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Real-world enterprise text-to-SQL workflows often involve complex cloud or local data across various database systems, multiple SQL queries in various dialects, and diverse operations from data transformation to analytics.
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Seq2sql: Generating structured queries from natural language using reinforcement learning
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Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer, and Michael D Ernst · 2018
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Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task
Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, et al · 2018
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Text-to-sql generation for question answering on electronic medical records
Ping Wang, Tian Shi, and Chandan K Reddy · 2020
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Program synthesis with large language models
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde De Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
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Text-to-sql in the wild: A naturally-occurring dataset based on stack exchange data
Moshe Hazoom, Vibhor Malik, and Ben Bogin · 2021
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Kaggledbqa: Realistic evaluation of text-to-sql parsers
Chia-Hsuan Lee, Oleksandr Polozov, and Matthew Richardson · 2021
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React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik R Narasimhan, and Yuan Cao · 2022
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Planning with large language models for code generation
Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B Tenenbaum, and Chuang Gan · 2022
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Teaching large language models to self-debug
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C3: Zero-shot text-to-sql with chatgpt
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Qian Huang, Jian Vora, Percy Liang, and Jure Leskovec · 2023
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Carlos E Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik R Narasimhan · 2023
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Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-tau Yih, Daniel Fried, Sida Wang, and Tao Yu · 2023
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Text-to-sql empowered by large language models: A benchmark evaluation
Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, and Jingren Zhou · 2024
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Da-code: Agent data science code generation benchmark for large language models
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Gpt-4 technical report. arxiv 2303.08774
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Natural language to code generation in interactive data science notebooks
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Act-sql: In-context learning for text-to-sql with automatically-generated chain-of-thought
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