ProfessorLeVesseur/bert-base-cased-timeframe-classifier
Text Classification • 0.1B • Updated • 3
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EnglishTense Dataset
https://data.mendeley.com/datasets/jnb2xp9m4r/1
Overview
The EnglishTense dataset is a comprehensive collection of English sentences meticulously categorized based on their tense: Past, Present, and Future. This dataset is designed to facilitate research and development in natural language processing (NLP) and computational linguistics, particularly for English, a widely spoken language worldwide.
Dataset Details
- Total Sentences: 13,316
- Present Tense: 4,621 sentences
- Past Tense: 3,851 sentences
- Future Tense: 4,844 sentences
Applications
EnglishTense is a valuable resource for the NLP community, with applications including but not limited to:
- Tense Detection
- Text Classification
- Language Modeling
- Educational Tools
The dataset supports advancements in temporal analysis and the development of robust NLP models.
Publication Details
- Published: August 5, 2024
- Version: 1
- DOI: 10.17632/jnb2xp9m4r.1
Contributors
- Umme Ayman Ayman
- Md. Hafizur Rahman
- Md. Shafiqul Islam
Usage
The dataset is available for research and educational purposes. Users are encouraged to cite the DOI when using the dataset in their work.
License
Please refer to the dataset's license terms provided in the repository for usage and distribution guidelines.
For more information, updates, and access to the dataset, please visit the Mendeley Data page.
license: apache-2.0
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