Ben-Sarc

This repository contains the dataset of the paper titled "Ben-Sarc: A Self-Annotated Corpus for Sarcasm Detection from Bengali Social Media Comments and Its Baseline Evaluation" published in Natural Language Processing journal (formerly known as Natural Language Engineering) by Cambridge University Press. The Ben-Sarc is also available at HuggingFace.

Table of Contents

• Ben-Sarc
  • Dataset Details
  • Authors
  • License
  • Citation

Dataset Details

We are releasing a large-scale self-annotated Bengali corpus for sarcasm detection research problem in the Bengali language named Ben-Sarc containing 25,636 comments, manually collected from different public Facebook pages and evaluated by external evaluators.

Data Instances

The Ben-Sarc dataset is in .xlsx format. One example from the Ben-Sarc dataset is given below:

|----|------------------------------------------------------------------------------------------------------------|----------|
| id |                                           Text                                                             | Polarity |
|----|------------------------------------------------------------------------------------------------------------|----------|
| 589|তোমারে ভাবিয়া সারারাত জাগিয়া ঘুম মোর হয়েছে নষ্ট বুকের বামপাশে চিনচিন ব্যাথা করে একি গ্যাস্ট্রিক না প্রেম হচ্ছে না স্পষ্ট ।  |    1     |
|----|------------------------------------------------------------------------------------------------------------|----------|

Data Fields

• id: A string representing the text ID.
• Text: A string containing the text.
• Polarity : A number containing the polarity of the text

Polarity of the Ben-Sarc is defined as follows:

            `0` indicates *Non-Sarcastic Text* 
            
            `1` indicates *Sarcastic Text*

Authors

• Sanzana Karim Lora
• G. M. Shahariar
• Tamanna Nazmin
• Noor Nafeur Rahman
• Rafsan Rahman
• Miyad Bhuiyan
• Faisal Muhammad Shah

License

Contents of this repository are restricted to only non-commercial research purposes under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).

Citation

If you use our dataset, please cite the following paper:

@article{Lora_Shahariar_Nazmin_Rahman_Rahman_Bhuiyan_Shah_2024,
  title={Ben-Sarc: A self-annotated corpus for sarcasm detection from Bengali social media comments and its baseline evaluation},
  DOI={10.1017/nlp.2024.11},
  journal={Natural Language Processing},
  author={Lora, Sanzana Karim and Shahariar, G. M. and Nazmin, Tamanna and Rahman, Noor Nafeur and Rahman, Rafsan and Bhuiyan, Miyad and Shah, Faisal Muhammad},
  year={2024},
  pages={1–26}}