This repository aggregates academic survey papers, perspective papers, tutorials (including a KDD 2023 tutorial), and blog posts on data-centric AI techniques. It serves as a reference collection for researchers and practitioners interested in data curation, data quality, and data engineering approaches to machine learning. The list covers topics like data-centric concepts behind foundation models (GPT, Segment Anything) and future directions in data-centric ML.