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AkshitaS
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facebook_mlqa_plus

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Question Answering

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AkshitaS commited on Jun 13

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 - zh
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-Source Dataset : [facebook/mlqa](https://huggingface.co/datasets/facebook/mlqa)
 MLQA (MultiLingual Question Answering) is a benchmark dataset for evaluating cross-lingual question answering performance.
 MLQA consists of over 5K extractive QA instances (12K in English) in SQuAD format in seven languages - English, Arabic,
 German, Spanish, Hindi, Vietnamese and Simplified Chinese. MLQA is highly parallel, with QA instances parallel between
 4 different languages on average.
 MLQA Plus additionally has hin_Latn data generated using indictrans library.

 - zh
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+**Source Dataset**
+- Link: [facebook/mlqa](https://huggingface.co/datasets/facebook/mlqa)
+- Revision: `397ed406c1a7902140303e7faf60fff35b58d285`
+**MLQA**
 MLQA (MultiLingual Question Answering) is a benchmark dataset for evaluating cross-lingual question answering performance.
 MLQA consists of over 5K extractive QA instances (12K in English) in SQuAD format in seven languages - English, Arabic,
 German, Spanish, Hindi, Vietnamese and Simplified Chinese. MLQA is highly parallel, with QA instances parallel between
 4 different languages on average.
+**MLQA Plus**
 MLQA Plus additionally has hin_Latn data generated using indictrans library.