This is a version of the training data utilized for ToolRM, a collection of outcome reward models specifically designed for evaluating and improving function-calling capabilities in large language models. It consists of ~459K examples, where each example includes a user-assistant conversation, available tool specifications, and a pair of correct and incorrect tool calls. The incorrect calls were generated by prompting 9ā¦ See the full description on the dataset page:
https://huggingface.co/datasets/alucent/mirror-ToolRM-train-data.
