README.md

metadata

annotations_creators:
  - machine-generated
language_creators:
  - other
language:
  - te
license:
  - unknown
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text-generation
  - fill-mask
  - text-classification
task_ids:
  - language-modeling
  - masked-language-modeling
  - multi-class-classification
  - topic-classification
pretty_name: TeluguNews
dataset_info:
  features:
    - name: sno
      dtype: int32
    - name: date
      dtype: string
    - name: heading
      dtype: string
    - name: body
      dtype: string
    - name: topic
      dtype:
        class_label:
          names:
            '0': business
            '1': editorial
            '2': entertainment
            '3': nation
            '4': sports
  splits:
    - name: train
      num_bytes: 69400234
      num_examples: 17312
    - name: test
      num_bytes: 17265514
      num_examples: 4329
  download_size: 0
  dataset_size: 86665748

Dataset Card for [Dataset Name]

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://www.kaggle.com/sudalairajkumar/telugu-nlp?select=telugu_news
• Repository: https://github.com/AnushaMotamarri/Telugu-Newspaper-Article-Dataset

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.