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This dataset contains a slice of 200 samples from the [AG News](https://huggingface.co./datasets/ag_news) dataset (test split).
The picked 200 samples are potential misclassifications of the original test data.
Approach
* Fine-tune DistilBERT with 10k samples from the training data (out of 120k)
* Do a forward pass with the model, storing the loss
* Sort the samples based on the loss
This is a repository for demonstration purposes