Datasets:
qanta

Languages: English
Multilinguality: monolingual
Size Categories: 100K<n<1M
Language Creators: found
Annotations Creators: machine-generated
Source Datasets: original
License: unknown
qanta / README.md
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metadata
annotations_creators:
  - machine-generated
language:
  - en
language_creators:
  - found
license:
  - unknown
multilinguality:
  - monolingual
pretty_name: Quizbowl
size_categories:
  - 100K<n<1M
source_datasets:
  - original
task_categories:
  - question-answering
task_ids: []
paperswithcode_id: quizbowl
tags:
  - quizbowl
dataset_info:
  features:
    - name: id
      dtype: string
    - name: qanta_id
      dtype: int32
    - name: proto_id
      dtype: string
    - name: qdb_id
      dtype: int32
    - name: dataset
      dtype: string
    - name: text
      dtype: string
    - name: full_question
      dtype: string
    - name: first_sentence
      dtype: string
    - name: char_idx
      dtype: int32
    - name: sentence_idx
      dtype: int32
    - name: tokenizations
      sequence:
        sequence: int32
        length: 2
    - name: answer
      dtype: string
    - name: page
      dtype: string
    - name: raw_answer
      dtype: string
    - name: fold
      dtype: string
    - name: gameplay
      dtype: bool
    - name: category
      dtype: string
    - name: subcategory
      dtype: string
    - name: tournament
      dtype: string
    - name: difficulty
      dtype: string
    - name: year
      dtype: int32
  config_name: mode=first,char_skip=25
  splits:
    - name: adversarial
      num_bytes: 1258844
      num_examples: 1145
    - name: buzzdev
      num_bytes: 1553636
      num_examples: 1161
    - name: buzztest
      num_bytes: 2653425
      num_examples: 1953
    - name: buzztrain
      num_bytes: 19699736
      num_examples: 16706
    - name: guessdev
      num_bytes: 1414882
      num_examples: 1055
    - name: guesstest
      num_bytes: 2997123
      num_examples: 2151
    - name: guesstrain
      num_bytes: 117599750
      num_examples: 96221
  download_size: 170754918
  dataset_size: 147177396

Dataset Card for "qanta"

Table of Contents

Dataset Description

Dataset Summary

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

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

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

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

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

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

@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.