Home › Datasets › task › Spatial Reasoning

Spatial Reasoning datasets

archive 2025-07-28

5 datasets carry the task tag "Spatial Reasoning" (the task itself: Spatial Reasoning), ordered by the archive's paper count. Page 1 of 1: 5 shown of 5. 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

Spatial Reasoning datasets 1–5 of 5

BLINK is a new benchmark for multimodal language models (LLMs) that focuses on core visual perception abilities not found in other evaluations¹².
58 papers · 1 benchmark
The MMVP (Multimodal Visual Patterns) Benchmark focuses on identifying "CLIP-blind pairs" – images that appear similar to the CLIP model despite having clear visual differences.
53 papers · 1 benchmark
EmbSpatial-Bench (EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models)
The recent rapid development of Large Vision-Language Models (LVLMs) has indicated their potential for embodied tasks.
6 papers · 1 benchmark
Our dataset consists of over 1000 fractured frescoes.
2 papers · 0 benchmarks
RealWorldQA is a benchmark designed to evaluate the real-world spatial understanding capabilities of multimodal AI models.
0 papers · 1 benchmark

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.