Update README.md

README.md

@@ -45,7 +45,7 @@ Data loaders can be found [here](https://github.com/pnnl/ML4AlgComb/tree/master/
 weaving pattern matrices and non-weaving pattern matrices. These should be more efficient than the 
 \\(O(n^2\\) algorithm that can be found in the references above.
 
-**ML task:** Train a model to classify whether a \\(\{1, 2, . . . , n\}\\)-
+**ML task:** Train a model to classify whether a \\(\{1, 2, . . . , 7\}\\)-
 matrix is a weaving pattern or not. This task is framed as
 binary classification. Extract mathematical insights from a performant model.
 
@@ -66,7 +66,7 @@ The \\(\pm\\) signs indicate 95% confidence intervals from random weight initial
 
 ### Dataset Sources
 
-Data generation scripts can be found [here](https://github.com/pnnl/ML4AlgComb/tree/master/symmetric_group_character).
+Data generation scripts can be found [here](https://github.com/pnnl/ML4AlgComb/tree/master/weaving_patterns).
 
 - **Repository:** [ACD Repo](https://github.com/pnnl/ML4AlgComb/tree/master/weaving_patterns)
   
@@ -86,9 +86,7 @@ None.
 
 ## Dataset Structure
 
-Each matrix is stored on a single line in row-major format. For instance,
-
-`(0, 1, 2, 3, 3, 2, 3, 4, 2, 3, 2, 1, 5, 4, 3, 2)`
+Each matrix is stored on a single line in row-major format (see example above).
 
 ## Dataset Creation