Dataset Card for "xquad"

Table of Contents

• Dataset Description

• Dataset Structure

• Dataset Creation

• Considerations for Using the Data

• Additional Information

Dataset Description

• Homepage: https://github.com/deepmind/xquad
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 146.31 MB
• Size of the generated dataset: 18.97 MB
• Total amount of disk used: 165.28 MB

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

More Information Needed

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

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

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

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

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

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:

#### xquad.de

• id: a string feature.
• context: a string feature.
• question: a string feature.
• answers: a dictionary feature containing:

#### xquad.el

• id: a string feature.
• context: a string feature.
• question: a string feature.
• answers: a dictionary feature containing:

#### xquad.en

• id: a string feature.
• context: a string feature.
• question: a string feature.
• answers: a dictionary feature containing:

#### xquad.es

• id: a string feature.
• context: a string feature.
• question: a string feature.
• answers: a dictionary feature containing:

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

More Information Needed

#### Who are the source language producers?

More Information Needed

Annotations

#### Annotation process

More Information Needed

#### Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

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.