yibotongxue/Data-Prep-Bench
Data-Prep-Bench Dataset Overview This dataset is a comprehensive resource built for Supervised Fine-Tuning (SFT) and evaluation of Large Language Models (LLMs), covering six domains: Finance, Medicine, Law, Mathematics, Science, and General. A key feature of this dataset is that we employed 12 different data generation methods (including Agent-based methods, DataFlow series, pure LLM-based generation, and a SKILL method) using multiple cutting-edge models (such as… See the full description on the dataset page: https://huggingface.co/datasets/yibotongxue/Data-Prep-Bench.
| Author / organization | yibotongxue |
|---|---|
| License (as declared) | mit |
| Downloads | 197 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 2 May 2026 |
| Last updated at source | 2 May 2026 |
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- 17 Oct 2026 Description: Data-Prep-Bench Dataset Overview This dataset is a comprehensive resource built for Supervised Fine-Tuning (SFT) and evaluation of Large Language Models (LLMs), covering six domains: Finance, Medicine, Law, Mathematics, Science, and General → Data-Prep-Bench Dataset Overview This dataset is a comprehensive resource built for Supervised Fine-Tuning (SFT) and evaluation of Large Language Models (LLMs), covering six domains: Finance, Medicine, Law, Mathematics, Science, and General
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