metadata
license: apache-2.0
task_categories:
- text-classification
- summarization
- text-generation
language:
- en
tags:
- scrapy
- pandas
- datasets
size_categories:
- n<1K
List of Countries and Dependencies by Population
This dataset contains population-related information for countries and dependencies, scraped from Wikipedia. The dataset includes the following columns:
- Location: The country or dependency name.
- Population: Total population count.
- % of World: The percentage of the world's population this country or dependency represents.
- Date: The date of the population estimate.
- Source: Whether the source is official or derived from the United Nations.
Dataset Summary
This dataset provides a comprehensive overview of population statistics by country and dependency. It is ideal for researchers, data scientists, and analysts who need accurate and up-to-date population data.
Dataset Features:
- Location: Textual description of the country or territory.
- Population: Integer value representing the population size.
- % of World: Float representing the percentage of the world's total population.
- Date: The date on which the population estimate was recorded.
- Source: A textual description of the data source (e.g., United Nations or official national statistics).
Source
The dataset was scraped from the Wikipedia page: List of countries and dependencies by population.
Licensing
This dataset is based on data available under the Creative Commons Attribution-ShareAlike License.
Splits
The dataset has one split:
train
: Contains all records from the table (approximately 200 entries).
Examples
Here's a sample record from the dataset:
Location | Population | % of World | Date | Source |
---|---|---|---|---|
China | 1,411,778,724 | 17.82% | 2023-01-01 | Official national data |
India | 1,393,409,038 | 17.59% | 2023-01-01 | United Nations estimate |
Tuvalu | 11,931 | 0.00015% | 2023-01-01 | United Nations estimate |
Usage
You can load this dataset using the Hugging Face datasets
library:
from datasets import load_dataset
dataset = load_dataset("username/dataset_name")