Datasets:
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README.md
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license: cc-by-sa-3.0
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source_datasets:
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- facebook/mlqa
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configs:
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- config_name: ara_Arab
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data_files:
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- es
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- vi
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- zh
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---
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license: cc-by-sa-3.0
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configs:
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- config_name: ara_Arab
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data_files:
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- es
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- vi
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- zh
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Source Dataset : [facebook/mlqa](https://huggingface.co/datasets/facebook/mlqa)
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MLQA (MultiLingual Question Answering) is a benchmark dataset for evaluating cross-lingual question answering performance.
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MLQA consists of over 5K extractive QA instances (12K in English) in SQuAD format in seven languages - English, Arabic,
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German, Spanish, Hindi, Vietnamese and Simplified Chinese. MLQA is highly parallel, with QA instances parallel between
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4 different languages on average.
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MLQA Plus additionally has hin_Latn data generated using indictrans library.
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