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If you have test case data stored in a CSV file, you can bulk-import it into an Adaline dataset instead of adding rows manually. This is the fastest way to populate a dataset with large volumes of test data for evaluation — including multimodal data like images and PDFs.

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Import a CSV file

Open your dataset and click Upload CSV to start the import: Uploading a CSV file in Adaline

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Import behavior

The system handles empty and existing datasets differently:
If your CSV looks correct but the import fails with a parsing error, try importing the CSV into Google Sheets first, then exporting it back as a CSV. Use the re-exported file in Adaline — this resolves most encoding and formatting issues invisible to the human eye.

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CSV format and examples

The first row of your CSV is always the header row — these become (or must match) your dataset column names. Every subsequent row is a test case. Column names should match your prompt’s variable names exactly so they map correctly during evaluation.

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Text-only CSV

A standard CSV where every cell contains plain text:

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Text and images

To include images in a CSV, use a publicly accessible image URL or a base64-encoded image string as the cell value. Adaline automatically detects the modality.
Supported image formats: PNG, JPEG/JPG, GIF, and WebP.

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Text, images, and PDFs

Combine all three modalities across different columns:

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Base64-encoded content

You can include base64-encoded images or PDFs directly in the CSV. This is useful when your files are not publicly hosted:
You can freely mix URLs and base64 strings within the same column. Adaline handles each cell independently and detects the modality automatically.

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How modality detection works

When Adaline parses a CSV, it inspects each cell value and determines the modality:
  • Plain text values are treated as text.
  • Values starting with http:// or https:// pointing to image files (.png, .jpg, .jpeg, .gif, .webp) are treated as images.
  • Values starting with http:// or https:// pointing to .pdf files are treated as PDFs.
  • Values starting with data:image/ are treated as base64-encoded images.
  • Values starting with data:application/pdf;base64, are treated as base64-encoded PDFs.
See Different Modalities in Dataset for the full guide on working with multimodal data in datasets, including size limits and storage behavior.

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Next steps

Different Modalities

Work with text, images, and PDFs in dataset cells.

Setup Dataset

Create and configure datasets for evaluation.