Natural Language Processing
brightmart/nlp_chinese_corpus
▲ +2 ★ this week
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OtherMITupdated Feb 6, 2026
🏆 #4,534 overall#1637 of 2,559 in Natural Language Processing
apple-aiml-research /ml-mkqa
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
$ git clone https://github.com/apple-aiml-research/ml-mkqa.gitStars
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Language
Python
License
Apache-2.0
Created
Jul 30, 2020
6.3 years old
Last push
Sep 11, 2026
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Data from GitHub · snapshot Nov 13, 2026