Loading paws.py +2 −2 Original line number Diff line number Diff line Loading @@ -101,9 +101,9 @@ dev_samples = [] train_dataset = load_dataset('paws', 'labeled_final', split='train') train_dataset.set_format(type='pandas') train_dataset = train_dataset[:] for index, row in train_dataset.iterrows(): train_samples.append(InputExample(texts=[row['sentence1'], row['sentence2']], label=row['label'])) x = torch.FloatTensor([row['label']]) train_samples.append(InputExample(texts=[row['sentence1'], row['sentence2']], label=x)) dev_dataset = load_dataset('paws', 'labeled_final', split='validation') dev_dataset.set_format(type='pandas') Loading Loading
paws.py +2 −2 Original line number Diff line number Diff line Loading @@ -101,9 +101,9 @@ dev_samples = [] train_dataset = load_dataset('paws', 'labeled_final', split='train') train_dataset.set_format(type='pandas') train_dataset = train_dataset[:] for index, row in train_dataset.iterrows(): train_samples.append(InputExample(texts=[row['sentence1'], row['sentence2']], label=row['label'])) x = torch.FloatTensor([row['label']]) train_samples.append(InputExample(texts=[row['sentence1'], row['sentence2']], label=x)) dev_dataset = load_dataset('paws', 'labeled_final', split='validation') dev_dataset.set_format(type='pandas') Loading