This project provides a static dataset of the 10,000 most common English words, ranked by frequency of occurrence and derived from a trillion-word web corpus. The core offering is a frequency-ordered word list that serves as a foundational resource for language analysis, vocabulary study, and text processing.
The dataset is delivered in multiple curated variants to support different use cases. Words are grouped into short, medium, and long categories based on character count while preserving their original frequency ranking. A USA-specific variant focuses on American English usage patterns and spelling conventions. Additionally, a profanity-filtered version is produced by applying a multi-library scrubbing pipeline and a curated blacklist of offensive terms, providing a cleaner output suitable for educational or analytical contexts.
All word lists are provided as static plain-text assets in multiple formats, making the data straightforward to access and integrate into various applications without requiring any runtime dependencies.