Datasets:
xquad

Task Categories: question-answering
Multilinguality: multilingual
Size Categories: unknown
Language Creators: expert-generated
Annotations Creators: expert-generated
Source Datasets: extended|squad

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

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

Data Instances

xquad.ar

  • Size of downloaded dataset files: 12.68 MB
  • Size of the generated dataset: 1.64 MB
  • Total amount of disk used: 14.33 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: 12.68 MB
  • Size of the generated dataset: 1.23 MB
  • Total amount of disk used: 13.91 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: 12.68 MB
  • Size of the generated dataset: 2.11 MB
  • Total amount of disk used: 14.79 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: 12.68 MB
  • Size of the generated dataset: 1.07 MB
  • Total amount of disk used: 13.75 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: 12.68 MB
  • Size of the generated dataset: 1.22 MB
  • Total amount of disk used: 13.90 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?

More Information Needed

Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

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.

Models trained or fine-tuned on xquad