Datasets:
wikitablequestions

	---
	annotations_creators:
	- crowdsourced
	language_creators:
	- found
	language:
	- en
	license:
	- cc-by-4.0
	multilinguality:
	- monolingual
	paperswithcode_id: null
	pretty_name: WikiTableQuestions
	size_categories:
	- 10K<n<100K
	source_datasets:
	- original
	task_categories:
	- question-answering
	task_ids: []
	tags:
	- table-question-answering
	dataset_info:
	- config_name: random-split-1
	features:
	- name: id
	dtype: string
	- name: question
	dtype: string
	- name: answers
	sequence: string
	- name: table
	struct:
	- name: header
	sequence: string
	- name: rows
	sequence:
	sequence: string
	- name: name
	dtype: string
	splits:
	- name: train
	num_bytes: 30364389
	num_examples: 11321
	- name: test
	num_bytes: 11423506
	num_examples: 4344
	- name: validation
	num_bytes: 7145768
	num_examples: 2831
	download_size: 29267445
	dataset_size: 48933663
	- config_name: random-split-2
	features:
	- name: id
	dtype: string
	- name: question
	dtype: string
	- name: answers
	sequence: string
	- name: table
	struct:
	- name: header
	sequence: string
	- name: rows
	sequence:
	sequence: string
	- name: name
	dtype: string
	splits:
	- name: train
	num_bytes: 30098954
	num_examples: 11314
	- name: test
	num_bytes: 11423506
	num_examples: 4344
	- name: validation
	num_bytes: 7411203
	num_examples: 2838
	download_size: 29267445
	dataset_size: 48933663
	- config_name: random-split-3
	features:
	- name: id
	dtype: string
	- name: question
	dtype: string
	- name: answers
	sequence: string
	- name: table
	struct:
	- name: header
	sequence: string
	- name: rows
	sequence:
	sequence: string
	- name: name
	dtype: string
	splits:
	- name: train
	num_bytes: 28778697
	num_examples: 11314
	- name: test
	num_bytes: 11423506
	num_examples: 4344
	- name: validation
	num_bytes: 8731460
	num_examples: 2838
	download_size: 29267445
	dataset_size: 48933663
	- config_name: random-split-4
	features:
	- name: id
	dtype: string
	- name: question
	dtype: string
	- name: answers
	sequence: string
	- name: table
	struct:
	- name: header
	sequence: string
	- name: rows
	sequence:
	sequence: string
	- name: name
	dtype: string
	splits:
	- name: train
	num_bytes: 30166421
	num_examples: 11321
	- name: test
	num_bytes: 11423506
	num_examples: 4344
	- name: validation
	num_bytes: 7343736
	num_examples: 2831
	download_size: 29267445
	dataset_size: 48933663
	- config_name: random-split-5
	features:
	- name: id
	dtype: string
	- name: question
	dtype: string
	- name: answers
	sequence: string
	- name: table
	struct:
	- name: header
	sequence: string
	- name: rows
	sequence:
	sequence: string
	- name: name
	dtype: string
	splits:
	- name: train
	num_bytes: 30333964
	num_examples: 11316
	- name: test
	num_bytes: 11423506
	num_examples: 4344
	- name: validation
	num_bytes: 7176193
	num_examples: 2836
	download_size: 29267445
	dataset_size: 48933663
	---

	# Dataset Card for WikiTableQuestions

	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-instances)
	- [Data Splits](#data-instances)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)

	## Dataset Description

	- Homepage: [WikiTableQuestions homepage](https://nlp.stanford.edu/software/sempre/wikitable)
	- Repository: [WikiTableQuestions repository](https://github.com/ppasupat/WikiTableQuestions)
	- Paper: [Compositional Semantic Parsing on Semi-Structured Tables](https://arxiv.org/abs/1508.00305)
	- Leaderboard: [WikiTableQuestions leaderboard on PaperWithCode](https://paperswithcode.com/dataset/wikitablequestions)
	- Point of Contact: [Needs More Information]

	### 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](https://github.com/SivilTaram) for adding this dataset.