Datasets:

Languages: English
Multilinguality: monolingual
Size Categories: 10K<n<100K
Language Creators: found
Annotations Creators: crowdsourced
Source Datasets: original
License:
wiki_qa / README.md
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Update files from the datasets library (from 1.4.0)
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Dataset Card for "wiki_qa"

Table of Contents

Dataset Description

Dataset Summary

Wiki Question Answering corpus from Microsoft

Supported Tasks

More Information Needed

Languages

More Information Needed

Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

default

  • Size of downloaded dataset files: 6.77 MB
  • Size of the generated dataset: 6.10 MB
  • Total amount of disk used: 12.87 MB

An example of 'train' looks as follows.

{
    "answer": "Glacier caves are often called ice caves , but this term is properly used to describe bedrock caves that contain year-round ice.",
    "document_title": "Glacier cave",
    "label": 0,
    "question": "how are glacier caves formed?",
    "question_id": "Q1"
}

Data Fields

The data fields are the same among all splits.

default

  • question_id: a string feature.
  • question: a string feature.
  • document_title: a string feature.
  • answer: a string feature.
  • label: a classification label, with possible values including 0 (0), 1 (1).

Data Splits Sample Size

name train validation test
default 20360 2733 6165

Dataset Creation

Curation Rationale

More Information Needed

Source Data

More Information Needed

Annotations

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 @patrickvonplaten, @mariamabarham, @lewtun, @thomwolf for adding this dataset.