{
  "citation": "@article{lewis2019mlqa,\n  title={MLQA: Evaluating Cross-lingual Extractive Question Answering},\n  author={Lewis, Patrick and Ouguz, Barlas and Rinott, Ruty and Riedel,   Sebastian and Schwenk, Holger},\n  journal={arXiv preprint arXiv:1910.07475},\n  year={2019}\n}",
  "configDescription": "MLQA 'ar' dev and test splits.",
  "configName": "ar",
  "description": "MLQA (Multilingual Question Answering Dataset) is a benchmark dataset for evaluating multilingual question answering performance. The dataset consists of 7 languages: Arabic, German, Spanish, English, Hindi, Vietnamese, Chinese.",
  "downloadSize": "75719050",
  "location": {
    "urls": [
      "https://github.com/facebookresearch/MLQA"
    ]
  },
  "name": "mlqa",
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      "name": "test",
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      "name": "validation",
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      ]
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  "version": "1.0.0"
}