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:

@inproceedings{alam-etal-2025-bnsentmix,
    title = "{B}n{S}ent{M}ix: A Diverse {B}engali-{E}nglish Code-Mixed Dataset for Sentiment Analysis",
    author = "Alam, Sadia  and Ishmam, Md Farhan  and Alvee, Navid Hasin  and Siddique, Md Shahnewaz  and
      Hossain, Md Azam  and Kamal, Abu Raihan Mostofa", editor = "Hettiarachchi, Hansi  and
      Ranasinghe, Tharindu  and Rayson, Paul  and Mitkov, Ruslan  and Gaber, Mohamed  and
      Premasiri, Damith  and Tan, Fiona Anting  and Uyangodage, Lasitha",
    booktitle = "Proceedings of the First Workshop on Language Models for Low-Resource Languages",
    month = jan,
    year = "2025",
    address = "Abu Dhabi, United Arab Emirates",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.loreslm-1.4/",
    pages = "68--77"
}