Quote Scrape Dataset

This dataset is a collection of quotes, their authors, and associated tags. It was originally scraped from Quotes_to_Scrape.com and is presented as a small CSV file, making it easy to download and use for both online and offline applications. The dataset is particularly useful for beginners in Natural Language Processing (NLP), offering a practical resource for tasks such as tags extraction, validation, and the development of quote recommendation systems.

The dataset is provided in a CSV file format and is described as a small file. While an exact record count is not available, distribution information suggests approximately 81-90 records. Key authors include Albert Einstein (accounting for 11% of quotes) and J.K. Rowling (9%), with the remaining 80% attributed to a variety of other authors. The tag distribution highlights 'love' (4%) and 'attributed-no-source' (3%), with 92% of tags falling into other categories.

This dataset is ideally suited for practicing Natural Language Processing (NLP), especially for those new to the field. It provides an excellent foundation for tags extraction and validation exercises, and for building and testing quote recommendation systems.

The dataset offers global geographical coverage, drawing from a wide array of quotes. A specific time range for the original data collection is not provided, but the dataset was listed on 22 June 2025. Demographic scope is primarily reflected through the diversity of featured authors.

This dataset is intended for data science and analytics professionals, particularly those focusing on text data. It is highly beneficial for beginners in NLP and anyone interested in conducting text analysis, exploring literary content, or developing AI/LLM-related applications such as content recommendation engines.

Original Data Source: Quotes by Greats - Dataset