A commercial-grade, synthetic, multi-turn agentic tool-calling dataset
for supervised fine-tuning (SFT) of LLMs on agent trajectories. 5,000 conversations,
18,481 tool calls, 30.5 % include genuine error-recovery branches — the
capability most under-represented in existing open datasets.
Most open tool-calling corpora (xLAM, Gorilla, ToolBench, Hermes-Function-Calling)
are dominated by single-turn… See the full description on the dataset page:
https://huggingface.co/datasets/voxozi/agentforge-multiturn-toolcall.
