diff --git a/README.md b/README.md
index 99cb3ad..33f84d8 100644
--- a/README.md
+++ b/README.md
@@ -158,7 +158,7 @@ Datasets
 More broad statistics are provided in `dataset_statistics.csv`. You can also get a pandas DataFrame with statistics for specific datasets for example to create tables for publications:
 ```
 >>> ds = MovieGraphBenchmark(graph_pair="multi")
->>> from sylloge import create_statistics_df
+>>> from sylloge.create_statistic import create_statistics_df
 >>> stats_df = create_statistics_df([ds])
 >>> stats_df.loc[("MovieGraphBenchmark","moviegraphbenchmark_multi","imdb")]
                                                             Entities  Relation Triples  Attribute Triples  ...  Clusters  Intra-dataset Matches  All Matches
diff --git a/sylloge/__init__.py b/sylloge/__init__.py
index c7915d5..76725ff 100644
--- a/sylloge/__init__.py
+++ b/sylloge/__init__.py
@@ -11,7 +11,6 @@
     ZipEADataset,
     ZipEADatasetWithPreSplitFolds,
 )
-from .create_statistic import create_statistics_df
 from .id_mapped import IdMappedEADataset
 from .med_bbk_loader import MED_BBK
 from .moviegraph_benchmark_loader import MovieGraphBenchmark
@@ -35,7 +34,6 @@
     "BinaryZipEADatasetWithPreSplitFolds",
     "ZipEADatasetWithPreSplitFolds",
     "TrainTestValSplit",
-    "create_statistics_df",
 ]
 __version__ = version(__package__)
 logging.getLogger(__name__).setLevel(logging.INFO)