Dataset Card for "xquad"

Dataset Summary

XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering performance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set of SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German, Greek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, and Hindi. Consequently, the dataset is entirely parallel across 11 languages.

Supported Tasks and Leaderboards

More Information Needed

Languages

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Dataset Structure

Data Instances

xquad.ar

• Size of downloaded dataset files: 13.30 MB
• Size of the generated dataset: 1.72 MB
• Total amount of disk used: 15.03 MB

An example of 'validation' looks as follows.

This example was too long and was cropped:

{
    "answers": {
        "answer_start": [527],
        "text": ["136"]
    },
    "context": "\"Die Verteidigung der Panthers gab nur 308 Punkte ab und belegte den sechsten Platz in der Liga, während sie die NFL mit 24 Inte...",
    "id": "56beb4343aeaaa14008c925c",
    "question": "Wie viele Sacks erzielte Jared Allen in seiner Karriere?"
}

xquad.de

• Size of downloaded dataset files: 13.30 MB
• Size of the generated dataset: 1.29 MB
• Total amount of disk used: 14.59 MB

An example of 'validation' looks as follows.

This example was too long and was cropped:

{
    "answers": {
        "answer_start": [527],
        "text": ["136"]
    },
    "context": "\"Die Verteidigung der Panthers gab nur 308 Punkte ab und belegte den sechsten Platz in der Liga, während sie die NFL mit 24 Inte...",
    "id": "56beb4343aeaaa14008c925c",
    "question": "Wie viele Sacks erzielte Jared Allen in seiner Karriere?"
}

xquad.el

• Size of downloaded dataset files: 13.30 MB
• Size of the generated dataset: 2.21 MB
• Total amount of disk used: 15.51 MB

An example of 'validation' looks as follows.

This example was too long and was cropped:

{
    "answers": {
        "answer_start": [527],
        "text": ["136"]
    },
    "context": "\"Die Verteidigung der Panthers gab nur 308 Punkte ab und belegte den sechsten Platz in der Liga, während sie die NFL mit 24 Inte...",
    "id": "56beb4343aeaaa14008c925c",
    "question": "Wie viele Sacks erzielte Jared Allen in seiner Karriere?"
}

xquad.en

• Size of downloaded dataset files: 13.30 MB
• Size of the generated dataset: 1.12 MB
• Total amount of disk used: 14.42 MB

An example of 'validation' looks as follows.

This example was too long and was cropped:

{
    "answers": {
        "answer_start": [527],
        "text": ["136"]
    },
    "context": "\"Die Verteidigung der Panthers gab nur 308 Punkte ab und belegte den sechsten Platz in der Liga, während sie die NFL mit 24 Inte...",
    "id": "56beb4343aeaaa14008c925c",
    "question": "Wie viele Sacks erzielte Jared Allen in seiner Karriere?"
}

xquad.es

• Size of downloaded dataset files: 13.30 MB
• Size of the generated dataset: 1.28 MB
• Total amount of disk used: 14.58 MB

An example of 'validation' looks as follows.

This example was too long and was cropped:

{
    "answers": {
        "answer_start": [527],
        "text": ["136"]
    },
    "context": "\"Die Verteidigung der Panthers gab nur 308 Punkte ab und belegte den sechsten Platz in der Liga, während sie die NFL mit 24 Inte...",
    "id": "56beb4343aeaaa14008c925c",
    "question": "Wie viele Sacks erzielte Jared Allen in seiner Karriere?"
}

Data Fields

The data fields are the same among all splits.

xquad.ar

• id : 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.

xquad.de

• id : 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.

xquad.el

• id : 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.

xquad.en

• id : 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.

xquad.es

• id : 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

name	validation
xquad.ar	1190
xquad.de	1190
xquad.el	1190
xquad.en	1190
xquad.es	1190

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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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{Artetxe:etal:2019,
      author    = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},
      title     = {On the cross-lingual transferability of monolingual representations},
      journal   = {CoRR},
      volume    = {abs/1910.11856},
      year      = {2019},
      archivePrefix = {arXiv},
      eprint    = {1910.11856}
}

Contributions

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