Update README.md

README.md

@@ -7,19 +7,111 @@ size_categories:
 tags:
 - image-restoration
 - portrait-upscaling
+- face-super-resolution
+- aesthetic-refinement
 license: creativeml-openrail-m
 task_categories:
 - image-to-image
-# This is the "Connection"
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: "https://drive.google.com/drive/folders/1u2xu7bSrWxrbUxk-dT-UvEJq8IjdmNTP"
 ---
 
-# Dataset Description
-This is a **Proxy Repository** for the FFHQ dataset. It is strategically integrated into the GFA Assets & Stocks Investment Program's visual pipeline to provide high-fidelity facial reconstruction for 8K upscaling.
+# FFHQ Proxy Reference
 
-- **Primary Source:** [Google Drive (Official FFHQ)](https://drive.google.com/drive/folders/1u2xu7bSrWxrbUxk-dT-UvEJq8IjdmNTP)
-- **Role:** Aesthetic refinement and facial feature preservation.
+## Overview
+
+**FFHQ Proxy Reference** is a **reference-only dataset repository** designed to integrate high-quality human face images into advanced image restoration and portrait upscaling pipelines.
+
+This repository acts as a **proxy schema and access reference** for the official FFHQ dataset and is optimized for:
+
+- Facial detail preservation
+- Portrait-focused super-resolution (up to 8K)
+- Identity-consistent restoration workflows
+
+> **Important**  
+> This repository does **not host image files**.  
+> All images must be obtained directly from the official FFHQ source and loaded locally or via private storage using a custom dataset loader.
+
+---
+
+## Intended Use
+
+This dataset reference is designed for:
+
+- Portrait upscaling models
+- Face restoration and enhancement pipelines
+- Aesthetic refinement workflows
+- High-resolution facial reconstruction tasks
+
+It is **not** intended to redistribute FFHQ images or bypass licensing restrictions.
+
+---
+
+## Dataset Structure (Expected)
+
+Each sample is expected to follow this structure when loaded locally:
+
+```
+| Field | Type | Description |
+|------|------|------------|
+| `image` | `Image` | High-quality face image |
+| `resolution` | `int` | Image resolution indicator |
+| `source` | `string` | Original dataset reference |
+```
+---
+
+## Data Source
+
+- **Primary Source (Official FFHQ):**  
+https://github.com/NVlabs/ffhq-dataset
+
+- **Mirror / Access Reference:**
+  Google Drive (official distribution channel).
+
+All images remain under the **original FFHQ license and terms**.
+
+---
+
+## Integration Notes
+
+- Hugging Face **does not ingest Google Drive folders directly**
+- This repository serves as:
+  - A dataset reference
+  - A schema definition
+  - A controlled integration point for private pipelines
+
+To use the data, users must:
+1. Download FFHQ locally from the official source
+2. Load images using a custom `dataset.py` or local loader
+3. Ensure compliance with FFHQ licensing
+
+---
+
+## Example Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset(
+    "Legitking4pf/FFHQ-Proxy-Reference",
+    data_dir="/path/to/local/ffhq"
+)
+```
+
+## Licensing 
+
+- **Repository contents:** CreativeML Open RAIL-M.
+
+- **Image data:** Governed entirely by the original FFHQ license.
+
+This repository does not grant redistribution rights for FFHQ images.
+
+## Disclaimer
+
+This dataset is a proxy reference only. It exists to standardize integration and does not replace or mirror the original dataset.
+
+- **Users are responsible for:**
+  - Data access
+  - Storage
+  - Licensing compliance
+  - Copy code
+
+---