Add paper link, project page, and sample usage

README.md

@@ -1,4 +1,9 @@
 ---
+license: cc-by-4.0
+task_categories:
+- other
+size_categories:
+- n<1K
 dataset_info:
   features:
   - name: category
@@ -42,14 +47,27 @@ configs:
   data_files:
   - split: all
     path: data/all-*
-license: cc-by-4.0
-size_categories:
-- n<1K
 ---
 
 # LychSim Objects Dataset
 
-See [homepage](https://lychsim.github.io/).
+This dataset provides annotations for 3D assets used in **LychSim**, a controllable and interactive simulation framework for vision research. 
+
+For each 3D asset that appears in LychSim scenes, we annotate its semantic category, canonical scale, and pose alignment (the calibration yaw that puts the asset's "front" along +X), together with a precomputed `mesh_offset` so that spawning at `location + mesh_offset` lands the visual bounding box bottom-center exactly on the target location. These annotations are critical for producing semantically aligned ground-truth 3D object poses and for programmatic object placement and scene manipulation.
+
+- **Paper:** [LychSim: A Controllable and Interactive Simulation Framework for Vision Research](https://huggingface.co/papers/2605.12449)
+- **Project Page:** [https://lychsim.github.io/](https://lychsim.github.io/)
+- **Repository:** [https://github.com/wufeim/LychSim](https://github.com/wufeim/LychSim)
+
+## Sample Usage
+
+You can load this dataset using the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+objects = load_dataset("wufeim/lychsim_objects")
+```
 
 ## License