Update README.md

README.md

@@ -1,30 +1,34 @@
 ---
 license: cc-by-4.0
 ---
+# Glass Identification Dataset
+
 ## Overview
 This dataset contains tabular data for classifying different types of glass based on their chemical properties. Each sample is stored in a separate text file, with features space-separated on a single line. The dataset is structured to be compatible with Lumina AI's Random Contrast Learning (RCL) algorithm via the PrismRCL application or API.
 
 ## Dataset Structure
 The dataset is organized into the following structure:
+
 Glass-Identification/
-    train_data/
-        class_1/
-            sample_0.txt
-            sample_1.txt
-            ...
-        class_2/
-            sample_0.txt
-            sample_1.txt
-            ...
-    test_data/
-        class_1/
-            sample_0.txt
-            sample_1.txt
-            ...
-        class_2/
-            sample_0.txt
-            sample_1.txt
-            ...
+  train_data/
+    class_1/
+      sample_0.txt
+      sample_1.txt
+      ...
+    class_2/
+      sample_0.txt
+      sample_1.txt
+      ...
+  test_data/
+    class_1/
+      sample_0.txt
+      sample_1.txt
+      ...
+    class_2/
+      sample_0.txt
+      sample_1.txt
+      ...
+
 **Note**: All text file names must be unique across all class folders.
 
 ## Features
@@ -36,26 +40,24 @@ Here is an example of how to load the dataset using PrismRCL:
 
 ```bash
 C:\PrismRCL\PrismRCL.exe chisquared rclticks=10 boxdown=0 data=C:\path\to\Glass-Identification\train_data testdata=C:\path\to\Glass-Identification\test_data savemodel=C:\path\to\models\mymodel.classify log=C:\path\to\log_files stopwhendone
+```
 
 Explanation:
-  C:\PrismRCL\PrismRCL.exe: classification application
-  chisquared: training evaluation method
-  rclticks=10: RCL training parameter
-  boxdown=0: RCL training parameter
-  data=C:\path\to\Glass-Identification\train_data: path to training data
-  testdata=C:\path\to\Glass-Identification\test_data: path to testing data
-  savemodel=C:\path\to\models\mymodel.classify: path to save resulting model
-  log=C:\path\to\log_files: path to logfiles
-  stopwhendone: ends the PrismRCL session when training is done
-
-##License
-
+- `C:\PrismRCL\PrismRCL.exe`: classification application
+- `chisquared`: training evaluation method
+- `rclticks=10`: RCL training parameter
+- `boxdown=0`: RCL training parameter
+- `data=C:\path\to\Glass-Identification\train_data`: path to training data
+- `testdata=C:\path\to\Glass-Identification\test_data`: path to testing data
+- `savemodel=C:\path\to\models\mymodel.classify`: path to save resulting model
+- `log=C:\path\to\log_files`: path to logfiles
+- `stopwhendone`: ends the PrismRCL session when training is done
+
+## License
 This dataset is licensed under the Creative Commons Attribution 4.0 International License. See the LICENSE file for more details.
 
-##Original Source
-
+## Original Source
 This dataset was originally sourced from the [UCI Machine Learning Repository](https://archive.ics.uci.edu/dataset/42/glass+identification). Please cite the original source if you use this dataset in your research or applications.
 
-##Additional Information
-
-The data values have been prepared to ensure compatibility with PrismRCL. No normalization is required as of version 2.4.0.
+## Additional Information
+The data values have been prepared to ensure compatibility with PrismRCL. No normalization is required as of version 2.4.0.