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Adaline datasets are structured as tables where columns represent the variables in your prompt, rows represent individual test cases, and cells hold the value for each variable in a given test case. Since Adaline supports multimodal prompts, each cell in a dataset can hold its own modality — text, image, or PDF — independently of any other cell in the same row or column. This means a single row can mix a text question in one column, an image in another, and a PDF in a third — matching exactly how your multimodal prompt consumes different input types. Multimodal cells in a dataset

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Supported modalities

Each cell is independent — you can have a text cell next to an image cell next to a PDF cell in the same row. You can also have different modalities across rows within the same column.

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Text

Text is the default modality. Simply click on a cell and type or paste your content. There is no additional configuration needed. For example, if your prompt has a {{user_question}} variable, you would add a user_question column and type the question directly into each cell:

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Images

To add an image to a cell, paste one of the following:
  • A publicly accessible image URL — e.g., https://example.com/photos/front.png
  • A base64-encoded image string — e.g., data:image/png;base64,iVBORw0KGgo...
Adaline automatically detects the image and renders a preview in the cell. Supported image formats: PNG, JPEG/JPG, GIF, and WebP. Image cells rendered in a dataset

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Example: image via URL

Paste a direct link to a publicly hosted image into the cell:
Adaline fetches the image and displays a thumbnail.

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Example: image via base64

Paste a base64-encoded image string with the data URI prefix: Maximum image size: 5 MB.
Base64 images in datasets are hosted on Adaline storage and can be accessed through the Dataset API.

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PDFs

To add a PDF to a cell, paste one of the following:
  • A publicly accessible PDF URL — e.g., https://example.com/docs/report.pdf
  • A base64-encoded PDF string — e.g., data:application/pdf;base64,JVBERjQK...

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Example: PDF via URL

Paste a direct link to a publicly hosted PDF into the cell:

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Example: PDF via base64

Paste a base64-encoded PDF string with the data URI prefix: Maximum PDF size: 10 MB.
Base64 PDFs in datasets are hosted on Adaline storage and can be accessed through the Dataset API.

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Importing multimodal data via CSV

You can bulk-import multimodal datasets using CSV files. In the CSV, text values are entered as-is, and image or PDF values are entered as their publicly accessible URLs or base64 strings. Adaline automatically detects the modality of each cell based on the value.

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Text-only CSV

A standard CSV where every cell contains plain text:

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Mixed modalities CSV (text + images)

A CSV that combines text and image URLs in different columns:

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Mixed modalities CSV (text + images + PDFs)

A CSV that combines text, image URLs, and PDF URLs across columns:

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Mixed modalities CSV with base64

You can also include base64-encoded content directly in the CSV. This is useful when your images or PDFs are not publicly hosted:
When mixing URLs and base64 strings in the same column, Adaline handles each cell independently. You can freely mix both formats within a single column.

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Importing the CSV

Once your CSV is ready, click Upload CSV in the dataset editor to import it. Adaline parses each cell value and automatically detects the modality:
  • Plain text values are treated as text.
  • Values starting with http:// or https:// pointing to image or PDF files are treated as the corresponding modality.
  • Values starting with data:image/ or data:application/pdf;base64, are treated as base64-encoded images or PDFs.
See Import CSV into Dataset for the full import guide.

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Size limits and storage

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Next steps

Setup Dataset

Create datasets and configure columns for evaluation.

Import CSV into Dataset

Bulk-import test cases including multimodal data.

Evaluate Prompts

Run evaluations on your multimodal dataset.

Use Images in Prompt

Learn how to use images in your prompts.