Datasets:
Tasks:
Text Classification
Formats:
csv
Sub-tasks:
multi-label-classification
Languages:
English
Size:
10K - 100K
License:
| license: | |
| - other | |
| language: | |
| - en | |
| multilinguality: | |
| - monolingual | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - multi-label-classification | |
| # Dataset Card for News_Articles_Categorization | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Source Data](#source-data) | |
| ## Dataset Description | |
| 29000 News headlines which are classified into 13 different labels namely: "Playful", "Infuriating", "Sentimental", "Cynical", "Depressing", "Awe-inspiring", "Patriotic", "Begrudging", "Educational", "Hopeful", | |
| "Sarcastic", "Disrespectful", "Disparaging" | |
| ## Languages | |
| The text in the dataset is in English | |
| ## Dataset Structure | |
| The dataset consists of 14 columns namely Headline and the other 13 representing the labels mentioned above. | |
| The Headline column consists of the news headlines and the label columns represent if the headline belongs to the label or not | |
| ## Source Data | |
| The dataset is collected from the database of otherweb.com |