Update README.md
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README.md
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@@ -38,7 +38,7 @@ This dataset contains information about world heavyweight boxing champions extra
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The data is machine-generated (using web scraping) and subjected to human additional treatment.
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below, I provide the script I created to scrape the data (as well as my additional treatment):
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-
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import scrapy
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import re
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@@ -72,7 +72,7 @@ class ChampionsSpider(scrapy.Spider):
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"Title_defenses": clean_text(row.xpath('.//td[7]//text()').get()),
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"Additional_recognition": clean_text(row.xpath('.//td[8]//text()').get()),
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}
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### Dataset Creation
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- Source: Data was scraped from the Wikipedia page using a Python Scrapy script.
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- Cleaning: Special characters and extra whitespace were removed to ensure a clean dataset.
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@@ -105,4 +105,5 @@ Special thanks to Wikipedia contributors for compiling the original data.
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"Days": "815",
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"Title_defenses": "2",
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"Additional_recognition": "First three-division champion"
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}
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The data is machine-generated (using web scraping) and subjected to human additional treatment.
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below, I provide the script I created to scrape the data (as well as my additional treatment):
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```
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import scrapy
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import re
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"Title_defenses": clean_text(row.xpath('.//td[7]//text()').get()),
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"Additional_recognition": clean_text(row.xpath('.//td[8]//text()').get()),
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}
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```
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### Dataset Creation
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- Source: Data was scraped from the Wikipedia page using a Python Scrapy script.
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- Cleaning: Special characters and extra whitespace were removed to ensure a clean dataset.
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"Days": "815",
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"Title_defenses": "2",
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"Additional_recognition": "First three-division champion"
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}
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```
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