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Is there a easy way to get the original raw sentences instead of data objects during the test dataset evaluation?
def eval(data_iter, model, args): model.eval() corrects, avg_loss = 0, 0 for batch in data_iter: feature, target = batch.text, batch.label **print (feature.original_sentence)**
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I figured to use index to get the string out.
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Is there a easy way to get the original raw sentences instead of data objects during the test dataset evaluation?
The text was updated successfully, but these errors were encountered: