datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tool-reasoning-sft-CODING-nvidia-Nemotron-Agentic-v1
Nemotron-Agentic-v1 — Cleaned & Rectified
335k multi-turn agentic tool-use trajectories from NVIDIA's Nemotron-Agentic-v1, converted into a strict reasoning + tool-call format with validated FSM transitions.
Origin
Derived from nvidia/Nemotron-Agentic-v1.
Nemotron-Agentic-v1 is a synthetic dataset of multi-turn conversations where language models decompose user goals, decide when to call tools, and reason over tool outputs. Trajectories are generated by simulating user… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-CODING-nvidia-Nemotron-Agentic-v1.agentic-synth-reasoning
Agentic Synth Reasoning
Synthetic reasoning traces for multi-step agentic behavior, generated incrementally from nvidia/Nemotron-SFT-Agentic-v2.
Dataset Summary
Each record contains a multi-turn agentic conversation with synthetically generated reasoning traces (reasoning_content) attached to each assistant turn. The reasoning was produced incrementally — for each assistant message, only the conversation prefix up to that point was fed to the reasoning model… See the full description on the dataset page: https://huggingface.co/datasets/mkurman/agentic-synth-reasoning.Agentic-Reasoningjson-mode-agentic-reasoning