Datasets:
Tasks:
Text2Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
text-to-sql
License:
Commit
•
0c35091
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Parent(s):
fbb01a4
Update metadata (#5)
Browse files- Update metadata (e7d2f611d72bda7f9ea2685d9d66013793044ded)
README.md
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@@ -7,7 +7,7 @@ language_creators:
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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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- **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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@@ -186,11 +187,35 @@ the [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/legalcode)
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### Citation Information
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```
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@
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}
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```
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language:
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- en
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license:
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- cc-by-sa-4.0
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multilinguality:
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- monolingual
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size_categories:
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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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- **Paper:** https://arxiv.org/abs/1809.08887
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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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### Citation Information
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```
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@inproceedings{yu-etal-2018-spider,
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title = "{S}pider: 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
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Zhang, Rui and
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Yang, Kai and
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Yasunaga, Michihiro and
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Wang, Dongxu and
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Li, Zifan and
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Ma, James and
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Li, Irene and
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Yao, Qingning and
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Roman, Shanelle and
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Zhang, Zilin and
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Radev, Dragomir",
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editor = "Riloff, Ellen and
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Chiang, David and
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Hockenmaier, Julia and
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Tsujii, Jun{'}ichi",
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booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
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month = oct # "-" # nov,
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year = "2018",
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address = "Brussels, Belgium",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/D18-1425",
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doi = "10.18653/v1/D18-1425",
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pages = "3911--3921",
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archivePrefix={arXiv},
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eprint={1809.08887},
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primaryClass={cs.CL},
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}
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```
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