Doc-to-LoRA release

webui/SELF_GEN_VIEWER.md

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+# Self-Gen Data Viewer
+
+Thanks Claude.
+
+Running the viewer
+```bash
+uv run self_gen_viewer.py
+```
+
+Then open your browser and go to: **http://localhost:5001**
+
+## Usage
+
+1. **Select a Model Folder**: Choose from the dropdown list (e.g., `google/gemma-2-2b-it_temp_0.0_closed_qa_prob_1.0`)
+2. **Select a Parquet File**: Once a folder is selected, available parquet files will appear
+3. **Set Number of Samples**: Adjust the sample count (default: 100, max: 1000)
+4. **Click "Load Data"**: View the visualized data with context and Q&A pairs
+
+## Data Structure
+
+The viewer expects data in the following structure:
+```
+data/raw_datasets/self_gen/
+├── google/
+│   └── gemma-2-2b-it_temp_0.0_closed_qa_prob_1.0/
+│       └── fw_qa_v2/
+│           └── *.parquet
+└── mistralai/
+    └── Mistral-7B-Instruct-v0.2_temp_0.0_closed_qa_prob_1.0/
+        └── *.parquet
+```