Update README.md

README.md

@@ -1,8 +1,8 @@
----
-license: mit
-tags:
-- chemistry
----
+---
+license: mit
+tags:
+- chemistry
+---
 Here is the dataset used in paper `Scalable Machine Learning Force Fields for Macromolecular Systems Through Long-Range Aware Message Passing` [[link](URL地址)].
 
 The data is stored in lmdb formate. Taking `md_traj` data as an example, you can load the data as following:
@@ -34,4 +34,8 @@ For Di-Molecule dataset, there are additional properties:
  'mol_b',             # The pubchem id of the molecule B
  'distance',          # The horizontal distance between the right-most atom of A and the left-most atom of B, unit in Angstrom
 ...]
-```
+```
+
+More details can be found in the original paper.
+
+Code Link: [IQuestLab/E2Former](https://github.com/IQuestLab/E2Former).