Dataset:



Dataset Card for "squad_es"

Dataset Summary

automatic translation of the Stanford Question Answering Dataset (SQuAD) v2 into Spanish

Supported Tasks

More Information Needed

Languages

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Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

v1.1.0

  • Size of downloaded dataset files: 37.47 MB
  • Size of the generated dataset: 90.25 MB
  • Total amount of disk used: 127.72 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "answers": {
        "answer_start": [404, 356, 356],
        "text": ["Santa Clara, California", "Levi 's Stadium", "Levi 's Stadium en la Bahía de San Francisco en Santa Clara, California."]
    },
    "context": "\"El Super Bowl 50 fue un partido de fútbol americano para determinar al campeón de la NFL para la temporada 2015. El campeón de ...",
    "id": "56be4db0acb8001400a502ee",
    "question": "¿Dónde tuvo lugar el Super Bowl 50?",
    "title": "Super Bowl _ 50"
}

Data Fields

The data fields are the same among all splits.

v1.1.0

  • id: a string feature.
  • title: a string feature.
  • context: a string feature.
  • question: a string feature.
  • answers: a dictionary feature containing:
    • text: a string feature.
    • answer_start: a int32 feature.

Data Splits Sample Size

name train validation
v1.1.0 87595 10570

Dataset Creation

Curation Rationale

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Source Data

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Annotations

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

@article{2016arXiv160605250R,
       author = {Casimiro Pio , Carrino and  Marta R. , Costa-jussa and  Jose A. R. , Fonollosa},
        title = "{Automatic Spanish Translation of the SQuAD Dataset for Multilingual
Question Answering}",
      journal = {arXiv e-prints},
         year = 2019,
          eid = {arXiv:1912.05200v1},
        pages = {arXiv:1912.05200v1},
archivePrefix = {arXiv},
       eprint = {1912.05200v2},
}

Contributions

Thanks to @patrickvonplaten, @thomwolf, @albertvillanova, @lewtun for adding this dataset.

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