Update README.md

README.md

@@ -201,9 +201,9 @@ IsoBench is designed with two objectives, which are:
 #### Mathematics
 There are three mathematics tasks. Each task is structured as a classification problem and each class contains 128 samples.
 
-- Parity implements a ternary classification problem. A model has to classify an input function into an even function, odd function, or neither.
-- Convexity implements a binary classification problem for a model to classify an input function as convex or concave. **Note**: some functions are only convex (resp. concave) within a certain domain (*e.g.* `x > 0`), which is reported in the `xlim` field of each sample. We recommend providing this information as part of the prompt!
-- Breakpoint counts the number of breakpoints (*i.e.* intersections of a piecewise linear function). Each function contains either 2 or 3 breakpoints, which renders this task a binary classification problem.
+- **Parity** implements a ternary classification problem. A model has to classify an input function into an even function, odd function, or neither.
+- **Convexity** implements a binary classification problem for a model to classify an input function as convex or concave. **Note**: some functions are only convex (resp. concave) within a certain domain (*e.g.* `x > 0`), which is reported in the `xlim` field of each sample. We recommend providing this information as part of the prompt!
+- **Breakpoint** counts the number of breakpoints (*i.e.* intersections of a piecewise linear function). Each function contains either 2 or 3 breakpoints, which renders this task a binary classification problem.
 
 ```python
 from datasets import load_dataset