Update README.md

README.md

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----
-license: mit
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+---
+license: cc-by-4.0
+---
+
+# Ionosphere Signals Dataset
+## Overview
+This dataset contains tabular data for classifying radar returns from the ionosphere. 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:
+
+Ionosphere-Signals/
+  train_data/
+    class_good/
+      sample_0.txt
+      sample_1.txt
+      ...
+    class_bad/
+      sample_0.txt
+      sample_1.txt
+      ...
+  test_data/
+    class_good/
+      sample_0.txt
+      sample_1.txt
+      ...
+    class_bad/
+      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 two classes, each represented by a separate folder based on the type of radar return.
+
+## 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\Ionosphere-Signals\train_data testdata=C:\path\to\Ionosphere-Signals\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\Ionosphere-Signals\train_data`: path to training data
+- `testdata=C:\path\to\Ionosphere-Signals\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/52/ionosphere). Please cite the original source if you use this dataset in your research or applications.
+
+```
+Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [https://archive.ics.uci.edu/dataset/52/ionosphere]. Irvine, CA: University of California, School of Information and Computer Science.
+```
+
+## Additional Information
+The data values have been prepared to ensure compatibility with PrismRCL. No normalization is required as of version 2.4.0.
+
+
+