Upload README.md

README.md

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-# Flipboard Articles Classification Dataset
-
-This dataset contains a collection of 2,300 articles sourced from Flipboard, organized for a text classification task. Each article is labeled with a primary category, which can be used for training machine learning models to classify articles into predefined categories.
-
-## Dataset Structure
-
-The dataset includes the following columns:
-
-- **Title**: The title of the article.
-- **Link**: The URL to the article.
-- **Categories**: A list of categories that the article belongs to.
-- **Primary_Category**: The main category assigned to the article.
-
-## Example Row
-
-| Title                             | Link                                             | Categories                       | Primary_Category |
-|-----------------------------------|--------------------------------------------------|----------------------------------|------------------|
-| Example Article Title             | https://www.example.com/article1                 | Tech, Science, Innovation        | Tech             |
-
-## Usage
-
-This dataset is ideal for training text classification models, particularly for tasks like news categorization or content recommendation.
+---
+dataset:
+  name: Flipboard Article Classifier Dataset
+  license: "CC BY 4.0"
+  annotations_creators: 
+    - karimtarektech
+  language: 
+    - en
+  size_categories: 
+    - 1K<n<10K
+  task_categories:
+    - text-classification
+  tags:
+    - flipboard
+    - articles
+    - classification
+  pretty_name: Flipboard Article Classifier Dataset
+  dataset_info:
+    - version: 1.0.0
+    - dataset_size: 1 MB
+---
+
+# Flipboard Article Classifier Dataset
+
+This dataset consists of preprocessed articles categorized to help train text classification models. It’s designed to work well with Hugging Face AutoTrain, making it easier to create high-performance models for news categorization tasks.
+
+## Dataset Information
+
+- **Format**: CSV
+- **Columns**: 
+  - `Title`: The title of the article.
+  - `Link`: The URL link to the article.
+  - `Categories`: A list of all categories that the article falls under.
+  - `Primary_Category`: The primary category assigned to the article.
+- **Categories**: The dataset includes various categories representing different types of news articles, making it ideal for training models to classify news content automatically.
 
 ## License
 
-This dataset is released under a free license for public use. You are free to use, share, and adapt the content, even for commercial purposes. However, please ensure to mention Karim Tarek as the original creator when using this dataset.
+This dataset is licensed under the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) license. You are free to:
+
+- **Share**: Copy and redistribute the material in any medium or format.
+- **Adapt**: Remix, transform, and build upon the material for any purpose, even commercially.