TURSpider: A Turkish Text-to-SQL Dataset and LLM-Based Study Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1109/access.2024.3498841
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.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.1109/access.2024.3498841
- OA Status
- gold
- Cited By
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- References
- 31
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4404411228Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2024.3498841Digital Object Identifier
- Title
-
TURSpider: A Turkish Text-to-SQL Dataset and LLM-Based StudyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
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2024-01-01Full publication date if available
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-
Ali Buğra Kanburoğlu, F. Boray TekList of authors in order
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https://doi.org/10.1109/access.2024.3498841Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1109/access.2024.3498841Direct OA link when available
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Computer science, Turkish, SQL, SQL/PSM, Database, Information retrieval, World Wide Web, Natural language processing, Query by Example, Linguistics, Web search query, Search engine, PhilosophyTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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31Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.comparison | 58, 92 |
| abstract_inverted_index.developing | 153 |
| abstract_inverted_index.evaluation | 65 |
| abstract_inverted_index.fine-tuned | 81, 105 |
| abstract_inverted_index.generating | 72 |
| abstract_inverted_index.introduces | 2 |
| abstract_inverted_index.languages. | 159 |
| abstract_inverted_index.surpassing | 115 |
| abstract_inverted_index.Text-to-SQL | 7, 52, 155 |
| abstract_inverted_index.competitive | 109 |
| abstract_inverted_index.demonstrate | 108 |
| abstract_inverted_index.methodology | 127 |
| abstract_inverted_index.performance | 90 |
| abstract_inverted_index.translation | 12 |
| abstract_inverted_index.cross-domain | 27 |
| abstract_inverted_index.incorporates | 35 |
| abstract_inverted_index.low-resource | 158 |
| abstract_inverted_index.performance, | 110, 132 |
| abstract_inverted_index.comprehensive | 48 |
| abstract_inverted_index.demonstrating | 133 |
| abstract_inverted_index.difficulties, | 41 |
| abstract_inverted_index.effectiveness | 135 |
| abstract_inverted_index.significantly | 60 |
| abstract_inverted_index.cross-language | 57 |
| abstract_inverted_index.state-of-the-art | 94 |
| abstract_inverted_index.Chain-of-Feedback | 125 |
| abstract_inverted_index.Turkish-supported | 83 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.7296796 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |