metadata
license: apache-2.0
language:
- en
pretty_name: Molmo2-ER SIMS-VSI
tags:
- embodied-reasoning
- molmo2
- molmo2-er
- vlm-training-data
Molmo2-ER · ellisbrown/SIMS-VSI
203K simulated video spatial QA pairs from AI2-THOR/ProcTHOR agent trajectories.
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: ellisbrown/SIMS-VSI
- Paper: SIMS-V: Simulated Instruction-Tuning for Spatial Video Understanding (arXiv:2511.04668)
- License:
apache-2.0(inherits from upstream)
If you use this data, please cite the original authors:
@misc{brown2025simsvsimulatedinstructiontuningspatial,
title={SIMS-V: Simulated Instruction-Tuning for Spatial Video Understanding},
author={Ellis Brown and Arijit Ray and Ranjay Krishna and others},
year={2025},
eprint={2511.04668},
archivePrefix={arXiv}
}
Extracting before training
This release ships archives. Extract them in-place before pointing SPATIAL_DATA_HOME at this directory:
zstd -d annos_shard_000.tar.zst && tar -xf annos_shard_000.tar
for f in video_shard_*.tar.zst; do zstd -d $f -o ${f%.zst}; done
for f in video_shard_*.tar; do tar -xf $f; done
# Loader expects ./data/<shards>/...
Usage in Molmo2-ER
See the allenai/molmo2 repository for the data loader and training recipe. The relevant loader class for this dataset lives in olmo/data/spatial_datasets.py.