Launch Week 4

Define JSON schemas for your dataset inputs and expected outputs to ensure data quality and consistency across your test datasets.

Key Features:

• Add JSON Schema validation to datasets to ensure all items conform to expected structure
• Automatic validation of dataset items against defined schemas
• Detailed error messages for validation failures
• Support for validation on creation, updates, and CSV imports

Benefits:

• Ensures data quality: All items must match defined structure
• Catches errors early: Invalid data rejected before entering dataset
• Improves collaboration: Shared schemas ensure consistent formatting
• Type safety: Define exact structures for inputs and expected outputs
• Prevents test failures: Experiments won't fail due to malformed test data

Use Cases:

• Validate JSON responses from function calling or tool use
• Ensure message arrays follow correct format in chat applications
• Maintain consistency when multiple team members contribute
• Validate CSV uploads before adding items to datasets