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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ task_categories:
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+ - text-classification
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+ language:
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+ - bn
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+ pretty_name: BnSentMix
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ # BnSentMix: A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysis
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+
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+ [![codeRepo](https://img.shields.io/badge/Code-Repository-blue?logo=GitHub)](https://github.com/Nishita2000/BnSentMix)
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+
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+ ## Dataset Overview
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+
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+ Column Title | Description
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+ ------------ | -------------
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+ `Data Sources` | Facebook, YouTube, E-commerce Sites
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+ `#Samples` | 20000
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+ `Sentiment Labels` | 1:Positive, 2:Negative, 3:Neutral, 4:Mixed
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+ `Filtering Method` | Automated using `mBERT`
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+ `#Annotators` | 64
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+ `Annotation/Sample` | 2 or 3 (if tie)
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+
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+ ## Dataset Statistics
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+
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+ | Statistic | Value |
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+ |-------------------------|--------|
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+ | Mean Character Length | 62.77 |
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+ | Max Character Length | 1985 |
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+ | Min Character Length | 14 |
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+ | Mean Word Count | 11.65 |
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+ | Max Word Count | 368 |
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+ | Min Word Count | 4 |
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+ | Unique Word Count | 37734 |
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+ | Unique Sentence Count | 21873 |
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+
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+ ## Citation
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+
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+ If you find this work useful, please cite our paper:
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+
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+ ```bib
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+ @misc{alam2024bnsentmixdiversebengalienglishcodemixed,
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+ title={BnSentMix: A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysis},
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+ author={Sadia Alam and Md Farhan Ishmam and Navid Hasin Alvee and Md Shahnewaz Siddique and Md Azam Hossain and Abu Raihan Mostofa Kamal},
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+ year={2024},
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+ eprint={2408.08964},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2408.08964},
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+ }
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+ ```