📒 Data-centric AI playbook

This is a collection of useful data curation workflows (plays) on unstructured data. We distinguish between basic data enrichment workflows (rookie plays), established data curation solutions (veteran plays) and current state-of-the-art techniques (all-star plays).

Rookie plays

• Create embeddings with Huggingface
• Create embeddings with towhee
• Extract decision boundary based on probability ratios

Veteran plays

• Detect duplicates with Annoy
• Detect leakage with Annoy
• Detect data drift
• Detect label errors
• Detect outliers
• Detect image error patterns

All-star plays

• Find data slices