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Text-to-Video Generation datasets
archive 2025-07-28
14 datasets carry the task tag "Text-to-Video Generation" (the task itself: Text-to-Video Generation), ordered by the archive's paper count. Page 1 of 1: 14 shown of 14. 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
Text-to-Video Generation datasets 1–14 of 14
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
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
The 20BN-SOMETHING-SOMETHING V2 dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with everyday objects.
290 papers · 7 benchmarks
WebVid contains 10 million video clips with captions, sourced from the web.
257 papers · 1 benchmark
CelebV-Text comprises 70,000 in-the-wild face video clips with diverse visual content, each paired with 20 texts generated using the proposed semi-automatic text generation strategy.
15 papers · 0 benchmarks
OpenS2V-Eval introduces 180 prompts from seven major categories of S2V, which incorporate both real and synthetic test data.
8 papers · 1 benchmark
This dataset contains around 10000 videos generated by various methods using the Prompt list.
6 papers · 1 benchmark
ChronoMagic with 2265 metamorphic time-lapse videos, each accompanied by a detailed caption.
5 papers · 0 benchmarks
Description - Venue: NeurIPS 2024 D&B Spotlight - Repository: Code, Page, Data - Paper: arxiv.org/abs/2406.18522 - Point of Contact: Shenghai Yuan Citation If you find our paper and code useful in your research, please consider giving a…
2 papers · 0 benchmarks
Description - Venue: NeurIPS 2024 D&B Spotlight - Repository: Code, Page, Data - Paper: arxiv.org/abs/2406.18522 - Point of Contact: Shenghai Yuan Citation If you find our paper and code useful in your research, please consider giving a…
1 paper · 0 benchmarks
Description - Repository: Code, Page, Data - Paper: arxiv.org/abs/2411.17440 - Point of Contact: Shenghai Yuan Citation If you find our paper and code useful in your research, please consider giving a star and citation.
1 paper · 0 benchmarks
We create the first open-source large-scale S2V generation dataset OpenS2V-5M, which consists of five million high-quality 720P subject-text-video triples.
1 paper · 1 benchmark
Vript (🎬 Vript: A Video Is Worth Thousands of Words)
We construct a fine-grained video-text dataset with 12K annotated high-resolution videos (~400k clips).
0 papers · 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.