| --- |
| license: apache-2.0 |
| language: |
| - en |
| pretty_name: j |
| size_categories: |
| - n<1K |
| --- |
| |
| # CenQuery: Indian Census Text-to-SQL Dataset |
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| ## Project Overview |
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| CenQuery is a specialized Text-to-SQL system designed for Indian Census Data. This dataset was used to fine-tune the `defog/llama-3-sqlcoder-8b` model using QLoRA to handle complex natural language queries related to demographics, healthcare, and regional statistics. |
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| ## Dataset Composition |
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| The dataset is split into two primary components to ensure a rigorous evaluation of the model's generalization capabilities: |
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| - **Training Set (`old_train_(Mixed).jsonl`)**: 650 instruction-tuned examples covering diverse query patterns and schema joins. |
| - **Evaluation Set (`old_eval_(Mixed).jsonl`)**: 150 **unseen** questions used for final benchmarking and metric calculation (Execution Accuracy and Exact Match). |
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| ## Schema Information |
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| The queries operate on a relational schema representing several key census sectors: |
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| - **Population Stats**: Age-wise and gender-wise population data. |
| - **Healthcare Stats**: Vaccination and health infrastructure metrics. |
| - **Religion/Language Stats**: Distribution of religious groups and linguistic data. |
| - **Crop Stats**: Agricultural data including area sown and foodgrain statistics. |
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| Full DDL definitions are provided in the `database_schema.json` file in this repository. |
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| ## Prompt Format |
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| The data follows the SQLCoder-8B instruction format: |
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| - `### Task`: The natural language question. |
| - `### Database Schema`: Relevant table DDLs. |
| - `### SQL`: The ground-truth SQL query. |
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| ## Citation |
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| If using this dataset for research, please cite the CenQuery Project. |
