---
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}
}