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Inspirational Quotes Collection
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides a collection of inspirational quotes, meticulously scraped from quotes.toscrape.com, a website specifically designed for web scraping practice. It offers a structured compilation of quote texts, the names of their authors, and associated tags, making it ideal for various data analysis and text processing applications. The dataset serves as a valuable resource for understanding the characteristics of quotes, exploring authorship patterns, and analysing thematic content through tags.
Columns
The dataset is structured with the following key columns:
- Quote: Contains the full text of the inspirational quote.
- Author: Provides the name of the individual to whom the quote is attributed. Authors like Albert Einstein and J.K. Rowling are represented, with diverse representation for others.
- Tags: Includes descriptive keywords or categories associated with each quote, such as 'love' or 'attributed-no-source'. There are 50 unique tag values within the collection.
Distribution
The dataset is available as a data file, typically in CSV format. While specific numbers for rows or records are not explicitly provided, the collection includes quotes with author distributions such as Albert Einstein accounting for 16% of authors and J.K. Rowling for 12%. Tags like 'love' constitute 6% of the tag occurrences, while 'attributed-no-source' represents 4%. The dataset is listed as version 1.0, with a global region coverage, and is assessed to have a quality rating of 5 out of 5.
Usage
This dataset is particularly well-suited for a range of applications, including:
- Practising web scraping techniques using the original source website.
- Data science and analytics projects focused on text data.
- Natural Language Processing (NLP) tasks such as text classification, topic modelling, and sentiment analysis on quote content.
- Literary analysis and studies of famous authors' works.
- Developing and testing machine learning models that process textual information.
Coverage
The dataset's coverage is global, encompassing a wide array of inspirational quotes without specific geographic limitations for the quotes themselves. The content covers a range of authors and themes as reflected by the tags. It does not provide specific notes on data availability for certain groups or years, but it focuses on quotes from notable authors and general tags.
License
CCO
Who Can Use It
This dataset is intended for a broad audience, including:
- Data scientists and data analysts for text-based insights.
- NLP engineers and researchers working on language models.
- Students and developers learning or practising web scraping.
- Academics interested in literary studies or social science research involving quote analysis.
- Anyone requiring textual data for AI and ML applications.
Dataset Name Suggestions
- Inspirational Quotes Collection
- Quotable Authors Dataset
- Web Scraping Practice Quotes
- Famous Quotes Anthology
- Textual Quote Repository
Attributes
Original Data Source: Quotes_Dataset
QUALITY