How to Use AgentTrove: Streaming 1.7M Agentic Traces and Building a Clean ShareGPT SFT Dataset in Python

A Python tutorial shows how to stream the large open-thoughts/AgentTrove dataset with Hugging Face Datasets.

It inspects and normalizes conversation turns, including tool interactions, to understand the trace schema.

The tutorial then filters successful trajectories and exports them as a clean ShareGPT-style JSONL dataset.

This provides a practical workflow for turning agentic traces into supervised fine-tuning data.