llm-jp/llm-jp-4-8b-thinking-dpo-data
llm-jp-4-8b-thinking-dpo-data Overview This dataset is a Direct Preference Optimization (DPO) dataset used to train llm-jp-4-8b-thinking. It is constructed by pairing multiple candidate responses for a given prompt and selecting preferred (chosen) and non-preferred (rejected) responses. The splits reasoning_low, reasoning_medium, and reasoning_high correspond to different reasoning effort settings used during response generation. The fields chosen_analysis… See the full description on the dataset page: https://huggingface.co/datasets/llm-jp/llm-jp-4-8b-thinking-dpo-data.
| Author / organization | llm-jp |
|---|---|
| Downloads | 263 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 31 March 2026 |
| Last updated at source | 24 April 2026 |
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- 17 Oct 2026 Description: llm-jp-4-8b-thinking-dpo-data Overview This dataset is a Direct Preference Optimization (DPO) dataset used to train llm-jp-4-8b-thinking. It is constructed by pairing multiple candidate responses for a given prompt and selecting preferred ( → llm-jp-4-8b-thinking-dpo-data Overview This dataset is a Direct Preference Optimization (DPO) dataset used to train llm-jp-4-8b-thinking. It is constructed by pairing multiple candidate responses for a given prompt and selecting preferred (
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