Home › Datasets › task › Video Description
Video Description datasets
archive 2025-07-28
9 datasets carry the task tag "Video Description" (the task itself: Video Description), ordered by the archive's paper count. Page 1 of 1: 9 shown of 9. 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
Video Description datasets 1–9 of 9
The Flickr30k dataset contains 31,000 images collected from Flickr, together with 5 reference sentences provided by human annotators.
880 papers · 9 benchmarks
Augments the video-description dataset TACoS with short and single sentence descriptions.
45 papers · 1 benchmark
This data set was prepared from 88 open-source YouTube cooking videos.
45 papers · 0 benchmarks
ActivityNet-Entities, augments the challenging ActivityNet Captions dataset with 158k bounding box annotations, each grounding a noun phrase.
18 papers · 0 benchmarks
We propose a new, scalable video-mining pipeline which transfers captioning supervision from image datasets to video and audio.
10 papers · 0 benchmarks
EDUB-Seg (Egocentric Dataset of the University of Barcelona – Segmentation)
Egocentric Dataset of the University of Barcelona – Segmentation (EDUB-Seg) is a dataset for egocentric event segmentation acquired by the Narrative Clip, which takes a picture every 30 seconds.
4 papers · 0 benchmarks
The dataset contains the annotations of characters' visual appearances, in the form of tracks of face bounding boxes, and the associations with characters' textual mentions, when available.
3 papers · 1 benchmark
DeVAn (Dense Video Annotation for Video-Language Models)
DeVAn is a multi-modal dataset containing 8.5K video clips carefully selected from previously published YouTube-based video datasets (YouTube-8M and YT-Temporal-1B) that integrate visual and auditory information.
1 paper · 0 benchmarks
100 videos with varying danger levels (on a scale of 0-10) and different scenarios, annotated by 18 human annotators using our annotation pipeline to represent human perception and respective Vision Language model summaries for each of the…
1 paper · 0 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.