Event Extraction Andersen's Fairy Tales

The data collection process consisted of compiling texts from three main online platforms: Project Gutenberg (https://www.gutenberg.org/cache/epub/1597/pg1597-images.html ), Andersen Stories (https://www.andersenstories.com/en/andersen_fairy-tales/list ), and the HCA Gilead website (http://hca.gilead.org.il/ ). These resources offered digitized editions of Hans Christian Andersen’s fairy tales, including multiple translations and versions. The texts were gathered using web scraping and text extraction methods. Python tools such as BeautifulSoup were utilized to extract content from HTML, while Pandas was used for organizing and cleaning the collected data. The selection criteria emphasized the relevance to Andersen’s original stories, availability in English, and the completeness of the texts. To normalize the data, HTML tags were removed, titles were made consistent, and the texts were divided into sentences or organized into structured formats based on events (Subject-Verb-Object-Temporal-Location). The datasets are freely available and legally sourced from open-domain websites that offer unrestricted access to literary works, ensuring adherence to copyright and usage regulations.