Datasets:
Dataset Card for [np20ng]
Dataset Summary
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.
Supported Tasks and Leaderboards
- Multi-class text classification from news document
- Multi-class text classification from news headings
- News heading generation from news document
Languages
- Nepali
Dataset Structure
Data Instances
The dataset consists over 200,000 Nepali news documents categorized into 20 different news categories.
Data Fields
- category: News category
- content: News document (main text)
- headline: News headline
- source: News source from where the news is taken from
Data Splits
The dataset is a whole dataset and is not splitted.
Dataset Creation
Curation Rationale
To develop and create a large-scale Nepali text classification dataset and releasing it to the public for further research and developments
Source Data
Initial Data Collection and Normalization
Data are scraped from popular Nepali news portals such as Onlinekhabar, Nepalkhabar, Ekantipur, Ratopati, Gorkhapatra, Nepalipatra, Educationpati, Crimenews, etc.
Who are the source language producers?
News portals
Annotations
Annotation process
Category labeling of news documents are automatically done as the documents are scraped from category-specific URLs of particular news source
Who are the annotators?
News portals
Personal and Sensitive Information
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
Considerations for Using the Data
Social Impact of Dataset
No issues.
Discussion of Biases
Categories can be depended on how news portals have categorized them. Otherwise could cause some bias between them.
Other Known Limitations
News summary are not included
Additional Information
Dataset Curators
Me myself.
Licensing Information
Apache-2.0
Citation Information
To be updated later (Paper submission in process)
Contributions
Thanks to @Suyogyart for adding this dataset.
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