Update README.md

README.md

@@ -90,11 +90,11 @@ pykeen.datasets.has_dataset('primekg')
 
 ## Building an updated PrimeKG
 
-#### Downloading primary data resources
+### Downloading primary data resources
 
 All persistent identifiers and weblinks to download the 20 primary data resources used to build PrimeKG are systematically provided in the Data Records section of our article. We have also mentioned the exact filenames that were downloaded from each resource for easy corroboration. 
 
-#### Curating primary data resources
+### Curating primary data resources
 
 We provide the scripts used to process all primary data resources and the names of the resulting output files generated by those scripts. We would be happy to share the intermediate processing datasets that were used to create PrimeKG on request. 
 
@@ -119,26 +119,14 @@ UBERON | uberon.py | uberon_terms.csv, uberon_rels.csv, uberon_is_a.csv
 UMLS | umls.py, map_umls_mondo.py | umls_mondo.csv
 UMLS | umls.ipynb | umls_def_disorder_2021.csv, umls_def_disease_2021.csv
 
-#### Harmonizing datasets into PrimeKG
+### Harmonizing datasets into PrimeKG
 
 The code to harmonize datasets and construct PrimeKG is available at `build_graph.ipynb`. Simply run this jupyter notebook in order to construct the knowledge graph form the outputs of the processing files mentioned above. This jupyter notebook produces all three versions of PrimeKG, `kg_raw.csv`, `kg_giant.csv`, and the complete version  `kg.csv`. 
 
-#### Feature extraction
+### Feature extraction
 
 The code required to engineer features can be found at `engineer_features.ipynb` and `mapping_mayo.ipynb`. 
 
-<!-- 
-#### Dataset Splits
-
-To retrieve the training/validation/test dataset split, you could simply type
-```python 
-data = X(name = Y)
-data.get_split(seed = 42)
-# {'train': df_train, 'val': df_val, 'test': df_test}
-```
-You can specify the splitting method, random seed, and split fractions in the function by e.g. `data.get_split(method = 'scaffold', seed = 1, frac = [0.7, 0.1, 0.2])`. Check out the [data split page](https://zitniklab.hms.harvard.edu/TDC/functions/data_split/) on the website for details.
--->
-
 ## Cite Us
 
 If you find PrimeKG useful, cite our work: