--- license: mit --- # Fine-Tuned Google T5 Model for Text to SQL Translation This repository contains a fine-tuned version of the Google T5 model, specifically trained for the task of translating natural language queries into SQL statements. ## Model Details - **Architecture**: Google T5 (Text-to-Text Transfer Transformer) - **Task**: Text to SQL Translation - **Fine-Tuning Datasets**: - [sql-create-context Dataset](https://huggingface.co/datasets/b-mc2/sql-create-context) - [Synthetic-Text-To-SQL Dataset](https://huggingface.co/datasets/gretelai/synthetic-text-to-sql) ## Fine-Tuning Datasets 1. **sql-create-context Dataset**: - This dataset was created by modifying data from the following sources: - Zhong, Victor, et al. "Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning." (2017). - Yu, Tao, et al. "Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task." (2018). - Citation: ```bibtex @misc{b-mc2_2023_sql-create-context, title = {sql-create-context Dataset}, author = {b-mc2}, year = {2023}, url = {https://huggingface.co/datasets/b-mc2/sql-create-context}, note = {This dataset was created by modifying data from the following sources: \cite{zhongSeq2SQL2017, yu2018spider}.}, } ``` 2. **Synthetic-Text-To-SQL Dataset**: - A synthetic dataset for training language models to generate SQL queries from natural language prompts. - Citation: ```bibtex @software{gretel-synthetic-text-to-sql-2024, author = {Meyer, Yev and Emadi, Marjan and Nathawani, Dhruv and Ramaswamy, Lipika and Boyd, Kendrick and Van Segbroeck, Maarten and Grossman, Matthew and Mlocek, Piotr and Newberry, Drew}, title = {{Synthetic-Text-To-SQL}: A synthetic dataset for training language models to generate SQL queries from natural language prompts}, month = {April}, year = {2024}, url = {https://huggingface.co/datasets/gretelai/synthetic-text-to-sql} } ``` ## Ongoing Work I am currently working to implement PICARD (Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models) to improve the results of this model. More details can be found in the original PICARD paper: - Citation: ```bibtex @misc{scholak2021picardparsingincrementallyconstrained, title={PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models}, author={Torsten Scholak and Nathan Schucher and Dzmitry Bahdanau}, year={2021}, eprint={2109.05093}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2109.05093}, }