Document the Text and the Model
Distinguish dataset documentation from model documentation for an NLP release.
Reframe: an NLP score without data and model context is an incomplete claim. Two Artifacts, Two Jobs A dataset sheet explains the text supply chain: why the data exists, how it was collected, what it contains, how it was cleaned, and where it should not be reused. A model card explains the trained system: intended use, evaluation setup, performance, limitations, and caveats. Why It Works Documentation makes assumptions visible before they turn into production incidents. NLP data often contains regional language, templates, sensitive content, and label noise. Aggregate metrics hide these differences. Sliced documentation makes teams ask whether the model…
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