Update README.md

README.md

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----
-license: apache-2.0
----
+---
+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](https://en.wikipedia.org/wiki/List_of_countries_and_dependencies_by_population).
+
+### Licensing
+This dataset is based on data available under the [Creative Commons Attribution-ShareAlike License](https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_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:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("username/dataset_name")
+```