---
license: cc-by-4.0
---

# Biomedical Text Publication Classification Dataset

## Overview
This dataset contains text data for classifying biomedical publications. 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:

Cancer_Documents_Classification/
  train_data/
    category_1/
      sample_0.txt
      sample_1.txt
      ...
    category_2/
      sample_0.txt
      sample_1.txt
      ...
  test_data/
    category_1/
      sample_0.txt
      sample_1.txt
      ...
    category_2/
      sample_0.txt
      sample_1.txt
      ...

**Note**: All text file names must be unique across all category folders.

## Features
- **Tabular Data**: Each text file contains space-separated values representing the features of a sample.
- **Categories**: There are multiple categories, each represented by a separate folder based on the type of publication.

## 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\Cancer_Documents_Classification\train_data testdata=C:\path\to\Cancer_Documents_Classification\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\Cancer_Documents_Classification\train_data`: path to training data
- `testdata=C:\path\to\Cancer_Documents_Classification\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 [Kaggle Dataset Repository](https://www.kaggle.com/datasets/falgunipatel19/biomedical-text-publication-classification/data). 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.
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