Lesson 04
Tools: Data Sheets
These tools can help you apply this lesson in real-world projects.
Tools to help you implement Data Sheets
- The original academic paper outlining Data Sheets. Skip to the end for the practical session headings and examples.
Aether Data Documentation Template
- An evolution of ‘Datasheets for Datasets’, edited it to reflect the needs of industry practitioners
Other documentation tools
The Landscape of ML Documentation Tools
- HuggingFace’s list of various documentation tools in this space (Data-focused, Models-and-methods-focused, and Systems-focused)
- ‘Driving healthy data use through increased transparency’
- A framework focused on helping dataset developers document key decision points around the role of human annotators in datasets.
‘Model Cards for Model Reporting’
- Designed to complement ‘Datasheets for Datasets’, and focused on machine learning models specifically
Machine Learning Emissions Calculator
- Tool to help you estimate the carbon emissions of your machine learning model
- Published by Meta to increase transparency around entire ML-powered systems (including datasets, models and other software)
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Next: Chapter 06
How patterns can help you design more responsibly
Back: Lesson 03
Upgrade Your Newsfeeds: Data Sheets
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