Dataset:



Dataset Card for "qanta"

Dataset Summary

The Qanta dataset is a question answering dataset based on the academic trivia game Quizbowl.

Supported Tasks

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Languages

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Dataset Structure

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

Data Instances

mode=first,char_skip=25

  • Size of downloaded dataset files: 162.84 MB
  • Size of the generated dataset: 140.36 MB
  • Total amount of disk used: 303.20 MB

An example of 'guessdev' looks as follows.

This example was too long and was cropped:

{
    "answer": "Apollo_program",
    "category": "History",
    "char_idx": -1,
    "dataset": "quizdb.org",
    "difficulty": "easy_college",
    "first_sentence": "As part of this program, William Anders took a photo that Galen Rowell called \"the most influential environmental photograph ever taken.\"",
    "fold": "guessdev",
    "full_question": "\"As part of this program, William Anders took a photo that Galen Rowell called \\\"the most influential environmental photograph e...",
    "gameplay": false,
    "id": "127028-first",
    "page": "Apollo_program",
    "proto_id": "",
    "qanta_id": 127028,
    "qdb_id": 126689,
    "raw_answer": "Apollo program [or Project Apollo; accept Apollo 8; accept Apollo 1; accept Apollo 11; prompt on landing on the moon]",
    "sentence_idx": -1,
    "subcategory": "American",
    "text": "As part of this program, William Anders took a photo that Galen Rowell called \"the most influential environmental photograph ever taken.\"",
    "tokenizations": [[0, 137], [138, 281], [282, 412], [413, 592], [593, 675]],
    "tournament": "ACF Fall",
    "year": 2016
}

Data Fields

The data fields are the same among all splits.

mode=first,char_skip=25

  • id: a string feature.
  • qanta_id: a int32 feature.
  • proto_id: a string feature.
  • qdb_id: a int32 feature.
  • dataset: a string feature.
  • text: a string feature.
  • full_question: a string feature.
  • first_sentence: a string feature.
  • char_idx: a int32 feature.
  • sentence_idx: a int32 feature.
  • tokenizations: a dictionary feature containing:
    • feature: a int32 feature.
  • answer: a string feature.
  • page: a string feature.
  • raw_answer: a string feature.
  • fold: a string feature.
  • gameplay: a bool feature.
  • category: a string feature.
  • subcategory: a string feature.
  • tournament: a string feature.
  • difficulty: a string feature.
  • year: a int32 feature.

Data Splits Sample Size

name adversarial buzzdev buzztrain guessdev guesstrain buzztest guesstest
mode=first,char_skip=25 1145 1161 16706 1055 96221 1953 2151

Dataset Creation

Curation Rationale

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Source Data

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Annotations

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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

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Citation Information


@article{Rodriguez2019QuizbowlTC,
  title={Quizbowl: The Case for Incremental Question Answering},
  author={Pedro Rodriguez and Shi Feng and Mohit Iyyer and He He and Jordan L. Boyd-Graber},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.04792}
}

Contributions

Thanks to @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.

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