README.md

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Dataset Card for "qanta"

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits Sample Size
• 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: http://www.qanta.org/
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 162.84 MB
• Size of the generated dataset: 140.36 MB
• Total amount of disk used: 303.20 MB

Dataset Summary

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

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

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

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

@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.