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This model has been trained on a very small dataset having ~1.8k samples and 8 classes.
It performs horribly in classifying the type of dark pattern, but I did notice that it performs pretty well in classifying if it is a dark pattern or not. That is, it outputs "Not Dark Pattern" accurately most of the times (formal evaluation not done) when the given text is not a dark pattern (according to the examples in the dataset) and any of the other labels otherwise

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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ library_name: transformers
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+ pipeline_tag: text-classification
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+ tags:
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+ - dark patterns
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+ ---