Update README.md

README.md

@@ -266,6 +266,17 @@ Introducing IsoBench, a benchmark dataset containing problems from four major ar
 <!-- Address questions around how the dataset is intended to be used. -->
 There are 4 major domains: math, algorithm, game, and science. Each domain has several subtasks. We will show how to load the data for each subtask.
 
+### TL;DR
+There are 10 subtasks in total: `math_breakpoint, math_convexity, math_parity, graph_connectivity, graph_maxflow, graph_isomorphism, winner_id, puzzle, chemistry, physics`. 
+
+You can load a `subtask` via
+
+```python
+from datasets import load_dataset
+ds_subtask = load_dataset('isobench/IsoBench', subtask, split='validation')
+```
+
+
 ### Direct Use
 
 <!-- This section describes suitable use cases for the dataset. -->