Add script to convert raw NEON articles into instruction-tuned formats
suitable for LoRA and other fine-tuning methods.
Features:
- Support for 4 output formats: alpaca, chat, sharegpt, completion
- Varied German instruction templates for better model generalization
- Length filtering options (--min-length, --max-length)
- Category translation to human-readable German names
- Metadata preservation for traceability
Generated datasets are gitignored as they can be easily regenerated
from the source data (~18k articles processed in seconds).
Normalize stern neon articles through external LLM w/ code in ./scripts
