Multi-turn tool-calling trajectories for training AI agents using the Hermes Agent harness. Each sample is a real agent conversation with step-by-step reasoning ( blocks) and actual tool execution results. This dataset has two configs, one per source model:

Config Model Samples

kimi Moonshot AI Kimi-K2.5 7,646

glm-5.1 ZhipuAI GLM-5.1-FP8 7,055

from datasets import load_dataset

ds =… See the full description on the dataset page: https://huggingface.co/datasets/Mattral/hermes-agent-reasoning-traces.