Import or Create Datasets

Datasets are collections of data used for training, testing, and evaluating AI models within workflows and evaluations. Test your prompts, http agents or no-code agents across test cases in this dataset and view results at scale. Begin with a template and customize column structure. Evolve your datasets over time from production logs or human annotation.

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Create Datasets Using Templates

Create Datasets quickly with predefined structures using our templates:

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Prompt or Workflow Testing

Choose this template for single-turn interactions based on individual inputs to test prompts or workflows.

Example: Input column with prompts like “Summarize this article about climate change” paired with an Expected Output column containing ideal responses.

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Agent Simulation

Select this template for multi-turn simulations to test agent behaviors across conversation sequences.

Example: Scenario column with “Customer inquiring about return policy” and Expected Steps column outlining the agent’s expected actions.

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Dataset Testing

Use this template when evaluating against existing output data to compare expected and actual results.

Example: Input column with “What’s the weather in New York?” and Expected Output column with “65°F and sunny” for direct evaluation.

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Add Images to Your Dataset

You can enhance your datasets by including images alongside other data types. This is particularly useful for:

• Visual content evaluation
• Image-based prompts and responses
• Multi-modal testing scenarios