Revise YAML in README

README.md

@@ -111,25 +111,11 @@ First, from the command line install the `datasets` library
 then, from within python load the datasets library.
 
     >>> import datasets
-    >>> from datasets import load_dataset, Features, Value
 
-Specifiy column types to prevent pyarrow error.
-```python
-features = Features({
-    "Type": Value("string"),
-    "DatasetName": Value("string"),
-    "AID": Value("int64"),
-    "ID": Value("string"),
-    "IDType": Value("string"),
-    "SMILES": Value("string")
-})
-```
+Now load the 'ChAFF' datasets together,
 
-Now load one of the 'ChAFF' datasets, e.g.,
+    >>> assays = load_dataset("maomlab/ChAFF", split="assays")
 
-    >>> dataset = datasets.load_dataset("maomlab/ChAFF", name = "default", data_files = "data/Absorbance.csv", split = "train", features = features)
-
-
-You can modify "data/Absorbance.csv" based on your interest (e.g., "data/Reactivity.csv"). 
-The default is split = "train" as we did not split the datasets.
+If you are interested in the summary file,
 
+    >>> summary = load_dataset("maomlab/ChAFF", split="summary")