diff --git a/fastNLP/io/dataset_loader.py b/fastNLP/io/dataset_loader.py
index 40604deb..8c697e4a 100644
--- a/fastNLP/io/dataset_loader.py
+++ b/fastNLP/io/dataset_loader.py
@@ -22,6 +22,8 @@ __all__ = [
     'SSTLoader',
     'PeopleDailyCorpusLoader',
     'Conll2003Loader',
+    'VocabularyOption',
+    'EmbeddingOption',
 ]
 
 from nltk.tree import Tree
@@ -32,8 +34,8 @@ from .file_reader import _read_csv, _read_json, _read_conll
 from typing import Union, Dict, Iterable
 import os
 from ..core.utils import Example
-from ..core import Vocabulary
-from ..io import EmbedLoader
+from ..core.vocabulary import Vocabulary
+from ..io.embed_loader import EmbedLoader
 import numpy as np
 
 
@@ -448,14 +450,13 @@ class SSTLoader(DataSetLoader):
         info = DataInfo(datasets=self.load(paths))
         _train_ds = [info.datasets[name]
                      for name in train_ds] if train_ds else info.datasets.values()
-
-        src_vocab.from_dataset(_train_ds, field_name=input_name)
-        tgt_vocab.from_dataset(_train_ds, field_name=target_name)
+        src_vocab.from_dataset(*_train_ds, field_name=input_name)
+        tgt_vocab.from_dataset(*_train_ds, field_name=target_name)
         src_vocab.index_dataset(
-            info.datasets.values(),
+            *info.datasets.values(),
             field_name=input_name, new_field_name=input_name)
         tgt_vocab.index_dataset(
-            info.datasets.values(),
+            *info.datasets.values(),
             field_name=target_name, new_field_name=target_name)
         info.vocabs = {
             input_name: src_vocab,