Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
multi-class-classification
Languages:
Nepali
Size:
100K - 1M
Tags:
nepali-newsgroups
nepali-20-newsgroups
np20ng
nepali text classification
natural language processing
news
License:
| annotations_creators: | |
| - other | |
| language: | |
| - ne | |
| language_creators: | |
| - machine-generated | |
| license: | |
| - apache-2.0 | |
| multilinguality: | |
| - monolingual | |
| pretty_name: np20ng | |
| size_categories: | |
| - 100K<n<1M | |
| source_datasets: | |
| - original | |
| tags: | |
| - nepali-newsgroups | |
| - nepali-20-newsgroups | |
| - np20ng | |
| - nepali text classification | |
| - natural language processing | |
| - news | |
| - headline | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - multi-class-classification | |
| # Dataset Card for [np20ng] | |
| ## Table of Contents | |
| - [Dataset Card for [np20ng]](#dataset-card-for-dataset-name) | |
| - [Table of Contents](#table-of-contents) | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) | |
| - [Who are the source language producers?](#who-are-the-source-language-producers) | |
| - [Annotations](#annotations) | |
| - [Annotation process](#annotation-process) | |
| - [Who are the annotators?](#who-are-the-annotators) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## Dataset Description | |
| - **Homepage:** To be updated | |
| - **Repository:** To be updated | |
| - **Paper:** Submitted for review | |
| - **Leaderboard:** To be updated | |
| - **Point of Contact:** To be updated | |
| ### 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](https://github.com/Suyogyart) for adding this dataset. | |