---
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:

```python
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](https://huggingface.co/datasets/tshasan/CC-Meta25-1M).
- **OpenAI** – for providing ChatGPT-4o-mini, which powered the classification.
- **[Common Crawl](https://commoncrawl.org/)**: A large-scale web crawl dataset providing openly available web data.