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. 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
{
"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"
}