--- license: apache-2.0 task_categories: - text-classification - translation - text-generation - summarization language: - en tags: - scrapy - pandas - datasets size_categories: - n<1K --- --- # World Heavyweight Boxing Champions Dataset This dataset contains information about world heavyweight boxing champions extracted from the [Wikipedia page](https://en.wikipedia.org/wiki/List_of_world_heavyweight_boxing_champions). It includes details such as champion names, reign periods, and title defenses. ## Dataset Structure ### Columns | Column Name | Description | |-----------------------|-------------------------------------------------------| | `No` | The ordinal number of the champion. | | `Champion` | Name of the heavyweight boxing champion. | | `Recognition` | The organization or title under which the reign was recognized. | | `Begin_reign` | The date the reign began (YYYY-MM-DD format). | | `End_reign` | The date the reign ended (YYYY-MM-DD format). | | `Days` | The total number of days in the reign. | | `Title_defenses` | The number of title defenses during the reign. | | `Additional_recognition` | Other notable details about the champion or reign. | ### Who are the source Data producers ? The data is machine-generated (using web scraping) and subjected to human additional treatment. below, I provide the script I created to scrape the data (as well as my additional treatment): ``` import scrapy import re class ChampionsSpider(scrapy.Spider): name = "champions" start_urls = [ "https://en.wikipedia.org/wiki/List_of_world_heavyweight_boxing_champions" ] def parse(self, response): # Locate the second table on the page table = response.xpath('(//table[contains(@class, "wikitable")])[2]') rows = table.xpath('.//tr') def clean_text(text): """Remove special characters, extra whitespace, and newlines.""" if text: text = re.sub(r'\s+', ' ', text) # Replace multiple spaces/newlines with a single space text = text.strip() # Remove leading and trailing spaces return text return None for row in rows[1:]: # Skip the header row yield { "No": clean_text(row.xpath('.//td[1]//text()').get()), "Champion": clean_text(row.xpath('.//td[2]//text()').get()), "Recognition": clean_text(row.xpath('.//td[3]//text()').get()), "Begin_reign": clean_text(row.xpath('.//td[4]//text()').get()), "End_reign": clean_text(row.xpath('.//td[5]//text()').get()), "Days": clean_text(row.xpath('.//td[6]//text()').get()), "Title_defenses": clean_text(row.xpath('.//td[7]//text()').get()), "Additional_recognition": clean_text(row.xpath('.//td[8]//text()').get()), } ``` ### Dataset Creation - Source: Data was scraped from the Wikipedia page using a Python Scrapy script. - Cleaning: Special characters and extra whitespace were removed to ensure a clean dataset. ### Usage This dataset can be used for: - Sports Analysis: Analyze trends in boxing history. - Historical Research: Study the evolution of world heavyweight boxing champions. - Data Analysis: Perform statistical analysis on reign durations and title defenses. ### License The dataset is derived from content licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License (CC BY-SA 3.0). ### Limitations The dataset is limited to the information available on Wikipedia as of the scraping date. Some rows might contain incomplete or approximate data due to the source material. ### Acknowledgments Special thanks to Wikipedia contributors for compiling the original data. ### Example Row ```json { "No": "1", "Champion": "Bob Fitzsimmons", "Recognition": "World", "Begin_reign": "1897-03-17", "End_reign": "1899-06-09", "Days": "815", "Title_defenses": "2", "Additional_recognition": "First three-division champion" } ```