Update README.md

README.md

@@ -1,5 +1,16 @@
 ---
 license: mit
+task_categories:
+- feature-extraction
+language:
+- aa
+tags:
+- Optimization
+- Solver
+- Tunner
+pretty_name: BenLOC
+size_categories:
+- 1K<n<10K
 ---
 # Datasets of ML4MOC
 
@@ -38,4 +49,4 @@ This dataset is from [NeurIPS 2021 Competition](https://github.com/ds4dm/ml4co-c
 
 ### Dataset Spliting
 
-Each dataset was split into a training set  $D_{\text{train}}$ and a testing set $D_{\text{test}}$, following an approximate 80-20 split. Moreover, we split the dataset by time and "optimality", which means according to the proportion of optimality for each parameter is similar in training and testing sets. This ensures a balanced representation of both temporal variations and the highest levels of parameter efficiency in our data partitions.
+Each dataset was split into a training set  $D_{\text{train}}$ and a testing set $D_{\text{test}}$, following an approximate 80-20 split. Moreover, we split the dataset by time and "optimality", which means according to the proportion of optimality for each parameter is similar in training and testing sets. This ensures a balanced representation of both temporal variations and the highest levels of parameter efficiency in our data partitions.