A 500-query benchmark for evaluating audio tool-use agents on deepfake-related forensic tasks. Each query is a multi-turn ReAct-style dialog in which an assistant invokes audio analysis tools (e.g. speaker_verification, nisqa, silero_vad, deepfake_audio, language_id, muq, calculator) over a single audio file and produces a final verdict.

Files

dataset.json — pretty-printed list of 500 records. dataset.jsonl — one record per line (preferred for… See the full description on the dataset page: https://huggingface.co/datasets/hardiksharma6555/DFToolBench-A-500.