Dataset · Hugging Face

mteb/Kinetics700VAZeroShot

Name: Kinetics700VAZeroShot
Creator: mteb
License: cc-by-4.0
Keywords: task_categories:video-classification, annotations_creators:human-annotated, multilinguality:monolingual, source_datasets:mteb/kinetics-700-2020, 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

Kinetics700VAZeroShot An MTEB dataset Massive Text Embedding Benchmark Kinetics-700-2020 is a large-scale action recognition dataset containing 700 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 700 classes (11,190 examples). Task category VideoZeroshotClassification (video+audio-to-text) Domains Activity, Web… See the full description on the dataset page: https://huggingface.co/datasets/mteb/Kinetics700VAZeroShot.

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Author / organization	mteb
License (as declared)	cc-by-4.0
Downloads	136 (as reported by Hugging Face)
Likes	0
Created	10 October 2026
Last updated at source	10 October 2026

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