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--- |
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annotations_creators: |
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- expert-generated |
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language_creators: |
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- expert-generated |
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- machine-generated |
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language: |
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- en |
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license: |
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- cc-by-4.0 |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 1K<n<10K |
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source_datasets: |
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- original |
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task_categories: |
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- text2text-generation |
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task_ids: [] |
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paperswithcode_id: spider-1 |
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pretty_name: Spider |
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tags: |
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- text-to-sql |
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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](#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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## 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](https://yale-lily.github.io/) |
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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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### 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 |
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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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## 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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### Contributions |
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Thanks to [@olinguyen](https://github.com/olinguyen) for adding this dataset. |
