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News Articles Classification Dataset
This dataset consists of news articles labeled with corresponding categories for classification tasks.
Overview
The news articles classification dataset is a collection of articles sourced from various news outlets, each labeled with a specific category. The dataset is designed for tasks such as text classification, topic modeling, and sentiment analysis.
Dataset Information
- Name: News Articles Classification Dataset
- Description: Collection of news articles labeled with categories
- Source: Various news outlets
- Size: Number of articles
- Format: Text data with corresponding labels
- License:
Data Fields
The dataset includes the following fields:
- Text: The content of the news article
- Category: The category or label assigned to the article
Data Splits
The dataset is split into the following categories:
- Training Set
- Validation Set
- Test Set
Dataset Creation
The news articles were collected from multiple news sources and manually labeled with appropriate categories for classification.
Dataset Cleaning
The dataset underwent text preprocessing steps, including removing special characters, tokenization, and lowercasing.
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