dimuthulk/sinhala-detoxification-dimuthu-subset

📊 Dataset Card for Sinhala Detoxification - Dimuthu's Subset

📝 Dataset Description

• Repository: dimuthulk/sinhala-detoxification-dimuthu-subset
• Language(s) (NLP): Sinhala (si)
• License: Apache 2.0

📋 Dataset Summary

This dataset represents the individual data collection and curation contribution of Dimuthu Rathnayaka for the overarching research project, "Sinhala Offensive Text Detoxification Pipeline".

It was developed as part of the academic requirements for the Electronics and computer science degree program at the University of Kelaniya. This specific subset focuses on parallel data (offensive sentences and their neutralized/detoxified counterparts) to train generative NLP models (Seq2Seq) for text detoxification in the Sinhala language.

🚀 Uses

✅ Direct Use

This dataset is intended to be used as parallel training data for Natural Language Generation (NLG) models aimed at transforming toxic, abusive, or offensive Sinhala text into polite, neutral, and acceptable variations without losing the original meaning.

❌ Out-of-Scope Use

This dataset should not be used to train models that generate harmful, offensive, or discriminatory content.

🗂️ Dataset Structure

🔍 Data Instances

A typical instance consists of an original offensive Sinhala sentence and its manually rewritten, detoxified version.

🏷️ Data Fields

(Note: Please update these field names if your CSV column names are different)

• offensive_text (string): The original text containing offensive or toxic Sinhala language.
• detoxified_text (string): The neutralized, non-offensive version of the original text.

🛠️ Dataset Creation

📂 Source Data & Curation

The data was manually collected, reviewed, and rewritten by the curator. The primary goal during the curation process was to ensure that the detoxified text preserves the core semantic meaning of the original message while completely removing any offensive vocabulary or abusive tones.

ℹ️ Additional Information

🎓 Dataset Curator

Dimuthu Rathnayaka
Undergraduate, Electronics and computer science, University of Kelaniya.

📚 Citation Information

If you reference this specific individual subset in your research, please cite it as follows:

@misc{detoxification_dimuthu_subset_2026,
  author = {Rathnayaka, Dimuthu},
  title = {Sinhala Detoxification Dataset - Individual Thesis Contribution},
  year = {2026},
  publisher = {Hugging Face},
  journal = {Hugging Face repository},
  howpublished = {\url{[https://huggingface.co/datasets/dimuthulk/sinhala-detoxification-dimuthu-subset](https://huggingface.co/datasets/dimuthulk/sinhala-detoxification-dimuthu-subset)}}
}