# coding=utf-8 # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """TODO: Add a description here.""" from __future__ import absolute_import, division, print_function import os import datasets # TODO: Add BibTeX citation # Find for instance the citation on arxiv or on the dataset repo/website _CITATION = """\ @inproceedings{commonvoice:2020, 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.}, title = {Common Voice: A Massively-Multilingual Speech Corpus}, booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)}, pages = {4211--4215}, year = 2020 } """ # TODO: Add description of the dataset here # You can copy an official description _DESCRIPTION = """\ Common Voice is Mozilla's initiative to help teach machines how real people speak. The dataset currently consists of 7,335 validated hours of speech in 60 languages, but we’re always adding more voices and languages. """ # TODO: Add a link to an official homepage for the dataset here _HOMEPAGE = "https://commonvoice.mozilla.org/en/datasets" # TODO: Add the licence for the dataset here if you can find it _LICENSE = "https://github.com/common-voice/common-voice/blob/main/LICENSE" # TODO: Add link to the official dataset URLs here # The HuggingFace dataset library don't host the datasets but only point to the original files # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method) _URLs = { 'first_domain': "https://mozilla-common-voice-datasets.s3.dualstack.us-west-2.amazonaws.com/cv-corpus-6.1-2020-12-11/en.tar.gz?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQ3GQRTO3CAFSOHXG%2F20210212%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20210212T082132Z&X-Amz-Expires=43200&X-Amz-Security-Token=FwoGZXIvYXdzEOr%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaDDBRxPQbFwld%2BrOewCKSBOR7k7VaqtnM0zucItVC0gdXyV4Uh5qtOx0vhTzhGRJ2r0mKkJ5FNL8bMe5TWtcX0IEH8HHTs28S%2BDerVhBD%2FGKfxy6J4BQCjhR0J8AoqwEYm0qRVm5b7tbWBNYetD5c8HxYGWWRppvaYxRxdnRbupfKuGpMEf3eYskfH8tAA739HbcKj44LGe4lkKsGvI1avxrxrNugcrNF%2BOccEdNInU%2F%2BVQvoFUu93oAEhJWl8dWXswDtZSCmuvfTjCbsZjphoSfTz5t0T25qXwP3PpcZTRVrYm9rQ4GGwaiva9qs0Q0nA0mC0skcMLF%2BZMxfo4wtaDfneDoPgNITqHtLyXLKeXRwIhHUzjNriniNNTp3XJyivc6qr6uNJ23IysUKfqNfQ2EiZC07VEQlVcYoSBKNHvGEIHsXfICaQ4MyHSl7dJa0CaSOAjBytNMxxhqCCLylJ%2BEgnO45VS5X12z8D3vTyyjR67hqXKDHwdTioVTlK3j%2FTXWRHDw31EbikSkhDKubD%2F2VDJLMul7cXjpCWygmJXHKG%2BNQKM09vP3pdmuVuQ1Z8an8OPMTnGKJEOsKXkrCJTOjvQVAl7z4KKlA9UW0Hp0u%2FoZnT%2Fxgi7dvqwu1Fq7%2BRQ%2BkXi3LT6lA%2B%2BJfO2HEOnlcsg1TFompSGp0dD12F3iTQNmKAuakCdunLyQRd%2Bgi2vRmwfsPyHOnRiJVbyghoEWyKLHtmIEGMir%2B01wURSgc46vtaXqBOz5Gtj4bF5wkpw6TCh%2FiHFn7Fx6igw69uJmKtpI%3D&X-Amz-Signature=573df56b8f6aa8e13b2fa26fa0763718e25f2d7a33e0be97ea5ff82680d82474&X-Amz-SignedHeaders=host" } #_FILES = { # "dev.tsv": "fields": { # "client_id": "client_id", # "path": "path to sound file" # "sentence": "sentence pronounced", # "up_votes": "upvotes by reviewers", # "down_votes": "down votes by reviewers" # "age": "Age of the speaker": # "gender" "Gender of the speaker", # "accent": "accent of the speaker", # "locale": "location of the speaker", # "segment": "segment", # } # "invalidated.tsv": { # "client_id": "client_id", # "path": "path to sound file" # "sentence": "sentence pronounced", # "up_votes": "upvotes by reviewers", # "down_votes": "down votes by reviewers" # "age": "Age of the speaker": # "gender" "Gender of the speaker", # "accent": "accent of the speaker", # "locale": "location of the speaker", # "segment": "segment"} # "other.tsv": # { # "client_id": "client_id", # "path": "path to sound file" # "sentence": "sentence pronounced", # "up_votes": "upvotes by reviewers", # "down_votes": "down votes by reviewers" # "age": "Age of the speaker": # "gender" "Gender of the speaker", # "accent": "accent of the speaker", # "locale": "location of the speaker", # "segment": "segment", } # "reported.tsv": { # { # "sentence": "sentence", # "senetence_id": "sentence_id" # "locale": "location of the speakr", # "reason": "reason for report" # } # "test.tsv": { # { # "client_id": "client_id", # "path": "path to sound file" # "sentence": "sentence pronounced", # "up_votes": "upvotes by reviewers", # "down_votes": "down votes by reviewers" # "age": "Age of the speaker": # "gender" "Gender of the speaker", # "accent": "accent of the speaker", # "locale": "location of the speaker", # "segment": "segment", } # } # "train.tsv": { # { # "client_id": "client_id", # "path": "path to sound file" # "sentence": "sentence pronounced", # "up_votes": "upvotes by reviewers", # "down_votes": "down votes by reviewers" # "age": "Age of the speaker": # "gender" "Gender of the speaker", # "accent": "accent of the speaker", # "locale": "location of the speaker", # "segment": "segment", } # } # "validated.tsv": { # { # "client_id": "client_id", # "path": "path to sound file" # "sentence": "sentence pronounced", # "up_votes": "upvotes by reviewers", # "down_votes": "down votes by reviewers" # "age": "Age of the speaker": # "gender" "Gender of the speaker", # "accent": "accent of the speaker", # "locale": "location of the speaker", # "segment": "segment", } # } #} _LANGUAGES = { "Abkhaz": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Arabic": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Assamese": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Breton": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Catalan": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Hakha Chin": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Czech": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Chuvash": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Welsh": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Abkhaz": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "German": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Dhivehi": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Greek": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "English": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Esperanto": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Spanish": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Estonian": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Basque": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Persian": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Finnish": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "French": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Frisian": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Irish": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Hindi": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Sorbian, Upper": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Hungarian": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "InterLinguia": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Indonesian": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Italian": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Japanese": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14, "Download_Link": "https://asr-dataset-ja.s3-ap-northeast-1.amazonaws.com/common-voice/original/1.0.0/ja.tar" },"Georgian": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Kabyle": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Kyrgyz": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Luganda": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "German": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Lithuanian": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Latvian": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Mongolian": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Maltese": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Dutch": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14, "Download_Link": "https://mozilla-common-voice-datasets.s3.dualstack.us-west-2.amazonaws.com/cv-corpus-6.1-2020-12-11/nl.tar.gz?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQ3GQRTO3ND4UAQXB%2F20210217%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20210217T080740Z&X-Amz-Expires=43200&X-Amz-Security-Token=FwoGZXIvYXdzEGIaDCC6ALh%2FwIK9ovvRdCKSBCs5WaSJNsZ2h0SnhpnWFv4yiAJHJTe%2BY6pBcCqadRMs0RABHeQ2n1QDACJ5V9WOqIHfMfT0AI%2Bfe6iFkTGLgRrJOMYpgV%2FmIBcXCjeb72r4ZvudMA8tprkSxZsEh53bJkIDQx1tXqfpz0yoefM0geD3461suEGhHnLIyiwffrUpRg%2BkNZN9%2FLZZXpF5F2pogieKKV533Jetkd1xlWOR%2Bem9R2bENu2RV563XX3JvbWxSYN9IHkVT1xwd4ZiOpUtX7%2F2RoluJUKw%2BUPpyml3J%2FOPPGdr7CyPLjqNxdq9ceRi8lRybty64XvNYZGt45VNTQ3pkTTz4VpUCJAGkgxq95Ve%2BOwW%2Fsc8JtblTFKrH11vej62NB7C0n7JPPS4SLKXHKW%2B7ZbybcNf3BnsAVouPdsGTMslcgkD81b9trnjyXJdOZkzdHUf2KcWVXVceEsZnMhcCZQ1cJpI7qXPEk8QrKCQcNByPLHmPIEdHpj9IrIBKDkl2qO7VX7CCB65WDt2eZRltOcNHXWVFXFktMdQOQztI1j0XSZz2iOX4jPKKaqz193VEytlAqmehNi8pePOnxkP9Z1SP7d3I6rayuBF3phmpHxw499tY3ECYYgoCnJ6QSFa3KxMjFmEpQlmjxuwEMHd4CDL2FJYGcCiIxbCcL1r8ZE3%2BbGdcu7PRsVCHX3Huh%2FqGIaF4h40FgteN6teyKCHKOebs4EGMipb9xmEMZ9ZbVopz4bkhLdMTrjKon9w624Xem0MTPqN7XY%2BB6lRgrW8rd4%3D&X-Amz-Signature=28eabdfce72a472a70b0f9e1e2c37fe1471b5ec8ed60614fbe900bfa97ae1ac8&X-Amz-SignedHeaders=host" },"Odia": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Punjabi": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 }, "Polish": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Portuguese": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Romansh Sursilvan": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Romansh Vallader": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Romanian": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Russian": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Kinyarwanda": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Sakha": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Slovenian": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Swedish": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Tamil": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Thai": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Turkish": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Tatar": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Ukrainian": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Vietnamese": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Votic": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Chinese (China)": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Chinese (Hong Kong)": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 },"Chinese (Taiwan": { "Date": "2020-12-11", "Size": "39 MB", "Version": "ab_1h_2020-12-11", "Validated_Hr_Total": 0.05, "Overall_Hr_Total": 1, "Number_Of_Voice": 14 } } class CommonVoiceConfig(datasets.BuilderConfig): """BuilderConfig for CommonVoice.""" def __init__(self, name, sub_version, **kwargs): """ Args: data_dir: `string`, the path to the folder containing the files in the downloaded .tar citation: `string`, citation for the data set url: `string`, url for information about the data set **kwargs: keyword arguments forwarded to super. """ self.language = name self.sub_version = sub_version self.date_of_snapshot = kwargs.pop("date", None) self.size = kwargs.pop("size", None) self.validated_hr_total = kwargs.pop("val_hrs", None) self.total_hr_total = kwargs.pop("total_hrs", None) self.num_of_voice = kwargs.pop("num_of_voice", None) 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}" super(CommonVoiceConfig, self).__init__(name=name, version=datasets.Version("6.1.0", ""), description=description, **kwargs) # TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case class CommonVoice(datasets.GeneratorBasedBuilder): """TODO: Short description of my dataset.""" @property def manual_download_instructions(self): return """\ You need to go to https://commonvoice.mozilla.org/en/datasets, and manually download the dataset as a .tar file. Once it is completed, a folder will be made containing the files, validated.tsv, train.tsv, test.tsv, reported.tsv, other.tsv, invalidated.tsv, dev.tsv and the folder clips containing audiofiles sampled at 48khz. Each clip is around 3-4 seconds in duration with a size of around 20-50 khz""" BUILDER_CONFIGS = [ CommonVoiceConfig( name=lang, sub_version=_LANGUAGES[lang]["Version"], date=_LANGUAGES[lang]["Date"], size=_LANGUAGES[lang]["Size"], val_hrs=_LANGUAGES[lang]["Validated_Hr_Total"], total_hrs=_LANGUAGES[lang]["Overall_Hr_Total"], num_of_voice=_LANGUAGES[lang]["Number_Of_Voice"], ) for lang in _LANGUAGES.keys() ] # DEFAULT_CONFIG_NAME = "first_domain" # It's not mandatory to have a default configuration. Just use one if it make sense. def _info(self): # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset # if self.config.name == "first_domain": # This is the name of the configuration selected in BUILDER_CONFIGS above # features = datasets.Features( # { # "client_id": datasets.Value("string"), # "path": datasets.Value("string"), # "sentence": datasets.Value("string"), # "up_votes": datasets.Value("int64"), # "down_votes": datasets.Value("int64"), # "age": datasets.Value("string"), # "gender": datasets.Value("string"), # "locale": datasets.Value("string"), # "segmet": datasets.Value("string"), # # These are the features of your dataset like images, labels ... # } # ) # # else: # This is an example to show how to have different features for "first_domain" and "second_domain" features = datasets.Features( { "client_id": datasets.Value("string"), "path": datasets.Value("string"), "sentence": datasets.Value("string"), "up_votes": datasets.Value("int64"), "down_votes": datasets.Value("int64"), "age": datasets.Value("string"), "gender": datasets.Value("string"), "accent": datasets.Value("string"), "locale": datasets.Value("string"), "segment": datasets.Value("string"), } ) return datasets.DatasetInfo( # This is the description that will appear on the datasets page. description=_DESCRIPTION, # This defines the different columns of the dataset and their types features=features, # Here we define them above because they are different between the two configurations # If there's a common (input, target) tuple from the features, # specify them here. They'll be used if as_supervised=True in # builder.as_dataset. supervised_keys=None, # Homepage of the dataset for documentation homepage=_HOMEPAGE, # License for the dataset if available license=_LICENSE, # Citation for the dataset citation=_CITATION, ) def _split_generators(self, dl_manager): """Returns SplitGenerators.""" # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLs # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files. # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive abs_path_to_data = os.path.abspath(dl_manager.manual_dir) abs_path_to_clips = os.path.join(abs_path_to_data, "clips") return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={ "filepath": os.path.join(abs_path_to_data, "train.tsv"), "path_to_clips": abs_path_to_clips, }, ), datasets.SplitGenerator( name=datasets.Split.TEST, gen_kwargs={ "filepath": os.path.join(abs_path_to_data, "test.tsv"), "path_to_clips": abs_path_to_clips, }, ), datasets.SplitGenerator( name=datasets.Split.VALIDATION, gen_kwargs={ "filepath": os.path.join(abs_path_to_data, "dev.tsv"), "path_to_clips": abs_path_to_clips, }, ), datasets.SplitGenerator( name="other", gen_kwargs={ "filepath": os.path.join(abs_path_to_data, "other.tsv"), "path_to_clips": abs_path_to_clips, }, ), datasets.SplitGenerator( name="invalidated", gen_kwargs={ "filepath": os.path.join(abs_path_to_data, "invalidated.tsv"), "path_to_clips": abs_path_to_clips, }, ), ] def _generate_examples(self, filepath, path_to_clips): """ Yields examples. """ # TODO: This method will receive as arguments the `gen_kwargs` defined in the previous `_split_generators` method. # It is in charge of opening the given file and yielding (key, example) tuples from the dataset # The key is not important, it's more here for legacy reason (legacy from tfds) data_fields = list(self._info().features.keys()) path_idx = data_fields.index("path") with open(filepath, encoding="utf-8") as f: lines = f.readlines() headline = lines[0] column_names = headline.strip().split("\t") assert column_names == data_fields, f"The file should have {data_fields} as column names, but has {column_names}" for id_, line in enumerate(lines[1:]): field_values = line.strip().split("\t") # set absolute path for mp3 audio file field_values[path_idx] = os.path.join(path_to_clips, field_values[path_idx]) # if data is incomplete, fill with empty values if len(field_values) < len(data_fields): field_values += (len(data_fields) - len(field_values)) * ["''"] yield id_, { key: value for key, value in zip(data_fields, field_values) }