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--- |
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license: cc-by-4.0 |
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language: |
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- tr |
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tags: |
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- Text-to-SQL |
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- NL2SQL |
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--- |
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# Dataset Card for TURSpider |
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[TURSpider](https://github.com/alibugra/TURSpider/) is a human curated variant of the [Spider](https://yale-lily.github.io/spider) Text-to-SQL database. |
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The source GIT repo for TURSpider is located here: https://github.com/alibugra/TURSpider/ |
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## Paper Abstract |
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> This paper introduces TURSpider, a novel Turkish Text-to-SQL dataset developed through human translation of the widely used Spider dataset, aimed at addressing the current lack of complex, cross-domain SQL datasets for the Turkish language. TURSpider incorporates a wide range of query difficulties, including nested queries, to create a comprehensive benchmark for Turkish Text-to-SQL tasks. The dataset enables cross-language comparison and significantly enhances the training and evaluation of large language models (LLMs) in generating SQL queries from Turkish natural language inputs. We fine-tuned several Turkish-supported LLMs on TURSpider and evaluated their performance in comparison to state-of-the-art models like GPT-3.5 Turbo and GPT-4. Our results show that fine-tuned Turkish LLMs demonstrate competitive performance, with one model even surpassing GPT-based models on execution accuracy. We also apply the Chain-of-Feedback (CoF) methodology to further improve model performance, demonstrating its effectiveness across multiple LLMs. This work provides a valuable resource for Turkish NLP and addresses specific challenges in developing accurate Text-to-SQL models for low-resource languages. |
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## Citation Information |
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``` |
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@ARTICLE{10753591, |
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author={Kanburoglu, Ali Bugra and Boray Tek, Faik}, |
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journal={IEEE Access}, |
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title={TURSpider: A Turkish Text-to-SQL Dataset and LLM-Based Study}, |
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year={2024}, |
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volume={12}, |
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number={}, |
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pages={169379-169387}, |
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keywords={Training;Structured Query Language;Accuracy;Error analysis;Large language models;Benchmark testing;Cognition;Encoding;Text-to-SQL;LLM;large language models;Turkish;dataset;TURSpider}, |
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doi={10.1109/ACCESS.2024.3498841}} |
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``` |
