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Fix `license` metadata (#1)
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metadata
annotations_creators: []
language_creators:
  - crowdsourced
language:
  - si
license:
  - mit
multilinguality:
  - monolingual
pretty_name: sinhala-news-source-classification
size_categories: []
source_datasets: []
task_categories:
  - text-classification
task_ids: []

This dataset contains Sinhala news headlines extracted from 9 news sources (websites) (Sri Lanka Army, Dinamina, GossipLanka, Hiru, ITN, Lankapuwath, NewsLK, Newsfirst, World Socialist Web Site-Sinhala). This is a processed version of the corpus created by Sachintha, D., Piyarathna, L., Rajitha, C., and Ranathunga, S. (2021). Exploiting parallel corpora to improve multilingual embedding based document and sentence alignment. Single word sentences, invalid characters have been removed from the originally extracted corpus and also subsampled to handle class imbalance.

If you use this dataset please cite {Dhananjaya et al. BERTifying Sinhala - A Comprehensive Analysis of Pre-trained Language Models for Sinhala Text Classification, 2022}