Add task category and improve dataset documentation

README.md

@@ -1,19 +1,50 @@
 ---
-license: apache-2.0
 language:
 - en
-tags:
-- code
-pretty_name: st3d
+license: apache-2.0
 size_categories:
 - 10K<n<100K
+pretty_name: st3d
+task_categories:
+- text-to-image
+tags:
+- 3D-layout
+- controllable-generation
 configs:
 - config_name: default
   data_files:
   - split: train
-    path: "train.jsonl"
+    path: train.jsonl
 ---
 
+# SeeThrough3D Dataset
+
+[**Project Page**](https://seethrough3d.github.io/) | [**Paper**](https://huggingface.co/papers/2602.23359) | [**GitHub**](https://github.com/va1bhavagrawal/seethrough3d)
+
 This is the training dataset for the CVPR 2026 🎉 paper **SeeThrough3D: Occlusion Aware 3D-Control in Text-to-Image Generation**.
 
-The training code expects shuffled versions of the jsonls (`train_shuffled{0..3}.jsonl`). These files are only the shuffled versions of `train.jsonl` with no additional content.
+SeeThrough3D is a model for 3D layout-conditioned generation that explicitly models occlusions. This dataset consists of diverse multi-object scenes with strong inter-object occlusions, using an occlusion-aware 3D scene representation (OSCR) where objects are depicted as translucent 3D boxes.
+
+## Dataset Information
+
+The primary training data is contained in `train.jsonl`. 
+
+The training code expects shuffled versions of the jsonls (`train_shuffled{0..3}.jsonl`). These files are shuffled versions of `train.jsonl` with no additional content.
+
+For detailed instructions on environment setup and training, please refer to the [official GitHub repository](https://github.com/va1bhavagrawal/seethrough3d).
+
+## Citation
+
+If you find this work or dataset useful, please cite:
+
+```bibtex
+@misc{agrawal2026seethrough3docclusionaware3d,
+      title={SeeThrough3D: Occlusion Aware 3D Control in Text-to-Image Generation}, 
+      author={Vaibhav Agrawal and Rishubh Parihar and Pradhaan Bhat and Ravi Kiran Sarvadevabhatla and R. Venkatesh Babu},
+      year={2026},
+      eprint={2602.23359},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2602.23359}, 
+}
+```