| --- |
| 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`](https://huggingface.co/allenai/Molmo2-ER-4B). Files mirror the upstream layout; nothing in the data has been modified. |
|
|
| ## Upstream source |
|
|
| - **Original dataset:** [ellisbrown/SIMS-VSI](https://huggingface.co/datasets/ellisbrown/SIMS-VSI) |
| - **Paper:** *SIMS-V: Simulated Instruction-Tuning for Spatial Video Understanding* ([arXiv:2511.04668](https://arxiv.org/abs/2511.04668)) |
| - **License:** `apache-2.0` (inherits from upstream) |
|
|
| If you use this data, please cite the original authors: |
|
|
| ```bibtex |
| @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: |
|
|
| ```bash |
| 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`](https://github.com/allenai/molmo2) repository for the data loader and training recipe. The relevant loader class for this dataset lives in `olmo/data/spatial_datasets.py`. |
|
|
