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Multimodal Reasoning datasets
archive 2025-07-28
11 datasets carry the task tag "Multimodal Reasoning" (the task itself: Multimodal Reasoning), ordered by the archive's paper count. Page 1 of 1: 11 shown of 11. 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 Reasoning datasets 1–11 of 11
MeetingBank, a benchmark dataset created from the city councils of 6 major U.S.
16 papers · 1 benchmark
Math-Vision (Math-V) dataset is a meticulously curated collection of 3,040 high-quality mathematical problems with visual contexts sourced from real math competitions.
12 papers · 1 benchmark
Vision-language generative reward models (VL-GenRMs) play a crucial role in aligning and evaluating multimodal AI systems, yet their own evaluation remains under-explored.
8 papers · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
5 papers · 0 benchmarks
We introduce the novel task of multimodal puzzle solving, framed within the context of visual question-answering.
1 paper · 1 benchmark
EMMA (An Enhanced MultiModal ReAsoning Benchmark)
We introduce EMMA (Enhanced MultiModal reAsoning), a benchmark targeting organic multimodal reasoning across mathematics, physics, chemistry, and coding.
1 paper · 0 benchmarks
GameQA is a large-scale, diverse, and challenging multimodal reasoning dataset designed to enhance the general reasoning capabilities of Vision Language Models (VLMs).
1 paper · 0 benchmarks
PolyMATH, a challenging benchmark aimed at evaluating the general cognitive reasoning abilities of MLLMs.
1 paper · 0 benchmarks
The R1-Onevision dataset is a meticulously crafted resource designed to empower models with advanced multimodal reasoning capabilities.
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
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.