Dataset · Hugging Face

mispeech/MECAT-Caption

Name: MECAT-Caption
Creator: mispeech
License: cc-by-3.0
Keywords: task_categories:audio-classification, task_categories:audio-text-to-text, task_categories:summarization, task_categories:question-answering, language:en, license:cc-by-3.0, size_categories:10K<n<100K, format:webdataset, modality:audio, modality:image, modality:text, library:datasets, library:webdataset, library:mlcroissant, arxiv:2507.23511

MECAT: A Multi-Experts Constructed Benchmark for Fine-Grained Audio Understanding Tasks 📖 Paper | 🛠️ GitHub | 🎧 Demo | 🔊 MECAT-QA (HF) Dataset Description MECAT (Multi-Expert Chain for Audio Tasks) is a comprehensive benchmark constructed on large-scale data to evaluate machine understanding of audio content through two core tasks: Audio Captioning: Generating textual descriptions for given audio Audio Question Answering: Answering questions about given audio Generated via… See the full description on the dataset page: https://huggingface.co/datasets/mispeech/MECAT-Caption.

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Author / organization	mispeech
License (as declared)	cc-by-3.0
Downloads	375 (as reported by Hugging Face)
Likes	4
Created	4 July 2025
Last updated at source	11 May 2026

audiocaptioningquestion-answeringmultimodalbenchmark

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