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Dataset Summary
This dataset contains Telugu language news articles along with respective topic labels (business, editorial, entertainment, nation, sport) extracted from the daily Andhra Jyoti. This dataset could be used to build Classification and Language Models.
Supported Tasks and Leaderboards
Multiclass classification, Topic Classification, Language Model
Languages
TE - Telugu, India
Dataset Structure
Data Instances
Two CSV files (train, test) with five columns (sno, date, heading, body, topic).
Data Fields
- sno: id
- date: publish date of the news article
- heading: article heading/title
- body: article body/content
- topic: one of the following topics (business, editorial, entertainment, nation, sport)
Data Splits
Train and Test
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
- https://www.kaggle.com/sudalairajkumar/telugu-nlp?select=telugu_news
- https://github.com/AnushaMotamarri/Telugu-Newspaper-Article-Dataset
Initial Data Collection and Normalization
The source data is scraped articles from archives of Telugu newspaper website Andhra Jyoti. A set of queries were created and the corresponding ground truth answers were retrieved by a combination of BM25 and tf-idf.
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
Sudalai Rajkumar, Anusha Motamarri
Licensing Information
[More Information Needed]
Citation Information
@InProceedings{kaggle:dataset,
title = {Telugu News - Natural Language Processing for Indian Languages},
authors={Sudalai Rajkumar, Anusha Motamarri},
year={2019}
}
Contributions
Thanks to @oostopitre for adding this dataset.
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