Datasets:
Languages:
Telugu
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
other
Annotations Creators:
machine-generated
Source Datasets:
original
License:
File size: 4,403 Bytes
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---
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. |