ArtificialAnalysis/big_bench_audio

Artificial Analysis Big Bench Audio Dataset Summary Big Bench Audio is an audio version of a subset of Big Bench Hard questions. The dataset can be used for evaluating the reasoning capabilities of models that support audio input. The dataset includes 1000 audio recordings for all questions from the following Big Bench Hard categories. Descriptions are taken from Suzgun et al. (2022): Formal Fallacies Syllogisms Negation (Formal Fallacies) - 250 questions Given a context… See the full description on the dataset page: https://huggingface.co/datasets/ArtificialAnalysis/big_bench_audio.

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