Dataset · Hugging Face
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.
| Author / organization | |
|---|---|
| License (as declared) | cc-by-sa-3.0 |
| Downloads | 3.8K (as reported by Hugging Face) |
| Likes | 45 |
| Created | 2 March 2022 |
| Last updated at source | 18 January 2024 |
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