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Dataset Card for WikiTableQuestions
Dataset Summary
The WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables.
Supported Tasks and Leaderboards
question-answering, table-question-answering
Languages
en
Dataset Structure
Data Instances
default
- Size of downloaded dataset files: 29.27 MB
- Size of the generated dataset: 47.90 MB
- Total amount of disk used: 77.18 MB
An example of 'validation' looks as follows:
{
"id": "nt-0",
"question": "what was the last year where this team was a part of the usl a-league?",
"answers": ["2004"],
"table": {
"header": ["Year", "Division", "League", ...],
"name": "csv/204-csv/590.csv",
"rows": [
["2001", "2", "USL A-League", ...],
["2002", "2", "USL A-League", ...],
...
]
}
}
Data Fields
The data fields are the same among all splits.
default
id
: astring
feature.question
: astring
feature.answers
: alist
ofstring
feature.table
: a dictionary feature containing:header
: alist
ofstring
features.rows
: alist
oflist
ofstring
features:name
: astring
feature.
Data Splits
name | train | validation | test |
---|---|---|---|
default | 11321 | 2831 | 4344 |
Dataset Creation
Curation Rationale
[Needs More Information]
Source Data
Initial Data Collection and Normalization
[Needs More Information]
Who are the source language producers?
[Needs More Information]
Annotations
Annotation process
[Needs More Information]
Who are the annotators?
[Needs More Information]
Personal and Sensitive Information
[Needs More Information]
Considerations for Using the Data
Social Impact of Dataset
[Needs More Information]
Discussion of Biases
[Needs More Information]
Other Known Limitations
[Needs More Information]
Additional Information
Dataset Curators
Panupong Pasupat and Percy Liang
Licensing Information
Creative Commons Attribution Share Alike 4.0 International
Citation Information
@inproceedings{pasupat-liang-2015-compositional,
title = "Compositional Semantic Parsing on Semi-Structured Tables",
author = "Pasupat, Panupong and Liang, Percy",
booktitle = "Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
month = jul,
year = "2015",
address = "Beijing, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P15-1142",
doi = "10.3115/v1/P15-1142",
pages = "1470--1480",
}
Contributions
Thanks to @SivilTaram for adding this dataset.
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