Document the Dataset Before You Model
Draft the minimum dataset documentation needed before using data in an AI-for-data-science project.
A dataset is not neutral just because it is rectangular. It has a history, a purpose, and boundaries. Datasheets for Datasets gives data scientists a way to document those boundaries before model development. The core idea is simple: the people who use a dataset should know how it was created, what it represents, what it omits, and what uses would be inappropriate. Provenance Where did the data come from, who collected it, and what transformations have already happened? Provenance protects you from treating derived or post-event fields as raw signals. Composition What does one row represent, which populations are included…
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