diff --git a/common/dataset.py b/common/dataset.py
index 9acf486..e766148 100644
--- a/common/dataset.py
+++ b/common/dataset.py
@@ -8,7 +8,7 @@ from datasets.msrvid import MSRVID
 from datasets.trecqa import TRECQA
 from datasets.wikiqa import WikiQA
 from datasets.pit2015 import PIT2015
-
+from datasets.reuters import Reuters
 
 class UnknownWordVecCache(object):
     """
@@ -66,6 +66,11 @@ class DatasetFactory(object):
             train_loader, dev_loader, test_loader = PIT2015.iters(dataset_root, word_vectors_file, word_vectors_dir, batch_size, device=device, unk_init=UnknownWordVecCache.unk)
             embedding = nn.Embedding.from_pretrained(PIT2015.TEXT_FIELD.vocab.vectors)
             return PIT2015, embedding, train_loader, test_loader, dev_loader
+	elif dataset_name == 'reuters':
+            dataset_root = os.path.join(castor_dir, os.pardir, 'Castor-data', 'datasets', 'Reuters-21578/')
+            train_loader, dev_loader, test_loader = Reuters.iters(dataset_root, word_vectors_file, word_vectors_dir, batch_size, device=device, unk_init=UnknownWordVecCache.unk)
+            embedding = nn.Embedding.from_pretrained(Reuters.TEXT_FIELD.vocab.vectors)
+            return Reuters, embedding, train_loader, test_loader, dev_loader
         else:
             raise ValueError('{} is not a valid dataset.'.format(dataset_name))