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Challenge 2026 Dataset
This dataset provides training/evaluation data for the 2026 Global Humanoid Robot Challenge Simulation Competition.
Data Format: LeRobot v2.1
Directory Structure
Packing_box/box_closing_001/ - Carton Packing (Dual-arm Coordination)
Dataset Overview
- Carton Packing (Dual-arm Coordination)
box_closing_001: 50 episodes
Data Format
Each dataset contains multiple episodes stored in Parquet format:
{dataset_name}/data/chunk-000/episode_XXXXXX.parquet
- Dataset ID format:
{action}_{number}(e.g.,box_closing_001) - Episode filename:
episode_{6-digit number}.parquet(zero-padded)
Field definitions can be found in the main project at lerobot/common/policies/utils.py under observation/action definitions.
Hugging Face Upload/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
# Upload
hf upload UBTECH-Robotics/challenge2026_dataset .
# Download
hf download UBTECH-Robotics/challenge2026_dataset
Method 2: Python
from huggingface_hub import login, upload_folder, snapshot_download
# Login
login()
# Upload
upload_folder(
folder_path=".",
repo_id="UBTECH-Robotics/challenge2026_dataset",
repo_type="dataset"
)
# 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
cd challenge2026_dataset
# Push
git push
# Or use SSH
git clone git@hf.co:UBTECH-Robotics/challenge2026_dataset
Dataset Naming Convention
| Level | Format | Example |
|---|---|---|
| Task | / | Packing_box |
| Dataset Directory | {action}_{number} |
box_closing_001/, box_closing_002/ |
| Episode File | episode_{6-digit number}.parquet |
episode_000000.parquet |
When adding new datasets, increment the number sequentially (e.g., _001, _002, _003).
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