mlqa

• 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.

• Additional Documentation: Explore on Papers With Code north_east

• Homepage: https://github.com/facebookresearch/MLQA

• Source code: tfds.datasets.mlqa.Builder

• Versions:

  • 1.0.0 (default): No release notes.

• Download size: 72.21 MiB

• Auto-cached (documentation): Yes

• Feature structure:

FeaturesDict({
    'answers': Sequence({
        'answer_start': int32,
        'text': Text(shape=(), dtype=string),
    }),
    'context': Text(shape=(), dtype=string),
    'id': string,
    'question': Text(shape=(), dtype=string),
    'title': Text(shape=(), dtype=string),
})

• Feature documentation:

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples): Not supported.

• Citation:

@article{lewis2019mlqa,
  title={MLQA: Evaluating Cross-lingual Extractive Question Answering},
  author={Lewis, Patrick and Ouguz, Barlas and Rinott, Ruty and Riedel,   Sebastian and Schwenk, Holger},
  journal={arXiv preprint arXiv:1910.07475},
  year={2019}
}

mlqa/ar (default config)

• Config description: MLQA 'ar' dev and test splits.

• Dataset size: 9.28 MiB

• Splits:

• Examples (tfds.as_dataframe):

mlqa/de

• Config description: MLQA 'de' dev and test splits.

• Dataset size: 5.06 MiB

• Splits:

• Examples (tfds.as_dataframe):

mlqa/en

• Config description: MLQA 'en' dev and test splits.

• Dataset size: 15.72 MiB

• Splits:

• Examples (tfds.as_dataframe):

mlqa/es

• Config description: MLQA 'es' dev and test splits.

• Dataset size: 5.09 MiB

• Splits:

• Examples (tfds.as_dataframe):

mlqa/hi

• Config description: MLQA 'hi' dev and test splits.

• Dataset size: 12.83 MiB

• Splits:

• Examples (tfds.as_dataframe):

mlqa/vi

• Config description: MLQA 'vi' dev and test splits.

• Dataset size: 8.77 MiB

• Splits:

• Examples (tfds.as_dataframe):

mlqa/zh

• Config description: MLQA 'zh' dev and test splits.

• Dataset size: 5.13 MiB

• Splits:

• Examples (tfds.as_dataframe):