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      • Visualize your dataset with the Bespoke Curator Viewer
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      • Curate Reasoning data with Claude-3.7 Sonnet
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  2. Getting Started

Visualize your dataset with the Bespoke Curator Viewer

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Last updated 1 day ago

IMPORTANT: We recently are retiring our local curator-viewer , now switching to a hosted Bespoke Curator Viewer.

The hosted Bespoke Curator Viewer is a rich interface to visualize data, and makes visually inspecting the data much easier.

Example:

Before your Curator run, set the CURATOR_VIEWER environment variable.

Bash:

export CURATOR_VIEWER=1

Python/colab:

import os
os.environ["CURATOR_VIEWER"]="1"

With this enabled, as curator generates data, it gets uploaded and you can see the responses streaming in the viewer. The URL for the viewer is displayed right next to the rich progress.

Then, run on any Bespoke Curator scripts, here we use examples/poem-generation/poem.py as an example, and

The line 

Curator Viewer: ✨ Open Curator Viewer ✨

contains a clickable link (the following is an example viewer link, the link changes for each new Curator generation run) which opens the hosted Bespoke Curator Viewer in a new browser tab:

https://curator.bespokelabs.ai/datasets/845c7dd33b8b4242a24ff048b5f94354
Example Bespoke Curator Rich CLI logs on synthetic poems
Example Bespoke Curator Viewer on synthetic poem topics
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