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BESCAD: A Multi-Label Bangla Emotion and Social Context Annotation Dataset

Domaine:

natural language processing

Type de record:

dataset
Créateur:
RoyMitBasHos
Éditeur:
Zenodo
Hôte:avatar
BESCAD (Bangla Emotion and Social Context Annotation Dataset) is a large-scale multi-label dataset of 17,588 Bangla social media and literary text samples annotated with 15 fine-grained emotion categories and 3 social-context labels (Sarcasm, Mixed Language, Regionalism). Each sample includes original Bangla text, Banglish transliteration, and human-verified English translation, enabling monolingual and cross-lingual research. The dataset was created through a human-first annotation pipeline with LLM-assisted refinement and expert validation, making it suitable for affective computing, NLP, and multilingual emotion analysis.

Visit

doi.orgzenodo.org

Tasks

emotion identification

Languages

Samba Leko

Tags

Bangla NLPEmotion DetectionSentiment AnalysisMulti-label ClassificationAffective ComputingSocial Media AnalysisLow-resource LanguageBengali DatasetCross-lingual NLPBanglish+2

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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