diff --git a/README.md b/README.md
index a6a2b79..508fa25 100644
--- a/README.md
+++ b/README.md
@@ -45,8 +45,9 @@ or install from source code:
 
 ```python
 import tsdb
+
 tsdb.list_available_datasets()  # list all available datasets in TSDB
-data = tsdb.load_specific_dataset('physionet_2012')  # select the dataset you need and load it, TSDB will download, extract, and process it automatically
+data = tsdb.load_dataset('physionet_2012')  # select the dataset you need and load it, TSDB will download, extract, and process it automatically
 tsdb.download_and_extract('physionet_2012', './save_it_here')  # if you need the raw data, use download_and_extract()
 tsdb.list_cached_data()  # datasets you once loaded are cached, and you can check them with list_cached_data()
 tsdb.delete_cached_data()  # you can delete all cache with delete_cached_data() to free disk space
diff --git a/tsdb/__init__.py b/tsdb/__init__.py
index 0feda1e..558d5b6 100644
--- a/tsdb/__init__.py
+++ b/tsdb/__init__.py
@@ -11,7 +11,7 @@
 from .data_processing import (
     window_truncate,
     download_and_extract,
-    load_specific_dataset,
+    load_dataset,
     delete_cached_data,
     list_cached_data,
     CACHED_DATASET_DIR,
diff --git a/tsdb/data_processing.py b/tsdb/data_processing.py
index 78c97ed..567fee7 100644
--- a/tsdb/data_processing.py
+++ b/tsdb/data_processing.py
@@ -221,7 +221,7 @@ def pickle_load(path):
     return data
 
 
-def load_specific_dataset(dataset_name, use_cache=True):
+def load_dataset(dataset_name, use_cache=True):
     """ Load dataset with given name.
 
     Parameters
diff --git a/tsdb/tests/test_tsdb.py b/tsdb/tests/test_tsdb.py
index 15b86d0..d8bac2b 100644
--- a/tsdb/tests/test_tsdb.py
+++ b/tsdb/tests/test_tsdb.py
@@ -25,7 +25,7 @@ def test_available_datasets(self):
 
     def test_dataset_loading(self):
         for d_ in DATASETS_TO_TEST:
-            data = tsdb.load_specific_dataset(d_)
+            data = tsdb.load_dataset(d_)
             assert isinstance(data, dict)
 
     def test_downloading_only(self):