We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Currently, scalar entities don't use the optional feature names from dataset descriptions, e.g.:
"observation.state": { "dtype": "float32", "shape": [ 2 ], "names": { "motors": [ "motor_0", "motor_1" ] } }
we should use these to infer better names for the scalar entities we log.
The text was updated successfully, but these errors were encountered:
Infer entity paths from LeRobot dataset feature metadata (#8981)
9a23563
### Related Closes #8969 ### What We now use the feature metadata from the LeRobot dataset to make the entity paths where possible.  (motor names for both observation and action values when visualizing [lerobot/pusht](https://huggingface.co/datasets/lerobot/pusht))
8d7c7ad
Successfully merging a pull request may close this issue.
Currently, scalar entities don't use the optional feature names from dataset descriptions, e.g.:
we should use these to infer better names for the scalar entities we log.
The text was updated successfully, but these errors were encountered: