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Datasheet

As explained in Introduction to Generative AI, Second Edition

A datasheet is a standardized document accompanying a dataset that describes its motivation, composition, collection process, recommended uses, and other relevant characteristics.

A datasheet is a standardized document that accompanies a dataset and makes its origins, contents, collection, and appropriate uses easier to understand. It helps bridge dataset creators and consumers, especially when opaque data can conceal bias or other problems. section 10.17 section 3.18

A useful datasheet documents:

  • The dataset’s motivation and intended purpose. section 10.17
  • Its composition and collection process, including information needed to judge provenance and possible bias. section 10.17 section 3.18
  • Recommended uses and other relevant characteristics, giving consumers a basis for more reflective decisions. section 10.17

Datasheets support reproducible, responsible data practice, but documentation is not automatically complete or easy. Recording every source in a large, varied pretraining dataset may be extremely time-consuming, and implementation remains uneven across organizations. section 10.17 section 3.18

Dataset cards

Hugging Face makes dataset cards a key feature of dataset documentation. A dataset card for the databricks-dolly-15k dataset illustrates how the datasheet idea can appear in practice. section 10.17

Figure 10.3 A dataset card for the databricks-dolly-15k dataset
A white rectangular object with black text

AI-generated content may be incorrect.

View an example dataset card associated with the datasheet approach. section 10.17

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Defines required documentation areas and explains their governance value, but stops short of prescribing a complete implementation process.
Examples
Uses Hugging Face dataset cards and a databricks-dolly-15k dataset card as concrete examples.
What you can do after
Evaluate/understand dataset provenance, composition, recommended uses, and risks through structured documentation.
How it connects
Connects datasheets with dataset cards, model cards, data curation, bias assessment, and privacy impact assessment.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Introduction to Generative AI, Second Edition. The section links point to the parts of the book it draws on.