High-Quality Global Tweet Dataset

This dataset features 6,000 high-quality tweets, originally collected by Khuyen Tran. Each row contains a tweet in its raw, unprocessed form, without author details. These long, multi-sentence tweets are particularly well-suited for illustrating machine learning models, such as those used for topic extraction. The data is part of the Telecommunications & Network Data category, ideal for tasks involving text and messaging analytics.

The dataset primarily consists of a single textual column, representing the raw, unprocessed tweet content.

The dataset comprises 6,000 individual tweets, with each tweet representing a unique value. The data is typically provided in a CSV file format. Specific details on data file size in bytes are not available, but the record count is precisely 6,000.

This dataset is an excellent resource for developing and testing Natural Language Processing (NLP) models, particularly for tasks like topic extraction and clustering. It is also valuable for research and development in social media analytics and text-based machine learning applications.

The dataset's coverage is global. The tweets themselves do not have explicit geographic or demographic scope detailed within the provided sources, and author information is not included. The dataset was listed on 27/06/2025.

This dataset is ideal for data scientists, machine learning engineers, researchers, and developers working on NLP projects. It can be used by anyone needing raw, high-quality social media text for model training, algorithm development, or academic study, particularly within areas like text analytics, sentiment analysis, or identifying emerging themes.

Original Data Source: 6k high-quality tweets, courtesy of Khuyen Tran.