Trouble loading training.parquet dataset about openshift-ml-workflows-workshop HOT 1 OPEN

▶ pipenv install pyarrow
Courtesy Notice: Pipenv found itself running within a virtual environment, so it will automatically use that environment, instead of creating its own for any project. You can set PIPENV_IGNORE_VIRTUALENVS=1 to force pipenv to ignore that environment and create its own instead. You can set PIPENV_VERBOSITY=-1 to suppress this warning.
Installing pyarrow…
Adding pyarrow to Pipfile's [packages]…
✔ Installation Succeeded 
Pipfile.lock not found, creating…
Locking [dev-packages] dependencies…
Locking [packages] dependencies…
Building requirements...
Resolving dependencies...
✔ Success! 
Updated Pipfile.lock (e8ac95)!
Installing dependencies from Pipfile.lock (e8ac95)…
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To activate this project's virtualenv, run pipenv shell.
Alternatively, run a command inside the virtualenv with pipenv run.

▶ pipenv run jupyter notebook
Courtesy Notice: Pipenv found itself running within a virtual environment, so it will automatically use that environment, instead of creating its own for any project. You can set PIPENV_IGNORE_VIRTUALENVS=1 to force pipenv to ignore that environment and create its own instead. You can set PIPENV_VERBOSITY=-1 to suppress this warning.
[I 16:40:40.780 NotebookApp] Serving notebooks from local directory: /Users/carl/Development/ml-workflows-notebook
[I 16:40:40.780 NotebookApp] The Jupyter Notebook is running at:
[I 16:40:40.780 NotebookApp] http://localhost:8888/?token=174bd2b70cb82569facbbd57a47bbae470967f29952e63a1
[I 16:40:40.780 NotebookApp]  or http://127.0.0.1:8888/?token=174bd2b70cb82569facbbd57a47bbae470967f29952e63a1
[I 16:40:40.780 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 16:40:40.786 NotebookApp] 
    
    To access the notebook, open this file in a browser:
        file:///Users/carl/Library/Jupyter/runtime/nbserver-93704-open.html
    Or copy and paste one of these URLs:
        http://localhost:8888/?token=174bd2b70cb82569facbbd57a47bbae470967f29952e63a1
     or http://127.0.0.1:8888/?token=174bd2b70cb82569facbbd57a47bbae470967f29952e63a1
[I 16:40:49.927 NotebookApp] Kernel started: 628eb2e7-4370-4e7f-b0be-96089fc84b4a