Training Data

Training data is the raw material fed into an AI system—text, images, code, or other signals—from which the model learns patterns.

Legally, training data matters because it is often assembled by copying or accessing third-party works. The method of acquisition and retention of copies is central to infringement analysis.

Whether training data was licensed, scraped, or sourced from pirated libraries is a recurring factual and legal battleground.