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README.md

@@ -88,11 +88,27 @@ Langchain's RecursiveCharacterTextSplitter is used for chunking and the most com
 are replaced with readable equivalents.   The textbooks are then broken into separate subsets, indicated below along with 
 the textbooks they comprise: 
 
-- _*Core Clinical Medicine*_
+- Core Clinical Medicine (_*core_clinical*_)
   - Anatomy_Gray.txt, First_Aid_Step1.txt, First_Aid_Step2.txt, Immunology_Janeway.txt, InternalMed_Harrison.txt, Neurology_Adams.txt, Obstentrics_Williams.txt, Pathoma_Husain.txt, Pediatrics_Nelson.txt, and Surgery_Schwartz.txt 
-- _*Basic Biology*_
+- Basic Biology (_*basic_biology*_)
   - Biochemistry_Lippincott.txt, Cell_Biology_Alberts.txt, Histology_Ross.txt, Pathology_Robbins.txt, and Physiology_Levy.txt 
-- _*Pharmacology*_
+- Pharmacology (_*pharmacology*_)
   - Pharmacology_Katzung.txt 
-- _*Psychiatry*_
-  - Psichiatry_DSM-5.txt
+- Psychiatry (_*psychiatry*_)
+  - Psichiatry_DSM-5.txt
+
+So, you can load the basic biology subset of the corpus via:
+
+```python
+In [1]: import datasets
+In [2]: ds = datasets.load_dataset('cogbuji/medqa_corpus_en', 'basic_biology')
+In [3]: ds 
+Generating train split: 50386 examples [00:00, 92862.56 examples/s]
+Out[3]: 
+DatasetDict({
+    train: Dataset({
+        features: ['text', 'source'],
+        num_rows: 50386
+    })
+})
+```