update readme.md

README.md

@@ -2,10 +2,11 @@
 license: apache-2.0
 tags:
 - robotics
+- smolvla
 - community
+- vlab
 - so100
 - manipulation
-- smolvla
 - lerobot
 - vision-language-action
 - embodied-ai
@@ -22,7 +23,7 @@ pretty_name: Community Dataset v1
 
 A large-scale community-contributed robotics dataset for vision-language-action learning, featuring **128 datasets** from **55 contributors** worldwide.
 
-We used this dataset to pretrain SmolVLA [insert link to the model]. However, this is not a complete set, but the dataset that we selected using specific filters, like fps, min num of episodes, and some qualitative assessment of video qualities, using the https://huggingface.co/spaces/Beegbrain/FilterLeRobotData tool. We also manually curated the task descriptions for this subset of the dataset. 
+We used this dataset to pretrain [SmolVLA](https://huggingface.co/lerobot/smolvla_base). However, this is not a complete set, but the dataset that we selected using specific filters, like fps, min num of episodes, and some qualitative assessment of video qualities, using the https://huggingface.co/spaces/Beegbrain/FilterLeRobotData tool. We also manually curated the task descriptions for this subset of the dataset. 
 
 ## 🌟 Overview
 
@@ -82,28 +83,7 @@ Each dataset follows the LeRobot format standard, ensuring compatibility with ex
 
 ## 🚀 Usage
 
-### Prerequisites
-
-**1. Install LeRobot**
-
-Follow the [official LeRobot installation guide](https://huggingface.co/docs/lerobot/installation):
-
-```bash
-# Create conda environment with Python 3.10
-conda create -y -n lerobot python=3.10
-conda activate lerobot
-
-# Install ffmpeg (required for video processing)
-conda install ffmpeg -c conda-forge
-
-git clone https://github.com/huggingface/lerobot.git
-cd lerobot
-
-# Install LeRobot from Source
-pip install -e .
-```
-
-**2. Authenticate with Hugging Face**
+**1. Authenticate with Hugging Face**
 
 You need to be logged in to access the dataset:
 
@@ -120,14 +100,9 @@ Get your token from [https://huggingface.co/settings/tokens](https://huggingface
 ### Download the Dataset
 
 ```python
-from huggingface_hub import snapshot_download
-
-# Download entire collection (requires authentication)
-dataset_path = snapshot_download(
-    repo_id="HuggingFaceVLA/community_dataset_v1",
-    repo_type="dataset",
-    local_dir="./community_dataset_v1"
-)
+hf download HuggingFaceVLA/community_dataset_v1 \
+       --repo-type=dataset \
+       --local-dir /path/local_dir/community_dataset_v1
 ```
 
 ### Load Individual Datasets
@@ -154,14 +129,30 @@ print(f"Episodes: {len(dataset.episode_indices)}")
 print(f"Total frames: {len(dataset)}")
 ```
 
-### Integration with SmolVLA
+### Integration with SmolVLA pretraining framework
+
+This dataset is designed for training VLA models
+You can download this dataset and use it for Vision Language Action Models training framework, [VLAb](https://github.com/huggingface/VLAb/tree/main):
+
+1. Visit the VLAb repository. 
+2. Follow the training instructions in the repo
+3. Point the training script to this dataset
 
 ```python
 
-COMING SOON
-# This dataset is designed for training VLA models
-# Compatible with SmolVLA training pipelines
-# needs testing
+accelerate launch --config_file accelerate_configs/multi_gpu.yaml \
+    src/lerobot/scripts/train.py \
+    --policy.type=smolvla2 \
+    --policy.repo_id=HuggingFaceTB/SmolVLM2-500M-Video-Instruct \
+    --dataset.repo_id="community_dataset_v1/AndrejOrsula/lerobot_double_ball_stacking_random,community_dataset_v1/aimihat/so100_tape" \
+    --dataset.root="local/path/to/datasets" \
+    --dataset.video_backend=pyav \
+    --dataset.features_version=2 \
+    --output_dir="./outputs/training" \
+    --batch_size=8 \
+    --steps=200000 \
+    --wandb.enable=true \
+    --wandb.project="smolvla2-training"
 
 ```
 
@@ -195,14 +186,6 @@ This dataset is designed for:
 - **Multi-task policy development**
 - **Embodied AI research**
 
-## 📈 Revisions
-
-- **v1.0**: Initial community collection
-  - 128 datasets from 55 contributors
-  - Standardized LeRobot format
-  - Quality filtering and validation
-  - Comprehensive metadata
-
 ## 🤝 Community Contributions
 
 This dataset exists thanks to the generous contributions from researchers, hobbyists, and institutions worldwide. Each dataset represents hours of careful data collection and curation.
@@ -217,13 +200,9 @@ Future contributions should follow:
 
 Check the [blogpost](https://huggingface.co/blog/lerobot-datasets) for more information 
 
-## 📄 License
-
-Released under Apache 2.0 license. Individual datasets may have additional attribution requirements - please check contributor documentation.
-
 ## 🔗 Related Work
 
-- [LeRobot Framework](https://github.com/huggingface/lerobot)
+- [VLAb Framework](https://github.com/huggingface/VLAb)
 - [SmolVLA model](https://huggingface.co/lerobot/smolvla_base)
 - [SmolVLA Blogpost](https://huggingface.co/blog/smolvla)
 - [SmolVLA Paper](https://huggingface.co/papers/2506.01844)