google/fleurs · Datasets at Hugging Face

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Speakers of the train sets are different than speakers from the dev\/test sets. Multilingual fine-tuning is\nused and ”unit error rate” (characters, signs) of all languages is averaged. Languages and results are also grouped into seven… See the full description on the dataset page: https:\/\/huggingface.co\/datasets\/google\/fleurs.", "alternateName": [ "google\/fleurs", "The Cross-lingual TRansfer Evaluation of Multilingual Encoders for Speech (XTREME-S) benchmark is a benchmark designed to evaluate speech representations across languages, tasks, domains and data regimes. 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Cross-lingual TRansfer Evaluation of Multilingual Encoders for Speech (XTREME-S) benchmark is a benchmark designed to evaluate speech representations across languages, tasks, domains and data regimes. It covers 102 languages from 10+ language families, 3 different domains and 4 task families: speech recognition, translation, classification and retrieval.","tags":["speech-recognition"]},"cardExists":true,"createdAt":"2022-04-19T10:25:58.000Z","description":"\n\t\n\t\t\n\t\n\t\n\t\tFLEURS\n\t\n\nFleurs is the speech version of the FLoRes machine translation benchmark. \nWe use 2009 n-way parallel sentences from the FLoRes dev and devtest publicly available sets, in 102 languages. \nTraining sets have around 10 hours of supervision. Speakers of the train sets are different than speakers from the dev/test sets. Multilingual fine-tuning is\nused and ”unit error rate” (characters, signs) of all languages is averaged. Languages and results are also grouped into seven… See the full description on the dataset page: https://huggingface.co/datasets/google/fleurs.","downloads":24079,"downloadsAllTime":909807,"id":"google/fleurs","isLikedByUser":false,"lastModified":"2024-08-25T05:03:32.000Z","likes":256,"discussionsDisabled":false,"repoType":"dataset","private":false,"gated":false,"tags":["task_categories:automatic-speech-recognition","annotations_creators:expert-generated","annotations_creators:crowdsourced","annotations_creators:machine-generated","language_creators:crowdsourced","language_creators:expert-generated","multilinguality:multilingual","language:afr","language:amh","language:ara","language:asm","language:ast","language:azj","language:bel","language:ben","language:bos","language:cat","language:ceb","language:cmn","language:ces","language:cym","language:dan","language:deu","language:ell","language:eng","language:spa","language:est","language:fas","language:ful","language:fin","language:tgl","language:fra","language:gle","language:glg","language:guj","language:hau","language:heb","language:hin","language:hrv","language:hun","language:hye","language:ind","language:ibo","language:isl","language:ita","language:jpn","language:jav","language:kat","language:kam","language:kea","language:kaz","language:khm","language:kan","language:kor","language:ckb","language:kir","language:ltz","language:lug","language:lin","language:lao","language:lit","language:luo","language:lav","language:mri","language:mkd","language:mal","language:mon","language:mar","language:msa","language:mlt","language:mya","language:nob","language:npi","language:nld","language:nso","language:nya","language:oci","language:orm","language:ory","language:pan","language:pol","language:pus","language:por","language:ron","language:rus","language:bul","language:snd","language:slk","language:slv","language:sna","language:som","language:srp","language:swe","language:swh","language:tam","language:tel","language:tgk","language:tha","language:tur","language:ukr","language:umb","language:urd","language:uzb","language:vie","language:wol","language:xho","language:yor","language:yue","language:zul","license:cc-by-4.0","size_categories:10K<n<100K","arxiv:2205.12446","arxiv:2106.03193","region:us","speech-recognition"],"tag_objs":[{"id":"task_categories:automatic-speech-recognition","label":"automatic-speech-recognition","type":"task_categories","subType":"audio"},{"id":"annotations_creators:expert-generated","label":"expert-generated","type":"annotations_creators"},{"id":"annotations_creators:crowdsourced","label":"crowdsourced","type":"annotations_creators"},{"id":"annotations_creators:machine-generated","label":"machine-generated","type":"annotations_creators"},{"id":"language_creators:crowdsourced","label":"crowdsourced","type":"language_creators"},{"id":"language_creators:expert-generated","label":"expert-generated","type":"language_creators"},{"id":"multilinguality:multilingual","label":"multilingual","type":"multilinguality"},{"id":"language:afr","label":"Afrikaans","type":"language"},{"id":"language:amh","label":"Amharic","type":"language"},{"id":"language:ara","label":"Arabic","type":"language"},{"id":"language:asm","label":"Assamese","type":"language"},{"id":"language:ast","label":"Asturian","type":"language"},{"id":"language:azj","label":"North 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0.625C3.83968 0.625 2.72688 1.08594 1.90641 1.90641C1.08594 2.72688 0.625 3.83968 0.625 5ZM7.64365 7.48027C7.61734 7.50832 7.59054 7.53598 7.56326 7.56326C7.13828 7.98824 6.61864 8.2968 6.0539 8.46842C6.29802 8.11949 6.49498 7.64804 6.63475 7.09483C7.00845 7.18834 7.35014 7.3187 7.64365 7.48027ZM8.10076 6.87776C8.37677 6.42196 8.55005 5.90894 8.60556 5.37499H6.86808C6.85542 5.71597 6.82551 6.04557 6.77971 6.35841C7.25309 6.47355 7.68808 6.6414 8.062 6.85549C8.07497 6.86283 8.08789 6.87025 8.10076 6.87776ZM6.03795 6.22536C6.07708 5.95737 6.1044 5.67232 6.11705 5.37499H3.88295C3.89666 5.69742 3.92764 6.00542 3.9722 6.29287C4.37075 6.21726 4.79213 6.17749 5.224 6.17749C5.50054 6.17749 5.77294 6.19376 6.03795 6.22536ZM4.1261 7.02673C4.34894 7.84835 4.68681 8.375 5 8.375C5.32122 8.375 5.66839 7.82101 5.8908 6.963C5.67389 6.93928 5.45082 6.92699 5.224 6.92699C4.84316 6.92699 4.47332 6.96176 4.1261 7.02673ZM3.39783 7.21853C3.53498 7.71842 3.72038 8.14579 3.9461 8.46842C3.42141 8.30898 2.93566 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6.85552 4.28682 6.86808 4.62499H8.60556C8.55029 4.09337 8.37827 3.58251 8.10436 3.1282C8.0903 3.1364 8.07618 3.14449 8.062 3.15249C7.68838 3.36641 7.25378 3.53417 6.78083 3.6493ZM7.64858 2.52499C7.35446 2.68754 7.0117 2.81868 6.63664 2.91268C6.49676 2.35623 6.29913 1.88209 6.0539 1.53158C6.61864 1.7032 7.13828 2.01176 7.56326 2.43674C7.59224 2.46572 7.62068 2.49514 7.64858 2.52499Z" fill="currentColor"></path></svg> <span>Afrikaans</span> </div></a><a class="mb-1 mr-1 md:mb-1.5 md:mr-1.5 rounded-lg" href="/datasets?language=language%3Aamh"><div class="tag tag-white "> <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="text-green-600/80" preserveAspectRatio="xMidYMid meet" width="1em" height="1em" viewBox="0 0 10 10"><path fill-rule="evenodd" clip-rule="evenodd" d="M0.625 5C0.625 6.16032 1.08594 7.27312 1.90641 8.09359C2.72688 8.91406 3.83968 9.375 5 9.375C6.16032 9.375 7.27312 8.91406 8.09359 8.09359C8.91406 7.27312 9.375 6.16032 9.375 5C9.375 3.83968 8.91406 2.72688 8.09359 1.90641C7.27312 1.08594 6.16032 0.625 5 0.625C3.83968 0.625 2.72688 1.08594 1.90641 1.90641C1.08594 2.72688 0.625 3.83968 0.625 5ZM7.64365 7.48027C7.61734 7.50832 7.59054 7.53598 7.56326 7.56326C7.13828 7.98824 6.61864 8.2968 6.0539 8.46842C6.29802 8.11949 6.49498 7.64804 6.63475 7.09483C7.00845 7.18834 7.35014 7.3187 7.64365 7.48027ZM8.10076 6.87776C8.37677 6.42196 8.55005 5.90894 8.60556 5.37499H6.86808C6.85542 5.71597 6.82551 6.04557 6.77971 6.35841C7.25309 6.47355 7.68808 6.6414 8.062 6.85549C8.07497 6.86283 8.08789 6.87025 8.10076 6.87776ZM6.03795 6.22536C6.07708 5.95737 6.1044 5.67232 6.11705 5.37499H3.88295C3.89666 5.69742 3.92764 6.00542 3.9722 6.29287C4.37075 6.21726 4.79213 6.17749 5.224 6.17749C5.50054 6.17749 5.77294 6.19376 6.03795 6.22536ZM4.1261 7.02673C4.34894 7.84835 4.68681 8.375 5 8.375C5.32122 8.375 5.66839 7.82101 5.8908 6.963C5.67389 6.93928 5.45082 6.92699 5.224 6.92699C4.84316 6.92699 4.47332 6.96176 4.1261 7.02673ZM3.39783 7.21853C3.53498 7.71842 3.72038 8.14579 3.9461 8.46842C3.42141 8.30898 2.93566 8.03132 2.52857 7.65192C2.77253 7.48017 3.06711 7.33382 3.39783 7.21853ZM3.23916 6.48077C3.18263 6.13193 3.14625 5.76074 3.13192 5.37499H1.39444C1.4585 5.99112 1.67936 6.57938 2.03393 7.08403C2.3706 6.83531 2.78055 6.63162 3.23916 6.48077ZM1.39444 4.62499H3.13192C3.14615 4.24204 3.18211 3.87344 3.23794 3.52681C2.77814 3.37545 2.36731 3.17096 2.03024 2.92123C1.67783 3.42469 1.45828 4.011 1.39444 4.62499ZM2.5237 2.35262C2.76812 2.52552 3.06373 2.67281 3.39584 2.78875C3.53318 2.28573 3.71928 1.85578 3.9461 1.53158C3.41932 1.69166 2.93178 1.97089 2.5237 2.35262ZM3.97101 3.71489C3.92709 4.00012 3.89654 4.30547 3.88295 4.62499H6.11705C6.10453 4.33057 6.07761 4.04818 6.03909 3.78248C5.77372 3.81417 5.50093 3.83049 5.224 3.83049C4.79169 3.83049 4.3699 3.79065 3.97101 3.71489ZM5.8928 3.04476C5.67527 3.06863 5.45151 3.08099 5.224 3.08099C4.84241 3.08099 4.47186 3.04609 4.12405 2.98086C4.34686 2.1549 4.68584 1.625 5 1.625C5.32218 1.625 5.67048 2.18233 5.8928 3.04476ZM6.78083 3.6493C6.826 3.95984 6.85552 4.28682 6.86808 4.62499H8.60556C8.55029 4.09337 8.37827 3.58251 8.10436 3.1282C8.0903 3.1364 8.07618 3.14449 8.062 3.15249C7.68838 3.36641 7.25378 3.53417 6.78083 3.6493ZM7.64858 2.52499C7.35446 2.68754 7.0117 2.81868 6.63664 2.91268C6.49676 2.35623 6.29913 1.88209 6.0539 1.53158C6.61864 1.7032 7.13828 2.01176 7.56326 2.43674C7.59224 2.46572 7.62068 2.49514 7.64858 2.52499Z" fill="currentColor"></path></svg> <span>Amharic</span> </div></a><a class="mb-1 mr-1 md:mb-1.5 md:mr-1.5 rounded-lg" href="/datasets?language=language%3Aara"><div class="tag tag-white "> <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="text-green-600/80" preserveAspectRatio="xMidYMid meet" width="1em" height="1em" viewBox="0 0 10 10"><path fill-rule="evenodd" clip-rule="evenodd" d="M0.625 5C0.625 6.16032 1.08594 7.27312 1.90641 8.09359C2.72688 8.91406 3.83968 9.375 5 9.375C6.16032 9.375 7.27312 8.91406 8.09359 8.09359C8.91406 7.27312 9.375 6.16032 9.375 5C9.375 3.83968 8.91406 2.72688 8.09359 1.90641C7.27312 1.08594 6.16032 0.625 5 0.625C3.83968 0.625 2.72688 1.08594 1.90641 1.90641C1.08594 2.72688 0.625 3.83968 0.625 5ZM7.64365 7.48027C7.61734 7.50832 7.59054 7.53598 7.56326 7.56326C7.13828 7.98824 6.61864 8.2968 6.0539 8.46842C6.29802 8.11949 6.49498 7.64804 6.63475 7.09483C7.00845 7.18834 7.35014 7.3187 7.64365 7.48027ZM8.10076 6.87776C8.37677 6.42196 8.55005 5.90894 8.60556 5.37499H6.86808C6.85542 5.71597 6.82551 6.04557 6.77971 6.35841C7.25309 6.47355 7.68808 6.6414 8.062 6.85549C8.07497 6.86283 8.08789 6.87025 8.10076 6.87776ZM6.03795 6.22536C6.07708 5.95737 6.1044 5.67232 6.11705 5.37499H3.88295C3.89666 5.69742 3.92764 6.00542 3.9722 6.29287C4.37075 6.21726 4.79213 6.17749 5.224 6.17749C5.50054 6.17749 5.77294 6.19376 6.03795 6.22536ZM4.1261 7.02673C4.34894 7.84835 4.68681 8.375 5 8.375C5.32122 8.375 5.66839 7.82101 5.8908 6.963C5.67389 6.93928 5.45082 6.92699 5.224 6.92699C4.84316 6.92699 4.47332 6.96176 4.1261 7.02673ZM3.39783 7.21853C3.53498 7.71842 3.72038 8.14579 3.9461 8.46842C3.42141 8.30898 2.93566 8.03132 2.52857 7.65192C2.77253 7.48017 3.06711 7.33382 3.39783 7.21853ZM3.23916 6.48077C3.18263 6.13193 3.14625 5.76074 3.13192 5.37499H1.39444C1.4585 5.99112 1.67936 6.57938 2.03393 7.08403C2.3706 6.83531 2.78055 6.63162 3.23916 6.48077ZM1.39444 4.62499H3.13192C3.14615 4.24204 3.18211 3.87344 3.23794 3.52681C2.77814 3.37545 2.36731 3.17096 2.03024 2.92123C1.67783 3.42469 1.45828 4.011 1.39444 4.62499ZM2.5237 2.35262C2.76812 2.52552 3.06373 2.67281 3.39584 2.78875C3.53318 2.28573 3.71928 1.85578 3.9461 1.53158C3.41932 1.69166 2.93178 1.97089 2.5237 2.35262ZM3.97101 3.71489C3.92709 4.00012 3.89654 4.30547 3.88295 4.62499H6.11705C6.10453 4.33057 6.07761 4.04818 6.03909 3.78248C5.77372 3.81417 5.50093 3.83049 5.224 3.83049C4.79169 3.83049 4.3699 3.79065 3.97101 3.71489ZM5.8928 3.04476C5.67527 3.06863 5.45151 3.08099 5.224 3.08099C4.84241 3.08099 4.47186 3.04609 4.12405 2.98086C4.34686 2.1549 4.68584 1.625 5 1.625C5.32218 1.625 5.67048 2.18233 5.8928 3.04476ZM6.78083 3.6493C6.826 3.95984 6.85552 4.28682 6.86808 4.62499H8.60556C8.55029 4.09337 8.37827 3.58251 8.10436 3.1282C8.0903 3.1364 8.07618 3.14449 8.062 3.15249C7.68838 3.36641 7.25378 3.53417 6.78083 3.6493ZM7.64858 2.52499C7.35446 2.68754 7.0117 2.81868 6.63664 2.91268C6.49676 2.35623 6.29913 1.88209 6.0539 1.53158C6.61864 1.7032 7.13828 2.01176 7.56326 2.43674C7.59224 2.46572 7.62068 2.49514 7.64858 2.52499Z" fill="currentColor"></path></svg> <span>Arabic</span> </div></a> <button class="tag tag-ghost -ml-0.5 mb-1 !px-1 md:mb-1.5" type="button">+ 99</button></div><div class="mr-1 flex flex-wrap items-center"><span class="mb-1 mr-1 p-1 text-sm leading-tight text-gray-400 md:mb-1.5">Size: </span> <a class="mb-1 mr-1 md:mb-1.5 md:mr-1.5 rounded-lg" href="/datasets?size_categories=size_categories%3A10K%3Cn%3C100K"><div class="tag tag-white "> <span>10K<n<100K</span> </div></a> </div><div class="mr-1 flex flex-wrap items-center"><span class="mb-1 mr-1 p-1 text-sm leading-tight text-gray-400 md:mb-1.5">ArXiv: </span> <div class="relative inline-block "> <button class="group mr-1 mb-1 md:mr-1.5 md:mb-1.5 rounded-full rounded-br-none " type="button"> <div class="tag tag-white rounded-full relative rounded-br-none pr-2.5"> <svg class="-mr-1 text-gray-400" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" viewBox="0 0 12 12" preserveAspectRatio="xMidYMid meet" fill="none"><path fill="currentColor" fill-rule="evenodd" d="M8.007 1.814a1.176 1.176 0 0 0-.732-.266H3.088c-.64 0-1.153.512-1.153 1.152v6.803c0 .64.513 1.152 1.153 1.152h5.54c.632 0 1.144-.511 1.144-1.152V3.816c0-.338-.137-.658-.412-.887L8.007 1.814Zm-1.875 1.81c0 .695.55 1.253 1.244 1.253h.983a.567.567 0 0 1 .553.585v4.041c0 .165-.119.302-.283.302h-5.55c-.156 0-.275-.137-.275-.302V2.7a.284.284 0 0 1 .284-.301h2.468a.574.574 0 0 1 .434.19.567.567 0 0 1 .142.395v.64Z" clip-rule="evenodd"></path><path fill="currentColor" fill-opacity=".2" fill-rule="evenodd" d="M6.132 3.624c0 .695.55 1.253 1.244 1.253h.97a.567.567 0 0 1 .566.585v4.041c0 .165-.119.302-.283.302h-5.55c-.156 0-.275-.137-.275-.302V2.7a.284.284 0 0 1 .284-.301h2.468a.567.567 0 0 1 .576.585v.64Z" clip-rule="evenodd"></path></svg> <span class="-mr-2 text-gray-400">arxiv:</span> <span>2205.12446</span> <div class="border-br-gray-200 absolute bottom-0.5 right-0.5 h-1 w-1 border-[3px] border-l-transparent border-t-transparent border-b-gray-200 border-r-gray-200 dark:border-b-gray-700 dark:border-r-gray-700"></div></div> </button> </div> <div class="relative inline-block "> <button class="group mr-1 mb-1 md:mr-1.5 md:mb-1.5 rounded-full rounded-br-none " type="button"> <div class="tag tag-white rounded-full relative rounded-br-none pr-2.5"> <svg class="-mr-1 text-gray-400" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" viewBox="0 0 12 12" preserveAspectRatio="xMidYMid meet" fill="none"><path fill="currentColor" fill-rule="evenodd" d="M8.007 1.814a1.176 1.176 0 0 0-.732-.266H3.088c-.64 0-1.153.512-1.153 1.152v6.803c0 .64.513 1.152 1.153 1.152h5.54c.632 0 1.144-.511 1.144-1.152V3.816c0-.338-.137-.658-.412-.887L8.007 1.814Zm-1.875 1.81c0 .695.55 1.253 1.244 1.253h.983a.567.567 0 0 1 .553.585v4.041c0 .165-.119.302-.283.302h-5.55c-.156 0-.275-.137-.275-.302V2.7a.284.284 0 0 1 .284-.301h2.468a.574.574 0 0 1 .434.19.567.567 0 0 1 .142.395v.64Z" clip-rule="evenodd"></path><path fill="currentColor" fill-opacity=".2" fill-rule="evenodd" d="M6.132 3.624c0 .695.55 1.253 1.244 1.253h.97a.567.567 0 0 1 .566.585v4.041c0 .165-.119.302-.283.302h-5.55c-.156 0-.275-.137-.275-.302V2.7a.284.284 0 0 1 .284-.301h2.468a.567.567 0 0 1 .576.585v.64Z" clip-rule="evenodd"></path></svg> <span class="-mr-2 text-gray-400">arxiv:</span> <span>2106.03193</span> <div class="border-br-gray-200 absolute bottom-0.5 right-0.5 h-1 w-1 border-[3px] border-l-transparent border-t-transparent border-b-gray-200 border-r-gray-200 dark:border-b-gray-700 dark:border-r-gray-700"></div></div> </button> </div> </div><div class="mr-1 flex flex-wrap items-center"><span class="mb-1 mr-1 p-1 text-sm leading-tight text-gray-400 md:mb-1.5">Tags: </span> <a class="mb-1 mr-1 md:mb-1.5 md:mr-1.5 rounded-lg" href="/datasets?other=speech-recognition"><div class="tag tag-white "> <span>speech-recognition</span> </div></a> </div><div class="mr-1 flex flex-wrap items-center"><span class="mb-1 mr-1 p-1 text-sm leading-tight text-gray-400 md:mb-1.5">License: </span> <div class="relative inline-block "> <button class="group mr-1 mb-1 md:mr-1.5 md:mb-1.5 rounded-full rounded-br-none " type="button"> <div class="tag tag-white rounded-full relative rounded-br-none pr-2.5"> <svg class="text-xs text-gray-900" width="1em" height="1em" viewBox="0 0 10 10" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M1.46009 5.0945V6.88125C1.46009 7.25201 1.75937 7.55129 2.13012 7.55129C2.50087 7.55129 2.80016 7.25201 2.80016 6.88125V5.0945C2.80016 4.72375 2.50087 4.42446 2.13012 4.42446C1.75937 4.42446 1.46009 4.72375 1.46009 5.0945ZM4.14022 5.0945V6.88125C4.14022 7.25201 4.4395 7.55129 4.81026 7.55129C5.18101 7.55129 5.48029 7.25201 5.48029 6.88125V5.0945C5.48029 4.72375 5.18101 4.42446 4.81026 4.42446C4.4395 4.42446 4.14022 4.72375 4.14022 5.0945ZM1.23674 9.78473H8.38377C8.75452 9.78473 9.0538 9.48545 9.0538 9.1147C9.0538 8.74395 8.75452 8.44466 8.38377 8.44466H1.23674C0.865993 8.44466 0.566711 8.74395 0.566711 9.1147C0.566711 9.48545 0.865993 9.78473 1.23674 9.78473ZM6.82036 5.0945V6.88125C6.82036 7.25201 7.11964 7.55129 7.49039 7.55129C7.86114 7.55129 8.16042 7.25201 8.16042 6.88125V5.0945C8.16042 4.72375 7.86114 4.42446 7.49039 4.42446C7.11964 4.42446 6.82036 4.72375 6.82036 5.0945ZM4.39484 0.623142L0.865993 2.48137C0.682851 2.57517 0.566711 2.76725 0.566711 2.97273C0.566711 3.28094 0.816857 3.53109 1.12507 3.53109H8.49991C8.80365 3.53109 9.0538 3.28094 9.0538 2.97273C9.0538 2.76725 8.93766 2.57517 8.75452 2.48137L5.22568 0.623142C4.9666 0.484669 4.65391 0.484669 4.39484 0.623142V0.623142Z" fill="currentColor"></path></svg> <span>cc-by-4.0</span> <div class="border-br-gray-200 absolute bottom-0.5 right-0.5 h-1 w-1 border-[3px] border-l-transparent border-t-transparent border-b-gray-200 border-r-gray-200 dark:border-b-gray-700 dark:border-r-gray-700"></div></div> </button> </div> </div></div> <div class="flex flex-col-reverse lg:flex-row lg:items-center lg:justify-between"><div class="-mb-px flex h-12 items-center overflow-x-auto overflow-y-hidden "><a class="tab-alternate active" href="/datasets/google/fleurs"><svg class="mr-1.5 text-gray-400 flex-none" style="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 24 24"><path class="uim-quaternary" d="M20.23 7.24L12 12L3.77 7.24a1.98 1.98 0 0 1 .7-.71L11 2.76c.62-.35 1.38-.35 2 0l6.53 3.77c.29.173.531.418.7.71z" opacity=".25" fill="currentColor"></path><path class="uim-tertiary" d="M12 12v9.5a2.09 2.09 0 0 1-.91-.21L4.5 17.48a2.003 2.003 0 0 1-1-1.73v-7.5a2.06 2.06 0 0 1 .27-1.01L12 12z" opacity=".5" fill="currentColor"></path><path class="uim-primary" d="M20.5 8.25v7.5a2.003 2.003 0 0 1-1 1.73l-6.62 3.82c-.275.13-.576.198-.88.2V12l8.23-4.76c.175.308.268.656.27 1.01z" fill="currentColor"></path></svg> Dataset card </a><a class="tab-alternate " href="/datasets/google/fleurs/tree/main"><svg class="mr-1.5 text-gray-400 flex-none" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" 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19.9117 22.2219C20.48 24.3274 26.3979 18.2382 27.6082 20.6107C28.8193 22.9839 19.2574 25.7722 19.18 25.7929C16.0914 26.62 8.24723 28.3726 5.50686 24.2246Z" fill="#FFD21E"></path></svg> Community <div class="ml-1.5 flex h-4 min-w-[1rem] items-center justify-center rounded px-1 text-xs leading-none shadow-sm bg-black text-white dark:bg-gray-800 dark:text-gray-200">22 </div> </a> </div> </div></div></header> </div> <div class="container relative flex flex-col md:grid md:space-y-0 w-full md:grid-cols-12 md:flex-1 md:grid-rows-full space-y-4 md:gap-6 "> <section class="pt-6 border-gray-100 md:col-span-8 pb-24 relative break-words copiable-code-container"><div class="SVELTE_HYDRATER contents" data-target="UnsafeBanner" data-props="{"classNames":"mb-4","repoId":"google/fleurs","repoType":"dataset","minLevel":"unsafe"}"></div> <div class="SVELTE_HYDRATER contents" data-target="DatasetViewer" data-props="{"data":{"kind":"ConfigError","error":{"error":"The dataset viewer doesn't support this dataset because it runs arbitrary Python code. You can convert it to a Parquet data-only dataset by using the convert_to_parquet CLI from the datasets library. See: https://huggingface.co/docs/datasets/main/en/cli#convert-to-parquet","error_code":"DatasetWithScriptNotSupportedError"},"partial":false,"jwt":"eyJhbGciOiJFZERTQSJ9.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTczMzM0Mjk1MSwic3ViIjoiL2RhdGFzZXRzL2dvb2dsZS9mbGV1cnMiLCJleHAiOjE3MzMzNDY1NTEsImlzcyI6Imh0dHBzOi8vaHVnZ2luZ2ZhY2UuY28ifQ.6m-rHUNx6gXAOr5Mz2zUVSMtzNj-hdNHLW3dWcA7hwBez5FssRnDVlcxDQbQZd1-tqQJpaLmxy2bjbj7JRrpAA"},"dataset":"google/fleurs","isGated":false,"isPrivate":false,"hasParquetFormat":false,"author":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/5dd96eb166059660ed1ee413/WtA3YYitedOr9n02eHfJe.png","fullname":"Google","name":"google","type":"org","isHf":false,"isMod":false,"isEnterprise":false,"followerCount":5079},"compact":true}"><div class="overflow-hidden px-2.5 mx-auto mb-10 rounded-lg border pt-2 shadow-sm "><div class="mb-2 flex flex-wrap items-center gap-2"><div class="mr-auto flex items-center"><svg class="mr-1 flex-none" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 12 12"><path fill="currentColor" d="M2.5 2h7a1 1 0 0 1 1 1v6a1 1 0 0 1-1 1h-7a1 1 0 0 1-1-1V3a1 1 0 0 1 1-1Zm0 2v2h3V4h-3Zm4 0v2h3V4h-3Zm-4 3v2h3V7h-3Zm4 0v2h3V7h-3Z"></path></svg> <div class="whitespace-nowrap font-semibold">Dataset Viewer</div> </div> <a class="btn flex items-center rounded-full border px-2 py-0.5 text-xs font-normal text-gray-700 shadow-sm hover:text-gray-800 hover:shadow dark:hover:text-gray-200 btn-disabled"><svg class="mr-1 text-red-500" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 12 12"><path fill="currentColor" d="M2.5 2h7a1 1 0 0 1 1 1v6a1 1 0 0 1-1 1h-7a1 1 0 0 1-1-1V3a1 1 0 0 1 1-1Zm0 2v2h3V4h-3Zm4 0v2h3V4h-3Zm-4 3v2h3V7h-3Zm4 0v2h3V7h-3Z"></path></svg> <div class="hidden sm:block">Full Screen Viewer</div> <div class="block sm:hidden">Full Screen</div></a></div> <div class=" py-1 font-mono text-xs text-gray-600"><p class="mb-2">The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider removing the <a class="underline" href="https://huggingface.co/docs/datasets/dataset_script">loading script</a> and relying on <a class="underline" href="https://huggingface.co/docs/datasets/repository_structure">automated data support</a> (you can use <a class="underline" href="https://huggingface.co/docs/datasets/main/en/cli#convert-to-parquet"><code>convert_to_parquet</code></a> from the <code>datasets</code> library). If this is not possible, please <a class="underline" href="/datasets/google/fleurs/discussions/new?title=Dataset+Viewer+issue%3A+DatasetWithScriptNotSupportedError&description=The+dataset+viewer+is+not+working.%0A%0AError+details%3A%0A%0A%60%60%60%0AError+code%3A+++DatasetWithScriptNotSupportedError%0A%0A%60%60%60%0A%0A%0A---%0A%0A%F0%9F%91%8B+Before+opening+the+discussion%2C+have+you+considered+removing+the+%5Bloading+script%5D%28https%3A%2F%2Fhuggingface.co%2Fdocs%2Fdatasets%2Fdataset_script%29+and+relying+on+%5Bautomated+data+support%5D%28https%3A%2F%2Fhuggingface.co%2Fdocs%2Fdatasets%2Frepository_structure%29%3F%0A%0AYou+can+use+%5Bconvert_to_parquet%5D%28https%3A%2F%2Fhuggingface.co%2Fdocs%2Fdatasets%2Fmain%2Fen%2Fcli%23convert-to-parquet%29+from+the+datasets+library.%0A%0A---%0A%0A%0Acc+%40albertvillanova+%40lhoestq+%40severo.">open a discussion</a> for direct help. </p></div></div></div> <div class="SVELTE_HYDRATER contents" data-target="RepoCodeCopy" data-props="{}"><div></div></div> <div class="SVELTE_HYDRATER contents" data-target="SideNavigation" data-props="{"titleTree":[{"id":"how-to-use--supported-tasks","label":"How to use &amp; Supported Tasks","children":[{"id":"how-to-use","label":"How to use","children":[],"isValid":true,"title":"How to use"},{"id":"example-scripts","label":"Example scripts","children":[],"isValid":true,"title":"Example scripts"},{"id":"1-speech-recognition-asr","label":"1. 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Retrieval"}],"isValid":true,"title":"How to use &amp; Supported Tasks"},{"id":"dataset-structure","label":"Dataset Structure","children":[{"id":"data-instances","label":"Data Instances","children":[],"isValid":true,"title":"Data Instances"},{"id":"data-fields","label":"Data Fields","children":[],"isValid":true,"title":"Data Fields"},{"id":"data-splits","label":"Data Splits","children":[],"isValid":true,"title":"Data Splits"}],"isValid":true,"title":"Dataset Structure"},{"id":"dataset-creation","label":"Dataset Creation","children":[],"isValid":true,"title":"Dataset Creation"},{"id":"considerations-for-using-the-data","label":"Considerations for Using the Data","children":[{"id":"social-impact-of-dataset","label":"Social Impact of Dataset","children":[],"isValid":true,"title":"Social Impact of Dataset"},{"id":"discussion-of-biases","label":"Discussion of Biases","children":[],"isValid":true,"title":"Discussion of Biases"},{"id":"other-known-limitations","label":"Other Known Limitations","children":[],"isValid":true,"title":"Other Known Limitations"}],"isValid":true,"title":"Considerations for Using the Data"},{"id":"additional-information","label":"Additional Information","children":[{"id":"citation-information","label":"Citation Information","children":[],"isValid":true,"title":"Citation Information"},{"id":"contributions","label":"Contributions","children":[],"isValid":true,"title":"Contributions"}],"isValid":true,"title":"Additional Information"}],"classNames":"top-6"}"> <div class="absolute -left-12 bottom-0 top-0 z-10 top-6"><div class="sticky top-4 flex"><div class="h-7 pt-[0.175rem]"> <span class="peer" tabindex="0"><button class="select-none hover:cursor-pointer"><svg width="1em" height="1em" viewBox="0 0 10 10" class="text-lg opacity-80 hover:opacity-100" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" preserveAspectRatio="xMidYMid meet" fill="currentColor"><path fill-rule="evenodd" clip-rule="evenodd" d="M1.65039 2.9999C1.65039 2.8066 1.80709 2.6499 2.00039 2.6499H8.00039C8.19369 2.6499 8.35039 2.8066 8.35039 2.9999C8.35039 3.1932 8.19369 3.3499 8.00039 3.3499H2.00039C1.80709 3.3499 1.65039 3.1932 1.65039 2.9999ZM1.65039 4.9999C1.65039 4.8066 1.80709 4.6499 2.00039 4.6499H8.00039C8.19369 4.6499 8.35039 4.8066 8.35039 4.9999C8.35039 5.1932 8.19369 5.3499 8.00039 5.3499H2.00039C1.80709 5.3499 1.65039 5.1932 1.65039 4.9999ZM2.00039 6.6499C1.80709 6.6499 1.65039 6.8066 1.65039 6.9999C1.65039 7.1932 1.80709 7.3499 2.00039 7.3499H8.00039C8.19369 7.3499 8.35039 7.1932 8.35039 6.9999C8.35039 6.8066 8.19369 6.6499 8.00039 6.6499H2.00039Z"></path></svg></button></span> <div class="invisible w-0 -translate-x-24 -translate-y-6 overflow-hidden rounded-xl border bg-white transition-transform hover:visible hover:w-52 hover:translate-x-0 peer-focus-within:visible peer-focus-within:w-52 peer-focus-within:translate-x-0"><nav aria-label="Secondary" class="max-h-[550px] overflow-y-auto p-3"><ul><li class="mb-3 text-sm last:mb-0"><a class="mb-1 block break-words font-semibold text-gray-700 hover:underline active:text-gray-900 dark:active:text-gray-200 [&>*]:break-words" href="#how-to-use--supported-tasks" title="How to use &amp; Supported Tasks">How to use & Supported Tasks</a> <ul class="pl-1"><li><a class="mb-0.5 block break-words hover:underline active:text-gray-700 dark:active:text-gray-300 text-gray-500" href="#how-to-use" title="How to use">How to use</a> <ul class="pl-2"></ul> </li><li><a class="mb-0.5 block break-words hover:underline active:text-gray-700 dark:active:text-gray-300 text-gray-500" href="#example-scripts" title="Example scripts">Example scripts</a> <ul class="pl-2"></ul> </li><li><a class="mb-0.5 block break-words hover:underline active:text-gray-700 dark:active:text-gray-300 text-gray-500" href="#1-speech-recognition-asr" title="1. Speech Recognition (ASR)">1. Speech Recognition (ASR)</a> <ul class="pl-2"></ul> </li><li><a class="mb-0.5 block break-words hover:underline active:text-gray-700 dark:active:text-gray-300 text-gray-500" href="#2-language-identification" title="2. Language Identification">2. Language Identification</a> <ul class="pl-2"></ul> </li><li><a class="mb-0.5 block break-words hover:underline active:text-gray-700 dark:active:text-gray-300 text-gray-500" href="#3-retrieval" title="3. Retrieval">3. Retrieval</a> <ul class="pl-2"></ul> </li></ul> </li><li class="mb-3 text-sm last:mb-0"><a class="mb-1 block break-words font-semibold text-gray-700 hover:underline active:text-gray-900 dark:active:text-gray-200 [&>*]:break-words" href="#dataset-structure" title="Dataset Structure">Dataset Structure</a> <ul class="pl-1"><li><a class="mb-0.5 block break-words hover:underline active:text-gray-700 dark:active:text-gray-300 text-gray-500" href="#data-instances" title="Data Instances">Data Instances</a> <ul class="pl-2"></ul> </li><li><a class="mb-0.5 block break-words hover:underline active:text-gray-700 dark:active:text-gray-300 text-gray-500" href="#data-fields" title="Data Fields">Data Fields</a> <ul class="pl-2"></ul> </li><li><a class="mb-0.5 block break-words hover:underline active:text-gray-700 dark:active:text-gray-300 text-gray-500" href="#data-splits" title="Data Splits">Data Splits</a> <ul class="pl-2"></ul> </li></ul> </li><li class="mb-3 text-sm last:mb-0"><a class="mb-1 block break-words font-semibold text-gray-700 hover:underline active:text-gray-900 dark:active:text-gray-200 [&>*]:break-words" href="#dataset-creation" title="Dataset Creation">Dataset Creation</a> <ul class="pl-1"></ul> </li><li class="mb-3 text-sm last:mb-0"><a class="mb-1 block break-words font-semibold text-gray-700 hover:underline active:text-gray-900 dark:active:text-gray-200 [&>*]:break-words" href="#considerations-for-using-the-data" title="Considerations for Using the Data">Considerations for Using the Data</a> <ul class="pl-1"><li><a class="mb-0.5 block break-words hover:underline active:text-gray-700 dark:active:text-gray-300 text-gray-500" href="#social-impact-of-dataset" title="Social Impact of Dataset">Social Impact of Dataset</a> <ul class="pl-2"></ul> </li><li><a class="mb-0.5 block break-words hover:underline active:text-gray-700 dark:active:text-gray-300 text-gray-500" href="#discussion-of-biases" title="Discussion of Biases">Discussion of Biases</a> <ul class="pl-2"></ul> </li><li><a class="mb-0.5 block break-words hover:underline active:text-gray-700 dark:active:text-gray-300 text-gray-500" href="#other-known-limitations" title="Other Known Limitations">Other Known Limitations</a> <ul class="pl-2"></ul> </li></ul> </li><li class="mb-3 text-sm last:mb-0"><a class="mb-1 block break-words font-semibold text-gray-700 hover:underline active:text-gray-900 dark:active:text-gray-200 [&>*]:break-words" href="#additional-information" title="Additional Information">Additional Information</a> <ul class="pl-1"><li><a class="mb-0.5 block break-words hover:underline active:text-gray-700 dark:active:text-gray-300 text-gray-500" href="#citation-information" title="Citation Information">Citation Information</a> <ul class="pl-2"></ul> </li><li><a class="mb-0.5 block break-words hover:underline active:text-gray-700 dark:active:text-gray-300 text-gray-500" href="#contributions" title="Contributions">Contributions</a> <ul class="pl-2"></ul> </li></ul> </li></ul></nav></div></div></div></div></div> <div class="2xl:pr-6"><div class="prose pl-6 -ml-6 hf-sanitized hf-sanitized-Mi3G53jT9wHkYqVA69Vt6"> <h1 class="relative group flex items-center"> <a rel="nofollow" href="#fleurs" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="fleurs"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> FLEURS </span> </h1> <p>Fleurs is the speech version of the <a rel="nofollow" href="https://arxiv.org/abs/2106.03193">FLoRes machine translation benchmark</a>. We use 2009 n-way parallel sentences from the FLoRes dev and devtest publicly available sets, in 102 languages. </p> <p>Training sets have around 10 hours of supervision. Speakers of the train sets are different than speakers from the dev/test sets. Multilingual fine-tuning is used and ”unit error rate” (characters, signs) of all languages is averaged. Languages and results are also grouped into seven geographical areas: </p> <ul> <li><strong>Western Europe</strong>: <em>Asturian, Bosnian, Catalan, Croatian, Danish, Dutch, English, Finnish, French, Galician, German, Greek, Hungarian, Icelandic, Irish, Italian, Kabuverdianu, Luxembourgish, Maltese, Norwegian, Occitan, Portuguese, Spanish, Swedish, Welsh</em> </li> <li><strong>Eastern Europe</strong>: <em>Armenian, Belarusian, Bulgarian, Czech, Estonian, Georgian, Latvian, Lithuanian, Macedonian, Polish, Romanian, Russian, Serbian, Slovak, Slovenian, Ukrainian</em></li> <li><strong>Central-Asia/Middle-East/North-Africa</strong>: <em>Arabic, Azerbaijani, Hebrew, Kazakh, Kyrgyz, Mongolian, Pashto, Persian, Sorani-Kurdish, Tajik, Turkish, Uzbek</em></li> <li><strong>Sub-Saharan Africa</strong>: <em>Afrikaans, Amharic, Fula, Ganda, Hausa, Igbo, Kamba, Lingala, Luo, Northern-Sotho, Nyanja, Oromo, Shona, Somali, Swahili, Umbundu, Wolof, Xhosa, Yoruba, Zulu</em></li> <li><strong>South-Asia</strong>: <em>Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Nepali, Oriya, Punjabi, Sindhi, Tamil, Telugu, Urdu</em></li> <li><strong>South-East Asia</strong>: <em>Burmese, Cebuano, Filipino, Indonesian, Javanese, Khmer, Lao, Malay, Maori, Thai, Vietnamese</em></li> <li><strong>CJK languages</strong>: <em>Cantonese and Mandarin Chinese, Japanese, Korean</em></li> </ul> <h2 class="relative group flex items-center"> <a rel="nofollow" href="#how-to-use--supported-tasks" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="how-to-use--supported-tasks"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> How to use & Supported Tasks </span> </h2> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#how-to-use" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="how-to-use"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> How to use </span> </h3> <p>The <code>datasets</code> library allows you to load and pre-process your dataset in pure Python, at scale. The dataset can be downloaded and prepared in one call to your local drive by using the <code>load_dataset</code> function. </p> <p>For example, to download the Hindi config, simply specify the corresponding language config name (i.e., "hi_in" for Hindi):</p> <pre><code class="language-python"><span class="hljs-keyword">from</span> datasets <span class="hljs-keyword">import</span> load_dataset fleurs = load_dataset(<span class="hljs-string">"google/fleurs"</span>, <span class="hljs-string">"hi_in"</span>, split=<span class="hljs-string">"train"</span>) </code></pre> <p>Using the datasets library, you can also stream the dataset on-the-fly by adding a <code>streaming=True</code> argument to the <code>load_dataset</code> function call. Loading a dataset in streaming mode loads individual samples of the dataset at a time, rather than downloading the entire dataset to disk.</p> <pre><code class="language-python"><span class="hljs-keyword">from</span> datasets <span class="hljs-keyword">import</span> load_dataset fleurs = load_dataset(<span class="hljs-string">"google/fleurs"</span>, <span class="hljs-string">"hi_in"</span>, split=<span class="hljs-string">"train"</span>, streaming=<span class="hljs-literal">True</span>) <span class="hljs-built_in">print</span>(<span class="hljs-built_in">next</span>(<span class="hljs-built_in">iter</span>(fleurs))) </code></pre> <p><em>Bonus</em>: create a <a rel="nofollow" href="https://huggingface.co/docs/datasets/use_with_pytorch">PyTorch dataloader</a> directly with your own datasets (local/streamed).</p> <p>Local:</p> <pre><code class="language-python"><span class="hljs-keyword">from</span> datasets <span class="hljs-keyword">import</span> load_dataset <span class="hljs-keyword">from</span> torch.utils.data.sampler <span class="hljs-keyword">import</span> BatchSampler, RandomSampler fleurs = load_dataset(<span class="hljs-string">"google/fleurs"</span>, <span class="hljs-string">"hi_in"</span>, split=<span class="hljs-string">"train"</span>) batch_sampler = BatchSampler(RandomSampler(fleurs), batch_size=<span class="hljs-number">32</span>, drop_last=<span class="hljs-literal">False</span>) dataloader = DataLoader(fleurs, batch_sampler=batch_sampler) </code></pre> <p>Streaming:</p> <pre><code class="language-python"><span class="hljs-keyword">from</span> datasets <span class="hljs-keyword">import</span> load_dataset <span class="hljs-keyword">from</span> torch.utils.data <span class="hljs-keyword">import</span> DataLoader fleurs = load_dataset(<span class="hljs-string">"google/fleurs"</span>, <span class="hljs-string">"hi_in"</span>, split=<span class="hljs-string">"train"</span>) dataloader = DataLoader(fleurs, batch_size=<span class="hljs-number">32</span>) </code></pre> <p>To find out more about loading and preparing audio datasets, head over to <a rel="nofollow" href="https://huggingface.co/blog/audio-datasets">hf.co/blog/audio-datasets</a>.</p> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#example-scripts" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="example-scripts"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Example scripts </span> </h3> <p>Train your own CTC or Seq2Seq Automatic Speech Recognition models on FLEURS with <code>transformers</code> - <a rel="nofollow" href="https://github.com/huggingface/transformers/tree/main/examples/pytorch/speech-recognition">here</a>.</p> <p>Fine-tune your own Language Identification models on FLEURS with <code>transformers</code> - <a rel="nofollow" href="https://github.com/huggingface/transformers/tree/main/examples/pytorch/audio-classification">here</a></p> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#1-speech-recognition-asr" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="1-speech-recognition-asr"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> 1. Speech Recognition (ASR) </span> </h3> <pre><code class="language-py"><span class="hljs-keyword">from</span> datasets <span class="hljs-keyword">import</span> load_dataset fleurs_asr = load_dataset(<span class="hljs-string">"google/fleurs"</span>, <span class="hljs-string">"af_za"</span>) <span class="hljs-comment"># for Afrikaans</span> <span class="hljs-comment"># to download all data for multi-lingual fine-tuning uncomment following line</span> <span class="hljs-comment"># fleurs_asr = load_dataset("google/fleurs", "all")</span> <span class="hljs-comment"># see structure</span> <span class="hljs-built_in">print</span>(fleurs_asr) <span class="hljs-comment"># load audio sample on the fly</span> audio_input = fleurs_asr[<span class="hljs-string">"train"</span>][<span class="hljs-number">0</span>][<span class="hljs-string">"audio"</span>] <span class="hljs-comment"># first decoded audio sample</span> transcription = fleurs_asr[<span class="hljs-string">"train"</span>][<span class="hljs-number">0</span>][<span class="hljs-string">"transcription"</span>] <span class="hljs-comment"># first transcription</span> <span class="hljs-comment"># use `audio_input` and `transcription` to fine-tune your model for ASR</span> <span class="hljs-comment"># for analyses see language groups</span> all_language_groups = fleurs_asr[<span class="hljs-string">"train"</span>].features[<span class="hljs-string">"lang_group_id"</span>].names lang_group_id = fleurs_asr[<span class="hljs-string">"train"</span>][<span class="hljs-number">0</span>][<span class="hljs-string">"lang_group_id"</span>] all_language_groups[lang_group_id] </code></pre> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#2-language-identification" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="2-language-identification"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> 2. Language Identification </span> </h3> <p>LangID can often be a domain classification, but in the case of FLEURS-LangID, recordings are done in a similar setting across languages and the utterances correspond to n-way parallel sentences, in the exact same domain, making this task particularly relevant for evaluating LangID. The setting is simple, FLEURS-LangID is splitted in train/valid/test for each language. We simply create a single train/valid/test for LangID by merging all.</p> <pre><code class="language-py"><span class="hljs-keyword">from</span> datasets <span class="hljs-keyword">import</span> load_dataset fleurs_langID = load_dataset(<span class="hljs-string">"google/fleurs"</span>, <span class="hljs-string">"all"</span>) <span class="hljs-comment"># to download all data</span> <span class="hljs-comment"># see structure</span> <span class="hljs-built_in">print</span>(fleurs_langID) <span class="hljs-comment"># load audio sample on the fly</span> audio_input = fleurs_langID[<span class="hljs-string">"train"</span>][<span class="hljs-number">0</span>][<span class="hljs-string">"audio"</span>] <span class="hljs-comment"># first decoded audio sample</span> language_class = fleurs_langID[<span class="hljs-string">"train"</span>][<span class="hljs-number">0</span>][<span class="hljs-string">"lang_id"</span>] <span class="hljs-comment"># first id class</span> language = fleurs_langID[<span class="hljs-string">"train"</span>].features[<span class="hljs-string">"lang_id"</span>].names[language_class] <span class="hljs-comment"># use audio_input and language_class to fine-tune your model for audio classification</span> </code></pre> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#3-retrieval" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="3-retrieval"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> 3. Retrieval </span> </h3> <p>Retrieval provides n-way parallel speech and text data. Similar to how XTREME for text leverages Tatoeba to evaluate bitext mining a.k.a sentence translation retrieval, we use Retrieval to evaluate the quality of fixed-size representations of speech utterances. Our goal is to incentivize the creation of fixed-size speech encoder for speech retrieval. The system has to retrieve the English "key" utterance corresponding to the speech translation of "queries" in 15 languages. Results have to be reported on the test sets of Retrieval whose utterances are used as queries (and keys for English). We augment the English keys with a large number of utterances to make the task more difficult.</p> <pre><code class="language-py"><span class="hljs-keyword">from</span> datasets <span class="hljs-keyword">import</span> load_dataset fleurs_retrieval = load_dataset(<span class="hljs-string">"google/fleurs"</span>, <span class="hljs-string">"af_za"</span>) <span class="hljs-comment"># for Afrikaans</span> <span class="hljs-comment"># to download all data for multi-lingual fine-tuning uncomment following line</span> <span class="hljs-comment"># fleurs_retrieval = load_dataset("google/fleurs", "all")</span> <span class="hljs-comment"># see structure</span> <span class="hljs-built_in">print</span>(fleurs_retrieval) <span class="hljs-comment"># load audio sample on the fly</span> audio_input = fleurs_retrieval[<span class="hljs-string">"train"</span>][<span class="hljs-number">0</span>][<span class="hljs-string">"audio"</span>] <span class="hljs-comment"># decoded audio sample</span> text_sample_pos = fleurs_retrieval[<span class="hljs-string">"train"</span>][<span class="hljs-number">0</span>][<span class="hljs-string">"transcription"</span>] <span class="hljs-comment"># positive text sample</span> text_sample_neg = fleurs_retrieval[<span class="hljs-string">"train"</span>][<span class="hljs-number">1</span>:<span class="hljs-number">20</span>][<span class="hljs-string">"transcription"</span>] <span class="hljs-comment"># negative text samples</span> <span class="hljs-comment"># use `audio_input`, `text_sample_pos`, and `text_sample_neg` to fine-tune your model for retrieval</span> </code></pre> <p>Users can leverage the training (and dev) sets of FLEURS-Retrieval with a ranking loss to build better cross-lingual fixed-size representations of speech.</p> <h2 class="relative group flex items-center"> <a rel="nofollow" href="#dataset-structure" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="dataset-structure"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Dataset Structure </span> </h2> <p>We show detailed information the example configurations <code>af_za</code> of the dataset. All other configurations have the same structure.</p> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#data-instances" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="data-instances"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Data Instances </span> </h3> <p><strong>af_za</strong></p> <ul> <li>Size of downloaded dataset files: 1.47 GB</li> <li>Size of the generated dataset: 1 MB</li> <li>Total amount of disk used: 1.47 GB</li> </ul> <p>An example of a data instance of the config <code>af_za</code> looks as follows:</p> <pre><code>{'id': 91, 'num_samples': 385920, 'path': '/home/patrick/.cache/huggingface/datasets/downloads/extracted/310a663d52322700b3d3473cbc5af429bd92a23f9bc683594e70bc31232db39e/home/vaxelrod/FLEURS/oss2_obfuscated/af_za/audio/train/17797742076841560615.wav', 'audio': {'path': '/home/patrick/.cache/huggingface/datasets/downloads/extracted/310a663d52322700b3d3473cbc5af429bd92a23f9bc683594e70bc31232db39e/home/vaxelrod/FLEURS/oss2_obfuscated/af_za/audio/train/17797742076841560615.wav', 'array': array([ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ..., -1.1205673e-04, -8.4638596e-05, -1.2731552e-04], dtype=float32), 'sampling_rate': 16000}, 'raw_transcription': 'Dit is nog nie huidiglik bekend watter aantygings gemaak sal word of wat owerhede na die seun gelei het nie maar jeugmisdaad-verrigtinge het in die federale hof begin', 'transcription': 'dit is nog nie huidiglik bekend watter aantygings gemaak sal word of wat owerhede na die seun gelei het nie maar jeugmisdaad-verrigtinge het in die federale hof begin', 'gender': 0, 'lang_id': 0, 'language': 'Afrikaans', 'lang_group_id': 3} </code></pre> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#data-fields" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="data-fields"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Data Fields </span> </h3> <p>The data fields are the same among all splits.</p> <ul> <li><strong>id</strong> (int): ID of audio sample</li> <li><strong>num_samples</strong> (int): Number of float values</li> <li><strong>path</strong> (str): Path to the audio file</li> <li><strong>audio</strong> (dict): Audio object including loaded audio array, sampling rate and path ot audio</li> <li><strong>raw_transcription</strong> (str): The non-normalized transcription of the audio file</li> <li><strong>transcription</strong> (str): Transcription of the audio file</li> <li><strong>gender</strong> (int): Class id of gender</li> <li><strong>lang_id</strong> (int): Class id of language</li> <li><strong>lang_group_id</strong> (int): Class id of language group</li> </ul> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#data-splits" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="data-splits"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Data Splits </span> </h3> <p>Every config only has the <code>"train"</code> split containing of <em>ca.</em> 1000 examples, and a <code>"validation"</code> and <code>"test"</code> split each containing of <em>ca.</em> 400 examples.</p> <h2 class="relative group flex items-center"> <a rel="nofollow" href="#dataset-creation" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="dataset-creation"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Dataset Creation </span> </h2> <p>We collect between one and three recordings for each sentence (2.3 on average), and buildnew train-dev-test splits with 1509, 150 and 350 sentences for train, dev and test respectively.</p> <h2 class="relative group flex items-center"> <a rel="nofollow" href="#considerations-for-using-the-data" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="considerations-for-using-the-data"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Considerations for Using the Data </span> </h2> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#social-impact-of-dataset" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="social-impact-of-dataset"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Social Impact of Dataset </span> </h3> <p>This dataset is meant to encourage the development of speech technology in a lot more languages of the world. One of the goal is to give equal access to technologies like speech recognition or speech translation to everyone, meaning better dubbing or better access to content from the internet (like podcasts, streaming or videos).</p> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#discussion-of-biases" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="discussion-of-biases"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Discussion of Biases </span> </h3> <p>Most datasets have a fair distribution of gender utterances (e.g. the newly introduced FLEURS dataset). While many languages are covered from various regions of the world, the benchmark misses many languages that are all equally important. We believe technology built through FLEURS should generalize to all languages.</p> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#other-known-limitations" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="other-known-limitations"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Other Known Limitations </span> </h3> <p>The dataset has a particular focus on read-speech because common evaluation benchmarks like CoVoST-2 or LibriSpeech evaluate on this type of speech. There is sometimes a known mismatch between performance obtained in a read-speech setting and a more noisy setting (in production for instance). Given the big progress that remains to be made on many languages, we believe better performance on FLEURS should still correlate well with actual progress made for speech understanding.</p> <h2 class="relative group flex items-center"> <a rel="nofollow" href="#additional-information" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="additional-information"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Additional Information </span> </h2> <p>All datasets are licensed under the <a rel="nofollow" href="https://creativecommons.org/licenses/">Creative Commons license (CC-BY)</a>.</p> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#citation-information" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="citation-information"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Citation Information </span> </h3> <p>You can access the FLEURS paper at <a rel="nofollow" href="https://arxiv.org/abs/2205.12446">https://arxiv.org/abs/2205.12446</a>. Please cite the paper when referencing the FLEURS corpus as:</p> <pre><code>@article{fleurs2022arxiv, title = {FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech}, author = {Conneau, Alexis and Ma, Min and Khanuja, Simran and Zhang, Yu and Axelrod, Vera and Dalmia, Siddharth and Riesa, Jason and Rivera, Clara and Bapna, Ankur}, journal={arXiv preprint arXiv:2205.12446}, url = {https://arxiv.org/abs/2205.12446}, year = {2022}, </code></pre> <h3 class="relative group flex items-center"> <a rel="nofollow" href="#contributions" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" id="contributions"> <span class="header-link"><svg viewBox="0 0 256 256" preserveAspectRatio="xMidYMid meet" height="1em" width="1em" role="img" aria-hidden="true" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4"><path fill="currentColor" d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z"></path></svg></span> </a> <span> Contributions </span> </h3> <p>Thanks to <a rel="nofollow" href="https://github.com/patrickvonplaten">@patrickvonplaten</a> and <a rel="nofollow" href="https://github.com/aconneau">@aconneau</a> for adding this dataset.</p> </div> </div></section> <section class="pt-6 border-gray-100 md:pb-24 md:pl-6 md:w-64 lg:w-80 xl:w-96 flex-none order-first md:order-none md:border-l !pt-3 md:!pt-6"><dl class="flex items-baseline justify-between"><dt class="text-sm text-gray-500">Downloads last month</dt><div class="mx-4 flex-1 border-b border-dotted"></div><dd class="font-semibold">24,079</dd></dl> <div class="divider-column-vertical"></div> <div class="grid grid-cols-2 gap-x-2 md:flex md:flex-row md:flex-wrap"><div class="SVELTE_HYDRATER contents" data-target="DatasetAndModelActionsDropdown" data-props="{"classNames":"order-last","discussionsDisabled":false,"repo":{"type":"dataset","name":"google/fleurs"},"canWrite":false,"canDisable":false,"repoIsPrivate":false,"repoIsGated":false,"repoIsDisabled":false,"repoIsAdminFlaggedNFAA":false,"repoHasBlockedOids":false}"><div class="order-last"><div class="relative "> <button class="btn px-1.5 py-1.5 " type="button"> <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" class="p-0.5" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><circle cx="16" cy="7" r="3" fill="currentColor"></circle><circle cx="16" cy="16" r="3" fill="currentColor"></circle><circle cx="16" cy="25" r="3" fill="currentColor"></circle></svg> </button> </div></div> </div> <div class="SVELTE_HYDRATER contents" data-target="DatasetLibrary" data-props="{"classNames":"md:w-full xl:w-auto xl:flex-none"}"> </div> </div> <div class="divider-column-vertical"></div> <div class="flex flex-col flex-wrap xl:flex-row"><a class="group mb-1.5 flex max-w-full flex-col overflow-hidden rounded-lg border border-gray-100 bg-gradient-to-r from-white via-white to-white px-2 py-1 hover:from-gray-50 dark:from-gray-900 dark:to-gray-925 dark:hover:to-gray-900 md:mr-1.5 " href="https://github.com/huggingface/transformers/tree/main/examples/pytorch/speech-recognition" rel="nofollow" target="_blank"><div class="truncate text-xs text-gray-400">Fine-Tuning script:</div> <div class="truncate text-sm group-hover:underline"> pytorch/speech-recognition</div></a><a class="group mb-1.5 flex max-w-full flex-col overflow-hidden rounded-lg border border-gray-100 bg-gradient-to-r from-white via-white to-white px-2 py-1 hover:from-gray-50 dark:from-gray-900 dark:to-gray-925 dark:hover:to-gray-900 md:mr-1.5 " href="https://arxiv.org/abs/2205.12446" rel="nofollow" target="_blank"><div class="truncate text-xs text-gray-400">Paper:</div> <div class="truncate text-sm group-hover:underline"> FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech</div></a></div> <div class="divider-column-vertical"></div> <h2 class="mb-5 flex items-baseline overflow-hidden whitespace-nowrap text-smd font-semibold text-gray-800"><svg class="mr-1.5 text-sm inline self-center flex-none text-gray-400" style="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 24 24"><path class="uim-quaternary" d="M20.23 7.24L12 12L3.77 7.24a1.98 1.98 0 0 1 .7-.71L11 2.76c.62-.35 1.38-.35 2 0l6.53 3.77c.29.173.531.418.7.71z" opacity=".25" fill="currentColor"></path><path class="uim-tertiary" d="M12 12v9.5a2.09 2.09 0 0 1-.91-.21L4.5 17.48a2.003 2.003 0 0 1-1-1.73v-7.5a2.06 2.06 0 0 1 .27-1.01L12 12z" opacity=".5" fill="currentColor"></path><path class="uim-primary" d="M20.5 8.25v7.5a2.003 2.003 0 0 1-1 1.73l-6.62 3.82c-.275.13-.576.198-.88.2V12l8.23-4.76c.175.308.268.656.27 1.01z" fill="currentColor"></path></svg> Models trained or fine-tuned on <span class="ml-1 truncate font-mono text-[0.87rem] font-medium">google/fleurs</span></h2> <div class="space-y-3"><div class=""><article class="overview-card-wrapper group/repo "><a class="flex items-center justify-between gap-4 p-2" href="/bofenghuang/whisper-large-v3-french"><div class="w-full truncate"><header class="flex items-center mb-1" title="bofenghuang/whisper-large-v3-french"> <img alt="" class="w-3 h-3 rounded-full mr-1.5 flex-none flex-none" src="/avatars/ea3c8a9f178dfc1df3f75d71ecbe39dd.svg" crossorigin="anonymous"> <h4 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3.69603 8.38893 3.42133ZM5.05551 2.58986C5.63108 2.20527 6.30777 2 7 2C7.92826 2 8.8185 2.36875 9.47488 3.02513C10.1313 3.6815 10.5 4.57174 10.5 5.5C10.5 6.19223 10.2947 6.86892 9.91015 7.4445C9.52556 8.02007 8.97894 8.46867 8.33939 8.73358C7.69985 8.99849 6.99612 9.0678 6.31719 8.93275C5.63825 8.7977 5.01461 8.46436 4.52513 7.97487C4.03564 7.48539 3.7023 6.86175 3.56725 6.18282C3.4322 5.50388 3.50152 4.80015 3.76642 4.16061C4.03133 3.52107 4.47993 2.97444 5.05551 2.58986ZM14.85 9.6425L15.7075 10.5C15.8005 10.5927 15.8743 10.7029 15.9245 10.8242C15.9747 10.9456 16.0004 11.0757 16 11.207V16H2V13.5C2.00106 12.5721 2.37015 11.6824 3.0263 11.0263C3.68244 10.3701 4.57207 10.0011 5.5 10H8.5C9.42793 10.0011 10.3176 10.3701 10.9737 11.0263C11.6299 11.6824 11.9989 12.5721 12 13.5V15H15V11.207L14.143 10.35C13.9426 10.4476 13.7229 10.4989 13.5 10.5C13.2033 10.5 12.9133 10.412 12.6666 10.2472C12.42 10.0824 12.2277 9.84811 12.1142 9.57403C12.0006 9.29994 11.9709 8.99834 12.0288 8.70737C12.0867 8.41639 12.2296 8.14912 12.4393 7.93934C12.6491 7.72956 12.9164 7.5867 13.2074 7.52882C13.4983 7.47094 13.7999 7.50065 14.074 7.61418C14.3481 7.72771 14.5824 7.91997 14.7472 8.16665C14.912 8.41332 15 8.70333 15 9C14.9988 9.22271 14.9475 9.44229 14.85 9.6425ZM3.73311 11.7331C3.26444 12.2018 3.00079 12.8372 3 13.5V15H11V13.5C10.9992 12.8372 10.7356 12.2018 10.2669 11.7331C9.79822 11.2644 9.1628 11.0008 8.5 11H5.5C4.8372 11.0008 4.20178 11.2644 3.73311 11.7331Z" fill="currentColor"></path></svg> Automatic Speech Recognition <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <span class="truncate">Updated <time datetime="2024-02-05T15:47:57" title="Mon, 05 Feb 2024 15:47:57 GMT">Feb 5</time></span> <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg class="flex-none w-3 text-gray-400 mr-0.5" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" viewBox="0 0 32 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5.99445 4.64662 6.4778 4.92133 6.88893C5.19603 7.30005 5.58648 7.62048 6.04329 7.8097C6.50011 7.99892 7.00278 8.04843 7.48773 7.95196C7.97268 7.8555 8.41814 7.6174 8.76777 7.26777C9.1174 6.91814 9.3555 6.47268 9.45197 5.98773C9.54843 5.50277 9.49892 5.00011 9.3097 4.54329C9.12048 4.08648 8.80005 3.69603 8.38893 3.42133ZM5.05551 2.58986C5.63108 2.20527 6.30777 2 7 2C7.92826 2 8.8185 2.36875 9.47488 3.02513C10.1313 3.6815 10.5 4.57174 10.5 5.5C10.5 6.19223 10.2947 6.86892 9.91015 7.4445C9.52556 8.02007 8.97894 8.46867 8.33939 8.73358C7.69985 8.99849 6.99612 9.0678 6.31719 8.93275C5.63825 8.7977 5.01461 8.46436 4.52513 7.97487C4.03564 7.48539 3.7023 6.86175 3.56725 6.18282C3.4322 5.50388 3.50152 4.80015 3.76642 4.16061C4.03133 3.52107 4.47993 2.97444 5.05551 2.58986ZM14.85 9.6425L15.7075 10.5C15.8005 10.5927 15.8743 10.7029 15.9245 10.8242C15.9747 10.9456 16.0004 11.0757 16 11.207V16H2V13.5C2.00106 12.5721 2.37015 11.6824 3.0263 11.0263C3.68244 10.3701 4.57207 10.0011 5.5 10H8.5C9.42793 10.0011 10.3176 10.3701 10.9737 11.0263C11.6299 11.6824 11.9989 12.5721 12 13.5V15H15V11.207L14.143 10.35C13.9426 10.4476 13.7229 10.4989 13.5 10.5C13.2033 10.5 12.9133 10.412 12.6666 10.2472C12.42 10.0824 12.2277 9.84811 12.1142 9.57403C12.0006 9.29994 11.9709 8.99834 12.0288 8.70737C12.0867 8.41639 12.2296 8.14912 12.4393 7.93934C12.6491 7.72956 12.9164 7.5867 13.2074 7.52882C13.4983 7.47094 13.7999 7.50065 14.074 7.61418C14.3481 7.72771 14.5824 7.91997 14.7472 8.16665C14.912 8.41332 15 8.70333 15 9C14.9988 9.22271 14.9475 9.44229 14.85 9.6425ZM3.73311 11.7331C3.26444 12.2018 3.00079 12.8372 3 13.5V15H11V13.5C10.9992 12.8372 10.7356 12.2018 10.2669 11.7331C9.79822 11.2644 9.1628 11.0008 8.5 11H5.5C4.8372 11.0008 4.20178 11.2644 3.73311 11.7331Z" fill="currentColor"></path></svg> Automatic Speech Recognition <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <span class="truncate">Updated <time datetime="2023-06-15T10:45:44" title="Thu, 15 Jun 2023 10:45:44 GMT">Jun 15, 2023</time></span> <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg class="flex-none w-3 text-gray-400 mr-0.5" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" viewBox="0 0 32 32"><path fill="currentColor" d="M26 24v4H6v-4H4v4a2 2 0 0 0 2 2h20a2 2 0 0 0 2-2v-4zm0-10l-1.41-1.41L17 20.17V2h-2v18.17l-7.59-7.58L6 14l10 10l10-10z"></path></svg> 122k <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg class="flex-none w-3 text-gray-400 mr-1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32" fill="currentColor"><path d="M22.45,6a5.47,5.47,0,0,1,3.91,1.64,5.7,5.7,0,0,1,0,8L16,26.13,5.64,15.64a5.7,5.7,0,0,1,0-8,5.48,5.48,0,0,1,7.82,0L16,10.24l2.53-2.58A5.44,5.44,0,0,1,22.45,6m0-2a7.47,7.47,0,0,0-5.34,2.24L16,7.36,14.89,6.24a7.49,7.49,0,0,0-10.68,0,7.72,7.72,0,0,0,0,10.82L16,29,27.79,17.06a7.72,7.72,0,0,0,0-10.82A7.49,7.49,0,0,0,22.45,4Z"></path></svg> 113 </div></div> </a></article> </div><div class=""><article class="overview-card-wrapper group/repo "><a class="flex items-center justify-between gap-4 p-2" href="/facebook/mms-300m"><div class="w-full truncate"><header class="flex items-center mb-1" title="facebook/mms-300m"> <img alt="" class="w-3 h-3 rounded mr-1.5 flex-none flex-none" src="https://cdn-avatars.huggingface.co/v1/production/uploads/1592839207516-noauth.png" crossorigin="anonymous"> <h4 class="text-md truncate font-mono text-black dark:group-hover/repo:text-yellow-500 group-hover/repo:text-indigo-600 text-sm">facebook/mms-300m</h4> </header> <div class="mr-1 flex items-center overflow-hidden whitespace-nowrap text-sm leading-tight text-gray-400"> <span class="truncate">Updated <time datetime="2023-06-05T10:23:32" title="Mon, 05 Jun 2023 10:23:32 GMT">Jun 5, 2023</time></span> <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg class="flex-none w-3 text-gray-400 mr-0.5" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" viewBox="0 0 32 32"><path fill="currentColor" d="M26 24v4H6v-4H4v4a2 2 0 0 0 2 2h20a2 2 0 0 0 2-2v-4zm0-10l-1.41-1.41L17 20.17V2h-2v18.17l-7.59-7.58L6 14l10 10l10-10z"></path></svg> 27.8k <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg class="flex-none w-3 text-gray-400 mr-1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32" fill="currentColor"><path d="M22.45,6a5.47,5.47,0,0,1,3.91,1.64,5.7,5.7,0,0,1,0,8L16,26.13,5.64,15.64a5.7,5.7,0,0,1,0-8,5.48,5.48,0,0,1,7.82,0L16,10.24l2.53-2.58A5.44,5.44,0,0,1,22.45,6m0-2a7.47,7.47,0,0,0-5.34,2.24L16,7.36,14.89,6.24a7.49,7.49,0,0,0-10.68,0,7.72,7.72,0,0,0,0,10.82L16,29,27.79,17.06a7.72,7.72,0,0,0,0-10.82A7.49,7.49,0,0,0,22.45,4Z"></path></svg> 32 </div></div> </a></article> </div><div class=""><article class="overview-card-wrapper group/repo "><a class="flex items-center justify-between gap-4 p-2" href="/facebook/mms-lid-256"><div class="w-full truncate"><header class="flex items-center mb-1" title="facebook/mms-lid-256"> <img alt="" class="w-3 h-3 rounded mr-1.5 flex-none flex-none" src="https://cdn-avatars.huggingface.co/v1/production/uploads/1592839207516-noauth.png" crossorigin="anonymous"> <h4 class="text-md truncate font-mono text-black dark:group-hover/repo:text-yellow-500 group-hover/repo:text-indigo-600 text-sm">facebook/mms-lid-256</h4> </header> <div class="mr-1 flex items-center overflow-hidden whitespace-nowrap text-sm leading-tight text-gray-400"> <svg class="mr-1.5 text-[.8rem]" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M25 4H10a2.002 2.002 0 0 0-2 2v14.556A3.955 3.955 0 0 0 6 20a4 4 0 1 0 4 4V12h15v8.556A3.954 3.954 0 0 0 23 20a4 4 0 1 0 4 4V6a2.002 2.002 0 0 0-2-2zM6 26a2 2 0 1 1 2-2a2.002 2.002 0 0 1-2 2zm17 0a2 2 0 1 1 2-2a2.003 2.003 0 0 1-2 2zM10 6h15v4H10z" fill="currentColor"></path></svg> Audio Classification <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <span class="truncate">Updated <time datetime="2023-06-13T10:16:04" title="Tue, 13 Jun 2023 10:16:04 GMT">Jun 13, 2023</time></span> <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg class="flex-none w-3 text-gray-400 mr-0.5" xmlns="http://www.w3.org/2000/svg" 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</a></article> </div><div class="hidden md:block"><article class="overview-card-wrapper group/repo "><a class="flex items-center justify-between gap-4 p-2" href="/biodatlab/whisper-th-medium-combined"><div class="w-full truncate"><header class="flex items-center mb-1" title="biodatlab/whisper-th-medium-combined"> <img alt="" class="w-3 h-3 rounded mr-1.5 flex-none flex-none" src="https://cdn-avatars.huggingface.co/v1/production/uploads/1670162733999-60463da3bf4228131223a747.png" crossorigin="anonymous"> <h4 class="text-md truncate font-mono text-black dark:group-hover/repo:text-yellow-500 group-hover/repo:text-indigo-600 text-sm">biodatlab/whisper-th-medium-combined</h4> </header> <div class="mr-1 flex items-center overflow-hidden whitespace-nowrap text-sm leading-tight text-gray-400"> <svg class="mr-1.5 text-[.8rem]" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 18 18"><path fill-rule="evenodd" clip-rule="evenodd" d="M8.38893 3.42133C7.9778 3.14662 7.49446 3 7 3C6.33696 3 5.70108 3.26339 5.23223 3.73223C4.76339 4.20107 4.5 4.83696 4.5 5.5C4.5 5.99445 4.64662 6.4778 4.92133 6.88893C5.19603 7.30005 5.58648 7.62048 6.04329 7.8097C6.50011 7.99892 7.00278 8.04843 7.48773 7.95196C7.97268 7.8555 8.41814 7.6174 8.76777 7.26777C9.1174 6.91814 9.3555 6.47268 9.45197 5.98773C9.54843 5.50277 9.49892 5.00011 9.3097 4.54329C9.12048 4.08648 8.80005 3.69603 8.38893 3.42133ZM5.05551 2.58986C5.63108 2.20527 6.30777 2 7 2C7.92826 2 8.8185 2.36875 9.47488 3.02513C10.1313 3.6815 10.5 4.57174 10.5 5.5C10.5 6.19223 10.2947 6.86892 9.91015 7.4445C9.52556 8.02007 8.97894 8.46867 8.33939 8.73358C7.69985 8.99849 6.99612 9.0678 6.31719 8.93275C5.63825 8.7977 5.01461 8.46436 4.52513 7.97487C4.03564 7.48539 3.7023 6.86175 3.56725 6.18282C3.4322 5.50388 3.50152 4.80015 3.76642 4.16061C4.03133 3.52107 4.47993 2.97444 5.05551 2.58986ZM14.85 9.6425L15.7075 10.5C15.8005 10.5927 15.8743 10.7029 15.9245 10.8242C15.9747 10.9456 16.0004 11.0757 16 11.207V16H2V13.5C2.00106 12.5721 2.37015 11.6824 3.0263 11.0263C3.68244 10.3701 4.57207 10.0011 5.5 10H8.5C9.42793 10.0011 10.3176 10.3701 10.9737 11.0263C11.6299 11.6824 11.9989 12.5721 12 13.5V15H15V11.207L14.143 10.35C13.9426 10.4476 13.7229 10.4989 13.5 10.5C13.2033 10.5 12.9133 10.412 12.6666 10.2472C12.42 10.0824 12.2277 9.84811 12.1142 9.57403C12.0006 9.29994 11.9709 8.99834 12.0288 8.70737C12.0867 8.41639 12.2296 8.14912 12.4393 7.93934C12.6491 7.72956 12.9164 7.5867 13.2074 7.52882C13.4983 7.47094 13.7999 7.50065 14.074 7.61418C14.3481 7.72771 14.5824 7.91997 14.7472 8.16665C14.912 8.41332 15 8.70333 15 9C14.9988 9.22271 14.9475 9.44229 14.85 9.6425ZM3.73311 11.7331C3.26444 12.2018 3.00079 12.8372 3 13.5V15H11V13.5C10.9992 12.8372 10.7356 12.2018 10.2669 11.7331C9.79822 11.2644 9.1628 11.0008 8.5 11H5.5C4.8372 11.0008 4.20178 11.2644 3.73311 11.7331Z" fill="currentColor"></path></svg> Automatic Speech Recognition <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <span class="truncate">Updated <time datetime="2024-02-20T05:08:36" title="Tue, 20 Feb 2024 05:08:36 GMT">Feb 20</time></span> <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg class="flex-none w-3 text-gray-400 mr-0.5" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" viewBox="0 0 32 32"><path fill="currentColor" d="M26 24v4H6v-4H4v4a2 2 0 0 0 2 2h20a2 2 0 0 0 2-2v-4zm0-10l-1.41-1.41L17 20.17V2h-2v18.17l-7.59-7.58L6 14l10 10l10-10z"></path></svg> 7.36k <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg class="flex-none w-3 text-gray-400 mr-1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32" fill="currentColor"><path d="M22.45,6a5.47,5.47,0,0,1,3.91,1.64,5.7,5.7,0,0,1,0,8L16,26.13,5.64,15.64a5.7,5.7,0,0,1,0-8,5.48,5.48,0,0,1,7.82,0L16,10.24l2.53-2.58A5.44,5.44,0,0,1,22.45,6m0-2a7.47,7.47,0,0,0-5.34,2.24L16,7.36,14.89,6.24a7.49,7.49,0,0,0-10.68,0,7.72,7.72,0,0,0,0,10.82L16,29,27.79,17.06a7.72,7.72,0,0,0,0-10.82A7.49,7.49,0,0,0,22.45,4Z"></path></svg> 15 </div></div> </a></article> </div><div class="hidden md:block"><article class="overview-card-wrapper group/repo "><a class="flex items-center justify-between gap-4 p-2" href="/bofenghuang/whisper-large-v3-french-distil-dec8"><div class="w-full truncate"><header class="flex items-center mb-1" title="bofenghuang/whisper-large-v3-french-distil-dec8"> <img alt="" class="w-3 h-3 rounded-full mr-1.5 flex-none flex-none" src="/avatars/ea3c8a9f178dfc1df3f75d71ecbe39dd.svg" crossorigin="anonymous"> <h4 class="text-md truncate font-mono text-black dark:group-hover/repo:text-yellow-500 group-hover/repo:text-indigo-600 text-sm">bofenghuang/whisper-large-v3-french-distil-dec8</h4> </header> <div class="mr-1 flex items-center overflow-hidden whitespace-nowrap text-sm leading-tight text-gray-400"> <svg class="mr-1.5 text-[.8rem]" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 18 18"><path fill-rule="evenodd" clip-rule="evenodd" d="M8.38893 3.42133C7.9778 3.14662 7.49446 3 7 3C6.33696 3 5.70108 3.26339 5.23223 3.73223C4.76339 4.20107 4.5 4.83696 4.5 5.5C4.5 5.99445 4.64662 6.4778 4.92133 6.88893C5.19603 7.30005 5.58648 7.62048 6.04329 7.8097C6.50011 7.99892 7.00278 8.04843 7.48773 7.95196C7.97268 7.8555 8.41814 7.6174 8.76777 7.26777C9.1174 6.91814 9.3555 6.47268 9.45197 5.98773C9.54843 5.50277 9.49892 5.00011 9.3097 4.54329C9.12048 4.08648 8.80005 3.69603 8.38893 3.42133ZM5.05551 2.58986C5.63108 2.20527 6.30777 2 7 2C7.92826 2 8.8185 2.36875 9.47488 3.02513C10.1313 3.6815 10.5 4.57174 10.5 5.5C10.5 6.19223 10.2947 6.86892 9.91015 7.4445C9.52556 8.02007 8.97894 8.46867 8.33939 8.73358C7.69985 8.99849 6.99612 9.0678 6.31719 8.93275C5.63825 8.7977 5.01461 8.46436 4.52513 7.97487C4.03564 7.48539 3.7023 6.86175 3.56725 6.18282C3.4322 5.50388 3.50152 4.80015 3.76642 4.16061C4.03133 3.52107 4.47993 2.97444 5.05551 2.58986ZM14.85 9.6425L15.7075 10.5C15.8005 10.5927 15.8743 10.7029 15.9245 10.8242C15.9747 10.9456 16.0004 11.0757 16 11.207V16H2V13.5C2.00106 12.5721 2.37015 11.6824 3.0263 11.0263C3.68244 10.3701 4.57207 10.0011 5.5 10H8.5C9.42793 10.0011 10.3176 10.3701 10.9737 11.0263C11.6299 11.6824 11.9989 12.5721 12 13.5V15H15V11.207L14.143 10.35C13.9426 10.4476 13.7229 10.4989 13.5 10.5C13.2033 10.5 12.9133 10.412 12.6666 10.2472C12.42 10.0824 12.2277 9.84811 12.1142 9.57403C12.0006 9.29994 11.9709 8.99834 12.0288 8.70737C12.0867 8.41639 12.2296 8.14912 12.4393 7.93934C12.6491 7.72956 12.9164 7.5867 13.2074 7.52882C13.4983 7.47094 13.7999 7.50065 14.074 7.61418C14.3481 7.72771 14.5824 7.91997 14.7472 8.16665C14.912 8.41332 15 8.70333 15 9C14.9988 9.22271 14.9475 9.44229 14.85 9.6425ZM3.73311 11.7331C3.26444 12.2018 3.00079 12.8372 3 13.5V15H11V13.5C10.9992 12.8372 10.7356 12.2018 10.2669 11.7331C9.79822 11.2644 9.1628 11.0008 8.5 11H5.5C4.8372 11.0008 4.20178 11.2644 3.73311 11.7331Z" fill="currentColor"></path></svg> Automatic Speech Recognition <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <span class="truncate">Updated <time datetime="2024-03-03T20:29:07" title="Sun, 03 Mar 2024 20:29:07 GMT">Mar 3</time></span> <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg class="flex-none w-3 text-gray-400 mr-0.5" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" viewBox="0 0 32 32"><path fill="currentColor" d="M26 24v4H6v-4H4v4a2 2 0 0 0 2 2h20a2 2 0 0 0 2-2v-4zm0-10l-1.41-1.41L17 20.17V2h-2v18.17l-7.59-7.58L6 14l10 10l10-10z"></path></svg> 5.67k <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg class="flex-none w-3 text-gray-400 mr-1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32" fill="currentColor"><path d="M22.45,6a5.47,5.47,0,0,1,3.91,1.64,5.7,5.7,0,0,1,0,8L16,26.13,5.64,15.64a5.7,5.7,0,0,1,0-8,5.48,5.48,0,0,1,7.82,0L16,10.24l2.53-2.58A5.44,5.44,0,0,1,22.45,6m0-2a7.47,7.47,0,0,0-5.34,2.24L16,7.36,14.89,6.24a7.49,7.49,0,0,0-10.68,0,7.72,7.72,0,0,0,0,10.82L16,29,27.79,17.06a7.72,7.72,0,0,0,0-10.82A7.49,7.49,0,0,0,22.45,4Z"></path></svg> 3 </div></div> </a></article> </div> <a class="flex items-center pt-1 text-sm text-gray-500 underline hover:text-gray-700" href="/models?dataset=dataset:google/fleurs">Browse 316 models trained on this dataset </a></div> 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25.5824 28.0003H17.0635H14.9367H6.41775C5.08246 28.0003 4 26.9177 4 25.5824V15.1587V14.9367V6.41775ZM7.80952 7.80952V13.254H13.254V7.80952H7.80952ZM7.80952 24.1907V18.7462H13.254V24.1907H7.80952ZM18.7462 24.1907V18.7462H24.1907V24.1907H18.7462ZM18.7462 10.5317C18.7462 9.0283 19.9651 7.80952 21.4685 7.80952C22.9719 7.80952 24.1907 9.0283 24.1907 10.5317C24.1907 12.0352 22.9719 13.254 21.4685 13.254C19.9651 13.254 18.7462 12.0352 18.7462 10.5317Z" fill="black"></path><path d="M21.4681 7.80982C19.9647 7.80982 18.7458 9.02861 18.7458 10.5321C18.7458 12.0355 19.9647 13.2543 21.4681 13.2543C22.9715 13.2543 24.1903 12.0355 24.1903 10.5321C24.1903 9.02861 22.9715 7.80982 21.4681 7.80982Z" fill="#FFD702"></path></svg> Space using <span class="ml-1 truncate font-mono text-[0.86rem] font-medium">google/fleurs</span> <span class="ml-3 font-normal text-gray-400">1</span></h2> <div class="SVELTE_HYDRATER contents" data-target="LinkedSpacesList" 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