KeyError: 'mask' - client.export_to_table

[AschHarwood]

I'm trying to export a dataset to a dataframe. I'm using the boilerplate code from the example notebook labelpandas-export.ipynb.

The code I"m running is:

df = client.export_to_table( project=project_id, include_performance=True, include_agreement=True, include_metadata=True, mask_method="png", verbose=True )

Here's the error:

Exporting labels from Labelbox for project with ID clr7vo5oc0be6072qacc5cwp0
Export complete: 5 labels exported
Flattening labels...

KeyError Traceback (most recent call last)
in <cell line: 1>()
----> 1 df = client.export_to_table(
2 project=project_id,
3 include_performance=True,
4 include_agreement=True,
5 include_metadata=True,

2 frames
/usr/local/lib/python3.10/dist-packages/labelbase/annotate.py in flatten_label(client, label_dict, ontology_index, datarow_id, mask_method, divider)
390 annotation_value = [array, [255,255,255]]
391 else:
--> 392 png = mask_to_bytes(client=client, input=obj['mask']["url"], datarow_id=datarow_id, method="url", color=[255,255,255], output="png")
393 annotation_value = [png, "null"]
394 if "classifications" in obj.keys():

KeyError: 'mask'

Thanks!