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Calling clone() on a nested dataset view raises the following error:
[...]
File "/path/to/site-packages/small_text/active_learner.py", line 389, in _retrain
dataset = self.dataset[self.indices_labeled].clone()
File "/path/tob-v2-ifn6Asey/lib/python3.8/site-packages/small_text/integrations/transformers/datasets.py", line 32, in clone
target_labels = None if self.dataset.track_target_labels else np.copy(self.target_labels)
AttributeError: 'TransformersDatasetView' object has no attribute 'track_target_labels'
The fix is easy, but this is also a sign that the "target label tracking" is not properly mapped to the dataset views.
Maybe the target tracking functionality was also never needed in the first place.
Steps to reproduce
Create a DatasetView of a DataSetView of a DataSet, then call .clone() (the outermost) view.
Bug description
Calling
clone()
on a nested dataset view raises the following error:The fix is easy, but this is also a sign that the "target label tracking" is not properly mapped to the dataset views.
Maybe the target tracking functionality was also never needed in the first place.
Steps to reproduce
Create a DatasetView of a DataSetView of a DataSet, then call
.clone()
(the outermost) view.Expected behavior
--
Environment:
small-text integrations (e.g., transformers): pytorch, transformers
Addition information
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