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  - split: train
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  path: data/train-*
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  - split: train
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  path: data/train-*
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  ---
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+
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+ # Dataset Card for Spider
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+ - [Contributions](#contributions)
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+
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+ ## Dataset Description
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+
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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](https://yale-lily.github.io/)
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+
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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
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+ 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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+
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+ ### Languages
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+ The text in the dataset is in English.
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+
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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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+
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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
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+ **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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+
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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
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+ the [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/legalcode)
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+ [More Information Needed]
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+ ### Citation Information
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+ ```
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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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+ ```
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+
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+ ### Contributions
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+ Thanks to [@olinguyen](https://github.com/olinguyen) for adding this dataset.