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" accepted at Natural Language Engineering journal.
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: