Datasets:
Tasks:
Text2Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
1K - 10K
Tags:
text-to-sql
License:
Commit
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509d23b
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Parent(s):
204fa99
Update README.md
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README.md
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pretty_name: new spider data updated
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---
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pretty_name: new spider data updated
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size_categories:
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---
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# Dataset Card for Spider
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Table of Contents
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Dataset Description
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Dataset Summary
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Supported Tasks and Leaderboards
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Languages
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Dataset Structure
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Data Instances
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Data Fields
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Data Splits
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Dataset Creation
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Curation Rationale
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Source Data
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Annotations
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Personal and Sensitive Information
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Considerations for Using the Data
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Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
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Dataset Curators
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Licensing Information
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Citation Information
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Contributions
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Dataset Description
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Homepage: https://yale-lily.github.io/spider
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Repository: https://github.com/taoyds/spider
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Paper: https://www.aclweb.org/anthology/D18-1425/
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Point of Contact: Yale LILY
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Dataset Summary
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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
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Supported Tasks and Leaderboards
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The leaderboard can be seen at https://yale-lily.github.io/spider
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Languages
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The text in the dataset is in English.
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Dataset Structure
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Data Instances
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What do the instances that comprise the dataset represent?
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Each instance is natural language question and the equivalent SQL query
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How many instances are there in total?
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What data does each instance consist of?
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[More Information Needed]
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Data Fields
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db_id: Database name
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question: Natural language to interpret into SQL
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query: Target SQL query
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query_toks: List of tokens for the query
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query_toks_no_value: List of tokens for the query
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question_toks: List of tokens for the question
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Data Splits
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train: 7000 questions and SQL query pairs dev: 1034 question and SQL query pairs
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[More Information Needed]
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Dataset Creation
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Curation Rationale
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[More Information Needed]
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Source Data
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Initial Data Collection and Normalization
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Who are the source language producers?
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[More Information Needed]
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Annotations
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The dataset was annotated by 11 college students at Yale University
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Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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[More Information Needed]
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Considerations for Using the Data
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Social Impact of Dataset
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Discussion of Biases
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[More Information Needed]
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Other Known Limitations
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Additional Information
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The listed authors in the homepage are maintaining/supporting the dataset.
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Dataset Curators
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[More Information Needed]
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Licensing Information
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The spider dataset is licensed under the CC BY-SA 4.0
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[More Information Needed]
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Citation Information
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@article{yu2018spider,
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title={Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task},
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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},
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journal={arXiv preprint arXiv:1809.08887},
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year={2018}
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}
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