--- license: cc-by-4.0 task_categories: - audio-classification - question-answering language: - en pretty_name: Real Audio Bench --- # Real Audio Bench Real Audio Bench is a compact human-recorded benchmark for streaming spoken reasoning. The benchmark contains 186 English audio recordings. Each item is a natural spoken question in which an early answer can be misleading until a later cue is heard. Audio files are hosted at: https://huggingface.co/datasets/Oulasong/Real_Audio_Bench ## Files - `audio/`: 186 WAV files. - `real_audio_bench_manifest.jsonl`: one metadata row per audio file, including the transcript-style question, corrected gold answer, and item metadata. - `real_audio_bench_manifest.csv`: CSV version of the same manifest. - `real_audio_bench_gold_answers.csv`: compact table with audio path, question, gold answer, and basic tags for manual inspection. ## Manifest schema Each row contains: - `audio_path`: relative path of the WAV file in the Hugging Face dataset. - `reader`: speaker/reader id. - `item`: item id within the reader packet. - `source_id`: source item identifier used during benchmark construction. - `question`: spoken prompt text. - `gold_answer`: reference answer used for evaluation. - `category`, `difficulty`, `scenario`, `mechanism`, `duration`: construction metadata. - `critical_cue`, `why_early_answer_is_wrong`, `speaker_note`: explanatory metadata from the reader packet. ## Construction summary The benchmark was constructed from scripted spoken-reasoning prompts and recorded by five internal readers. The final public split keeps 186 recordings after removing ambiguous or unsuitable items from the 200-item reader packet. The manifest contains the reference answers used for evaluation. ## Intended use This benchmark is intended as a compact transfer check for models that answer spoken questions from real human recordings. It is not intended as a large-scale user study or as a general-purpose speech recognition benchmark. ## License This dataset is released under CC BY 4.0. ## Release notes This release contains 186 manifest rows and 186 unique audio paths. Each row has a non-empty reference answer.