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license: mit |
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# Fine-Tuned Google T5 Model for Text to SQL Translation |
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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. |
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## Model Details |
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- **Architecture**: Google T5 (Text-to-Text Transfer Transformer) |
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- **Task**: Text to SQL Translation |
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- **Fine-Tuning Datasets**: |
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- [sql-create-context Dataset](https://huggingface.co/datasets/b-mc2/sql-create-context) |
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- [Synthetic-Text-To-SQL Dataset](https://huggingface.co/datasets/gretelai/synthetic-text-to-sql) |
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## Fine-Tuning Datasets |
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1. **sql-create-context Dataset**: |
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- This dataset was created by modifying data from the following sources: |
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- Zhong, Victor, et al. "Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning." (2017). |
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- Yu, Tao, et al. "Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task." (2018). |
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- Citation: |
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```bibtex |
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@misc{b-mc2_2023_sql-create-context, |
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title = {sql-create-context Dataset}, |
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author = {b-mc2}, |
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year = {2023}, |
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url = {https://huggingface.co/datasets/b-mc2/sql-create-context}, |
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note = {This dataset was created by modifying data from the following sources: \cite{zhongSeq2SQL2017, yu2018spider}.}, |
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} |
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``` |
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2. **Synthetic-Text-To-SQL Dataset**: |
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- A synthetic dataset for training language models to generate SQL queries from natural language prompts. |
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- Citation: |
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```bibtex |
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@software{gretel-synthetic-text-to-sql-2024, |
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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}, |
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title = {{Synthetic-Text-To-SQL}: A synthetic dataset for training language models to generate SQL queries from natural language prompts}, |
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month = {April}, |
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year = {2024}, |
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url = {https://huggingface.co/datasets/gretelai/synthetic-text-to-sql} |
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} |
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``` |
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## Ongoing Work |
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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: |
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- Citation: |
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```bibtex |
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@misc{scholak2021picardparsingincrementallyconstrained, |
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title={PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models}, |
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author={Torsten Scholak and Nathan Schucher and Dzmitry Bahdanau}, |
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year={2021}, |
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eprint={2109.05093}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2109.05093}, |
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} |
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