Dataset · Hugging Face

mteb/RavdessZeroshot

Name: RavdessZeroshot
Creator: mteb
License: cc-by-nc-sa-3.0
Keywords: task_categories:other, task_categories:text-to-audio, task_ids:sentiment-classification, annotations_creators:human-annotated, multilinguality:monolingual, source_datasets:mteb/RavdessZeroshot, language:eng, license:cc-by-nc-sa-3.0, size_categories:1K<n<10K, format:parquet, modality:audio, modality:text, library:datasets, library:dask, library:polars

RavdessZeroshot An MTEB dataset Massive Text Embedding Benchmark Emotion classification Dataset. RAVDESS contains 24 professional actors (12 female, 12 male), vocalizing two lexically-matched statements in a neutral North American accent. Speech emotions includes neutral,calm, happy, sad, angry, fearful, surprise, and disgust expressions. These 8 emtoions also serve as labels for the dataset. Task category AudioZeroshotClassification (audio-to-text) Domains Spoken… See the full description on the dataset page: https://huggingface.co/datasets/mteb/RavdessZeroshot.

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Author / organization	mteb
License (as declared)	cc-by-nc-sa-3.0
Downloads	498 (as reported by Hugging Face)
Likes	0
Created	16 January 2026
Last updated at source	10 October 2026

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