Update README.md

README.md

@@ -11,4 +11,32 @@ tags:
 pretty_name: MoleculeNet SIDER
 size_categories:
 - 1K<n<10K
----
+---
+
+# MoleculeNet SIDER
+
+Load and return the SIDER (Side Effect Resource) dataset [[1]](#1), part of MoleculeNet [[2]](#2) benchmark. It is intended to be used through 
+[scikit-fingerprints](https://github.com/scikit-fingerprints/scikit-fingerprints) library.
+
+The task is to predict adverse drug reactions (ADRs) as drug side effects to 27 system organ classes in MedDRA classification. All tasks are binary.
+
+| **Characteristic** |      **Description**     |
+|:------------------:|:------------------------:|
+|        Tasks       |            12            |
+|      Task type     | multitask classification |
+|    Total samples   |           7831           |
+|  Recommended split |         scaffold         |
+| Recommended metric |           AUROC          |
+
+## References
+<a id="1">[1]</a> 
+Han Altae-Tran et al.
+"Low Data Drug Discovery with One-Shot Learning"
+ACS Cent. Sci. 2017, 3, 4, 283–293
+https://pubs.acs.org/doi/10.1021/acscentsci.6b00367
+
+<a id="2">[2]</a> 
+Wu, Zhenqin, et al.
+"MoleculeNet: a benchmark for molecular machine learning."
+Chemical Science 9.2 (2018): 513-530
+https://pubs.rsc.org/en/content/articlelanding/2018/sc/c7sc02664a