Visualize your dataset with the Bespoke Curator Viewer
Last updated
Last updated
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:
Python/colab:
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
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:
By default, datasets are accessible to anyone with the link. To keep your datasets private, you can associate them with a Bespoke Labs account. Doing so also allows you to:
Track all datasets associated with your account
Share datasets with collaborators
Analyze data generation costs over time
You can enable authentication as follows:
Set the BESPOKE_API_KEY
and CURATOR_VIEWER
environment variables:
With these variables set, all your datasets will be streamed to the hosted viewer and linked to your Bespoke Labs account.
for a Bespoke Labs account.
Create an API key from the page.
You can visit the page to see all the datasets generated with your API keys or shared with you by others.
You can also visit the page to see the data generation costs for a given period.