# Challenge 2026 Dataset

This dataset provides training/evaluation data for the 2026 Global Humanoid Robot Challenge Simulation Competition.

**Data Format**: LeRobot v2.1 / LeRobot v3.0

## Directory Structure

```
Part_Sorting/                        - Desktop Fine-Grained Part Sorting
├── part_sorting_long_756_episode/
├── part_sorting_short_1000_episode/

Packing_box/box_closing_001/         - Carton Sealing and Packing
├── box_closing_001/
```

## Dataset Overview

- **Desktop Fine-Grained Part Sorting**
  - `part_sorting_long_756_episode`: long sequence, 756 episodes
  - `part_sorting_short_1000_episode`: short sequence, 1000 episodes

- **Carton Sealing and Packing**
  - `box_closing_001`: 50 episodes

## Data Format

Each dataset contains multiple episodes stored in Parquet format:

**LeRobot v2.1** (e.g., `box_closing_001`):
```
{dataset_name}/data/chunk-000/episode_XXXXXX.parquet
```
- Episode filename: `episode_{6-digit number}.parquet` (zero-padded)

**LeRobot v3.0** (e.g., `part_sorting_long_756_episode`):
```
{dataset_name}/data/chunk-000/file-XXX.parquet
```
- Data filename: `file-{file_index}.parquet`

- Dataset ID format: `{action}_{description}` (e.g., `box_closing_001`, `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 Upload/Download

### Method 1: Hugging Face CLI

```bash
# 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

```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

```bash
# 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`).