Datasets:

xlangai
/

spider

	---
	annotations_creators:
	- expert-generated
	language_creators:
	- expert-generated
	- machine-generated
	languages:
	- en
	licenses:
	- cc-by-4-0
	multilinguality:
	- monolingual
	size_categories:
	- 1K<n<10K
	source_datasets:
	- original
	task_categories:
	- conditional-text-generation
	task_ids:
	- conditional-text-generation-other-stuctured-to-text
	---


	# Dataset Card for [spider]

	## 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: https://yale-lily.github.io/spider
	- Repository: https://github.com/taoyds/spider
	- Paper: https://www.aclweb.org/anthology/D18-1425/
	- 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]

	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

	```
	@article{yu2018spider,
	title={Spider: 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 others},
	journal={arXiv preprint arXiv:1809.08887},
	year={2018}
	}
	```