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This model has been trained on a very small [dataset](https://github.com/yamanalab/ec-darkpattern/blob/master/dataset/dataset.tsv) having ~1.8k samples and 8 classes.
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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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This model has been trained on a very small [dataset](https://github.com/yamanalab/ec-darkpattern/blob/master/dataset/dataset.tsv) having ~1.8k samples and 8 classes.
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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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