TreeCorpusCleaned

TreeCorpusCleaned is a modestly improved version of the TreeCorpus dataset with some additional basic cleaning to help reduce Wikipedia markup artifacts. This dataset provides a slightly cleaner version of Wikipedia content for training AI models.

Dataset Statistics

• Size: 26.27 GB (26,272,580,250 bytes)
• Examples: 2,882,766 articles
• Download Size: 13.33 GB (13,326,529,312 bytes)
• Language: English

Data Structure

Each entry in the dataset contains:

• id (string): Unique Wikipedia article identifier
• title (string): Article title
• text (string): Text with basic additional cleanup
• url (string): Source Wikipedia URL
• timestamp (string): Processing timestamp

Basic Additional Cleaning

TreeCorpusCleaned includes some simple improvements over the original TreeCorpus:

• Basic Reference Cleanup: Additional removal of common reference markers
• Simple Template Handling: Some extra template cleanup
• Formatting Standardization: Basic text formatting standardization

Usage

This dataset is suitable for:

• Training language models with slightly cleaner Wikipedia text
• NLP tasks that benefit from reduced markup artifacts
• Projects requiring basic preprocessing of Wikipedia content

License and Citation

TreeCorpusCleaned is derived from Wikipedia content available under the CC BY-SA 3.0 license. When using this dataset, please provide appropriate attribution to both this dataset and Wikipedia.

Dataset Configuration

The dataset is configured with a default split:

• Split name: train
• Data files pattern: data/train-*

Creation Process

TreeCorpusCleaned was created by applying some additional basic cleaning steps to the original TreeCorpus dataset to remove common artifacts and improve text quality.