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README.md
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title: README
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---
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title: README
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<div class="grid lg:grid-cols-3 gap-x-4 gap-y-7">
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<p class="lg:col-span-3">
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XTREME-S is a benchmark for evaluating universal cross-lingual speech representations in many languages. XTREME-S consists of:
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</p>
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<a
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href="https://arxiv.org/abs/2203.10752"
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class="block overflow-hidden"
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>
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<div class="flex items-center h-40 rounded-lg px-4 mb-2" style="background-color: #FAFBFC;">
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<pre
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class="break-words leading-1 whitespace-pre-line text-xl text-gray-800">
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📚 Paper
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</pre>
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</div>
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</a>
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<a href="https://huggingface.co/datasets/xtreme-s/datasets" class="block overflow-hidden group">
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<div class="flex items-center h-40 rounded-lg px-4 mb-2" style="background-color: #FAFBFC;">
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<pre
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class="break-words leading-1 whitespace-pre-line text-xl text-gray-800">
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🤗 Datasets
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</pre>
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</div>
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</a>
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<a
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href="https://huggingface.co/spaces/xtreme-s/leaderboard"
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class="block overflow-hidden group"
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>
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<div class="flex items-center h-40 rounded-lg px-4 mb-2" style="background-color: #FAFBFC;">
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<pre
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class="break-words leading-1 whitespace-pre-line text-xl text-gray-800">
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🏆 Leaderboard
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</pre>
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</div>
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</a>
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<p class="lg:col-span-3">
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XTREME-S covers four task families: speech recognition, classification, speech-to-text translation and retrieval. Covering 102 languages from 10+ language families, 3 different domains and 4 task families, XTREME-S aims to simplify multilingual speech representation evaluation, as well as catalyze research in "universal" speech representation learning.
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XTREME-S was proposed in the paper *XTREME-S: Evaluating Cross-lingual Speech Representations* by Conneua et. al. in 2022.
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</p>
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</div>
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