README.md

metadata

annotations_creators:
  - crowdsourced
language_creators:
  - crowdsourced
language:
  - ar
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 100K<n<1M
source_datasets:
  - original
task_categories:
  - question-answering
task_ids:
  - open-domain-qa
paperswithcode_id: wikiqaar
pretty_name: English-Arabic Wikipedia Question-Answering
dataset_info:
  features:
    - name: question_id
      dtype: string
    - name: question
      dtype: string
    - name: document_id
      dtype: string
    - name: answer_id
      dtype: string
    - name: answer
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': '0'
            '1': '1'
  config_name: plain_text
  splits:
    - name: test
      num_bytes: 7563127
      num_examples: 20632
    - name: validation
      num_bytes: 3740721
      num_examples: 10387
    - name: train
      num_bytes: 26009979
      num_examples: 70264
  download_size: 35226436
  dataset_size: 37313827

Dataset Card for WikiQAar

Table of Contents

• 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
  • Annotations
  • 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

Dataset Description

• Homepage: WikiQaAr
• Repository: WikiQaAr
• Paper:
• Point of Contact: Ines Abbes

Dataset Summary

Arabic Version of WikiQA by automatic automatic machine translators and crowdsourced the selection of the best one to be incorporated into the corpus

Supported Tasks and Leaderboards

[More Information Needed]

Languages

The dataset is based on Arabic.

Dataset Structure

Data Instances

Each data point contains the question and whether the answer is a valid or not.

Data Fields

• question_id: the question id.
• question: the question text.
• document_id: the wikipedia document id.
• answer_id : the answer id.
• answer : a candidate answer to the question.
• label : 1 if the answer is correct or 0 otherwise.

Data Splits

The dataset is not split.

	train	validation	test
Data split	70,264	20,632	10,387

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

Translation of WikiQA.

Who are the source language producers?

Translation of WikiQA.

Annotations

The dataset does not contain any additional 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

@InProceedings{YangYihMeek:EMNLP2015:WikiQA,
       author = {{Yi}, Yang and {Wen-tau},  Yih and {Christopher} Meek},
        title = "{WikiQA: A Challenge Dataset for Open-Domain Question Answering}",
      journal = {Association for Computational Linguistics},
         year = 2015,
          doi = {10.18653/v1/D15-1237},
        pages = {2013–2018},
}

Contributions

Thanks to @zaidalyafeai for adding this dataset.