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Zero-Shot Action Recognition datasets

archive 2025-07-28

6 datasets carry the task tag "Zero-Shot Action Recognition" (the task itself: Zero-Shot Action Recognition), ordered by the archive's paper count. Page 1 of 1: 6 shown of 6. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Zero-Shot Action Recognition datasets 1–6 of 6

UCF101 (UCF101 Human Actions dataset)
UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories.
1,863 papers · 23 benchmarks
Kinetics (Kinetics Human Action Video Dataset)
The Kinetics dataset is a large-scale, high-quality dataset for human action recognition in videos.
1,341 papers · 18 benchmarks
The HMDB51 dataset is a large collection of realistic videos from various sources, including movies and web videos.
839 papers · 10 benchmarks
The ActivityNet dataset contains 200 different types of activities and a total of 849 hours of videos collected from YouTube.
807 papers · 17 benchmarks
The Charades dataset is composed of 9,848 videos of daily indoors activities with an average length of 30 seconds, involving interactions with 46 objects classes in 15 types of indoor scenes and containing a vocabulary of 30 verbs leading…
428 papers · 6 benchmarks
The THUMOS14 (THUMOS 2014) dataset is a large-scale video dataset that includes 1,010 videos for validation and 1,574 videos for testing from 20 classes.
318 papers · 18 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.