xquad / README.md
albertvillanova's picture
Convert dataset to Parquet (#3)
51adfef
metadata
annotations_creators:
  - expert-generated
language_creators:
  - expert-generated
language:
  - ar
  - de
  - el
  - en
  - es
  - hi
  - ro
  - ru
  - th
  - tr
  - vi
  - zh
license:
  - cc-by-sa-4.0
multilinguality:
  - multilingual
size_categories:
  - unknown
source_datasets:
  - extended|squad
task_categories:
  - question-answering
task_ids:
  - extractive-qa
paperswithcode_id: xquad
pretty_name: XQuAD
dataset_info:
  - config_name: xquad.ar
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: validation
        num_bytes: 1722775
        num_examples: 1190
    download_size: 263002
    dataset_size: 1722775
  - config_name: xquad.de
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: validation
        num_bytes: 1283277
        num_examples: 1190
    download_size: 241957
    dataset_size: 1283277
  - config_name: xquad.el
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: validation
        num_bytes: 2206666
        num_examples: 1190
    download_size: 324379
    dataset_size: 2206666
  - config_name: xquad.en
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: validation
        num_bytes: 1116099
        num_examples: 1190
    download_size: 212372
    dataset_size: 1116099
  - config_name: xquad.es
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: validation
        num_bytes: 1273475
        num_examples: 1190
    download_size: 236874
    dataset_size: 1273475
  - config_name: xquad.hi
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: validation
        num_bytes: 2682951
        num_examples: 1190
    download_size: 322083
    dataset_size: 2682951
  - config_name: xquad.ro
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: validation
        num_bytes: 1299426
        num_examples: 1190
    download_size: 244467
    dataset_size: 1299426
  - config_name: xquad.ru
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: validation
        num_bytes: 2136966
        num_examples: 1190
    download_size: 321728
    dataset_size: 2136966
  - config_name: xquad.th
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: validation
        num_bytes: 2854935
        num_examples: 1190
    download_size: 337307
    dataset_size: 2854935
  - config_name: xquad.tr
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: validation
        num_bytes: 1210739
        num_examples: 1190
    download_size: 228364
    dataset_size: 1210739
  - config_name: xquad.vi
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: validation
        num_bytes: 1477215
        num_examples: 1190
    download_size: 237644
    dataset_size: 1477215
  - config_name: xquad.zh
    features:
      - name: id
        dtype: string
      - name: context
        dtype: string
      - name: question
        dtype: string
      - name: answers
        sequence:
          - name: text
            dtype: string
          - name: answer_start
            dtype: int32
    splits:
      - name: validation
        num_bytes: 984217
        num_examples: 1190
    download_size: 205768
    dataset_size: 984217
configs:
  - config_name: xquad.ar
    data_files:
      - split: validation
        path: xquad.ar/validation-*
  - config_name: xquad.de
    data_files:
      - split: validation
        path: xquad.de/validation-*
  - config_name: xquad.el
    data_files:
      - split: validation
        path: xquad.el/validation-*
  - config_name: xquad.en
    data_files:
      - split: validation
        path: xquad.en/validation-*
  - config_name: xquad.es
    data_files:
      - split: validation
        path: xquad.es/validation-*
  - config_name: xquad.hi
    data_files:
      - split: validation
        path: xquad.hi/validation-*
  - config_name: xquad.ro
    data_files:
      - split: validation
        path: xquad.ro/validation-*
  - config_name: xquad.ru
    data_files:
      - split: validation
        path: xquad.ru/validation-*
  - config_name: xquad.th
    data_files:
      - split: validation
        path: xquad.th/validation-*
  - config_name: xquad.tr
    data_files:
      - split: validation
        path: xquad.tr/validation-*
  - config_name: xquad.vi
    data_files:
      - split: validation
        path: xquad.vi/validation-*
  - config_name: xquad.zh
    data_files:
      - split: validation
        path: xquad.zh/validation-*

Dataset Card for "xquad"

Table of Contents

Dataset Description

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

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

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.