A collection of annotated training datasets organized into multiple machine learning use case categories. This resource acts as a central directory for locating labeled data across diverse functional domains.
Use Cases
- Search for task-specific training data using the 'use case' classification
- Source labeled examples for supervised learning models using the 'annotated' data feature
- Identify relevant data sources for specific research domains by navigating the 'use case' hierarchy
Strengths
- Classifies datasets based on specific machine learning use cases
- Focuses on annotated training data suitable for supervised learning
- Provides a curated index of external data repositories