BBC-Dataset-News-Classification

Dataset Overview

Dataset Name

BBC-Dataset-News-Classification

Dataset Content

• Number of Documents: 2,225
• Source: BBC News website
• Time Span: 2004–2005
• Thematic Domains: 5 (business, entertainment, politics, sports, technology)

Dataset Structure

• File Description:
  • dataset/data_files: Folder containing multiple news txt files.
  • dataset/dataset.csv: CSV file with two columns, “News” and “Category”; the “News” column holds the article text and the “Category” column holds the label.
  • model/get_data.py: Script that consolidates all txt files into a single two‑column (“News”, “Category”) CSV file.
  • model/model.py: Contains preprocessing, TF‑IDF feature extraction, model construction, and evaluation code.
  • model/test.ipynb: Jupyter notebook.

Dataset Split

• Training Set: 1,780 samples
• Test Set: 445 samples

Evaluation Results

• Accuracy: 0.9573
• Kappa Coefficient: 0.9461