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 : a string feature.
• question : a string feature.
• answers : a list of string feature.
• table : a dictionary feature containing:
  • header : a list of string features.
  • rows : a list of list of string features:
  • name : a string 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.