kinnews_kirnews / README.md
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metadata
annotations_creators:
  - expert-generated
language_creators:
  - found
language:
  - rn
  - rw
license:
  - mit
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - multi-class-classification
  - topic-classification
paperswithcode_id: kinnews-and-kirnews
pretty_name: KinnewsKirnews
dataset_info:
  - config_name: kinnews_raw
    features:
      - name: label
        dtype:
          class_label:
            names:
              '0': politics
              '1': sport
              '2': economy
              '3': health
              '4': entertainment
              '5': history
              '6': technology
              '7': tourism
              '8': culture
              '9': fashion
              '10': religion
              '11': environment
              '12': education
              '13': relationship
      - name: kin_label
        dtype: string
      - name: en_label
        dtype: string
      - name: url
        dtype: string
      - name: title
        dtype: string
      - name: content
        dtype: string
    splits:
      - name: train
        num_bytes: 38316546
        num_examples: 17014
      - name: test
        num_bytes: 11971938
        num_examples: 4254
    download_size: 27377755
    dataset_size: 50288484
  - config_name: kinnews_cleaned
    features:
      - name: label
        dtype:
          class_label:
            names:
              '0': politics
              '1': sport
              '2': economy
              '3': health
              '4': entertainment
              '5': history
              '6': technology
              '7': tourism
              '8': culture
              '9': fashion
              '10': religion
              '11': environment
              '12': education
              '13': relationship
      - name: title
        dtype: string
      - name: content
        dtype: string
    splits:
      - name: train
        num_bytes: 32780382
        num_examples: 17014
      - name: test
        num_bytes: 8217453
        num_examples: 4254
    download_size: 27377755
    dataset_size: 40997835
  - config_name: kirnews_raw
    features:
      - name: label
        dtype:
          class_label:
            names:
              '0': politics
              '1': sport
              '2': economy
              '3': health
              '4': entertainment
              '5': history
              '6': technology
              '7': tourism
              '8': culture
              '9': fashion
              '10': religion
              '11': environment
              '12': education
              '13': relationship
      - name: kir_label
        dtype: string
      - name: en_label
        dtype: string
      - name: url
        dtype: string
      - name: title
        dtype: string
      - name: content
        dtype: string
    splits:
      - name: train
        num_bytes: 7343223
        num_examples: 3689
      - name: test
        num_bytes: 2499189
        num_examples: 923
    download_size: 5186111
    dataset_size: 9842412
  - config_name: kirnews_cleaned
    features:
      - name: label
        dtype:
          class_label:
            names:
              '0': politics
              '1': sport
              '2': economy
              '3': health
              '4': entertainment
              '5': history
              '6': technology
              '7': tourism
              '8': culture
              '9': fashion
              '10': religion
              '11': environment
              '12': education
              '13': relationship
      - name: title
        dtype: string
      - name: content
        dtype: string
    splits:
      - name: train
        num_bytes: 6629767
        num_examples: 3689
      - name: test
        num_bytes: 1570745
        num_examples: 923
    download_size: 5186111
    dataset_size: 8200512
config_names:
  - kinnews_cleaned
  - kinnews_raw
  - kirnews_cleaned
  - kirnews_raw

Dataset Card for kinnews_kirnews

Table of Contents

Dataset Description

Dataset Summary

Kinyarwanda and Kirundi news classification datasets (KINNEWS and KIRNEWS,respectively), which were both collected from Rwanda and Burundi news websites and newspapers, for low-resource monolingual and cross-lingual multiclass classification tasks.

Supported Tasks and Leaderboards

This dataset can be used for text classification of news articles in Kinyarwadi and Kirundi languages. Each news article can be classified into one of the 14 possible classes. The classes are:

  • politics
  • sport
  • economy
  • health
  • entertainment
  • history
  • technology
  • culture
  • religion
  • environment
  • education
  • relationship

Languages

Kinyarwanda and Kirundi

Dataset Structure

Data Instances

Here is an example from the dataset:

Field Value
label 1
kin_label/kir_label 'inkino'
url 'https://nawe.bi/Primus-Ligue-Imirwi-igiye-guhura-gute-ku-ndwi-ya-6-y-ihiganwa.html'
title 'Primus Ligue\xa0: Imirwi igiye guhura gute ku ndwi ya 6 y’ihiganwa\xa0?'
content ' Inkino zitegekanijwe kuruno wa gatandatu igenekerezo rya 14 Nyakanga umwaka wa 2019...'
en_label 'sport'

Data Fields

The raw version of the data for Kinyarwanda language consists of these fields

  • label: The category of the news article
  • kin_label/kir_label: The associated label in Kinyarwanda/Kirundi language
  • en_label: The associated label in English
  • url: The URL of the news article
  • title: The title of the news article
  • content: The content of the news article

The cleaned version contains only the label, title and the content fields

Data Splits

Lang Train Test
Kinyarwandai Raw 17014 4254
Kinyarwandai Clean 17014 4254
Kirundi Raw 3689 923
Kirundi Clean 3689 923

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

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

@article{niyongabo2020kinnews,
  title={KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi},
  author={Niyongabo, Rubungo Andre and Qu, Hong and Kreutzer, Julia and Huang, Li},
  journal={arXiv preprint arXiv:2010.12174},
  year={2020}
}

Contributions

Thanks to @saradhix for adding this dataset.