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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 NameDescription
image-classificationDisplay images with ground truth and predicted class labels. Works for both binary and multiclass classification. Requires image inputs and text or numeric outputs.
text-classificationDisplay text with ground truth and predicted class labels. Requires text inputs and text or numeric outputs.
audio-transcriptionDisplay audio file along with outputed text, e.g. transcription. Requires audio inputs and text outputs.
image-segmentationDisplay image with overlayed ground truth and predicted segmentation masks. Works for both binary segmentation. Requires image inputs and binary image outputs.
code-generationShow formatted code input and code predictions. Use for evaluating code generation models such as Codex.
openai-chatShow input-output pairs from chatbot models using the OpenAI API. See the API documentation for details on the required Chat data format.
openai-chat-markdownShow 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.
chatbotShow a single input-output pair from chatbot models.
space-separated-valuesTable view of inputs, outputs, and labels which are space-separated words. Useful for tasks such as part-of-speech tagging.