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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:

  1. Location: The country or dependency name.
  2. Population: Total population count.
  3. % of World: The percentage of the world's population this country or dependency represents.
  4. Date: The date of the population estimate.
  5. 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")