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license: cc-by-4.0 |
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# Biomedical Text Publication Classification Dataset |
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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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## Dataset Structure |
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The dataset is organized into the following structure: |
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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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**Note**: All text file names must be unique across all category folders. |
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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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## Usage (not pre-split; optimal parameters) |
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Here is an example of how to load the dataset using PrismRCL: |
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```bash |
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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``` |
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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=15`: 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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## 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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## 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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## 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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