Dataset Card for "hotpot_qa"

Dataset Summary

HotpotQA is a new dataset with 113k Wikipedia-based question-answer pairs with four key features: (1) the questions require finding and reasoning over multiple supporting documents to answer; (2) the questions are diverse and not constrained to any pre-existing knowledge bases or knowledge schemas; (3) we provide sentence-level supporting facts required for reasoning, allowingQA systems to reason with strong supervision and explain the predictions; (4) we offer a new type of factoid comparison questions to test QA systems’ ability to extract relevant facts and perform necessary comparison.

Supported Tasks and Leaderboards

More Information Needed

Languages

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Dataset Structure

Data Instances

distractor

• Size of downloaded dataset files: 612.75 MB
• Size of the generated dataset: 598.66 MB
• Total amount of disk used: 1.21 GB

An example of 'validation' looks as follows.

{
    "answer": "This is the answer",
    "context": {
        "sentences": [["Sent 1"], ["Sent 21", "Sent 22"]],
        "title": ["Title1", "Title 2"]
    },
    "id": "000001",
    "level": "medium",
    "question": "What is the answer?",
    "supporting_facts": {
        "sent_id": [0, 1, 3],
        "title": ["Title of para 1", "Title of para 2", "Title of para 3"]
    },
    "type": "comparison"
}

fullwiki

• Size of downloaded dataset files: 660.10 MB
• Size of the generated dataset: 645.80 MB
• Total amount of disk used: 1.31 GB

An example of 'train' looks as follows.

{
    "answer": "This is the answer",
    "context": {
        "sentences": [["Sent 1"], ["Sent 2"]],
        "title": ["Title1", "Title 2"]
    },
    "id": "000001",
    "level": "hard",
    "question": "What is the answer?",
    "supporting_facts": {
        "sent_id": [0, 1, 3],
        "title": ["Title of para 1", "Title of para 2", "Title of para 3"]
    },
    "type": "bridge"
}

Data Fields

The data fields are the same among all splits.

distractor

• id : a string feature.
• question : a string feature.
• answer : a string feature.
• type : a string feature.
• level : a string feature.
• supporting_facts : a dictionary feature containing:
  • title : a string feature.
  • sent_id : a int32 feature.
• context : a dictionary feature containing:
  • title : a string feature.
  • sentences : a list of string features.

fullwiki

• id : a string feature.
• question : a string feature.
• answer : a string feature.
• type : a string feature.
• level : a string feature.
• supporting_facts : a dictionary feature containing:
  • title : a string feature.
  • sent_id : a int32 feature.
• context : a dictionary feature containing:
  • title : a string feature.
  • sentences : a list of string features.

Data Splits

distractor

train	validation
distractor	90447	7405

fullwiki

train	validation	test
fullwiki	90447	7405	7405

Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

HotpotQA is distributed under a CC BY-SA 4.0 License .

Citation Information

@inproceedings{yang2018hotpotqa,
  title={{HotpotQA}: A Dataset for Diverse, Explainable Multi-hop Question Answering},
  author={Yang, Zhilin and Qi, Peng and Zhang, Saizheng and Bengio, Yoshua and Cohen, William W. and Salakhutdinov, Ruslan and Manning, Christopher D.},
  booktitle={Conference on Empirical Methods in Natural Language Processing ({EMNLP})},
  year={2018}
}

Contributions

Thanks to @albertvillanova , @ghomasHudson for adding this dataset.