| # Preprocessing Workflow | |
| This folder contains the preprocessing pipeline for adding new voice notes to the dataset. | |
| ## Folder Structure | |
| - `raw_audio/` - Raw recordings as they come from your device | |
| - `transcripts/` - AI-generated transcripts for the raw audio files | |
| - `queue/` - Processed audio files ready to be added to the main dataset | |
| ## Workflow | |
| 1. Add new recordings to `raw_audio/` | |
| 2. Generate transcripts and place them in `transcripts/` (filenames should match audio files) | |
| 3. Process/clean audio as needed and move to `queue/` | |
| 4. Run `python3 preprocessing/move_to_dataset.py` to add new files to the main dataset | |
| 5. The script will automatically: | |
| - Assign new IDs to files | |
| - Move files to the appropriate directories | |
| - Regenerate the task list and dataset metadata | |
| This keeps the main dataset organized while providing a staging area for new data. |