Dataset · Hugging Face

mteb/Kinetics600VAZeroShot

Name: Kinetics600VAZeroShot
Creator: mteb
License: cc-by-4.0
Keywords: task_categories:video-classification, annotations_creators:human-annotated, multilinguality:monolingual, source_datasets:mteb/kinetics-600, language:eng, license:cc-by-4.0, size_categories:10K<n<100K, format:parquet, modality:audio, modality:text, modality:video, library:datasets, library:dask, library:polars, library:mlcroissant

Kinetics600VAZeroShot An MTEB dataset Massive Text Embedding Benchmark Kinetics-600 is a large-scale action recognition dataset containing 600 human action classes from YouTube videos. Each clip is approximately 10 seconds long. This variant uses both video and audio modalities. Sampled the official test split, capped at 16 per class across 600 classes (9,576 examples). Task category VideoZeroshotClassification (video+audio-to-text) Domains Activity, Web Reference A… See the full description on the dataset page: https://huggingface.co/datasets/mteb/Kinetics600VAZeroShot.

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Author / organization	mteb
License (as declared)	cc-by-4.0
Downloads	276 (as reported by Hugging Face)
Likes	0
Created	10 October 2026
Last updated at source	10 October 2026

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