Datasets:
kannada_news

Tasks: topic-classification

Task Categories: text-classification

Languages: kn

Multilinguality: monolingual

Size Categories: 1K<n<10K

Licenses: cc-by-sa-4.0

Language Creators: other

Annotations Creators: other

Source Datasets: original

Dataset card Files Files and versions Community

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Status code:   400
Exception:     ManualDownloadError
Message:                       The dataset kannada_news with config default requires manual data.
                Please follow the manual download instructions:

You need to go to https://www.kaggle.com/disisbig/kannada-news-dataset,
and manually download the dataset from Kaggle. Once it is completed,
a folder named archive.zip will appear in your Downloads folder(
or whichever folder your browser chooses to save files to). Unzip the folder to obtain
a folder named "archive" having train.csv and valid.csv.

You can then specify the path to this folder for the data_dir argument in the
datasets.load_dataset(...) option.

The <path/to/folder> can e.g. be "/Downloads/archive".
The data can then be loaded using the following command `datasets.load_dataset("kannada_news", data_dir="/Downloads/archive")`.

                Manual data can be loaded with:
                 datasets.load_dataset("kannada_news", data_dir="<path/to/manual/data>")

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Dataset Card for kannada_news dataset

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.