task_categories:text-generation task_categories:fill-mask task_categories:text-classification task_ids:language-modeling task_ids:masked-language-modeling task_ids:multi-class-classification task_ids:topic-classification annotations_creators:machine-generated language_creators:other multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:te license:unknown region:us
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.
@InProceedings{kaggle:dataset,
title = {Telugu News - Natural Language Processing for Indian Languages},
authors={Sudalai Rajkumar, Anusha Motamarri},
year={2019}
}
---
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-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)
  - [Annotations](#annotations)
  - [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:** 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](https://github.com/oostopitre) for adding this dataset.