- Improved `parse_int_list` and `parse_float_list` functions to support JSON list input.
- Introduced `validate_dataset_metadata` function to ensure dataset metadata consistency with training configuration.
- Added multiple new files for extra information types, categorizing them into assessment-only, exposure-only, and combined types.
- Removed deprecated `merge_extra_info_types` function and adjusted related logic in `train.py`.
- Updated `save_config` function to accept additional metadata for training runs.
- Refactored model and training scripts for better clarity and maintainability.
- Implemented target construction in `targets.py` for next-token and unique-time set supervision.
- Added validation functions and utility methods for target building.
- Created a comprehensive training script in `train.py` that includes data loading, model building, optimizer setup, and training loop with early stopping and logging.
- Integrated loss functions and readout mechanisms based on target modes.
- Established dataset splitting and DataLoader configurations for training, validation, and testing.
