Dataset Card for '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(formerly known as Natural Language Engineering) journal by Cambridge University Press.

Dataset Details

Dataset Description

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.

Dataset Sources

• Repository: https://github.com/sanzanalora/Ben-Sarc
• Paper: Ben-Sarc: A Self-Annotated Corpus for Sarcasm Detection from Bengali Social Media Comments and Its Baseline Evaluation

  Direct Use

  The Ben-Sarc corpus can be used any kind of used for low-resource NLP applications.

  Dataset Structure

  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
  

  Dataset Creation

  Curation Rationale

  Detailed in the paper

  Source Data

  Detailed in the paper

  Data Collection and Processing

  Detailed in the paper

  Who are the source data producers?

  Detailed in the paper

  Annotations

  Detailed in the paper

  Annotation process

  Detailed in the paper

  Who are the annotators?

  Detailed in the paper

  Additional Information

  • Funded by: [Non-Funded Research]
  • Language(s) (NLP): [Bengali]
  • 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}}