Molmo2-ER-SenseNova-SI

# Molmo2-ER · sensenova/SenseNova-SI-800K 832K multi-image spatial-intelligence conversations grounded in 3D scene annotations. 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:** [sensenova/SenseNova-SI-800K](https://huggingface.co/datasets/sensenova/SenseNova-SI-800K) - **Paper:** *Scaling Spatial Intelligence with Multimodal Foundation Models* ([arXiv:2511.13719](https://arxiv.org/abs/2511.13719)) - **License:** `apache-2.0` (inherits from upstream) If you use this data, please cite the original authors: ```bibtex @misc{cai2026scalingspatialintelligencemultimodal, title={Scaling Spatial Intelligence with Multimodal Foundation Models}, author={Zhongang Cai and Ruisi Wang and others}, year={2026}, eprint={2511.13719}, archivePrefix={arXiv} } ``` ## Extracting before training This release ships archives. Extract them in-place before pointing `SPATIAL_DATA_HOME` at this directory: ```bash cat images.zip.* > images.zip && unzip images.zip ``` ## 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`.