Datasets:

xlangai
/

spider

	---
	annotations_creators:
	- expert-generated
	language_creators:
	- expert-generated
	- machine-generated
	language:
	- en
	license:
	- cc-by-sa-4.0
	multilinguality:
	- monolingual
	size_categories:
	- 1K<n<10K
	source_datasets:
	- original
	task_categories:
	- text2text-generation
	task_ids: []
	paperswithcode_id: spider-1
	pretty_name: Spider
	tags:
	- text-to-sql
	dataset_info:
	config_name: spider
	features:
	- name: db_id
	dtype: string
	- name: query
	dtype: string
	- name: question
	dtype: string
	- name: query_toks
	sequence: string
	- name: query_toks_no_value
	sequence: string
	- name: question_toks
	sequence: string
	splits:
	- name: train
	num_bytes: 4743786
	num_examples: 7000
	- name: validation
	num_bytes: 682090
	num_examples: 1034
	download_size: 957246
	dataset_size: 5425876
	configs:
	- config_name: spider
	data_files:
	- split: train
	path: spider/train-*
	- split: validation
	path: spider/validation-*
	default: true
	---


	# Dataset Card for Spider

	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [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)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage: https://yale-lily.github.io/spider
	- Repository: https://github.com/taoyds/spider
	- Paper: https://www.aclweb.org/anthology/D18-1425/
	- Paper: https://arxiv.org/abs/1809.08887
	- Point of Contact: [Yale LILY](https://yale-lily.github.io/)

	### Dataset Summary

	Spider is a large-scale complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 Yale students.
	The goal of the Spider challenge is to develop natural language interfaces to cross-domain databases.

	### Supported Tasks and Leaderboards

	The leaderboard can be seen at https://yale-lily.github.io/spider

	### Languages

	The text in the dataset is in English.

	## Dataset Structure

	### Data Instances

	What do the instances that comprise the dataset represent?

	Each instance is natural language question and the equivalent SQL query

	How many instances are there in total?

	What data does each instance consist of?

	[More Information Needed]

	### Data Fields

	* db_id: Database name
	* question: Natural language to interpret into SQL
	* query: Target SQL query
	* query_toks: List of tokens for the query
	* query_toks_no_value: List of tokens for the query
	* question_toks: List of tokens for the question

	### Data Splits

	train: 7000 questions and SQL query pairs
	dev: 1034 question and SQL query pairs

	[More Information Needed]

	## Dataset Creation

	### Curation Rationale

	[More Information Needed]

	### Source Data

	#### Initial Data Collection and Normalization

	#### Who are the source language producers?

	[More Information Needed]

	### Annotations

	The dataset was annotated by 11 college students at Yale University

	#### Annotation process

	#### Who are the annotators?

	### Personal and Sensitive Information

	[More Information Needed]

	## Considerations for Using the Data

	### Social Impact of Dataset

	### Discussion of Biases

	[More Information Needed]

	### Other Known Limitations

	## Additional Information

	The listed authors in the homepage are maintaining/supporting the dataset.

	### Dataset Curators

	[More Information Needed]

	### Licensing Information

	The spider dataset is licensed under
	the [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/legalcode)

	[More Information Needed]

	### Citation Information

	```
	@inproceedings{yu-etal-2018-spider,
	title = "{S}pider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-{SQL} Task",
	author = "Yu, Tao and
	Zhang, Rui and
	Yang, Kai and
	Yasunaga, Michihiro and
	Wang, Dongxu and
	Li, Zifan and
	Ma, James and
	Li, Irene and
	Yao, Qingning and
	Roman, Shanelle and
	Zhang, Zilin and
	Radev, Dragomir",
	editor = "Riloff, Ellen and
	Chiang, David and
	Hockenmaier, Julia and
	Tsujii, Jun{'}ichi",
	booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
	month = oct # "-" # nov,
	year = "2018",
	address = "Brussels, Belgium",
	publisher = "Association for Computational Linguistics",
	url = "https://aclanthology.org/D18-1425",
	doi = "10.18653/v1/D18-1425",
	pages = "3911--3921",
	archivePrefix={arXiv},
	eprint={1809.08887},
	primaryClass={cs.CL},
	}
	```

	### Contributions

	Thanks to [@olinguyen](https://github.com/olinguyen) for adding this dataset.