C-Mining: Unsupervised Discovery of Seeds for Cultural Data Synthesis via Geometric Misalignment

Create an automated pipeline that uses geometric misalignment to identify and filter high-quality cultural seeds for LLM fine-tuning. This tool would significantly reduce the manual labor involved in creating culturally nuanced synthetic datasets.

Suggested repo: culture-seed

"Beyond bias: Unsupervised discovery of culturally grounded training data."

Estimated effort: 60h