Datasets:
annotations_creators:
- other
language_creators:
- other
language:
- kn
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- topic-classification
paperswithcode_id: null
pretty_name: KannadaNews Dataset
Dataset Card for kannada_news dataset
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: Kaggle link for kannada news headlines dataset
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: More information about the dataset and the models can be found here
Dataset Summary
The Kannada news dataset contains only the headlines of news article in three categories: Entertainment, Tech, and Sports.
The data set contains around 6300 news article headlines which are collected from Kannada news websites. The data set has been cleaned and contains train and test set using which can be used to benchmark topic classification models in Kannada.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Kannada (kn)
Dataset Structure
Data Instances
The data has two files. A train.csv and valid.csv. An example row of the dataset is as below:
{
'headline': 'ಫಿಫಾ ವಿಶ್ವಕಪ್ ಫೈನಲ್: ಅತಿರೇಕಕ್ಕೇರಿದ ಸಂಭ್ರಮಾಚರಣೆ; ಅಭಿಮಾನಿಗಳ ಹುಚ್ಚು ವರ್ತನೆಗೆ ವ್ಯಾಪಕ ಖಂಡನೆ',
'label':'sports'
}
NOTE: The data has very few examples on the technology (class label: 'tech') topic. [More Information Needed]
Data Fields
Data has two fields:
- headline: text headline in kannada (string)
- label : corresponding class label which the headlines pertains to in english (string)
Data Splits
The dataset is divided into two splits. All the headlines are scraped from news websites on the internet.
| train | validation | |
|---|---|---|
| Input Sentences | 5167 | 1293 |
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
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
There are starkingly less amount of data for South Indian languages, especially Kannada, available in digital format which can be used for NLP purposes. Though having roughly 38 million native speakers, it is a little under-represented language and will benefit from active contribution from the community.
This dataset, however, can just help people get exposed to Kannada and help proceed further active participation for enabling continuous progress and development.
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[Gaurav Arora] (https://github.com/goru001/nlp-for-kannada). Has also got some starter models an embeddings to help get started.
Licensing Information
cc-by-sa-4.0
Citation Information
https://www.kaggle.com/disisbig/kannada-news-dataset
Contributions
Thanks to @vrindaprabhu for adding this dataset.