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---
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"
}
``` |