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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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+
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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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+
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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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+
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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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+
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+ [More Information Needed]
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+
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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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+
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+ [More Information Needed]
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+
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+ Dataset Creation
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+ Curation Rationale
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+ [More Information Needed]
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+
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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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+
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+ Annotations
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+ The dataset was annotated by 11 college students at Yale University
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+
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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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+
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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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+
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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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+
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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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+ }