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AkshitaS/facebook_mlqa_plus

Source Dataset Link: facebook/mlqa Revision: 397ed406c1a7902140303e7faf60fff35b58d285 MLQAMLQA (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… See the full description on the dataset page: https://huggingface.co/datasets/AkshitaS/facebook_mlqa_plus.

sourceHugging Facecc-by-sa-3.0updated 2y agoView on Hugging Face
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Source Dataset

  • —Link: 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.