diff --git a/test/loader/config b/test/loader/config
new file mode 100644
index 00000000..a1922d28
--- /dev/null
+++ b/test/loader/config
@@ -0,0 +1,7 @@
+[test]
+x = 1
+y = 2
+z = 3
+input = [1,2,3]
+text = "this is text"
+doubles = 0.5
diff --git a/test/loader/test_loader.py b/test/loader/test_loader.py
new file mode 100644
index 00000000..ba33801e
--- /dev/null
+++ b/test/loader/test_loader.py
@@ -0,0 +1,75 @@
+import os
+import configparser
+
+import json
+import unittest
+
+
+from fastNLP.loader.config_loader import ConfigSection, ConfigLoader
+from fastNLP.loader.dataset_loader import TokenizeDatasetLoader, POSDatasetLoader, LMDatasetLoader
+
+class TestConfigLoader(unittest.TestCase):
+    def test_case_ConfigLoader(self):
+
+        def read_section_from_config(config_path, section_name):
+            dict = {}
+            if not os.path.exists(config_path):
+                raise FileNotFoundError("config file {} NOT found.".format(config_path))
+            cfg = configparser.ConfigParser()
+            cfg.read(config_path)
+            if section_name not in cfg:
+                raise AttributeError("config file {} do NOT have section {}".format(
+                    config_path, section_name
+                ))
+            gen_sec = cfg[section_name]
+            for s in gen_sec.keys():
+                try:
+                    val = json.loads(gen_sec[s])
+                    dict[s] = val
+                except Exception as e:
+                    raise AttributeError("json can NOT load {} in section {}, config file {}".format(
+                        s, section_name, config_path
+                    ))
+            return dict
+
+        test_arg = ConfigSection()
+        #ConfigLoader("config", "").load_config(os.path.join("./loader", "config"), {"test": test_arg})
+        ConfigLoader("config", "").load_config("/home/ygxu/github/fastNLP_testing/fastNLP/test/loader/config",
+                                               {"test": test_arg})
+
+        dict = read_section_from_config("/home/ygxu/github/fastNLP_testing/fastNLP/test/loader/config", "test")
+        #dict = read_section_from_config(os.path.join("./loader", "config"), "test")
+
+        for sec in dict:
+            if (sec not in test_arg) or (dict[sec] != test_arg[sec]):
+                raise AttributeError("ERROR")
+
+        for sec in test_arg.__dict__.keys():
+            if (sec not in dict) or (dict[sec] != test_arg[sec]):
+                raise AttributeError("ERROR")
+
+        try:
+            not_exist = test_arg["NOT EXIST"]
+        except Exception as e:
+            pass
+
+        print("pass config test!")
+
+
+class TestDatasetLoader(unittest.TestCase):
+    def test_case_TokenizeDatasetLoader(self):
+        loader = TokenizeDatasetLoader("cws_pku_utf_8", "./data_for_tests/cws_pku_utf_8")
+        data = loader.load_pku(max_seq_len=32)
+        print("pass TokenizeDatasetLoader test!")
+
+    def test_case_POSDatasetLoader(self):
+        loader = POSDatasetLoader("people", "./data_for_tests/people.txt")
+        data = loader.load()
+        datas = loader.load_lines()
+        print("pass POSDatasetLoader test!")
+
+    def test_case_LMDatasetLoader(self):
+        loader = LMDatasetLoader("cws_pku_utf_8", "./data_for_tests/cws_pku_utf_8")
+        data = loader.load()
+        datas = loader.load_lines()
+        print("pass TokenizeDatasetLoader test!")