license: cc-by-4.0
task_categories:
- text2text-generation
language:
- en
tags:
- text-to-sql
pretty_name: new spider data updated
size_categories:
- 1K<n<10K
Dataset Card for Spider
Table of Contents Dataset Description Dataset Summary Supported Tasks and Leaderboards Languages Dataset Structure Data Instances Data Fields Data Splits Dataset Creation Curation Rationale Source Data Annotations Personal and Sensitive Information Considerations for Using the Data Social Impact of Dataset Discussion of Biases Other Known Limitations Additional Information Dataset Curators Licensing Information Citation Information Contributions 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 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
[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} }