Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
 version: 1.0.0
-license: cc0-1.0
+license: cc-by-sa-4.0
 task_categories:
 - tabular-regression
 language:
@@ -11,16 +11,24 @@ size_categories:
 tags:
 - drug discovery
 - bioassay
-dataset_summary: A comprehensive disease and target-based dataset with 1.4 million
-  molecules, collected from PubChem to accelerate molecular machine learning for better
+dataset_summary: >-
+  A comprehensive disease and target-based dataset with 1.4 million molecules,
+  collected from PubChem to accelerate molecular machine learning for better
   drug discovery.
-citation: "@article{KeshavarziArshadi2022,\n title = {MolData,  a molecular benchmark\
-  \ for disease and target based machine learning},\n volume = {14},\n ISSN = {1758-2946},\n\
-  \ url = {http://dx.doi.org/10.1186/s13321-022-00590-y},\n DOI = {10.1186/s13321-022-00590-y},\n\
-  \ number = {1},\n journal = {Journal of Cheminformatics},\n publisher = {Springer\
-  \ Science and Business Media LLC},\n author = {Keshavarzi Arshadi,  Arash and Salem,\
-  \  Milad and Firouzbakht,  Arash and Yuan,  Jiann Shiun},\n year = {2022},\n month\
-  \ = mar \n}"
+citation: |-
+  @article{KeshavarziArshadi2022,
+   title = {MolData,  a molecular benchmark for disease and target based machine learning},
+   volume = {14},
+   ISSN = {1758-2946},
+   url = {http://dx.doi.org/10.1186/s13321-022-00590-y},
+   DOI = {10.1186/s13321-022-00590-y},
+   number = {1},
+   journal = {Journal of Cheminformatics},
+   publisher = {Springer Science and Business Media LLC},
+   author = {Keshavarzi Arshadi,  Arash and Salem,  Milad and Firouzbakht,  Arash and Yuan,  Jiann Shiun},
+   year = {2022},
+   month = mar 
+  }
 dataset_info:
   config_name: MolData
   features:
@@ -72,5 +80,4 @@ We utilized the raw data uploaded on [Github](https://github.com/LumosBio/MolDat
 3. Split the dataset (train, test, validation)
 
 If you would like to try these processes with the original dataset, 
-please follow the instructions in the [Preprocessing Script.py](address) file located in our MolData repository.
-
+please follow the instructions in the [Preprocessing Script.py](address) file located in our MolData repository.