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remyxai/SpaceThinker

SpaceThinker Dataset Usage Try training a LLaVA-style VLM using the SpaceThinker Dataset Enhanced Quantitative Spatial Reasoning with Test-Time Compute The SpaceThinker dataset is created using VQASynth to synthesize spatial reasoning traces from a subset of images in the localized narratives split of the cauldron. Data Samples Prompt: How far is the man in the red hat from the pallet of boxes in feet? Prompt: How far… See the full description on the dataset page: https://huggingface.co/datasets/remyxai/SpaceThinker.

Author / organizationremyxai
License (as declared)apache-2.0
Downloads145 (as reported by Hugging Face)
Likes15
Created30 March 2025
Last updated at source23 April 2025
remyxSpatialReasoningspatial-reasoningtest-time-computethinkingreasoningmultimodalvlmvision-languagedistance-estimationquantitative-spatial-reasoning
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  • 17 Oct 2026 Description: SpaceThinker Dataset Usage Try training a LLaVA-style VLM using the SpaceThinker Dataset Enhanced Quantitative Spatial Reasoning with Test-Time Compute The SpaceThinker dataset is created using VQASynth to synthesize spatial reasoning trace → SpaceThinker Dataset Usage Try training a LLaVA-style VLM using the SpaceThinker Dataset Enhanced Quantitative Spatial Reasoning with Test-Time Compute The SpaceThinker dataset is created using VQASynth to synthesize spatial reasoning trace

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