Datasets:
Formats:
csv
Languages:
English
Size:
10K - 100K
Tags:
Stylometry
Writing Style
Authorship Attribution
Text Generation
Style Classification
Large Language Models
License:
Update README.md
Browse files
README.md
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license: cc
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---
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license: cc
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task_categories:
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- text-classification
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- text-generation
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- feature-extraction
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language:
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- en
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tags:
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- Stylometry
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- Writing Style
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- Authorship Attribution
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- Text Generation
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- Style Classification
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- Large Language Models
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- LLMs
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pretty_name: ' US Presidents'' Spoken and Written Sentences'
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size_categories:
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- 100K<n<1M
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---
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<h1 align="center">US Presidents' Spoken and Written Sentences</h1>
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<p align="center">
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<img src="Image.jpg" alt="Dataset overview">
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</p>
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We obtained transcriptions of spoken language from Miller Center of Public Affairs, University of Virginia (Available at https://data.millercenter.org), which covers transcriptions from George Washington to the present time. For the writing samples, we used ten complete books written by presidents, three of which we obtained from Project Gutenberg (Available at https://www.gutenberg.org). To ensure the accuracy of calculations, all the pages that were not part of the main content were removed. Furthermore, multiple whitespaces were changed into single whitespaces. For sentence extraction, we used the NLTK library, while CoreNLP (version 4.5.7 ) was employed for tokenization and word counting.
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