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01tanhuajie2001 /spatial-visual-reasoning-66kimage10K<n<100K2 likes445 downloads2y agoHugging Face02ReasonCore /open-spatial-reasoning Open Spatial Reasoning A multiple-choice dataset of spatial reasoning questions and answers for evaluating 3D spatial reasoning from single driving images. Each image contains numbered bounding boxes referencing objects in the scene, and each question probes a model's ability to reconstruct the real 3D scene rather than rely on flat-image shortcuts (e.g. "lower in the frame = closer", "bigger box = nearer"). Dataset Description Frontier vision-language models… See the full description on the dataset page: https://huggingface.co/datasets/ReasonCore/open-spatial-reasoning.imagemultiple-choicen<1K65 likes260 downloads4mo agoHugging Face03Kun-Xiang /ViRL39K-Spatial_Reasoningimage1K<n<10K0 likes179 downloads1y agoHugging Face04eousphoros /2d_3d_seq_path_spatial_reasoning Spatial Reasoning Dataset A synthetic dataset of Hamiltonian path puzzles with rich chain-of-thought reasoning, designed for training and evaluating spatial reasoning in language models. Overview Each sample presents a grid-based puzzle where the solver must find a path visiting every cell exactly once, moving only up/down/left/right (plus above/below for 3D). Puzzles span 2D grids (3x3 to 8x8) and 3D cubes (3x3x3 to 4x4x4), covering solvable, impossible, and multi-turn… See the full description on the dataset page: https://huggingface.co/datasets/eousphoros/2d_3d_seq_path_spatial_reasoning.tabularquestion-answering1K<n<10K0 likes176 downloads8mo agoHugging Face05tianleliphoebe /geometric_spatial_compose_reasoningimage1K<n<10K0 likes148 downloads1y agoHugging Face06TrickyFactCheck /Object-Centric-Spatial-Relation-Reasoningimagen<1K0 likes103 downloads3mo agoHugging Face07Vidushee /reasoning_spatialtext1K<n<10K0 likes60 downloads2y agoHugging Face08safaeid48 /qwen-spatial-reasoning-incorrect-examples Incorrect spatial reasoning examples for Qwen/Qwen3.5-0.8B-Base Overview This dataset contains incorrect non-empty predictions made by Qwen/Qwen3.5-0.8B-Base on a synthetic spatial reasoning benchmark built from 4x4 object-grid images. I evaluated the model on 84 questions. It answered 54 of them incorrectly and achieved an overall accuracy of 35.714%. Some incorrect rows had an empty parsed pred_final, which I treat as formatting failures rather than useful supervised… See the full description on the dataset page: https://huggingface.co/datasets/safaeid48/qwen-spatial-reasoning-incorrect-examples.imagevisual-question-answeringn<1K0 likes57 downloads7mo agoHugging Face

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