docs(readme): Update data/README.md

Added flower icon and formatted note for Flower Partitioner section in README.md

data/README.md

@@ -109,10 +109,13 @@ python generate_data.py -d cifar10 -sm 1 -cn 20
 ```
 <img src="../.github/images/distributions/semantic.png" alt="Image" width="350"/>
 
-## Flower Partitioner
+## Flower Partitioner 🌼
 
-This benchmark also supports external partitioners provided by [flwr_datasets](https://flower.ai/docs/datasets/), enabling the comparison with built-in partitioning schemes and additional schemese that exist in flwr_datasets. To use flwr partitioners, you need to specify the class path of the partitioner you want to use and all its parameters in a seperate dictionary. This is how you would use the DirichletPartitioner from flwr: 
-Attention: To use flwr's partitioners, internally a mock dataset is created that has a column called "label". If the partitioning scheme depends on label information, please insert "label" as the label column.
+This benchmark also supports external partitioners provided by [flwr_datasets](https://flower.ai/docs/datasets/), enabling the comparison with built-in partitioning schemes and additional schemese that exist in flwr_datasets. To use flwr partitioners, you need to specify the class path of the partitioner you want to use and all its parameters in a seperate dictionary. 
+> \[!NOTE\]
+> To use flwr's partitioners, internally a mock dataset is created that has a column called `label`. If the partitioning scheme depends on label information, please insert `label` as the label column.
+
+This is how you would use the `DirichletPartitioner` from flwr: 
 ```shell
  python generate_data.py -d cifar10 -cn 10 -fpc "flwr_datasets.partitioner.DirichletPartitioner" -fpk '{"alpha": 100.0, "partition_by": "label"}'
 ```