Update README.md

README.md

@@ -46,7 +46,7 @@ The dataset spans **46+ robot embodiments** including single-arm, bimanual, mobi
 | **Action Dimensions** | 12 different configurations |
 | **Average Hours/Dataset** | 0.30 |
 
-## 🤖 Robot Distribution
+## 🤖 Robot Type Distribution
 
 ### By Category
 - **Single-arm manipulators**: 72% (571 datasets)
@@ -70,16 +70,7 @@ The dataset spans **46+ robot embodiments** including single-arm, bimanual, mobi
 | **so100_bimanual** | 12 | 1.5% | Bimanual |
 | **koch_follower** | 8 | 1.0% | Single-arm |
 
-## 🎮 Action Space Distribution
-
-| Action Shape | Datasets | % | Description |
-|--------------|----------|---|-------------|
-| **(6,)** | 607 | 76.7% | Single-arm + gripper (standard) |
-| **(14,)** | 60 | 7.6% | Bimanual robots |
-| **(7,)** | 58 | 7.3% | Single-arm extended DoF |
-| **(16,)** | 26 | 3.3% | Complex bimanual |
-| **(12,)** | 19 | 2.4% | Bimanual + grippers |
-| Others (7 shapes) | 21 | 2.7% | Specialized configs |
+![Screenshot 2025-12-09 at 17.50.51](https://cdn-uploads.huggingface.co/production/uploads/640e21ef3c82bd463ee5a76d/uVr2KrVm2crT7evSFCaEA.png)
 
 ## 🗂️ Dataset Structure
 
@@ -103,32 +94,26 @@ community_dataset_v3_clean/
 
 ## 🚀 Usage
 
-### Prerequisites
+**1. Authenticate with Hugging Face**
 
-Install LeRobot and authenticate:
+You need to be logged in to access the dataset:
 
 ```bash
-# Create conda environment
-conda create -y -n lerobot python=3.10
-conda activate lerobot
-
-# Install ffmpeg and LeRobot
-conda install ffmpeg -c conda-forge
-git clone https://github.com/huggingface/lerobot.git
-cd lerobot
-pip install -e .
-
-# Authenticate with Hugging Face
+# Login to Hugging Face
 huggingface-cli login
-# Get your token from https://huggingface.co/settings/tokens
+
+# Or alternatively, set your token as an environment variable
+# export HF_TOKEN=your_token_here
 ```
 
+Get your token from [https://huggingface.co/settings/tokens](https://huggingface.co/settings/tokens)
+
 ### Download the Dataset
 
-```bash
-huggingface-cli download HuggingFaceVLA/community_dataset_v3_clean \
-    --repo-type=dataset \
-    --local-dir ./community_dataset_v3_clean
+```python
+hf download HuggingFaceVLA/community_dataset_v1 \
+       --repo-type=dataset \
+       --local-dir /path/local_dir/community_dataset_v1
 ```
 
 ### Load Individual Datasets