Datasets:
Tasks:
Text Classification
Formats:
csv
Size:
10K - 100K
Tags:
multi-label-classification
web-page-classification
natural-language-processing
machine-learning
dataset
License:
| 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. | |