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@@ -3,6 +3,7 @@ license: apache-2.0
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  tags:
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  - robotics
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  - community
 
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  - so100
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  - manipulation
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  - smolvla
@@ -22,7 +23,7 @@ pretty_name: Community Dataset v2
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  A large-scale community-contributed robotics dataset for vision-language-action learning, featuring **340 datasets** from **117 contributors** worldwide.
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- This dataset represents the second major release of community-contributed robotics data, expanding upon the success of Community Dataset v1. The data was collected and processed using the [LeRobot](https://github.com/huggingface/lerobot) framework with automated processing and validation pipelines to ensure high quality and compatibility.
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  ## 🌟 Overview
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@@ -82,28 +83,7 @@ Each dataset follows the LeRobot format standard, ensuring compatibility with ex
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  ## πŸš€ Usage
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- ### Prerequisites
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-
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- **1. Install LeRobot**
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-
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- Follow the [official LeRobot installation guide](https://huggingface.co/docs/lerobot/installation):
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-
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- ```bash
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- # Create conda environment with Python 3.10
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- conda create -y -n lerobot python=3.10
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- conda activate lerobot
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-
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- # Install ffmpeg (required for video processing)
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- conda install ffmpeg -c conda-forge
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-
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- git clone https://github.com/huggingface/lerobot.git
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- cd lerobot
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-
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- # Install LeRobot from Source
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- pip install -e .
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- ```
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-
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- **2. Authenticate with Hugging Face**
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  You need to be logged in to access the dataset:
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@@ -120,14 +100,9 @@ Get your token from [https://huggingface.co/settings/tokens](https://huggingface
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  ### Download the Dataset
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  ```python
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- from huggingface_hub import snapshot_download
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-
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- # Download entire collection (requires authentication)
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- dataset_path = snapshot_download(
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- repo_id="HuggingFaceVLA/community_dataset_v2",
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- repo_type="dataset",
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- local_dir="./community_dataset_v2"
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- )
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  ```
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  ### Load Individual Datasets
@@ -137,8 +112,8 @@ from lerobot.datasets.lerobot_dataset import LeRobotDataset
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  import os
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  # Browse available datasets
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- for contributor in os.listdir("./community_dataset_v2"):
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- contributor_path = f"./community_dataset_v2/{contributor}"
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  if os.path.isdir(contributor_path):
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  for dataset in os.listdir(contributor_path):
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  print(f"πŸ“ {contributor}/{dataset}")
@@ -146,7 +121,7 @@ for contributor in os.listdir("./community_dataset_v2"):
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  # Load a specific dataset (requires authentication)
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  dataset = LeRobotDataset(
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  repo_id="local",
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- root="./community_dataset_v2/contributor_name/dataset_name"
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  )
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  # Access episodes and observations
@@ -154,17 +129,6 @@ print(f"Episodes: {len(dataset.episode_indices)}")
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  print(f"Total frames: {len(dataset)}")
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  ```
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- ### Integration with SmolVLA
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-
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- ```python
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-
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- COMING SOON
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- # This dataset is designed for training VLA models
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- # Compatible with SmolVLA training pipelines
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- # needs testing
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-
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- ```
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-
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  ## πŸ”§ Dataset Format
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  Each dataset contains:
@@ -195,14 +159,6 @@ This dataset is designed for:
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  - **Multi-task policy development**
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  - **Embodied AI research**
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- ## πŸ“ˆ Revisions
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-
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- - **v2.0**: Expanded community collection
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- - 340 datasets from 117 contributors
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- - Standardized LeRobot v2.0/v2.1 format
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- - Advanced quality filtering and validation
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- - Comprehensive automated processing pipeline
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-
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  ## 🀝 Community Contributions
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  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 +173,9 @@ Future contributions should follow:
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  Check the [blogpost](https://huggingface.co/blog/lerobot-datasets) for more information
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- ## πŸ“„ License
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-
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- Released under Apache 2.0 license. Individual datasets may have additional attribution requirements - please check contributor documentation.
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-
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  ## πŸ”— Related Work
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- - [LeRobot Framework](https://github.com/huggingface/lerobot)
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  - [SmolVLA model](https://huggingface.co/lerobot/smolvla_base)
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  - [SmolVLA Blogpost](https://huggingface.co/blog/smolvla)
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  - [SmolVLA Paper](https://huggingface.co/papers/2506.01844)
 
3
  tags:
4
  - robotics
5
  - community
6
+ - vlab
7
  - so100
8
  - manipulation
9
  - smolvla
 
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24
  A large-scale community-contributed robotics dataset for vision-language-action learning, featuring **340 datasets** from **117 contributors** worldwide.
25
 
26
+ This dataset represents the second major release of community-contributed robotics data, expanding upon the [Community Dataset v1](https://huggingface.co/datasets/HuggingFaceVLA/community_dataset_v1).
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  ## 🌟 Overview
29
 
 
83
 
84
  ## πŸš€ Usage
85
 
86
+ **1. Authenticate with Hugging Face**
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
87
 
88
  You need to be logged in to access the dataset:
89
 
 
100
  ### Download the Dataset
101
 
102
  ```python
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+ hf download HuggingFaceVLA/community_dataset_v1 \
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+ --repo-type=dataset \
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+ --local-dir /path/local_dir/community_dataset_v1
 
 
 
 
 
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  ```
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  ### Load Individual Datasets
 
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  import os
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  # Browse available datasets
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+ for contributor in os.listdir("./community_dataset_v1"):
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+ contributor_path = f"./community_dataset_v1/{contributor}"
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  if os.path.isdir(contributor_path):
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  for dataset in os.listdir(contributor_path):
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  print(f"πŸ“ {contributor}/{dataset}")
 
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  # Load a specific dataset (requires authentication)
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  dataset = LeRobotDataset(
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  repo_id="local",
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+ root="./community_dataset_v1/contributor_name/dataset_name"
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  )
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  # Access episodes and observations
 
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  print(f"Total frames: {len(dataset)}")
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  ```
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  ## πŸ”§ Dataset Format
133
 
134
  Each dataset contains:
 
159
  - **Multi-task policy development**
160
  - **Embodied AI research**
161
 
 
 
 
 
 
 
 
 
162
  ## 🀝 Community Contributions
163
 
164
  This dataset exists thanks to the generous contributions from researchers, hobbyists, and institutions worldwide. Each dataset represents hours of careful data collection and curation.
 
173
 
174
  Check the [blogpost](https://huggingface.co/blog/lerobot-datasets) for more information
175
 
 
 
 
 
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  ## πŸ”— Related Work
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+ - [VLAb Framework](https://github.com/huggingface/VLAb)
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  - [SmolVLA model](https://huggingface.co/lerobot/smolvla_base)
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  - [SmolVLA Blogpost](https://huggingface.co/blog/smolvla)
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  - [SmolVLA Paper](https://huggingface.co/papers/2506.01844)