Dataset · Hugging Face

mteb/Kinetics600VZeroShot

Name: Kinetics600VZeroShot
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:text, modality:video, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:1808.01340

Kinetics600VZeroShot 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 video only. Sampled the official test split, capped at 16 per class across 600 classes (9,576 examples). Task category VideoZeroshotClassification (video-to-text) Domains Activity, Web Reference A Short Note about Kinetics-600… See the full description on the dataset page: https://huggingface.co/datasets/mteb/Kinetics600VZeroShot.

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Author / organization	mteb
License (as declared)	cc-by-4.0
Downloads	237 (as reported by Hugging Face)
Likes	0
Created	10 October 2026
Last updated at source	10 October 2026

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