|
--- |
|
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. |
|
``` |
