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Zero-Shot Video Retrieval datasets

archive 2025-07-28

7 datasets carry the task tag "Zero-Shot Video Retrieval" (the task itself: Zero-Shot Video Retrieval), ordered by the archive's paper count. Page 1 of 1: 7 shown of 7. 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 Video Retrieval datasets 1–7 of 7

The ActivityNet dataset contains 200 different types of activities and a total of 849 hours of videos collected from YouTube.
807 papers · 17 benchmarks
MSR-VTT (Microsoft Research Video to Text) is a large-scale dataset for the open domain video captioning, which consists of 10,000 video clips from 20 categories, and each video clip is annotated with 20 English sentences by Amazon…
640 papers · 8 benchmarks
MSVD (Microsoft Research Video Description Corpus)
The Microsoft Research Video Description Corpus (MSVD) dataset consists of about 120K sentences collected during the summer of 2010.
327 papers · 3 benchmarks
DiDeMo (Distinct Describable Moments)
The Distinct Describable Moments (DiDeMo) dataset is one of the largest and most diverse datasets for the temporal localization of events in videos given natural language descriptions.
216 papers · 3 benchmarks
YouCook2 is the largest task-oriented, instructional video dataset in the vision community.
198 papers · 7 benchmarks
LSMDC (Large Scale Movie Description Challenge)
This dataset contains 118,081 short video clips extracted from 202 movies.
126 papers · 3 benchmarks
VATEX (Video And TEXt)
VATEX is multilingual, large, linguistically complex, and diverse dataset in terms of both video and natural language descriptions.
118 papers · 3 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.