RFCD is a registry-based dataset for evaluating function-calling behavior under realistic scaling conditions. Each instance consists of a user query, a registry of candidate function schemas, and a ground-truth target indicating either the correct function call or abstention. By varying registry size while keeping the task fixed, RFCD isolates the effect of scale on tool selection and argument generation.
Dataset Statistics… See the full description on the dataset page: https://huggingface.co/datasets/functioncallingdataset/fcd.
