metadata

annotations_creators:
  - expert-generated
language_creators:
  - found
language:
  - ar
  - de
  - el
  - en
  - es
  - hi
  - ru
  - th
  - tr
  - vi
  - zh
license:
  - cc-by-sa-4.0
multilinguality:
  - multilingual
size_categories:
  - 1K<n<10K
source_datasets:
  - extended|squad
  - extended|xquad
task_categories:
  - question-answering
task_ids:
  - extractive-qa
paperswithcode_id: xquad-r
pretty_name: LAReQA
config_names:
  - ar
  - de
  - el
  - en
  - es
  - hi
  - ru
  - th
  - tr
  - vi
  - zh
dataset_info:
  - config_name: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: ar
    data_files:
      - split: validation
        path: ar/validation-*
  - config_name: de
    data_files:
      - split: validation
        path: de/validation-*
  - config_name: el
    data_files:
      - split: validation
        path: el/validation-*
  - config_name: en
    data_files:
      - split: validation
        path: en/validation-*
  - config_name: es
    data_files:
      - split: validation
        path: es/validation-*
  - config_name: hi
    data_files:
      - split: validation
        path: hi/validation-*
  - config_name: ru
    data_files:
      - split: validation
        path: ru/validation-*
  - config_name: th
    data_files:
      - split: validation
        path: th/validation-*
  - config_name: tr
    data_files:
      - split: validation
        path: tr/validation-*
  - config_name: vi
    data_files:
      - split: validation
        path: vi/validation-*
  - config_name: zh
    data_files:
      - split: validation
        path: zh/validation-*

Dataset Card for [Dataset Name]

Dataset Description
Dataset Structure
Dataset Creation
Considerations for Using the Data
Additional Information

Dataset Description

Homepage: LAReQA
Repository: XQuAD-R
Paper: LAReQA: Language-agnostic answer retrieval from a multilingual pool
Point of Contact: Noah Constant

Dataset Summary

XQuAD-R is a retrieval version of the XQuAD dataset (a cross-lingual extractive QA dataset). Like XQuAD, XQUAD-R is an 11-way parallel dataset, where each question appears in 11 different languages and has 11 parallel correct answers across the languages.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

The dataset can be found with the following languages:

Arabic: xquad-r/ar.json
German: xquad-r/de.json
Greek: xquad-r/el.json
English: xquad-r/en.json
Spanish: xquad-r/es.json
Hindi: xquad-r/hi.json
Russian: xquad-r/ru.json
Thai: xquad-r/th.json
Turkish: xquad-r/tr.json
Vietnamese: xquad-r/vi.json
Chinese: xquad-r/zh.json

Dataset Structure

[More Information Needed]

Data Instances

An example from en config:

{'id': '56beb4343aeaaa14008c925b',
 'context': "The Panthers defense gave up just 308 points, ranking sixth in the league, while also leading the NFL in interceptions with 24 and boasting four Pro Bowl selections. Pro Bowl defensive tackle Kawann Short led the team in sacks with 11, while also forcing three fumbles and recovering two. Fellow lineman Mario Addison added 6½ sacks. The Panthers line also featured veteran defensive end Jared Allen, a 5-time pro bowler who was the NFL's active career sack leader with 136, along with defensive end Kony Ealy, who had 5 sacks in just 9 starts. Behind them, two of the Panthers three starting linebackers were also selected to play in the Pro Bowl: Thomas Davis and Luke Kuechly. Davis compiled 5½ sacks, four forced fumbles, and four interceptions, while Kuechly led the team in tackles (118) forced two fumbles, and intercepted four passes of his own. Carolina's secondary featured Pro Bowl safety Kurt Coleman, who led the team with a career high seven interceptions, while also racking up 88 tackles and Pro Bowl cornerback Josh Norman, who developed into a shutdown corner during the season and had four interceptions, two of which were returned for touchdowns.",
 'question': 'How many points did the Panthers defense surrender?',
 'answers': {'text': ['308'], 'answer_start': [34]}}

Data Fields

id (str): Unique ID for the context-question pair.
context (str): Context for the question.
question (str): Question.
answers (dict): Answers with the following keys:
- text (list of str): Texts of the answers.
- answer_start (list of int): Start positions for every answer text.

Data Splits

The number of questions and candidate sentences for each language for XQuAD-R is shown in the table below:

	XQuAD-R
	questions	candidates
ar	1190	1222
de	1190	1276
el	1190	1234
en	1190	1180
es	1190	1215
hi	1190	1244
ru	1190	1219
th	1190	852
tr	1190	1167
vi	1190	1209
zh	1190	1196

Dataset Creation

[More Information Needed]

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

[More Information Needed]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

[More Information Needed]

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

[More Information Needed]

Dataset Curators

The dataset was initially created by Uma Roy, Noah Constant, Rami Al-Rfou, Aditya Barua, Aaron Phillips and Yinfei Yang, during work done at Google Research.

Licensing Information

XQuAD-R is distributed under the CC BY-SA 4.0 license.

Citation Information

@article{roy2020lareqa,
  title={LAReQA: Language-agnostic answer retrieval from a multilingual pool},
  author={Roy, Uma and Constant, Noah and Al-Rfou, Rami and Barua, Aditya and Phillips, Aaron and Yang, Yinfei},
  journal={arXiv preprint arXiv:2004.05484},
  year={2020}
}

Contributions

Thanks to @manandey for adding this dataset.

Datasets:
xquad_r

Dataset Card for [Dataset Name]

Table of Contents

Dataset Description

Dataset Summary

Supported Tasks and Leaderboards

Languages

Dataset Structure

Data Instances

Data Fields

Data Splits

Dataset Creation

Curation Rationale

Source Data

Initial Data Collection and Normalization

Who are the source language producers?

Annotations

Annotation process

Who are the annotators?

Personal and Sensitive Information

Considerations for Using the Data

Social Impact of Dataset

Discussion of Biases

Other Known Limitations

Additional Information

Dataset Curators

Licensing Information

Citation Information

Contributions