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Text · dataset · 2026

Agent Planning SFT (50K)

Listed in Hugging Face Datasets

Description

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: huggingface.co/datasets/stindardlogic/agent-planning-sft-50k.

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Stated by source
text · text generation
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsstindardlogic/agent-planning-sft-50k15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:text-generationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0