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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-4.0
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+ ---
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+
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+ # Biomedical Text Publication Classification Dataset
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+
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+ ## Overview
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+ 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.
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+
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+ ## Dataset Structure
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+ The dataset is organized into the following structure:
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+
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+ Cancer_Documents_Classification/
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+ train_data/
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+ category_1/
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+ sample_0.txt
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+ sample_1.txt
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+ ...
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+ category_2/
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+ sample_0.txt
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+ sample_1.txt
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+ ...
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+ test_data/
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+ category_1/
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+ sample_0.txt
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+ sample_1.txt
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+ ...
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+ category_2/
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+ sample_0.txt
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+ sample_1.txt
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+ ...
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+
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+ **Note**: All text file names must be unique across all category folders.
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+
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+ ## Features
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+ - **Tabular Data**: Each text file contains space-separated values representing the features of a sample.
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+ - **Categories**: There are multiple categories, each represented by a separate folder based on the type of publication.
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+
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+ ## Usage
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+ Here is an example of how to load the dataset using PrismRCL:
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+
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+ ```bash
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+ 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
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+ ```
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+
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+ Explanation:
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+ - `C:\PrismRCL\PrismRCL.exe`: classification application
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+ - `chisquared`: training evaluation method
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+ - `rclticks=10`: RCL training parameter
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+ - `boxdown=0`: RCL training parameter
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+ - `data=C:\path\to\Cancer_Documents_Classification\train_data`: path to training data
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+ - `testdata=C:\path\to\Cancer_Documents_Classification\test_data`: path to testing data
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+ - `savemodel=C:\path\to\models\mymodel.classify`: path to save resulting model
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+ - `log=C:\path\to\log_files`: path to logfiles
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+ - `stopwhendone`: ends the PrismRCL session when training is done
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+
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+ ## License
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+ This dataset is licensed under the Creative Commons Attribution 4.0 International License. See the LICENSE file for more details.
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+
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+ ## Original Source
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+ 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.
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+
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+ ## Additional Information
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+ 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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+ ```