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 Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: http://www.qanta.org/
- Repository: More Information Needed
- Paper: Quizbowl: The Case for Incremental Question Answering
- Point of Contact: Jordan Boyd-Graber
- Size of downloaded dataset files: 170.75 MB
- Size of the generated dataset: 147.18 MB
- Total amount of disk used: 317.93 MB
Dataset Summary
The Qanta dataset is a question answering dataset based on the academic trivia game Quizbowl.
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
mode=first,char_skip=25
- Size of downloaded dataset files: 170.75 MB
- Size of the generated dataset: 147.18 MB
- Total amount of disk used: 317.93 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
: astring
feature.qanta_id
: aint32
feature.proto_id
: astring
feature.qdb_id
: aint32
feature.dataset
: astring
feature.text
: astring
feature.full_question
: astring
feature.first_sentence
: astring
feature.char_idx
: aint32
feature.sentence_idx
: aint32
feature.tokenizations
: a dictionary feature containing:feature
: aint32
feature.
answer
: astring
feature.page
: astring
feature.raw_answer
: astring
feature.fold
: astring
feature.gameplay
: abool
feature.category
: astring
feature.subcategory
: astring
feature.tournament
: astring
feature.difficulty
: astring
feature.year
: aint32
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
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
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
@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.