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multimodal generation datasets

archive 2025-07-28

6 datasets carry the task tag "multimodal generation" (the task itself: multimodal generation), 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

multimodal generation datasets 1–6 of 6

Multi-Modal-CelebA-HQ is a large-scale face image dataset that has 30,000 high-resolution face images selected from the CelebA dataset by following CelebA-HQ.
27 papers · 3 benchmarks
MMNeedle (Multimodal Needle in a Haystack)
We introduce the MultiModal Needle-in-a-haystack (MMNeedle) benchmark, specifically designed to assess the long-context capabilities of MLLMs.
12 papers · 1 benchmark
Alex-20: contains ~1.3M general inorganic materials curated from the Alexandria database, with energy above the convex hull less than 0.1 eV/atom and no more than 20 atoms in unit cell.
1 paper · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
REBUS (A Robust Evaluation Benchmark of Understanding Symbols)
Recent advances in large language models have led to the development of multimodal LLMs (MLLMs), which take both image data and text as an input.
1 paper · 1 benchmark
taste-music-dataset (Taste Music Dataset)
This dataset is a patched version of The Taste & Affect Music Database by D.
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.