Dataset · Hugging Face

allenai/Molmo2-ER-SAT

Name: Molmo2-ER-SAT
Creator: allenai
License: mit
Keywords: language:en, license:mit, size_categories:100K<n<1M, format:parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2412.07755, region:us, embodied-reasoning, molmo2, molmo2-er, vlm-training-data

Molmo2-ER · array/SAT Spatial Aptitude Training: 175K binary-MCQ VQA pairs over ProcTHOR indoor scenes. This is a re-hosted, loader-ready subset of the upstream dataset, used to train allenai/Molmo2-ER-4B. Files mirror the upstream layout; nothing in the data has been modified. Upstream source Original dataset: array/SAT Paper: SAT: Dynamic Spatial Aptitude Training for Multimodal Language Models (arXiv:2412.07755) License: mit (inherits from upstream) If you… See the full description on the dataset page: https://huggingface.co/datasets/allenai/Molmo2-ER-SAT.

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Author / organization	allenai
License (as declared)	mit
Downloads	161 (as reported by Hugging Face)
Likes	1
Created	5 May 2026
Last updated at source	5 May 2026

embodied-reasoningmolmo2molmo2-ervlm-training-data

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16 Oct 2026 Description: Molmo2-ER · array/SAT Spatial Aptitude Training: 175K binary-MCQ VQA pairs over ProcTHOR indoor scenes. This is a re-hosted, loader-ready subset of the upstream dataset, used to train allenai/Molmo2-ER-4B. Files mirror the upstream layout; → Molmo2-ER · array/SAT Spatial Aptitude Training: 175K binary-MCQ VQA pairs over ProcTHOR indoor scenes. This is a re-hosted, loader-ready subset of the upstream dataset, used to train allenai/Molmo2-ER-4B. Files mirror the upstream layout;

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