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dongguanting/Agent-Reflex-SFT-54K

Agent-Reflex-SFT-54K Paper: arXiv:2610.17953 · Hugging Face Papers The ReSFT data of Agent-Reflex: 54,663 verifier-validated multi-turn tool-use trajectories (56 shards, 2.6 GB) covering self-reflection, skill-guided recovery and user-centric correction. It trains Qwen3-8B for 3 epochs (5,127 steps) with LLaMA-Factory. Format ShareGPT with tools, one trajectory per line: Field Content system system prompt tools JSON string of the tool schemas… See the full description on the dataset page: https://huggingface.co/datasets/dongguanting/Agent-Reflex-SFT-54K.

Author / organizationdongguanting
License (as declared)mit
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Created9 October 2026
Last updated at source14 October 2026
agenttool-usefunction-callingreflectionsft
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