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# LookBench HuggingFace Release Guide
This guide explains how to prepare and upload the LookBench dataset to Hugging Face.
## Directory Structure
```
huggingface_release/
├── README.md # Dataset card (displayed on HF)
├── LookBench.py # Custom dataset loading script
├── prepare_release.py # Convert parquet to HF format
├── upload_to_hf.py # Upload to HuggingFace Hub
├── create_sample_images.py # Generate preview images
├── assets/ # Images for dataset card
│ ├── lookbench_banner.png
│ ├── evaluation_dimensions.png
│ └── samples_*.png
└── v20251201/ # Versioned data
├── aigen_streetlook/
│ ├── query.parquet
│ └── gallery.parquet
├── aigen_studio/
│ ├── query.parquet
│ └── gallery.parquet
├── real_streetlook/
│ ├── query.parquet
│ └── gallery.parquet
├── real_studio_flat/
│ ├── query.parquet
│ └── gallery.parquet
├── noise/
│ └── noise_*.parquet
└── version_info.json
```
## Release Steps
### Step 1: Prepare the Data
```bash
cd huggingface_release
# Convert existing parquet files to HF format
python prepare_release.py \
--input_dir ../scripts/data/parquet_files_v5 \
--output_dir v20251201 \
--version v20251201
```
### Step 2: Create Assets
```bash
# Generate banner and sample images
python create_sample_images.py \
--input_dir ../scripts/data/parquet_files_v5 \
--output_dir assets
```
### Step 3: Upload to HuggingFace
```bash
# Set your HuggingFace token
export HF_TOKEN="your_token_here"
# Upload using folder method (preserves structure)
python upload_to_hf.py \
--repo_id your-org/LookBench \
--data_dir v20251201 \
--method api
# Or upload using datasets library (creates proper configs)
python upload_to_hf.py \
--repo_id your-org/LookBench \
--data_dir v20251201 \
--method datasets
```
## Versioning Strategy
LookBench uses date-based versioning: `vYYYYMMDD`
| Version | Date | Changes |
|---------|------|---------|
| v20251201 | Dec 2024 | Initial release |
| v20250301 | Mar 2025 | (future) Updated gallery |
To add a new version:
1. Create a new versioned directory (e.g., `v20250301/`)
2. Update `README.md` with new version info
3. Add new config entries in the YAML frontmatter
4. Keep old versions for reproducibility
## Dataset Card (README.md)
The README.md serves as the dataset card displayed on HuggingFace. Key sections:
1. **YAML Frontmatter**: Metadata, configs, features
2. **Overview**: Description and key features
3. **Dataset Structure**: File organization
4. **Data Schema**: Column descriptions
5. **Statistics**: Sample counts and distributions
6. **Evaluation Metrics**: How to evaluate
7. **Leaderboard**: Model rankings
8. **Citation**: BibTeX entry
## Image Display on HuggingFace
For images to display in the HuggingFace viewer:
1. **Parquet format**: Store images as `{'bytes': image_bytes, 'path': None}`
2. **Features definition**: Use `Image()` type in the schema
3. **Dataset card images**: Reference with ``
### Parquet Image Format
```python
# Correct format for HF image display
record = {
'image': {'bytes': image_bytes, 'path': None},
'category': 'bag',
...
}
```
### Dataset Card Images
```markdown
<!-- In README.md -->


```
## Loading the Dataset
After upload, users can load the dataset:
```python
from datasets import load_dataset
# Load a specific task
ds = load_dataset("your-org/LookBench", "aigen_streetlook")
# Access splits
query = ds["query"]
gallery = ds["gallery"]
# View sample
print(query[0])
query[0]["image"] # Returns PIL Image
```
## Updating the Leaderboard
To update the leaderboard:
1. Run evaluation on your model
2. Submit results via GitHub issue or PR
3. Update the leaderboard table in README.md
## Troubleshooting
### Images not displaying
- Ensure images are in `{'bytes': ..., 'path': ...}` format
- Check that Features specifies `Image()` type
- Verify parquet was saved with correct schema
### Upload fails
- Check HF_TOKEN is valid and has write access
- Ensure repo exists and you have permissions
- Try uploading in smaller batches
### Dataset won't load
- Verify parquet files are valid: `pd.read_parquet(file)`
- Check config names match directory structure
- Ensure all required columns are present
## Contact
For issues or questions:
- GitHub: https://github.com/your-org/look-bench
- HuggingFace: https://huggingface.co/datasets/your-org/LookBench
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