This is a multi-class Nepali text classification dataset. Text are the news documents and labels are the news categories. It consists over 200,000 documents categorized into 20 different Nepali news groups. News documents from 10 different news sources are compiled into this dataset. Labeling is done using the category-specific news from the respective news portals.
- Multi-class text classification from news document
- Multi-class text classification from news headings
- News heading generation from news document
The dataset consists over 200,000 Nepali news documents categorized into 20 different news categories.
- category: News category
- content: News document (main text)
- headline: News headline
- source: News source from where the news is taken from
The dataset is a whole dataset and is not splitted.
To develop and create a large-scale Nepali text classification dataset and releasing it to the public for further research and developments
Data are scraped from popular Nepali news portals such as Onlinekhabar, Nepalkhabar, Ekantipur, Ratopati, Gorkhapatra, Nepalipatra, Educationpati, Crimenews, etc.
Category labeling of news documents are automatically done as the documents are scraped from category-specific URLs of particular news source
This dataset does not possess any personal and sensitive information. However, the news content can possess some biasness and irregular information which might be sensitive and not quite related with the original author of the dataset
Categories can be depended on how news portals have categorized them. Otherwise could cause some bias between them.
News summary are not included
To be updated later (Paper submission in process)
Thanks to @Suyogyart for adding this dataset.
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