Datasets Have Worldviews

Every dataset communicates a different perspective. When you shift your perspective, your conclusions can shift, too.

Datasets Have Worldviews Explorables Datasets Have Worldviews Every dataset communicates a different perspective. When you shift your perspective, your conclusions can shift, too. Suppose you have a dataset of shapes. They can either be shaded or unshaded . They look something like this: You built a supervised machine learning classifier that will automatically classify each shape as shaded or unshaded . You call it the “Is-Shaded Classifier”. Click “Run Classifier” to see how your model performs. It’s not perfect— some of the shapes are definitely misclassified. You want to improve your model

related reading

• Dataset list - A list of the biggest machine learning datasetsdatasetlist.com
• Why you need to improve your training data, and how to do it << Pete Warden&#039;s blogpetewarden.com
• The “it” in AI models is the dataset. — Non_Intnonint.com
• Datacurve | The data engine for frontier AIdatacurve.ai
• The Data Cards Playbook - Data Cards Playbooksites.research.google
• A Course in Machine Learningciml.info
• Statistical Fairness - Turing Commonsalan-turing-institute.github.io
• Thinking about High-Quality Human Data | Lil'Loglilianweng.github.io
• Anthropic/values-in-the-wild · Datasets at Hugging Facehuggingface.co
• The Limits of Dataissues.org
• Excavating AIexcavating.ai
• MAI-Thinking-1: Building a Hill-Climbing Machinemicrosoft.ai