---
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
      ...

**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 (pre-split; optimal parameters)
Here is an example of how to load the dataset using PrismRCL:

```bash
C:\PrismRCL\PrismRCL.exe chisquared rclticks=18 boxdown=1 channelpick=5 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=18`: RCL training parameter
- `boxdown=1`: RCL training parameter
- channelpick=5 : 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.