Dataset Card for WikiQAar

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.