> ## Documentation Index > Fetch the complete documentation index at: https://www.adaline.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # Different modalities in dataset > Use text, images, and PDFs in your dataset cells to evaluate multimodal prompts 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 ## Supported modalities | Modality | Input methods | Supported formats | | --------- | ---------------------------------------------------------- | ------------------------ | | **Text** | Type or paste directly into the cell | Plain text | | **Image** | Paste a publicly accessible URL or a base64-encoded string | PNG, JPEG/JPG, GIF, WebP | | **PDF** | Paste a publicly accessible URL or a base64-encoded string | PDF (up to 10 MB) | 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. ## 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: | user\_question | | --------------------------------------------------------- | | What is the capital of France? | | Summarize this article in three sentences. | | Translate the following to Spanish: "Hello, how are you?" | ## 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 ### Example: image via URL Paste a direct link to a publicly hosted image into the cell: ``` https://upload.wikimedia.org/wikipedia/commons/thumb/0/02/Knobby_ADALINE.jpg/960px-Knobby_ADALINE.jpg ``` Adaline fetches the image and displays a thumbnail. ### Example: image via base64 Paste a base64-encoded image string with the data URI prefix: **Maximum image size:** 5 MB. ``` data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD... ``` Base64 images in datasets are hosted on Adaline storage and can be accessed through the Dataset API. ## 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...` ### Example: PDF via URL Paste a direct link to a publicly hosted PDF into the cell: ``` https://example.com/docs/quarterly-report.pdf ``` ### Example: PDF via base64 Paste a base64-encoded PDF string with the data URI prefix: **Maximum PDF size:** 10 MB. ``` data:application/pdf;base64,JVBERi0xLjQKMSAwIG9iago8PA... ``` Base64 PDFs in datasets are hosted on Adaline storage and can be accessed through the Dataset API. ## 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. ### Text-only CSV A standard CSV where every cell contains plain text: ```csv theme={null} user_question,context What is the capital of France?,"France is a country in Western Europe." Summarize this article.,"The article discusses the impact of AI on healthcare." ``` ### Mixed modalities CSV (text + images) A CSV that combines text and image URLs in different columns: ```csv theme={null} user_question,product_image Describe this product.,https://example.com/images/product-a.png What color is this item?,https://example.com/images/product-b.jpeg Is this item suitable for outdoor use?,https://example.com/images/product-c.webp ``` ### Mixed modalities CSV (text + images + PDFs) A CSV that combines text, image URLs, and PDF URLs across columns: ```csv theme={null} user_question,reference_image,supporting_document Describe what you see in the image.,https://example.com/images/storefront.png,https://example.com/docs/brand-guidelines.pdf Compare this image to the brand guidelines.,https://example.com/images/new-design.jpeg,https://example.com/docs/brand-guidelines.pdf Summarize the key findings from this report.,https://example.com/images/chart.png,https://example.com/docs/q4-report.pdf ``` ### 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: ```csv theme={null} user_question,product_image Describe this product.,data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAA... What color is this item?,https://example.com/images/product-b.jpeg ``` 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. ### 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](/docs/evaluate/import-csv-into-dataset) for the full import guide. ## Size limits and storage | Content type | Maximum size | | ---------------- | ----------------------------- | | **Text** | Up to 1 MB | | **Image URL** | No limit (fetched at runtime) | | **Image base64** | Up to 5 MB | | **PDF URL** | No limit (fetched at runtime) | | **PDF base64** | Up to 10 MB | ## Next steps Create datasets and configure columns for evaluation. Bulk-import test cases including multimodal data. Run evaluations on your multimodal dataset. Learn how to use images in your prompts.