Experimental Machine learning datasets

This curated collection features a short range of diverse text files sourced from various places. The primary goal is to provide you with access to abundant textual content for educational, research, and non-profit purposes.

Usage

Downloading the Text Collection

To download the entire text collection, simply follow these steps:

1. Clone the repository to your local machine:

   git clone https://github.com/FilipCore034/Machine-learning-Datasets.git

2. Navigate to the cloned repository:

   cd Machine-learning-Datasets

Merging Text Files (Optinal)

The repository provides a handy script that enables you to merge all the text files into a single, comprehensive file. To merge the files, follow these steps:

1. Ensure that Python is installed on your machine.

2. Execute the provided script to merge the text files:

   .\merge_files.ps1

   This script combines all the text files in the repository into a single file named merged_text.txt.

3. After the script completes, you will find the merged text file in the repository's root directory (text-collection/merged.txt).

Contributing

Contributions to this text collection are highly appreciated! If you have additional text files that you believe would enrich the collection, please follow these guidelines:

Fork the repository and create a new branch for your contributions.

Organize your text files by placing them in the appropriate category or creating a new category if needed.

Submit a pull request, providing a detailed explanation of the changes you made and why they should be included.

Your contributions will help expand the collection and make it even more valuable for the community.

Potential Uses

The Text Collection can serve various purposes, including:

Language modeling and natural language processing research

Training machine learning models for text generation

Educational and academic studies

Data analysis and visualization projects

Generating test data for software development and testing

Disclaimer

The content provided in this collection is sourced from various places and is intended for non-profit, educational, and informational purposes only. The repository owner does not claim ownership of the content and assumes no responsibility for any usage beyond these stated purposes.