zhangkangning/LoopTool-23k

Overview LoopTool is a fully automatic, model-aware iterative framework that tightly couples data generation and model training for tool-augmented LLM learning The LoopTool-2w is released as part of Closing the Data–Training Loop for Robust LLM Tool Calls The dataset comprises 23,040 tool-call samples, involving 20,813 APIs. In each sample, the instruction contains the corresponding set of available tools for that sample; the input corresponds to the dialogue history of the… See the full description on the dataset page: https://huggingface.co/datasets/zhangkangning/LoopTool-23k.

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