metadata

license: cc-by-4.0
task_categories:
  - text-classification
tags:
  - multi-label-classification
  - web-page-classification
  - natural-language-processing
  - machine-learning
  - dataset
pretty_name: Multi-Label Web Page Classification Dataset
size_categories:
  - 10K<n<100K
dataset_info:
  dataset_creator: tshasan
  source_dataset: CC-Meta25-1M
  total_samples: 14258
  num_categories: 11
  data_format: CSV

Multi-Label Web Page Classification Dataset

Dataset Description

The Multi-Label Web Page Classification Dataset is a curated dataset containing 14,258 web page titles and snippets, extracted from the CC-Meta25-1M dataset. Each entry has been automatically categorized into multiple predefined categories using ChatGPT-4o-mini.

This dataset is designed for multi-label text classification tasks, making it ideal for training and evaluating machine learning models in web content classification and natural language processing (NLP).

Source & Processing

Source: The dataset is derived from CC-Meta25-1M, a multilingual web dataset.
Classification: ChatGPT-4o-mini was used to classify each web page into one or more categories.
Categories: The dataset includes the following 11 categories:
- News
- Entertainment
- Shop
- Chat
- Education
- Government
- Health
- Technology
- Work
- Travel
- Uncategorized (for ambiguous cases)

Each record includes metadata features, such as the number of assigned categories and the text lengths of the title and snippet.

Dataset Structure

Format: CSV

The dataset is provided as a single CSV file with the following columns:

Column Name	Type	Description
`url`	string	Web page URL
`title`	string	Page title
`snippet`	string	Short excerpt of webpage
`language`	string	Language code (e.g., `en`, `cs`, `ru`, `de`)
`category`	string	Comma-separated list of assigned categories
`category_list`	string	List representation of categories (e.g., `["Work", "Education"]`)
`num_categories`	int	Number of assigned categories
`title_length`	int	Character count of the title
`snippet_length`	int	Character count of the snippet

Usage & Applications

This dataset is well-suited for:

Training multi-label text classification models.
Developing content recommendation systems.
Enhancing search engine categorization.
Analyzing web content distributions across languages.

To load the dataset using Hugging Face’s datasets library:

from datasets import load_dataset

dataset = load_dataset("tshasan/multi-label-web-classification")
print(dataset[0])  # Display the first sample

License

This dataset is licensed under CC BY 4.0, allowing free use and modifications with proper attribution.

Acknowledgments

tshasan – for creating the CC-Meta25-1M dataset.
OpenAI – for providing ChatGPT-4o-mini, which powered the classification.
Common Crawl: A large-scale web crawl dataset providing openly available web data.