--- a
+++ b/torchdrug/datasets/bace.py
@@ -0,0 +1,36 @@
+import os
+
+from torchdrug import data, utils
+from torchdrug.core import Registry as R
+
+
+@R.register("datasets.BACE")
+@utils.copy_args(data.MoleculeDataset.load_csv, ignore=("smiles_field", "target_fields"))
+class BACE(data.MoleculeDataset):
+    r"""
+    Binary binding results for a set of inhibitors of human :math:`\beta`-secretase 1(BACE-1).
+
+    Statistics:
+        - #Molecule: 1,513
+        - #Classification task: 1
+
+    Parameters:
+        path (str): path to store the dataset
+        verbose (int, optional): output verbose level
+        **kwargs
+    """
+
+    url = "http://deepchem.io.s3-website-us-west-1.amazonaws.com/datasets/bace.csv"
+    md5 = "ba7f8fa3fdf463a811fa7edea8c982c2"
+    target_fields = ["Class"]
+
+    def __init__(self, path, verbose=1, **kwargs):
+        path = os.path.expanduser(path)
+        if not os.path.exists(path):
+            os.makedirs(path)
+        self.path = path
+
+        file_name = utils.download(self.url, path, md5=self.md5)
+
+        self.load_csv(file_name, smiles_field="mol", target_fields=self.target_fields,
+                      verbose=verbose, **kwargs)
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