Update README.md

README.md

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----
-license: cc-by-4.0
----
+---
+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.
+
+
+
+
+