The project contains the code of the project MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science and Algorithmic Fairness.
Using inappropriate datasets for data science tasks can be harmful, especially for applications that impact humans. Targeting data ethics, we demonstrate MithraLabel, a system for generating task-specific information about a dataset, in the form of a set of visual widgets, as a flexible "nutritional label" that provides a user with information to determine the fitness of the dataset for the task at hand.
[1] Chenkai Sun, Abolfazl Asudeh, H. V. Jagadish, Bill Howe, Julia Stoyanovich. MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science and Algorithmic Fairness. CIKM, pages 2893-2896, 2019, ACM.
This project is licensed under the MIT License - see the LICENSE.md file for details
