Overall_Hr_Total"],
625
+ num_of_voice=_LANGUAGES[lang_id]["Number_Of_Voice"],
626
+ )
627
+ for lang_id in _LANGUAGES.keys()
628
+ ]
629
+
630
+ def _info(self):
631
+ features = datasets.Features(
632
+ {
633
+ "client_id": datasets.Value("string"),
634
+ "path": datasets.Value("string"),
635
+ "sentence": datasets.Value("string"),
636
+ "up_votes": datasets.Value("int64"),
637
+ "down_votes": datasets.Value("int64"),
638
+ "age": datasets.Value("string"),
639
+ "gender": datasets.Value("string"),
640
+ "accent": datasets.Value("string"),
641
+ "locale": datasets.Value("string"),
642
+ "segment": datasets.Value("string"),
643
+ }
644
+ )
645
+
646
+ return datasets.DatasetInfo(
647
+ description=_DESCRIPTION,
648
+ features=features,
649
+ supervised_keys=None,
650
+ homepage=_HOMEPAGE,
651
+ license=_LICENSE,
652
+ citation=_CITATION,
653
+ )
654
+
655
+ def _split_generators(self, dl_manager):
656
+ """Returns SplitGenerators."""
657
+ dl_path = dl_manager.download_and_extract(_DATA_URL.format(self.config.name))
658
+ abs_path_to_data = os.path.join(dl_path, "cv-corpus-6.1-2020-12-11", self.config.name)
659
+ abs_path_to_clips = os.path.join(abs_path_to_data, "clips")
660
+
661
+ return [
662
+ datasets.SplitGenerator(
663
+ name=datasets.Split.TRAIN,
664
+ gen_kwargs={
665
+ "filepath": os.path.join(abs_path_to_data, "train.tsv"),
666
+ "path_to_clips": abs_path_to_clips,
667
+ },
668
+ ),
669
+ datasets.SplitGenerator(
670
+ name=datasets.Split.TEST,
671
+ gen_kwargs={
672
+ "filepath": os.path.join(abs_path_to_data, "test.tsv"),
673
+ "path_to_clips": abs_path_to_clips,
674
+ },
675
+ ),
676
+ datasets.SplitGenerator(
677
+ name=datasets.Split.VALIDATION,
678
+ gen_kwargs={
679
+ "filepath": os.path.join(abs_path_to_data, "dev.tsv"),
680
+ "path_to_clips": abs_path_to_clips,
681
+ },
682
+ ),
683
+ datasets.SplitGenerator(
684
+ name="other",
685
+ gen_kwargs={
686
+ "filepath": os.path.join(abs_path_to_data, "other.tsv"),
687
+ "path_to_clips": abs_path_to_clips,
688
+ },
689
+ ),
690
+ datasets.SplitGenerator(
691
+ name="invalidated",
692
+ gen_kwargs={
693
+ "filepath": os.path.join(abs_path_to_data, "invalidated.tsv"),
694
+ "path_to_clips": abs_path_to_clips,
695
+ },
696
+ ),
697
+ ]
698
+
699
+ def _generate_examples(self, filepath, path_to_clips):
700
+ """ Yields examples. """
701
+ data_fields = list(self._info().features.keys())
702
+ path_idx = data_fields.index("path")
703
+
704
+ with open(filepath, encoding="utf-8") as f:
705
+ lines = f.readlines()
706
+ headline = lines[0]
707
+
708
+ column_names = headline.strip().split("\t")
709
+ assert (
710
+ column_names == data_fields
711
+ ), f"The file should have {data_fields} as column names, but has {column_names}"
712
+
713
+ for id_, line in enumerate(lines[1:]):
714
+ field_values = line.strip().split("\t")
715
+
716
+ # set absolute path for mp3 audio file
717
+ field_values[path_idx] = os.path.join(path_to_clips, field_values[path_idx])
718
+
719
+ # if data is incomplete, fill with empty values
720
+ if len(field_values) < len(data_fields):
721
+ field_values += (len(data_fields) - len(field_values)) * ["''"]
722
+
723
+ yield id_, {key: value for key, value in zip(data_fields, field_values)}
dataset_infos.json ADDED
The diff for this file is too large to render. See raw diff
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