metadata
language:
- en
license:
- cc-by-4.0
multilinguality:
- monolingual
source_datasets:
- spider
paperswithcode_id: spider-1
pretty_name: Spider Schema
tags:
- text-to-sql
Dataset Card for Spider
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional 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
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 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
[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}
}
Contributions
Thanks to @olinguyen for adding this dataset.