Omkar2118/datasets huggingface dataset:
MLQA
Full name: MultiLingual Question Answering

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.

Source: [Facebook Research](https://github.com/facebookresearch/mlqa)
Image Source: [https://github.com/facebookresearch/mlqa](https://github.com/facebookresearch/mlqa)

Introducing paper: MLQA: Evaluating Cross-lingual Extractive Question Answering