ArticleData in brief2025
BanglaTense: A large-scale dataset of Bangla sentences categorized by tense: Past, present, and future.
Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- BanglaVoice: A curated sentence-level annotated dataset for active, passive, and middle voice in Bangla with baseline classification benchmarks.Data in brief · 2026Article
- BPS2025: A demographically focused dataset of handwritten bangla primary script for early writer recognition.Data in brief · 2026Article
- BanglaRegionalTextCorpus: A curated dataset for four regional bangla dialects with standard Bangla and English translation.Data in brief · 2026Article
- BanglaVerb: A sentence-level dataset for transitivity classification in Bangla NLP.Data in brief · 2026Article
- BanglaSarc3: A benchmark dataset for Bangla sarcasm detection from social media to advance Bangla NLP.Data in brief · 2025Article
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3 authors.
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Abstract
Bengali, an Indo-Aryan language, features a complex grammatical structure with tenses, which is crucial for natural language processing (NLP) applications like text classification, machine translation, and sentiment analysis. The BanglaTense dataset is a large-scale, meticulously curated collection of Bangla sentences categorized by their tense: Past, present, and future. Addressing the resource gap in NLP for the Bangla language, BanglaTense provides a curated resource for Bangla sentence classification, featuring 17,819 annotated sentences, with 5,629 in the past tense, 6,101 in the present tense, and 6,089 in the future tense. This dataset is a benchmark for evaluating NLP models on Bangla sentence classification, promoting linguistic diversity and inclusive language models while ensuring balanced representation across categories. Preprocessing steps are applied to enhance data quality, including anonymization and duplicate removal. Three native Bangla speakers independently assessed the tense labels of the sentences, ensuring the dataset's reliability. BanglaTense is designed to advance research and development in NLP for Bangla, offering valuable applications in tense detection, text classification, language modeling, and educational tools. This dataset supports linguistic study and enhances the development of precise and context-aware NLP models by providing a robust foundation for temporal analysis in Bangla sentences. The dataset is openly available for academic and research purposes, promoting collaboration and innovation within the Bangla NLP community.
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