Update README.md

README.md

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----
-license: apache-2.0
----
+---
+license: cc-by-sa-3.0
+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"
+}
+