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README.md DELETED
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- ---
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- pretty_name: Common Voice
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- annotations_creators:
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- - crowdsourced
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- language_creators:
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- - crowdsourced
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- language:
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- - ab
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- - ar
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- - as
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- - br
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- - ca
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- - cnh
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- - cs
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- - cy
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- - de
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- - el
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- - en
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- - eo
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- - es
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- - eu
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- - fi
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- - fr
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- - ga
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- - lg
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- - mn
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- - nl
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- - sv-SE
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- - zh-CN
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- - zh-HK
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- - zh-TW
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- license:
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- - cc0-1.0
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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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- - 10K<n<100K
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- - 1K<n<10K
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- - n<1K
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- source_datasets:
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- - extended|common_voice
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- task_categories:
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- - automatic-speech-recognition
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- task_ids: []
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- paperswithcode_id: common-voice
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2873
- dtype: string
2874
- - name: audio
2875
- dtype:
2876
- audio:
2877
- sampling_rate: 48000
2878
- - name: sentence
2879
- dtype: string
2880
- - name: up_votes
2881
- dtype: int64
2882
- - name: down_votes
2883
- dtype: int64
2884
- - name: age
2885
- dtype: string
2886
- - name: gender
2887
- dtype: string
2888
- - name: accent
2889
- dtype: string
2890
- - name: locale
2891
- dtype: string
2892
- - name: segment
2893
- dtype: string
2894
- splits:
2895
- - name: train
2896
- num_bytes: 221459521
2897
- num_examples: 7506
2898
- - name: test
2899
- num_bytes: 217627041
2900
- num_examples: 5172
2901
- - name: validation
2902
- num_bytes: 196071110
2903
- num_examples: 5172
2904
- - name: other
2905
- num_bytes: 1319233252
2906
- num_examples: 38830
2907
- - name: validated
2908
- num_bytes: 1482087591
2909
- num_examples: 41835
2910
- - name: invalidated
2911
- num_bytes: 124170969
2912
- num_examples: 2999
2913
- download_size: 2774145806
2914
- dataset_size: 3560649484
2915
- - config_name: zh-TW
2916
- features:
2917
- - name: client_id
2918
- dtype: string
2919
- - name: path
2920
- dtype: string
2921
- - name: audio
2922
- dtype:
2923
- audio:
2924
- sampling_rate: 48000
2925
- - name: sentence
2926
- dtype: string
2927
- - name: up_votes
2928
- dtype: int64
2929
- - name: down_votes
2930
- dtype: int64
2931
- - name: age
2932
- dtype: string
2933
- - name: gender
2934
- dtype: string
2935
- - name: accent
2936
- dtype: string
2937
- - name: locale
2938
- dtype: string
2939
- - name: segment
2940
- dtype: string
2941
- splits:
2942
- - name: train
2943
- num_bytes: 97323787
2944
- num_examples: 3507
2945
- - name: test
2946
- num_bytes: 85512325
2947
- num_examples: 2895
2948
- - name: validation
2949
- num_bytes: 80402637
2950
- num_examples: 2895
2951
- - name: other
2952
- num_bytes: 623801957
2953
- num_examples: 22477
2954
- - name: validated
2955
- num_bytes: 1568842090
2956
- num_examples: 61232
2957
- - name: invalidated
2958
- num_bytes: 100241443
2959
- num_examples: 3584
2960
- download_size: 2182836295
2961
- dataset_size: 2556124239
2962
- ---
2963
-
2964
- # Dataset Card for common_voice
2965
-
2966
- ## Table of Contents
2967
- - [Dataset Description](#dataset-description)
2968
- - [Dataset Summary](#dataset-summary)
2969
- - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
2970
- - [Languages](#languages)
2971
- - [Dataset Structure](#dataset-structure)
2972
- - [Data Instances](#data-instances)
2973
- - [Data Fields](#data-fields)
2974
- - [Data Splits](#data-splits)
2975
- - [Dataset Creation](#dataset-creation)
2976
- - [Curation Rationale](#curation-rationale)
2977
- - [Source Data](#source-data)
2978
- - [Annotations](#annotations)
2979
- - [Personal and Sensitive Information](#personal-and-sensitive-information)
2980
- - [Considerations for Using the Data](#considerations-for-using-the-data)
2981
- - [Social Impact of Dataset](#social-impact-of-dataset)
2982
- - [Discussion of Biases](#discussion-of-biases)
2983
- - [Other Known Limitations](#other-known-limitations)
2984
- - [Additional Information](#additional-information)
2985
- - [Dataset Curators](#dataset-curators)
2986
- - [Licensing Information](#licensing-information)
2987
- - [Citation Information](#citation-information)
2988
- - [Contributions](#contributions)
2989
-
2990
- ## Dataset Description
2991
-
2992
- - **Homepage:** https://commonvoice.mozilla.org/en/datasets
2993
- - **Repository:** https://github.com/common-voice/common-voice
2994
- - **Paper:** https://commonvoice.mozilla.org/en/datasets
2995
- - **Leaderboard:** [Needs More Information]
2996
- - **Point of Contact:** [Needs More Information]
2997
-
2998
- ### Dataset Summary
2999
-
3000
- 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.
3001
-
3002
- 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.
3003
-
3004
- ### Supported Tasks and Leaderboards
3005
-
3006
- [Needs More Information]
3007
-
3008
- ### Languages
3009
-
3010
- English
3011
-
3012
- ## Dataset Structure
3013
-
3014
- ### Data Instances
3015
-
3016
- 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.
3017
-
3018
- `
3019
- {'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, 'audio': {'path': `nl/clips/common_voice_nl_23522441.mp3', 'array': array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32), 'sampling_rate': 48000}
3020
- `
3021
-
3022
- ### Data Fields
3023
-
3024
- client_id: An id for which client (voice) made the recording
3025
-
3026
- path: The path to the audio file
3027
-
3028
- audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, *i.e.* `dataset[0]["audio"]` should **always** be preferred over `dataset["audio"][0]`.
3029
-
3030
- sentence: The sentence the user was prompted to speak
3031
-
3032
- up_votes: How many upvotes the audio file has received from reviewers
3033
-
3034
- down_votes: How many downvotes the audio file has received from reviewers
3035
-
3036
- age: The age of the speaker.
3037
-
3038
- gender: The gender of the speaker
3039
-
3040
- accent: Accent of the speaker
3041
-
3042
- locale: The locale of the speaker
3043
-
3044
- segment: Usually empty field
3045
-
3046
- ### Data Splits
3047
-
3048
- The speech material has been subdivided into portions for dev, train, test, validated, invalidated, reported and other.
3049
-
3050
- The validated data is data that has been validated with reviewers and recieved upvotes that the data is of high quality.
3051
-
3052
- The invalidated data is data has been invalidated by reviewers
3053
- and recieved downvotes that the data is of low quality.
3054
-
3055
- The reported data is data that has been reported, for different reasons.
3056
-
3057
- The other data is data that has not yet been reviewed.
3058
-
3059
- The dev, test, train are all data that has been reviewed, deemed of high quality and split into dev, test and train.
3060
-
3061
- ## Dataset Creation
3062
-
3063
- ### Curation Rationale
3064
-
3065
- [Needs More Information]
3066
-
3067
- ### Source Data
3068
-
3069
- #### Initial Data Collection and Normalization
3070
-
3071
- [Needs More Information]
3072
-
3073
- #### Who are the source language producers?
3074
-
3075
- [Needs More Information]
3076
-
3077
- ### Annotations
3078
-
3079
- #### Annotation process
3080
-
3081
- [Needs More Information]
3082
-
3083
- #### Who are the annotators?
3084
-
3085
- [Needs More Information]
3086
-
3087
- ### Personal and Sensitive Information
3088
-
3089
- 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.
3090
-
3091
- ## Considerations for Using the Data
3092
-
3093
- ### Social Impact of Dataset
3094
-
3095
- 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.
3096
-
3097
- ### Discussion of Biases
3098
-
3099
- [More Information Needed]
3100
-
3101
- ### Other Known Limitations
3102
-
3103
- [More Information Needed]
3104
-
3105
- ## Additional Information
3106
-
3107
- ### Dataset Curators
3108
-
3109
- [More Information Needed]
3110
-
3111
- ### Licensing Information
3112
-
3113
- Public Domain, [CC-0](https://creativecommons.org/share-your-work/public-domain/cc0/)
3114
-
3115
- ### Citation Information
3116
-
3117
- ```
3118
- @inproceedings{commonvoice:2020,
3119
- 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.},
3120
- title = {Common Voice: A Massively-Multilingual Speech Corpus},
3121
- booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},
3122
- pages = {4211--4215},
3123
- year = 2020
3124
- }
3125
- ```
3126
-
3127
- ### Contributions
3128
-
3129
- Thanks to [@BirgerMoell](https://github.com/BirgerMoell) for adding this dataset.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
common_voice.py DELETED
@@ -1,800 +0,0 @@
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
-
18
- import os
19
-
20
- import datasets
21
- from datasets.tasks import AutomaticSpeechRecognition
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
- DEFAULT_WRITER_BATCH_SIZE = 1000
617
- BUILDER_CONFIGS = [
618
- CommonVoiceConfig(
619
- name=lang_id,
620
- language=_LANGUAGES[lang_id]["Language"],
621
- sub_version=_LANGUAGES[lang_id]["Version"],
622
- date=_LANGUAGES[lang_id]["Date"],
623
- size=_LANGUAGES[lang_id]["Size"],
624
- val_hrs=_LANGUAGES[lang_id]["Validated_Hr_Total"],
625
- total_hrs=_LANGUAGES[lang_id]["Overall_Hr_Total"],
626
- num_of_voice=_LANGUAGES[lang_id]["Number_Of_Voice"],
627
- )
628
- for lang_id in _LANGUAGES.keys()
629
- ]
630
-
631
- def _info(self):
632
- features = datasets.Features(
633
- {
634
- "client_id": datasets.Value("string"),
635
- "path": datasets.Value("string"),
636
- "audio": datasets.Audio(sampling_rate=48_000),
637
- "sentence": datasets.Value("string"),
638
- "up_votes": datasets.Value("int64"),
639
- "down_votes": datasets.Value("int64"),
640
- "age": datasets.Value("string"),
641
- "gender": datasets.Value("string"),
642
- "accent": datasets.Value("string"),
643
- "locale": datasets.Value("string"),
644
- "segment": datasets.Value("string"),
645
- }
646
- )
647
-
648
- return datasets.DatasetInfo(
649
- description=_DESCRIPTION,
650
- features=features,
651
- supervised_keys=None,
652
- homepage=_HOMEPAGE,
653
- license=_LICENSE,
654
- citation=_CITATION,
655
- task_templates=[AutomaticSpeechRecognition(audio_column="audio", transcription_column="sentence")],
656
- )
657
-
658
- def _split_generators(self, dl_manager):
659
- """Returns SplitGenerators."""
660
- # Download the TAR archive that contains the audio files:
661
- archive_path = dl_manager.download(_DATA_URL.format(self.config.name))
662
-
663
- # First we locate the data using the path within the archive:
664
- path_to_data = "/".join(["cv-corpus-6.1-2020-12-11", self.config.name])
665
- path_to_clips = "/".join([path_to_data, "clips"])
666
- metadata_filepaths = {
667
- split: "/".join([path_to_data, f"{split}.tsv"])
668
- for split in ["train", "test", "dev", "other", "validated", "invalidated"]
669
- }
670
- # (Optional) In non-streaming mode, we can extract the archive locally to have actual local audio files:
671
- local_extracted_archive = dl_manager.extract(archive_path) if not dl_manager.is_streaming else None
672
-
673
- # To access the audio data from the TAR archives using the download manager,
674
- # we have to use the dl_manager.iter_archive method.
675
- #
676
- # This is because dl_manager.download_and_extract
677
- # doesn't work to stream TAR archives in streaming mode.
678
- # (we have to stream the files of a TAR archive one by one)
679
- #
680
- # The iter_archive method returns an iterable of (path_within_archive, file_obj) for every
681
- # file in the TAR archive.
682
-
683
- return [
684
- datasets.SplitGenerator(
685
- name=datasets.Split.TRAIN,
686
- gen_kwargs={
687
- "local_extracted_archive": local_extracted_archive,
688
- "archive_iterator": dl_manager.iter_archive(
689
- archive_path
690
- ), # use iter_archive here to access the files in the TAR archives
691
- "metadata_filepath": metadata_filepaths["train"],
692
- "path_to_clips": path_to_clips,
693
- },
694
- ),
695
- datasets.SplitGenerator(
696
- name=datasets.Split.TEST,
697
- gen_kwargs={
698
- "local_extracted_archive": local_extracted_archive,
699
- "archive_iterator": dl_manager.iter_archive(
700
- archive_path
701
- ), # use iter_archive here to access the files in the TAR archives
702
- "metadata_filepath": metadata_filepaths["test"],
703
- "path_to_clips": path_to_clips,
704
- },
705
- ),
706
- datasets.SplitGenerator(
707
- name=datasets.Split.VALIDATION,
708
- gen_kwargs={
709
- "local_extracted_archive": local_extracted_archive,
710
- "archive_iterator": dl_manager.iter_archive(
711
- archive_path
712
- ), # use iter_archive here to access the files in the TAR archives
713
- "metadata_filepath": metadata_filepaths["dev"],
714
- "path_to_clips": path_to_clips,
715
- },
716
- ),
717
- datasets.SplitGenerator(
718
- name="other",
719
- gen_kwargs={
720
- "local_extracted_archive": local_extracted_archive,
721
- "archive_iterator": dl_manager.iter_archive(
722
- archive_path
723
- ), # use iter_archive here to access the files in the TAR archives
724
- "metadata_filepath": metadata_filepaths["other"],
725
- "path_to_clips": path_to_clips,
726
- },
727
- ),
728
- datasets.SplitGenerator(
729
- name="validated",
730
- gen_kwargs={
731
- "local_extracted_archive": local_extracted_archive,
732
- "archive_iterator": dl_manager.iter_archive(
733
- archive_path
734
- ), # use iter_archive here to access the files in the TAR archives
735
- "metadata_filepath": metadata_filepaths["validated"],
736
- "path_to_clips": path_to_clips,
737
- },
738
- ),
739
- datasets.SplitGenerator(
740
- name="invalidated",
741
- gen_kwargs={
742
- "local_extracted_archive": local_extracted_archive,
743
- "archive_iterator": dl_manager.iter_archive(
744
- archive_path
745
- ), # use iter_archive here to access the files in the TAR archives
746
- "metadata_filepath": metadata_filepaths["invalidated"],
747
- "path_to_clips": path_to_clips,
748
- },
749
- ),
750
- ]
751
-
752
- def _generate_examples(self, local_extracted_archive, archive_iterator, metadata_filepath, path_to_clips):
753
- """Yields examples."""
754
- data_fields = list(self._info().features.keys())
755
-
756
- # audio is not a header of the csv files
757
- data_fields.remove("audio")
758
- path_idx = data_fields.index("path")
759
-
760
- all_field_values = {}
761
- metadata_found = False
762
- # Here we iterate over all the files within the TAR archive:
763
- for path, f in archive_iterator:
764
- # Parse the metadata CSV file
765
- if path == metadata_filepath:
766
- metadata_found = True
767
- lines = f.readlines()
768
- headline = lines[0].decode("utf-8")
769
-
770
- column_names = headline.strip().split("\t")
771
- assert (
772
- column_names == data_fields
773
- ), f"The file should have {data_fields} as column names, but has {column_names}"
774
- for line in lines[1:]:
775
- field_values = line.decode("utf-8").strip().split("\t")
776
- # set full path for mp3 audio file
777
- audio_path = "/".join([path_to_clips, field_values[path_idx]])
778
- all_field_values[audio_path] = field_values
779
- # Else, read the audio file and yield an example
780
- elif path.startswith(path_to_clips):
781
- assert metadata_found, "Found audio clips before the metadata TSV file."
782
- if not all_field_values:
783
- break
784
- if path in all_field_values:
785
- # retrieve the metadata corresponding to this audio file
786
- field_values = all_field_values[path]
787
-
788
- # if data is incomplete, fill with empty values
789
- if len(field_values) < len(data_fields):
790
- field_values += (len(data_fields) - len(field_values)) * ["''"]
791
-
792
- result = {key: value for key, value in zip(data_fields, field_values)}
793
-
794
- # set audio feature
795
- path = os.path.join(local_extracted_archive, path) if local_extracted_archive else path
796
- result["audio"] = {"path": path, "bytes": f.read()}
797
- # set path to None if the audio file doesn't exist locally (i.e. in streaming mode)
798
- result["path"] = path if local_extracted_archive else None
799
-
800
- yield path, result
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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