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ellisbrown/SIMS-VSI

SIMS-VSI Authors: Ellis Brown, Arijit Ray, Ranjay Krishna, Ross Girshick, Rob Fergus, Saining Xie SIMS-VSI is a large-scale synthetic training dataset for spatial video understanding, comprising 203,048 question-answer pairs across 2,507 video trajectories through 1,261 procedurally generated indoor scenes. This dataset is introduced in our paper: SIMS-V: Simulated Instruction-Tuning for Spatial Video Understanding. Overview Dataset… See the full description on the dataset page: https://huggingface.co/datasets/ellisbrown/SIMS-VSI.

Author / organizationellisbrown
License (as declared)apache-2.0
Downloads806 (as reported by Hugging Face)
Likes7
Created28 October 2025
Last updated at source7 November 2025
VideoTextegocentricspatial-reasoningtraining-datasimulationsynthetic-data
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