--- a
+++ b/torchdrug/datasets/zinc250k.py
@@ -0,0 +1,37 @@
+import os
+
+from torchdrug import data, utils
+from torchdrug.core import Registry as R
+
+
+@R.register("datasets.ZINC250k")
+@utils.copy_args(data.MoleculeDataset.load_csv, ignore=("smiles_field", "target_fields"))
+class ZINC250k(data.MoleculeDataset):
+    """
+    Subset of ZINC compound database for virtual screening.
+
+    Statistics:
+        - #Molecule: 498,910
+        - #Regression task: 2
+
+    Parameters:
+        path (str): path to store the dataset
+        verbose (int, optional): output verbose level
+        **kwargs
+    """
+
+    url = "https://raw.githubusercontent.com/aspuru-guzik-group/chemical_vae/master/models/zinc_properties/" \
+          "250k_rndm_zinc_drugs_clean_3.csv"
+    md5 = "b59078b2b04c6e9431280e3dc42048d5"
+    target_fields = ["logP", "qed"]
+
+    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="smiles", target_fields=self.target_fields,
+                      verbose=verbose, **kwargs)
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