| --- |
| license: other |
| task_categories: |
| - text-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| --- |
| license: |
| - other |
| language: |
| - en |
| multilinguality: |
| - monolingual |
| task_categories: |
| - text-classification |
| task_ids: |
| - multi-class-classification |
| --- |
|
|
| # Dataset Card for Explicit content detection |
|
|
| ## Table of Contents |
| - [Dataset Description](#dataset-description) |
| - [Languages](#languages) |
| - [Dataset Structure](#dataset-structure) |
| - [Source Data](#source-data) |
|
|
| ## Dataset Description |
|
|
| 1189 News Articles classified into different categories namely: "Explicit" if the article contains explicit content and "Not_Explicit" if not. |
| ## Languages |
| |
| The text in the dataset is in English |
| |
| ## Dataset Structure |
| |
| The dataset consists of two columns namely Article and Category. |
| The Article column consists of the news article and the Category column consists of the class each article belongs to wether it contains explicit content or not |
| |
| |
| ## Source Data |
| |
| The dataset is queried from the Otherweb database |
