b01dbb875df263184060a27ebd9a829a20703119,torchnlp/datasets/iwslt.py,,iwslt_dataset,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,10

Before Change

            for i, example in enumerate(language_specific_examples):
                examples[i][extension] = example

        ret.append(Dataset(examples))

    if len(ret) == 1:
        return ret[0]

After Change

    iwslt_clean(os.path.join(directory, "{source}-{target}".format(source=source, target=target)))

    ret = []
    splits = [(train, train_filename), (dev, dev_filename), (test, test_filename)]
    splits = [f for (requested, f) in splits if requested]
    for filename in splits:
        examples = []

Instances