hari-krishna-ai/enterprise-text-to-sql-benchmark

Enterprise Text-to-SQL Benchmark 3,087 natural-language questions paired with executable PostgreSQL, over a 12-table enterprise schema (sales, catalogue, logistics, HR). Built to answer one question honestly: does fine-tuning actually improve text-to-SQL? On this benchmark, a QLoRA fine-tune of Qwen3-8B took strict execution accuracy from 43.71 % to 68.43 %, and 70.86 % with a self-correction loop — and the benchmark is designed so that number cannot be inflated by leakage or by… See the full description on the dataset page: https://huggingface.co/datasets/hari-krishna-ai/enterprise-text-to-sq

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