Mar 8, 2026 · Artificial Intelligence

EasyDataset: End-to-End Guide for Generating QA Datasets for LLM Fine‑Tuning

This article walks through the complete workflow of using EasyDataset to create high‑quality question‑answer pairs for supervised fine‑tuning, covering question generation (single and batch), three generation algorithms, answer generation (including chain‑of‑thought and multi‑turn dialogue), a hybrid quality‑assessment pipeline, and export to Alpaca or ShareGPT formats.

Alpaca formatData QualityEasyDataset

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EasyDataset: End-to-End Guide for Generating QA Datasets for LLM Fine‑Tuning

AntTech

Dec 19, 2023 · Artificial Intelligence

RJUA‑QA: A Comprehensive Urology QA Dataset for Large Language Model Evaluation

RJUA‑QA is a newly released, large‑scale urology question‑answer dataset constructed from virtual patient records based on clinical experience, featuring 2,132 QA pairs with extensive context, designed to benchmark and improve large language models’ medical reasoning, diagnosis, and treatment recommendation capabilities.

DatasetQA datasetUrology

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RJUA‑QA: A Comprehensive Urology QA Dataset for Large Language Model Evaluation