Datasets:

Languages: te
Multilinguality: monolingual
Size Categories: 10K<n<100K
Licenses: unknown
Language Creators: other
Annotations Creators: machine-generated
Source Datasets: original

Dataset Card for [Dataset Name]

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

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

[More Information Needed]

Contributions

Thanks to @oostopitre for adding this dataset.

Models trained or fine-tuned on telugu_news

None yet