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Update files from the datasets library (from 1.13.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.13.0

.gitattributes ADDED
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bin.* filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.zstandard filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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1
+ ---
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+ pretty_name: Common Language
3
+ annotations_creators:
4
+ - crowdsourced
5
+ language_creators:
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+ - crowdsourced
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+ languages:
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+ - ar
9
+ - br
10
+ - ca
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+ - cnh
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+ - 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
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+ - en
19
+ - eo
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+ - es
21
+ - et
22
+ - eu
23
+ - fa
24
+ - fr
25
+ - fy-NL
26
+ - ia
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+ - id
28
+ - it
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+ - ja
30
+ - ka
31
+ - kab
32
+ - ky
33
+ - lv
34
+ - mn
35
+ - mt
36
+ - nl
37
+ - pl
38
+ - pt
39
+ - rm-sursilv
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+ - ro
41
+ - ru
42
+ - rw
43
+ - sah
44
+ - sl
45
+ - sv-SE
46
+ - ta
47
+ - tr
48
+ - tt
49
+ - uk
50
+ - zh-CN
51
+ - zh-HK
52
+ - zh-TW
53
+ licenses:
54
+ - cc-by-4-0
55
+ multilinguality:
56
+ - multilingual
57
+ size_categories:
58
+ - 100K<n<1M
59
+ source_datasets:
60
+ - extended|common_voice
61
+ task_categories:
62
+ - speech-processing
63
+ task_ids:
64
+ - other-other-speech-classification
65
+ ---
66
+
67
+ # Dataset Card for common_language
68
+
69
+ ## Table of Contents
70
+ - [Dataset Description](#dataset-description)
71
+ - [Dataset Summary](#dataset-summary)
72
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
73
+ - [Languages](#languages)
74
+ - [Dataset Structure](#dataset-structure)
75
+ - [Data Instances](#data-instances)
76
+ - [Data Fields](#data-fields)
77
+ - [Data Splits](#data-splits)
78
+ - [Dataset Creation](#dataset-creation)
79
+ - [Curation Rationale](#curation-rationale)
80
+ - [Source Data](#source-data)
81
+ - [Annotations](#annotations)
82
+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
83
+ - [Considerations for Using the Data](#considerations-for-using-the-data)
84
+ - [Social Impact of Dataset](#social-impact-of-dataset)
85
+ - [Discussion of Biases](#discussion-of-biases)
86
+ - [Other Known Limitations](#other-known-limitations)
87
+ - [Additional Information](#additional-information)
88
+ - [Dataset Curators](#dataset-curators)
89
+ - [Licensing Information](#licensing-information)
90
+ - [Citation Information](#citation-information)
91
+ - [Contributions](#contributions)
92
+
93
+ ## Dataset Description
94
+
95
+ - **Homepage:** https://zenodo.org/record/5036977
96
+ - **Repository:** https://github.com/speechbrain/speechbrain/tree/develop/recipes/CommonLanguage
97
+ - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
98
+ - **Leaderboard:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
99
+ - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
100
+
101
+ ### Dataset Summary
102
+
103
+ This dataset is composed of speech recordings from languages that were carefully selected from the CommonVoice database. The total duration of audio recordings is 45.1 hours (i.e., 1 hour of material for each language). The dataset has been extracted from CommonVoice to train language-id systems.
104
+
105
+ ### Supported Tasks and Leaderboards
106
+
107
+ The baselines for language-id are available in the SpeechBrain toolkit (see recipes/CommonLanguage):
108
+ https://github.com/speechbrain/speechbrain
109
+
110
+ ### Languages
111
+
112
+ List of included languages:
113
+ ```
114
+ Arabic, Basque, Breton, Catalan, Chinese_China, Chinese_Hongkong, Chinese_Taiwan, Chuvash, Czech, Dhivehi, Dutch, English, Esperanto, Estonian, French, Frisian, Georgian, German, Greek, Hakha_Chin, Indonesian, Interlingua, Italian, Japanese, Kabyle, Kinyarwanda, Kyrgyz, Latvian, Maltese, Mongolian, Persian, Polish, Portuguese, Romanian, Romansh_Sursilvan, Russian, Sakha, Slovenian, Spanish, Swedish, Tamil, Tatar, Turkish, Ukranian, Welsh
115
+ ```
116
+
117
+ ## Dataset Structure
118
+
119
+ ### Data Instances
120
+
121
+ A typical data point comprises the `path` to the audio file, and its label `language`. Additional fields include `age`, `client_id`, `gender` and `sentence`.
122
+
123
+ ```python
124
+ {
125
+ 'client_id': 'itln_trn_sp_175',
126
+ 'path': '/path/common_voice_kpd/Italian/train/itln_trn_sp_175/common_voice_it_18279446.wav',
127
+ 'sentence': 'Con gli studenti è leggermente simile.',
128
+ 'age': 'not_defined',
129
+ 'gender': 'not_defined',
130
+ 'language': 22
131
+ }
132
+ ```
133
+
134
+ ### Data Fields
135
+
136
+ `client_id` (`string`): An id for which client (voice) made the recording
137
+
138
+ `path` (`string`): The path to the audio file
139
+
140
+ `language` (`ClassLabel`): The language of the recording (see the `Languages` section above)
141
+
142
+ `sentence` (`string`): The sentence the user was prompted to speak
143
+
144
+ `age` (`string`): The age of the speaker.
145
+
146
+ `gender` (`string`): The gender of the speaker
147
+
148
+ ### Data Splits
149
+
150
+ The dataset is already balanced and split into train, dev (validation) and test sets.
151
+
152
+ | Name | Train | Dev | Test |
153
+ |:---------------------------------:|:------:|:------:|:-----:|
154
+ | **# of utterances** | 177552 | 47104 | 47704 |
155
+ | **# unique speakers** | 11189 | 1297 | 1322 |
156
+ | **Total duration, hr** | 30.04 | 7.53 | 7.53 |
157
+ | **Min duration, sec** | 0.86 | 0.98 | 0.89 |
158
+ | **Mean duration, sec** | 4.87 | 4.61 | 4.55 |
159
+ | **Max duration, sec** | 21.72 | 105.67 | 29.83 |
160
+ | **Duration per language, min** | ~40 | ~10 | ~10 |
161
+
162
+ ## Dataset Creation
163
+
164
+ ### Curation Rationale
165
+
166
+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
167
+
168
+ ### Source Data
169
+
170
+ #### Initial Data Collection and Normalization
171
+
172
+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
173
+
174
+ #### Who are the source language producers?
175
+
176
+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
177
+
178
+ ### Annotations
179
+
180
+ #### Annotation process
181
+
182
+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
183
+
184
+ #### Who are the annotators?
185
+
186
+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
187
+
188
+ ### Personal and Sensitive Information
189
+
190
+ 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.
191
+
192
+ ## Considerations for Using the Data
193
+
194
+ ### Social Impact of Dataset
195
+
196
+ 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.
197
+
198
+ ### Discussion of Biases
199
+
200
+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
201
+
202
+ ### Other Known Limitations
203
+
204
+ The Mongolian and Ukrainian languages are spelled as "Mangolian" and "Ukranian" in this version of the dataset.
205
+
206
+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
207
+
208
+ ## Additional Information
209
+
210
+ ### Dataset Curators
211
+
212
+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
213
+
214
+ ### Licensing Information
215
+
216
+ [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
217
+
218
+ ### Citation Information
219
+
220
+ ```
221
+ @dataset{ganesh_sinisetty_2021_5036977,
222
+ author = {Ganesh Sinisetty and
223
+ Pavlo Ruban and
224
+ Oleksandr Dymov and
225
+ Mirco Ravanelli},
226
+ title = {CommonLanguage},
227
+ month = jun,
228
+ year = 2021,
229
+ publisher = {Zenodo},
230
+ version = {0.1},
231
+ doi = {10.5281/zenodo.5036977},
232
+ url = {https://doi.org/10.5281/zenodo.5036977}
233
+ }
234
+ ```
235
+
236
+ ### Contributions
237
+
238
+ Thanks to [@anton-l](https://github.com/anton-l) for adding this dataset.
common_language.py ADDED
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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 Language Dataset"""
16
+
17
+
18
+ import glob
19
+ import os
20
+
21
+ import datasets
22
+
23
+
24
+ _DATA_URL = "https://zenodo.org/record/5036977/files/CommonLanguage.tar.gz?download=1"
25
+
26
+ _CITATION = """\
27
+ @dataset{ganesh_sinisetty_2021_5036977,
28
+ author = {Ganesh Sinisetty and
29
+ Pavlo Ruban and
30
+ Oleksandr Dymov and
31
+ Mirco Ravanelli},
32
+ title = {CommonLanguage},
33
+ month = jun,
34
+ year = 2021,
35
+ publisher = {Zenodo},
36
+ version = {0.1},
37
+ doi = {10.5281/zenodo.5036977},
38
+ url = {https://doi.org/10.5281/zenodo.5036977}
39
+ }
40
+ """
41
+
42
+ _DESCRIPTION = """\
43
+ This dataset is composed of speech recordings from languages that were carefully selected from the CommonVoice database.
44
+ The total duration of audio recordings is 45.1 hours (i.e., 1 hour of material for each language).
45
+ The dataset has been extracted from CommonVoice to train language-id systems.
46
+ """
47
+
48
+ _HOMEPAGE = "https://zenodo.org/record/5036977"
49
+
50
+ _LICENSE = "https://creativecommons.org/licenses/by/4.0/legalcode"
51
+
52
+ _LANGUAGES = [
53
+ "Arabic",
54
+ "Basque",
55
+ "Breton",
56
+ "Catalan",
57
+ "Chinese_China",
58
+ "Chinese_Hongkong",
59
+ "Chinese_Taiwan",
60
+ "Chuvash",
61
+ "Czech",
62
+ "Dhivehi",
63
+ "Dutch",
64
+ "English",
65
+ "Esperanto",
66
+ "Estonian",
67
+ "French",
68
+ "Frisian",
69
+ "Georgian",
70
+ "German",
71
+ "Greek",
72
+ "Hakha_Chin",
73
+ "Indonesian",
74
+ "Interlingua",
75
+ "Italian",
76
+ "Japanese",
77
+ "Kabyle",
78
+ "Kinyarwanda",
79
+ "Kyrgyz",
80
+ "Latvian",
81
+ "Maltese",
82
+ "Mangolian",
83
+ "Persian",
84
+ "Polish",
85
+ "Portuguese",
86
+ "Romanian",
87
+ "Romansh_Sursilvan",
88
+ "Russian",
89
+ "Sakha",
90
+ "Slovenian",
91
+ "Spanish",
92
+ "Swedish",
93
+ "Tamil",
94
+ "Tatar",
95
+ "Turkish",
96
+ "Ukranian",
97
+ "Welsh",
98
+ ]
99
+
100
+
101
+ class CommonLanguage(datasets.GeneratorBasedBuilder):
102
+ VERSION = datasets.Version("0.1.0")
103
+
104
+ BUILDER_CONFIGS = [
105
+ datasets.BuilderConfig(name="full", version=VERSION, description="The entire Common Language dataset"),
106
+ ]
107
+
108
+ def _info(self):
109
+ features = datasets.Features(
110
+ {
111
+ "client_id": datasets.Value("string"),
112
+ "path": datasets.Value("string"),
113
+ "sentence": datasets.Value("string"),
114
+ "age": datasets.Value("string"),
115
+ "gender": datasets.Value("string"),
116
+ "language": datasets.ClassLabel(names=_LANGUAGES),
117
+ }
118
+ )
119
+
120
+ return datasets.DatasetInfo(
121
+ description=_DESCRIPTION,
122
+ features=features,
123
+ supervised_keys=None,
124
+ homepage=_HOMEPAGE,
125
+ license=_LICENSE,
126
+ citation=_CITATION,
127
+ )
128
+
129
+ def _split_generators(self, dl_manager):
130
+ """Returns SplitGenerators."""
131
+
132
+ dl_path = dl_manager.download_and_extract(_DATA_URL)
133
+ archive_path = os.path.join(dl_path, "common_voice_kpd")
134
+
135
+ return [
136
+ datasets.SplitGenerator(
137
+ name=datasets.Split.TRAIN,
138
+ gen_kwargs={"archive_path": archive_path, "split": "train"},
139
+ ),
140
+ datasets.SplitGenerator(
141
+ name=datasets.Split.VALIDATION,
142
+ gen_kwargs={"archive_path": archive_path, "split": "dev"},
143
+ ),
144
+ datasets.SplitGenerator(
145
+ name=datasets.Split.TEST,
146
+ gen_kwargs={"archive_path": archive_path, "split": "test"},
147
+ ),
148
+ ]
149
+
150
+ def _generate_examples(self, archive_path, split):
151
+ """Yields examples."""
152
+
153
+ csv_path_glob = os.path.join(archive_path, "**", f"{split}.csv")
154
+
155
+ key = 0
156
+ for csv_path in sorted(glob.glob(csv_path_glob)):
157
+ with open(csv_path, encoding="utf-16") as fin:
158
+ next(fin) # skip the header
159
+ for line in fin:
160
+ client_id, wav_name, sentence, age, gender = line.strip().split("\t")[1:]
161
+ language = csv_path.split(os.sep)[-2]
162
+ path = os.path.join(os.path.splitext(csv_path)[0], client_id, wav_name)
163
+
164
+ yield key, {
165
+ "client_id": client_id,
166
+ "path": path,
167
+ "sentence": sentence,
168
+ "age": age,
169
+ "gender": gender,
170
+ "language": language,
171
+ }
172
+ key += 1
dataset_infos.json ADDED
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1
+ {"full": {"description": "This dataset is composed of speech recordings from languages that were carefully selected from the CommonVoice database.\nThe total duration of audio recordings is 45.1 hours (i.e., 1 hour of material for each language).\nThe dataset has been extracted from CommonVoice to train language-id systems.\n", "citation": "@dataset{ganesh_sinisetty_2021_5036977,\n author = {Ganesh Sinisetty and\n Pavlo Ruban and\n Oleksandr Dymov and\n Mirco Ravanelli},\n title = {CommonLanguage},\n month = jun,\n year = 2021,\n publisher = {Zenodo},\n version = {0.1},\n doi = {10.5281/zenodo.5036977},\n url = {https://doi.org/10.5281/zenodo.5036977}\n}\n", "homepage": "https://zenodo.org/record/5036977", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "path": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "age": {"dtype": "string", "id": null, "_type": "Value"}, "gender": {"dtype": "string", "id": null, "_type": "Value"}, "language": {"num_classes": 45, "names": ["Arabic", "Basque", "Breton", "Catalan", "Chinese_China", "Chinese_Hongkong", "Chinese_Taiwan", "Chuvash", "Czech", "Dhivehi", "Dutch", "English", "Esperanto", "Estonian", "French", "Frisian", "Georgian", "German", "Greek", "Hakha_Chin", "Indonesian", "Interlingua", "Italian", "Japanese", "Kabyle", "Kinyarwanda", "Kyrgyz", "Latvian", "Maltese", "Mangolian", "Persian", "Polish", "Portuguese", "Romanian", "Romansh_Sursilvan", "Russian", "Sakha", "Slovenian", "Spanish", "Swedish", "Tamil", "Tatar", "Turkish", "Ukranian", "Welsh"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "common_language", "config_name": "full", "version": {"version_str": "0.1.0", "description": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 7116761, "num_examples": 22194, "dataset_name": "common_language"}, "validation": {"name": "validation", "num_bytes": 1855233, "num_examples": 5888, "dataset_name": "common_language"}, "test": {"name": "test", "num_bytes": 1877970, "num_examples": 5963, "dataset_name": "common_language"}}, "download_checksums": {"https://zenodo.org/record/5036977/files/CommonLanguage.tar.gz?download=1": {"num_bytes": 3761951178, "checksum": "94bde611700887527c223363bb1d2a22d0a5b55e0e381c5dc74ad67b06a267d7"}}, "download_size": 3761951178, "post_processing_size": null, "dataset_size": 10849964, "size_in_bytes": 3772801142}}
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