Datasets:
license: cc-by-nc-sa-4.0
task_categories:
- text-classification
language:
- bn
pretty_name: Ben-Sarc
size_categories:
- 10K<n<100K
tags:
- sarcasm
- bengali sarcasm
- bengali sarcasm detection
source_datasets:
- original
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 theBen-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 theBen-Sarc
is defined as follows:`0` indicates Non-Sarcastic Text `1` indicates Sarcastic Text
Dataset Creation
Curation Rationale
Source Data
Data Collection and Processing
Who are the source data producers?
Annotations
Annotation process
Who are the annotators?
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}}