---
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 (not pre-split; optimal parameters)
Here is an example of how to load the dataset using PrismRCL:
```bash
C:\PrismRCL\PrismRCL.exe chisquared rclticks=15 boxdown=0 channelpick=5 data=C:\path\to\Cancer_Documents_Classification_mm testsize=0.1 savemodel=C:\path\to\models\mymodel.classify log=C:\path\to\log_files stopwhendone
```

Explanation of Command:
- `C:\PrismRCL\PrismRCL.exe`: Path to the PrismRCL executable for classification
- `chisquared`: Specifies Chi-squared as the training evaluation method
- `rclticks=15`: Sets the number of RCL iterations during training to 15
- `boxdown=0`: Configuration parameter for training behavior
- `channelpick=5`: RCL training parameter
- `data=C:\path\to\Cancer_Documents_Classification_mm`: Path to the complete dataset for Cancer Documents Classification
- `testsize=0.1`: Specifies that 10% of the data should be used for testing
- `savemodel=C:\path\to\models\mymodel.classify`: Path to save the resulting trained model
- `log=C:\path\to\log_files`: Directory path for storing log files of the training process
- `stopwhendone`: Instructs PrismRCL to end the session once training is complete

## 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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