UBTECH-Robotics/challenge2026_dataset
Challenge 2026 Dataset This dataset provides training/evaluation data for the 2026 Global Humanoid Robot Challenge Simulation Competition. Data Format: LeRobot v3.0 Directory Structure Part_Sorting/ - Desktop Fine-Grained Part Sorting ├── data/ ├── meta/ ├── videos/ Packing_Box/ - Carton Sealing and Packing ├── data/ ├── meta/ ├── videos/ Foam_Inlaying/ - Precise Part Assembly ├── data/ ├──… See the full description on the dataset page: https://huggingface.co/datasets/UBTECH-Robotics/challenge2026_dataset.
Challenge 2026 Dataset
This dataset provides training/evaluation data for the 2026 Global Humanoid Robot Challenge Simulation Competition.
Data Format: LeRobot v3.0
Directory Structure
Part_Sorting/ - Desktop Fine-Grained Part Sorting
├── data/
├── meta/
├── videos/
Packing_Box/ - Carton Sealing and Packing
├── data/
├── meta/
├── videos/
Foam_Inlaying/ - Precise Part Assembly
├── data/
├── meta/
├── videos/
Conveyor_Sorting/ - Conveyor Sorting
├── data/
├── meta/
├── videos/Dataset Overview
- Desktop Fine-Grained Part Sorting
Part_Sorting: 3000 episodes
- Carton Sealing and Packing
Packing_Box: 1367 episodes
- Foam Inlaying
Foam_Inlaying: 539 episodes
- Covert Sorting
Conveyor_Sorting: 1064 episodes
Data Format
Each dataset contains multiple episodes stored in Parquet format:
LeRobot v3.0 (e.g., part_sorting_long_756_episode, Packing_Box, Foam_Inlaying, Conveyor_Sorting):
{dataset_name}/data/chunk-000/file-XXX.parquet- Data filename:
file-{file_index}.parquet
- Dataset ID format:
{action}_{description}(e.g.,part_sorting_long_756_episode)
Field definitions can be found in the main project at lerobot/common/policies/utils.py under observation/action definitions.
Hugging Face Download
Method 1: Hugging Face CLI
# Install HF CLI
powershell -ExecutionPolicy ByPass -c "irm https://hf.co/cli/install.ps1 | iex"
# Login
hf auth login
# Download
hf download UBTECH-Robotics/challenge2026_datasetMethod 2: Python
from huggingface_hub import login, snapshot_download
# Login
login()
# Download
snapshot_download(
repo_id="UBTECH-Robotics/challenge2026_dataset",
repo_type="dataset"
)Method 3: Git + Git-XET
# Install git-xet
git xet install
# Clone (HTTPS)
git clone https://huggingface.co/UBTECH-Robotics/challenge2026_dataset
# Or use SSH
git clone git@hf.co:UBTECH-Robotics/challenge2026_dataset