Instance views
Zeno Instance Views are modular renderers for different data types and tasks.
Each of the following views can be passed as the view option to a TOML configuration file. To create a new or custom view see Creating a view
| View Name | Description |
|---|---|
| image-classification | Display images with ground truth and predicted class labels. Works for both binary and multiclass classification. Requires image inputs and text or numeric outputs. |
| text-classification | Display text with ground truth and predicted class labels. Requires text inputs and text or numeric outputs. |
| audio-transcription | Display audio file along with outputed text, e.g. transcription. Requires audio inputs and text outputs. |
| image-segmentation | Display image with overlayed ground truth and predicted segmentation masks. Works for both binary segmentation. Requires image inputs and binary image outputs. |
| code-generation | Show formatted code input and code predictions. Use for evaluating code generation models such as Codex. |
| openai-chat | Show input-output pairs from chatbot models using the OpenAI API. See the API documentation for details on the required Chat data format. |
| openai-chat-markdown | Show input-output pairs from chatbot models using the OpenAI API. See the API documentation for details on the required Chat data format. This view is similar to the `openai-chat` view, but it renders assistant blocks and labels with markdown syntax to enable representing more complex queries like tools. |
| chatbot | Show a single input-output pair from chatbot models. |
| space-separated-values | Table view of inputs, outputs, and labels which are space-separated words. Useful for tasks such as part-of-speech tagging. |