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apple-aiml-research/ml-mkqa avatar

apple-aiml-research/ml-mkqa

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We introduce MKQA, an open-domain question answering evaluation set comprising 10k question-answer pairs aligned across 26 typologically diverse languages (260k question-answer pairs in total). The goal of this dataset is to provide a challenging benchmark for question answering quality across a wide set of languages. Please refer to our paper for details, MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering

Python196 stars21 forksApache-2.0
datasetmultilingual-evaluationnlp

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apple-aiml-research/ml-mkqa has 196 GitHub stars.

It currently ranks #21767 daily, #22484 weekly, #24934 monthly by momentum on Trending Repos; its best-ever rank is #16089.

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#217670.0
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#224840.0
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#249340.0
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