Restore full README and minimally add bald_render fields

README.md

@@ -65,10 +65,17 @@ task_categories:
 tags:
   - hair
   - bald
+  - bald-converter
+  - hair-transfer
+  - hairport
+  - siggraph-2026
   - paired-data
+  - paired-image-to-image
   - synthetic
+  - synthetic-data
   - blender
   - controlnet
+  - sdxl
   - flux
   - smplx
   - 3d-rendering
@@ -79,43 +86,234 @@ size_categories:
 
 # Baldy Dataset
 
-A paired synthetic dataset for bald reconstruction and hairstyle transfer tasks.
-
-The training split contains 6402 samples across front, back, and side views.
-Each row includes aligned photorealistic images, Blender renders, and camera/material metadata.
-
-## Columns
-
-- hairstyle_id
-- view
-- source
-- hairstyle_source_id
-- hair_image
-- bald_image
-- hair_render
-- bald_render
-- background_image
-- render_params_json
-- background_prompt
-- camera_focal_length
-- camera_location_x
-- camera_location_y
-- camera_location_z
-- camera_rotation_x
-- camera_rotation_y
-- camera_rotation_z
-- lighting_preset
-- body_gender
-- face_expression
-- hair_melanin
-- hair_roughness
-- has_garments
-- views_available
-
-## Usage
+[![Project Page](https://img.shields.io/badge/Project%20Page-HairPort-2ea44f)](https://deepmancer.github.io/HairPort/)
+[![Code](https://img.shields.io/badge/Code-GitHub-181717)](https://github.com/deepmancer/HairPort)
+[![Weights](https://img.shields.io/badge/Weights-Bald%20Converter-ffcc4d)](https://huggingface.co/deepmancer/bald_konverter)
+[![License](https://img.shields.io/badge/License-CC%20BY%204.0-blue)](https://creativecommons.org/licenses/by/4.0/)
 
+**Baldy** is a synthetic paired image dataset for bald conversion, hairstyle-transfer preprocessing, and 3D-aware hair research. It contains **6,400 identity-consistent hair/bald image pairs** with auxiliary hair renders, background images, camera parameters, and rendering metadata.
+
+Baldy is released with **HairPort: In-context 3D-Aware Hair Import and Transfer for Images**, accepted to **ACM SIGGRAPH 2026**.
+
+## Overview
+
+Each Baldy sample provides a photorealistic image of a person with hair and a corresponding bald version of the same subject. The paired structure is designed to support training and evaluation of bald-conversion models, including the **Bald Converter** used by HairPort.
+
+The dataset also includes intermediate rendering assets and metadata, making it useful for controlled experiments that require camera/view information, hairstyle provenance, or synthetic render supervision.
+
+## What's Included
+
+| Component | Description |
+|---|---|
+| `hair_image` | Photorealistic image of the subject with hair |
+| `bald_image` | Photorealistic bald version of the same subject |
+| `hair_render` | Blender-rendered hairstyle on a transparent background |
+| `bald_render` | Blender-rendered bald hairline layer on a transparent background |
+| `background_image` | Generated or rendered scene background |
+| Camera metadata | Focal length, location, and rotation in Blender coordinates |
+| Appearance metadata | Hair material values, lighting preset, expression, body metadata |
+| Source metadata | Hairstyle source dataset and source-specific hairstyle ID |
+
+## Dataset Construction
+
+Baldy was generated with a multi-stage synthetic data pipeline:
+
+1. **3D hairstyle preparation.** Hairstyles from DiffLocks, Hair20K, USC-HairSalon, and CT2Hair are aligned to SMPL-X head/body configurations with pose, expression, and garment variation.
+2. **Blender rendering.** Hair, body, camera, lighting, and material parameters are rendered at **1024 x 1024** resolution.
+3. **Photorealistic paired generation.** ControlNet++ and SDXL-based generation, followed by FLUX Kontext refinement, are used to produce identity-consistent hair/bald image pairs.
+
+## Dataset Statistics
+
+| Split | Samples |
+|---|---:|
+| `train` | 6,400 |
+
+### View Distribution
+
+| View | Samples |
+|---|---:|
+| `front` | 6,009 |
+| `side` | 292 |
+| `back` | 99 |
+
+The current release is front-view dominant. Users training view-balanced models may want to account for this distribution during sampling or evaluation.
+
+### Hairstyle Source Distribution
+
+| Source | Samples |
+|---|---:|
+| `difflocks` | 3,197 |
+| `hair20k` | 2,824 |
+| `usc` | 370 |
+| `ct2hair` | 9 |
+
+## Data Fields
+
+### Identity, View, And Source
+
+| Field | Type | Description |
+|---|---|---|
+| `hairstyle_id` | `string` | Unique zero-padded sequential ID, such as `"000042"` |
+| `view` | `string` | Camera view: `"front"`, `"side"`, or `"back"` |
+| `source` | `string` | Hairstyle source: `"difflocks"`, `"hair20k"`, `"usc"`, or `"ct2hair"` |
+| `hairstyle_source_id` | `string` | Source-specific hairstyle identifier |
+| `views_available` | `string` | Pipe-separated list of views available for the hairstyle, such as `"front|back|side"` |
+
+### Image Columns
+
+| Field | Type | Description |
+|---|---|---|
+| `hair_image` | `Image` | Photorealistic image of the subject with hair, decoded as a PIL image |
+| `bald_image` | `Image` | Photorealistic bald image of the same subject, decoded as a PIL image |
+| `hair_render` | `Image` | Blender-rendered hair layer, decoded as a PIL image |
+| `bald_render` | `Image` | Blender-rendered bald hairline layer, decoded as a PIL image |
+| `background_image` | `Image` | Background image, decoded as a PIL image |
+
+### Camera And Rendering Metadata
+
+| Field | Type | Description |
+|---|---|---|
+| `render_params_json` | `string` | Full Blender render parameters as an embedded JSON string |
+| `background_prompt` | `string` | Text prompt used to generate the background, empty when unavailable |
+| `camera_focal_length` | `float64` | Camera focal length in millimeters |
+| `camera_location_x` | `float64` | Camera X position in Blender world coordinates |
+| `camera_location_y` | `float64` | Camera Y position in Blender world coordinates |
+| `camera_location_z` | `float64` | Camera Z position in Blender world coordinates |
+| `camera_rotation_x` | `float64` | Camera X rotation in radians |
+| `camera_rotation_y` | `float64` | Camera Y rotation in radians |
+| `camera_rotation_z` | `float64` | Camera Z rotation in radians |
+| `lighting_preset` | `string` | Lighting preset name |
+
+### Appearance Metadata
+
+| Field | Type | Description |
+|---|---|---|
+| `body_gender` | `string` | SMPL-X body gender configuration |
+| `face_expression` | `string` | Facial expression label; empty for some samples |
+| `hair_melanin` | `float64` | Hair melanin value controlling color darkness |
+| `hair_roughness` | `float64` | Hair surface roughness value |
+| `has_garments` | `bool` | Whether BEDLAM clothing is applied to the body |
+
+## Quick Start
+
+Install the Hugging Face `datasets` package if needed:
+
+```bash
+pip install datasets
+```
+
+Load the dataset:
+
+```python
 from datasets import load_dataset
 
 ds = load_dataset("deepmancer/baldy", split="train")
 sample = ds[0]
-print(sample["view"], sample["source"], sample["bald_render"])
+
+hair = sample["hair_image"]  # PIL.Image: subject with hair
+bald = sample["bald_image"]  # PIL.Image: same subject without hair
+```
+
+Save a paired sample:
+
+```python
+sample["hair_image"].save("hair.png")
+sample["bald_image"].save("bald.png")
+sample["hair_render"].save("hair_render.png")
+sample["bald_render"].save("bald_render.png")
+sample["background_image"].save("background.png")
+```
+
+## Common Usage Patterns
+
+Filter by camera view:
+
+```python
+front = ds.filter(lambda row: row["view"] == "front")
+side = ds.filter(lambda row: row["view"] == "side")
+back = ds.filter(lambda row: row["view"] == "back")
+```
+
+Filter by hairstyle source:
+
+```python
+hair20k = ds.filter(lambda row: row["source"] == "hair20k")
+difflocks = ds.filter(lambda row: row["source"] == "difflocks")
+```
+
+Read Blender render parameters:
+
+```python
+import json
+
+params = json.loads(sample["render_params_json"])
+print(params.keys())
+```
+
+Stream the dataset without downloading all shards:
+
+```python
+from datasets import load_dataset
+
+stream = load_dataset("deepmancer/baldy", split="train", streaming=True)
+for row in stream:
+    print(row["hairstyle_id"], row["view"], row["source"])
+    break
+```
+
+## File Format
+
+Baldy is stored as sharded Parquet files with embedded image bytes:
+
+```text
+data/
+├── train-00000-of-NNNNN.parquet
+├── train-00001-of-NNNNN.parquet
+├── ...
+└── train-NNNNN-of-NNNNN.parquet
+```
+
+No external image files are required. Image columns are decoded automatically as PIL images by the `datasets` library.
+
+## Intended Uses
+
+Baldy is intended for research and development in:
+
+- bald-conversion model training
+- hairstyle-transfer preprocessing
+- paired image-to-image translation
+- synthetic data studies for hair and head rendering
+- controlled evaluation of hair removal and reconstruction pipelines
+- HairPort-style 3D-aware hair import and transfer systems
+
+## Limitations And Responsible Use
+
+Baldy is a synthetic dataset. Its distribution reflects the hairstyle sources, SMPL-X configurations, rendering settings, and generative refinement pipeline used to create it. The current release is also front-view dominant.
+
+Generated samples may contain artifacts or biases inherited from the rendering and image-generation stages. Users should inspect samples before using the dataset in production settings.
+
+This dataset is not designed as a demographic benchmark and should not be used for sensitive identity, demographic, or attribute-inference tasks.
+
+## Related Resources
+
+- **Project page:** [deepmancer.github.io/HairPort](https://deepmancer.github.io/HairPort/)
+- **Code:** [github.com/deepmancer/HairPort](https://github.com/deepmancer/HairPort)
+- **Bald Converter LoRA weights:** [deepmancer/bald_konverter](https://huggingface.co/deepmancer/bald_konverter)
+- **Baldy dataset:** [deepmancer/baldy](https://huggingface.co/datasets/deepmancer/baldy)
+
+## Citation
+
+If you use Baldy or HairPort in your research, please cite:
+
+```bibtex
+@inproceedings{heidari2026hairport,
+  title     = {HairPort: In-context 3D-Aware Hair Import and Transfer for Images},
+  author    = {A. Heidari and A. Alimohammadi and W. Michel Pinto Lira and A. Bar-Lev and A. Mahdavi-Amiri},
+  booktitle = {ACM SIGGRAPH 2026},
+  year      = {2026}
+}
+```
+
+## License
+
+Baldy is released under the [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/) license.