README.md

metadata

license: mit
task_categories:
  - text-classification
language:
  - bn
pretty_name: BnSentMix
size_categories:
  - 10K<n<100K

BnSentMix: A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysis

Dataset Overview

Column Title	Description
Data Sources	Facebook, YouTube, E-commerce Sites
#Samples	20000
Sentiment Labels	1:Positive, 2:Negative, 3:Neutral, 4:Mixed
Filtering Method	Automated using mBERT
#Annotators	64
Annotation/Sample	2 or 3 (if tie)

Dataset Statistics

Statistic	Value
Mean Character Length	62.77
Max Character Length	1985
Min Character Length	14
Mean Word Count	11.65
Max Word Count	368
Min Word Count	4
Unique Word Count	37734
Unique Sentence Count	21873

Citation

If you find this work useful, please cite our paper:

@misc{alam2024bnsentmixdiversebengalienglishcodemixed,
      title={BnSentMix: A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysis}, 
      author={Sadia Alam and Md Farhan Ishmam and Navid Hasin Alvee and Md Shahnewaz Siddique and Md Azam Hossain and Abu Raihan Mostofa Kamal},
      year={2024},
      eprint={2408.08964},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2408.08964}, 
}