Update README.md

README.md

@@ -1,19 +1,4 @@
-# ArticuBot Dataset (WebDataset Format)
-
-## Dataset Statistics
-
-- **Total Samples**: 20,963
-- **Total Timesteps**: 2,299,385
-- **Categories**: ['Dishwasher', 'Microwave', 'Oven', 'Refrigerator', 'StorageFurniture', 'unknown']
-- **Splits**: ['train']
-
-## Split Statistics
-
-### train
-- **Samples**: 20,963
-- **Timesteps**: 2,299,385
-- **Categories**: 6
-- **Failed Samples**: 0
+# ArticuBot Simulated Dataset for Trajectories of Articulation (saved in WebDataset Format and splitter into train / val)
 
 ## Data Format
 
@@ -32,40 +17,15 @@ Each trajectory contains timesteps with the following data:
 - `displacement_gripper_to_object`: Spatial displacement vectors
 - `goal_gripper_pcd`: Goal gripper point cloud
 
-## Usage
-
-```python
-import webdataset as wds
-import pickle
-import json
-
-# Load training data
-dataset = wds.WebDataset("articubot_train_*.tar")
-dataset = dataset.decode()
-
-for sample in dataset:
-    # Load metadata
-    metadata = json.loads(sample["metadata.json"])
-    
-    # Load trajectory data
-    trajectory_data = pickle.loads(sample["trajectory.pkl"])
-    
-    # Process trajectory data
-    for timestep in trajectory_data:
-        state = timestep["state"]
-        action = timestep["action"]
-        # ... process other fields
-```
 
 ## Citation
 
-If you use this dataset in your research, please cite:
+If you use this dataset in your research, please cite original AricuBot paper:
 
 ```bibtex
-@dataset{articubot_dataset,
-  title={ArticuBot Dataset},
-  author={Your Name},
-  year={2024},
-  url={https://huggingface.co/datasets/LocalWorldModels/articubot_dataset}
-}
+@inproceedings{Wang2025articubot,
+      title={ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation},
+      author={Wang, Yufei and Wang, Ziyu and Nakura, Mino and Bhowal, Pratik and Kuo, Chia-Liang and Chen, Yi-Ting and Erickson, Zackory and Held, David},
+      booktitle={Robotics: Science and Systems (RSS)},
+      year={2025}}   
 ```