Important detail

examples/utils/get_abide/readme.md

@@ -28,7 +28,7 @@ The `abide.npy` file contains the following contents:
 
 - **timeseries**: Represents the BOLD time series data for each subject. It's a numpy array with the shape (#sub, #ROI, #timesteps).
 
-- > **Label**: Provides the diagnosis label for Autism spectrum disorder for each subject. '0' denotes negative, and '1' indicates positive. It's a numpy array of shape (#sub).
+- > **Label**: Provides the diagnosis label for Autism spectrum disorder for each subject. '0' denotes positive , and '1' indicates negative. It's a numpy array of shape (#sub).
 
 - > **corr**: The correlation matrix calculated from BOLD time series data. It's a numpy array with the shape (#sub, #ROIs, #ROIs).
 
@@ -38,4 +38,4 @@ The `abide.npy` file contains the following contents:
 
 **`Important Note`:** `Label` and `corr matrix` are the actual *inputs* for BrainGB. `Label` represents the target outcome we are interested in predicting, often indicating the diagnosis or condition of a subject in a brain study. `corr matrix` describes the associated Brain Network. If you are considering running BrainGB using your own dataset, it's important to format your Label and corr matrix similarly to ensure compatibility and accurate results. Ensure that `Label` is in a *numpy array* of shape **(#sub)** and `corr matrix` is structured as a *numpy array* with the shape **(#sub, #ROIs, #ROIs)**.
 
-Place the dataset file "abide.npy"  in the `datasets` folder under the `examples` folder (Create the folder if it does not exist).
+Place the dataset file "abide.npy"  in the `datasets` folder under the `examples` folder (Create the folder if it does not exist).