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πŸ“‹Document Datasets with Datasheets

Datasets get retrained; the quirks get rediscovered. Walk the Gebru et al. datasheet section by section against a real dataset, compare it to model cards and Google's data cards, then audit one of your team's datasets and flag the gaps.

Foundations14 drops~2-week path Β· 5–8 min/daytechnology

Phase 1Why datasets need their own docs β€” distinct from the model

Why datasets need their own docs β€” distinct from the model

4 drops
  1. Datasets ship without docs β€” and the next team rediscovers every quirk

    6 min

    Datasets ship without docs β€” and the next team rediscovers every quirk

  2. Motivation is the first section β€” and most teams skip it

    6 min

    Motivation is the first section β€” and most teams skip it

  3. Composition is the section where 'what's actually in here?' lives

    7 min

    Composition is the section where 'what's actually in here?' lives

  4. Collection process is where the ethics live

    7 min

    Collection process is where the ethics live

Phase 2Fill out a datasheet section by section

Fill out a datasheet section by section

5 drops
  1. Pick a real dataset and pre-load the seven sections

    6 min

    Pick a real dataset and pre-load the seven sections

  2. Pre-processing is where the silent decisions live

    7 min

    Pre-processing is where the silent decisions live

  3. 'Recommended uses' is half the section β€” 'not recommended uses' is the other half

    7 min

    'Recommended uses' is half the section β€” 'not recommended uses' is the other half

  4. Distribution and maintenance are the sections that decide if anyone trusts your dataset in 18 months

    7 min

    Distribution and maintenance are the sections that decide if anyone trusts your dataset in 18 months

  5. Read your draft cold and find what's still hand-waving

    8 min

    Read your draft cold and find what's still hand-waving

Phase 3Datasheets vs model cards vs data cards

Datasheets vs model cards vs data cards

4 drops
  1. Your ML lead asks 'do we need a datasheet AND a model card?'

    7 min

    Your ML lead asks 'do we need a datasheet AND a model card?'

  2. A vendor sends you a Google data card β€” is it a datasheet?

    7 min

    A vendor sends you a Google data card β€” is it a datasheet?

  3. Compliance asks: 'will any of these formats satisfy the EU AI Act?'

    8 min

    Compliance asks: 'will any of these formats satisfy the EU AI Act?'

  4. Pick one format and defend it to the team

    8 min

    Pick one format and defend it to the team

Phase 4Audit a real dataset and flag the gaps

Audit a real dataset and flag the gaps

1 drop
  1. Audit one of your team's datasets and produce a gap list

    10 min

    Audit one of your team's datasets and produce a gap list

Frequently asked questions

What is a datasheet for datasets and why was it proposed?
This is covered in the β€œDocument Datasets with Datasheets” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
How is a datasheet different from a model card?
This is covered in the β€œDocument Datasets with Datasheets” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
What sections does the Gebru et al. datasheet include?
This is covered in the β€œDocument Datasets with Datasheets” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
How do Google's data cards compare to datasheets?
This is covered in the β€œDocument Datasets with Datasheets” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
What does a practical dataset audit look like in 30 minutes?
This is covered in the β€œDocument Datasets with Datasheets” learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.