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: 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
Languages
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
: 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 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
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
@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.