bunny127/Reagent-SFT-55.6K
Official Repo of Reagent Agent SFT training dataset (Reagent-SFT-55.6K). Paper: https://arxiv.org/abs/2601.22154 Abstract: Agentic Reinforcement Learning (Agentic RL) has achieved notable success in enabling agents to perform complex reasoning and tool use. However, most methods still relies on sparse outcome-based reward for training. Such feedback fails to differentiate intermediate reasoning quality, leading to suboptimal training results. In this paper, we… See the full description on the dataset page: https://huggingface.co/datasets/bunny127/Reagent-SFT-55.6K.
| Author / organization | bunny127 |
|---|---|
| Downloads | 417 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 20 January 2026 |
| Last updated at source | 3 February 2026 |
Popularity, last 3 days
417 now (-22 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Official Repo of Reagent Agent SFT training dataset (Reagent-SFT-55.6K). Paper: https://arxiv.org/abs/2601.22154 Abstract: Agentic Reinforcement Learning (Agentic RL) has achieved notable success in enabling agents to perform complex reason → Official Repo of Reagent Agent SFT training dataset (Reagent-SFT-55.6K). Paper: https://arxiv.org/abs/2601.22154 Abstract: Agentic Reinforcement Learning (Agentic RL) has achieved notable success in enabling agents to perform complex reason
Changes detected by Silytics between refreshes of the source.
More from bunny127
- bunny127/Reagent-RL-709KDataset
- bunny127/EviLensDataset
- bunny127/SophiaVL-R1-130kDataset
- bunny127/Reagent-RRM-SFT-28KDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.