Update README.md

README.md

@@ -1,3 +1,61 @@
----
-license: mit
----
+---
+license: cc-by-4.0
+---
+## 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
+            ...
+**Note**: All text file names must be unique across all class folders.
+
+## Features
+- **Tabular Data**: Each text file contains space-separated values representing the features of a sample.
+- **Classes**: There are multiple classes, each represented by a separate folder based on the type of glass.
+
+## Usage
+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
+
+This dataset is licensed under the Creative Commons Attribution 4.0 International License. See the LICENSE file for more details.
+
+##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.