placeholder README

README.md

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+---
+license: apache-2.0
+language:
+- en
+pretty_name: Molmo2-ER RefSpatial
+tags:
+- embodied-reasoning
+- molmo2
+- molmo2-er
+- vlm-training-data
+---
+
+# Molmo2-ER · JingkunAn/RefSpatial
+
+2.5M spatial-referring corpus (web + indoor + simulated) covering 31 spatial relations.
+
+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:** [JingkunAn/RefSpatial](https://huggingface.co/datasets/JingkunAn/RefSpatial)
+- **Paper:** *RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics* ([arXiv:2506.04308](https://arxiv.org/abs/2506.04308))
+- **License:** `apache-2.0` (inherits from upstream)
+
+If you use this data, please cite the original authors:
+
+```bibtex
+@misc{zhou2026roboreferspatialreferringreasoning,
+  title={RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics},
+  author={Enshen Zhou and Jingkun An and Cheng Chi and others},
+  year={2026},
+  eprint={2506.04308},
+  archivePrefix={arXiv}
+}
+```
+
+## Extracting before training
+
+This release ships archives. Extract them in-place before pointing `SPATIAL_DATA_HOME` at this directory:
+
+```bash
+cd 2D/; for f in *.tar; do tar -xf $f; done; cd ../3D/; for f in *.tar; do tar -xf $f; done
+```
+
+## 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`.