README.md

metadata

license: mit

CoLA Text Classification RCL Dataset

Overview

This dataset contains textual data structured explicitly for standard text classification tasks using Lumina AI's Random Contrast Learning (RCL) algorithm via the PrismRCL application. Unlike LLM datasets, standard text classification datasets contain individual .txt files organized by class.

Dataset Structure

The dataset structure for text classification training:

CoLA.Classification/
    train/
        [class_1]/
            sample_001.txt
            sample_002.txt
            ...
        [class_2]/
            sample_001.txt
            sample_002.txt
            ...
    test/
        [class_1]/
            sample_001.txt
            sample_002.txt
            ...
        [class_2]/
            sample_001.txt
            sample_002.txt
            ...

• Classes: Folder names represent distinct text classes.
• Text Samples: Each .txt file represents a single textual data sample.

Text Data Preparation

For standard text classification datasets, PrismRCL has specific preparation requirements:

• Text samples must be in .txt format.
• Each file should contain a single data sample.
• File names must be unique across all class folders.

Usage (Text Classification-specific)

Use PrismRCL for training with text data:

C:\PrismRCL\PrismRCL.exe naivebayes rclticks=10 directional ^
  data=C:\path\to\CoLA.Classification\train testdata=C:\path\to\CoLA.Classification\test ^
  savemodel=C:\path\to\models\cola_text_model.classify ^
  log=C:\path\to\log_files stopwhendone

Explanation of Command

• naivebayes: Specifies Naive Bayes as the evaluation method for text classification.
• rclticks: Number of RCL iterations during training.
• directional: Maintains the order of words, essential for text classification.
• data & testdata: Paths to training and testing text datasets.
• savemodel: Output path for the trained classification model.
• log: Directory for storing log files.
• stopwhendone: Automatically terminates the session after training completion.

License

This dataset is licensed under the MIT License.

Original Source

Prepared explicitly by Lumina AI for RCL-based text classification training. Please credit Lumina AI when using this dataset in research or applications.

Additional Information

Refer to the PrismRCL Technical Documentation v2.6.2 for more detailed guidance on text classification data preparation and parameter specifications.