stindardlogic/agent-planning-sft-50k

Agent Planning SFT (50K) 50,000 ShareGPT-format conversations demonstrating ReAct-style agent reasoning: explicit Thought -> Action -> Observation cycles leading to grounded Final Answers across research, coding, data analysis, troubleshooting, planning, writing, and estimation tasks. Motivation Most LLM training data shows answers, not the reasoning process that produces them. Agentic systems need models that can: Decompose complex tasks into concrete sub-steps… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/agent-planning-sft-50k.

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