text2sql data
v. 4.0
该存储库包含用于构建和评估系统的数据和代码,这些系统将句子映射到SQL,这是:
对于一系列域,我们提供:
这些是先前数据集的改进形式和我们开发的新数据集。我们有描述数据集,系统和工具的单独文件。
| 版本 | 描述 |
|---|---|
| 4 | 数据修复 |
| 3 | 数据修复和添加来自蜘蛛和Wikisql的数据 |
| 2 | 带有错误定义的变量修复的数据 |
| 1 | ACL 2018论文中使用的数据 |
如果您在工作中使用此数据,请引用我们的ACL纸和适当的原始资源,并列出数据的版本编号。例如,在您的论文中,您可以写(使用下面的Bibtex):
In this work, we use version 4 of the modified SQL datasets from citet{data-advising}, based on citet{data-academic,data-atis-original,data-geography-original,data-atis-geography-scholar,data-imdb-yelp,data-restaurants-logic,data-restaurants-original,data-restaurants,data-spider,data-wikisql}
如果您仅使用一个数据集,则这里有示例引用命令:
| 数据 | 引用 |
|---|---|
| 学术的 | citet{data-advising,data-academic} |
| 建议 | citet{data-advising} |
| 阿蒂斯 | citet{data-advising,data-atis-original,data-atis-geography-scholar} |
| 地理 | citet{data-advising,data-geography-original,data-atis-geography-scholar} |
| 餐馆 | citet{data-advising,data-restaurants-logic,data-restaurants-original,data-restaurants} |
| 学者 | citet{data-advising,data-atis-geography-scholar} |
| 蜘蛛 | citet{data-advising,data-spider} |
| IMDB | citet{data-advising,data-imdb-yelp} |
| 喊叫 | citet{data-advising,data-imdb-yelp} |
| Wikisql | citet{data-advising,data-wikisql} |
@InProceedings{data-sql-advising,
dataset = {Advising},
author = {Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, and Dragomir Radev},
title = {Improving Text-to-SQL Evaluation Methodology},
booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
month = {July},
year = {2018},
location = {Melbourne, Victoria, Australia},
pages = {351--360},
url = {http://aclweb.org/anthology/P18-1033},
}
@InProceedings{data-sql-imdb-yelp,
dataset = {IMDB and Yelp},
author = {Navid Yaghmazadeh, Yuepeng Wang, Isil Dillig, and Thomas Dillig},
title = {SQLizer: Query Synthesis from Natural Language},
booktitle = {International Conference on Object-Oriented Programming, Systems, Languages, and Applications, ACM},
month = {October},
year = {2017},
pages = {63:1--63:26},
url = {http://doi.org/10.1145/3133887},
}
@article{data-academic,
dataset = {Academic},
author = {Fei Li and H. V. Jagadish},
title = {Constructing an Interactive Natural Language Interface for Relational Databases},
journal = {Proceedings of the VLDB Endowment},
volume = {8},
number = {1},
month = {September},
year = {2014},
pages = {73--84},
url = {http://dx.doi.org/10.14778/2735461.2735468},
}
@InProceedings{data-atis-geography-scholar,
dataset = {Scholar, and Updated ATIS and Geography},
author = {Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, and Luke Zettlemoyer},
title = {Learning a Neural Semantic Parser from User Feedback},
booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
year = {2017},
pages = {963--973},
location = {Vancouver, Canada},
url = {http://www.aclweb.org/anthology/P17-1089},
}
@article{data-atis-original,
dataset = {ATIS, original},
author = {Deborah A. Dahl, Madeleine Bates, Michael Brown, William Fisher, Kate Hunicke-Smith, David Pallett, Christine Pao, Alexander Rudnicky, and Elizabeth Shriber},
title = {{Expanding the scope of the ATIS task: The ATIS-3 corpus}},
journal = {Proceedings of the workshop on Human Language Technology},
year = {1994},
pages = {43--48},
url = {http://dl.acm.org/citation.cfm?id=1075823},
}
@inproceedings{data-geography-original
dataset = {Geography, original},
author = {John M. Zelle and Raymond J. Mooney},
title = {Learning to Parse Database Queries Using Inductive Logic Programming},
booktitle = {Proceedings of the Thirteenth National Conference on Artificial Intelligence - Volume 2},
year = {1996},
pages = {1050--1055},
location = {Portland, Oregon},
url = {http://dl.acm.org/citation.cfm?id=1864519.1864543},
}
@inproceedings{data-restaurants-logic,
author = {Lappoon R. Tang and Raymond J. Mooney},
title = {Automated Construction of Database Interfaces: Intergrating Statistical and Relational Learning for Semantic Parsing},
booktitle = {2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora},
year = {2000},
pages = {133--141},
location = {Hong Kong, China},
url = {http://www.aclweb.org/anthology/W00-1317},
}
@inproceedings{data-restaurants-original,
author = {Ana-Maria Popescu, Oren Etzioni, and Henry Kautz},
title = {Towards a Theory of Natural Language Interfaces to Databases},
booktitle = {Proceedings of the 8th International Conference on Intelligent User Interfaces},
year = {2003},
location = {Miami, Florida, USA},
pages = {149--157},
url = {http://doi.acm.org/10.1145/604045.604070},
}
@inproceedings{data-restaurants,
author = {Alessandra Giordani and Alessandro Moschitti},
title = {Automatic Generation and Reranking of SQL-derived Answers to NL Questions},
booktitle = {Proceedings of the Second International Conference on Trustworthy Eternal Systems via Evolving Software, Data and Knowledge},
year = {2012},
location = {Montpellier, France},
pages = {59--76},
url = {https://doi.org/10.1007/978-3-642-45260-4_5},
}
@InProceedings{data-spider,
author = {Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, and Dragomir Radev},
title = {Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task},
booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
year = {2018},
location = {Brussels, Belgium},
pages = {3911--3921},
url = {http://aclweb.org/anthology/D18-1425},
}
@article{data-wikisql,
author = {Victor Zhong, Caiming Xiong, and Richard Socher},
title = {Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning},
year = {2017},
journal = {CoRR},
volume = {abs/1709.00103},
}我们为修复数据集中的错误做出了巨大的努力,但它们都不是完美的。如果找到错误,请提交带有修复程序的拉请请求。我们将将修复程序合并到开发分支中,只有很少将所有这些更改合并到主分支中(此时将调整此页面,以指出它是一个新版本)。这种方法旨在平衡系统之间进行明确比较的需求,同时还可以改善数据。
有关要解决的问题的一些想法,请参阅我们的已知问题列表。
该材料的一部分是基于IBM根据合同4915012629的工作。任何表达的意见,发现,结论或建议是作者的意见,结论或建议,不一定反映了IBM的观点。