tpls/gemma4-coder-tool-eval
Gemma-4 Coder — tool-calling gate suite The 8-case eval behind the tool-call pass rate in our model cards' model-index: positive prompts where the model must emit a structured tool call, plus a no-tool abstain case (it must answer directly, not hallucinate a call). Use it to measure any local tool-calling model the same way we do — or to reproduce our numbers. from datasets import load_dataset cases = load_dataset("tpls/gemma4-coder-tool-eval", split="train") # each: {name… See the full description on the dataset page: https://huggingface.co/datasets/tpls/gemma4-coder-tool-eval.
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dataset card (gate suite)
add tool_calib.txt
add tool_eval_cases.jsonl
dataset card (gate suite)
initial commit
