Datasets:
Formats:
csv
Languages:
English
Size:
10K - 100K
Tags:
Stylometry
Writing Style
Authorship Attribution
Text Generation
Style Classification
Large Language Models
License:
Sentence
string | Length
int64 | Words
int64 | Label
string | Label_num
int64 | parse_tree
string | pos
string | dependency
string | verb_count
float64 | adverb_count
float64 | noun_count
float64 | coord_count
float64 | subord_count
float64 | verb_percent
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int64 | PRP_second
int64 | PRP_third
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float64 | PRP_second_percent
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float64 | noun_phrase
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string | Compare_Super
string | CONJP
bool | Imperative
bool | Nsubj
int64 | PP_Percent
float64 | PP_VP_Percent
float64 | PP_NP_Percent
float64 | PP_O_Percent
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Convinced that the treaty was a plot hatched by Calhoun without consideration of Mexican rights or resistance, and for political, slavery and secessionist purposes, Benton—who actually favored Western expansion on the nationalistic grounds of “manifest destiny”—was handing his political enemies a choice opportunity to assail him openly.
| 338
| 57
|
Written
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without decent and refined language.
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Only after I had hung up and she turned toward me did I realize that her eyes, normally a warm, dark brown that matched the color of her skin, had turned an opaque shade of blue, as if someone had glued plastic buttons over her irises.
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I sensed, though, that at some stage—maybe when you had children and decided that you could stay in the city only at the cost of a private school, or when you began taking cabs at night to avoid the subways, or when you decided that you needed a doorman in your apartment building—your choice was irrevocable, the divide was now impassable, and you would find yourself on the side of the line that you’d never intended to be on.
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Sundry treaties have been negotiated, which will in due time be submitted for the constitutional action of the Senate.
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Our American unity does not depend upon unanimity.
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We’re not going to ignore that either.
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First, I will send to the Senate my nomination of LeRoy Collins to be Director of the Community Relations Service.
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For our everyday life is becoming so saturated with the tremendous power of mass communications that any unpopular or unorthodox course arouses a storm of protests such as John Quincy Adams—under attack in 1807—could never have envisioned.
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Most Americans realize more clearly than ever before that modern war equipment in the hands of aggressor nations can bring danger overnight to our own national existence or to that of any other nation—or island—or continent.
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These issues call for vigorous debate, and I think it's fair to say, we've answered the call.
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Deep and full, it boomed out one pithy phrase after another .
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They were reminded of the saying of John Paul Jones, "Give me a fair ship so that I might go into harm's way."
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sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 6
target: 11
dep: "punct"
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sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 6
target: 12
dep: "punct"
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sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 6
target: 13
dep: "dep"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: Any
, source: 10
target: 7
dep: "case"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 10
target: 8
dep: "compound"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 10
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dep: "compound"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 13
target: 14
dep: "iobj"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 13
target: 17
dep: "obj"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 13
target: 22
dep: "advcl:so_that"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 17
target: 15
dep: "det"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 17
target: 16
dep: "amod"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 22
target: 18
dep: "mark"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 22
target: 20
dep: "nsubj"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 22
target: 21
dep: "aux"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 22
target: 26
dep: "obl:into"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 18
target: 19
dep: "fixed"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 26
target: 23
dep: "case"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 26
target: 24
dep: "nmod:poss"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
, source: 24
target: 25
dep: "case"
isExtra: false
sourceCopy: 0
targetCopy: 0
language: UniversalEnglish
]
| 4
| 0
| 7
| 0
| 5
| 0.17
| 0
| 0.3
| 0
| 0.22
| 17
| 14
| 0
| 0
| 1
| 0
| 1
| 0.04
| 0
| 0.04
| 9
|
Agentless Passive
|
Not
| false
| false
| 1
| 0.39
| 0.25
| 0.14
| 0
|
End of preview. Expand
in Data Studio
US Presidents' Spoken and Written Sentences
We obtained transcriptions of spoken language from the Miller Center of Public Affairs, University of Virginia, 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. 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 extracting a variety of low-level and high-level syntactic features. These supplementary layers of linguistic information provide valuable resources for researchers interested not only in stylometric analysis but also in broader investigations of syntactic and semantic phenomena.
If you use this dataset in your research, please cite the two papers below in which it was introduced:
Paper: "Text vs. Transcription: A Study of Differences Between the Writing and Speeches of U.S. Presidents"
GitHub: https://github.com/mosabrezaei/Text-vs.-Transcription
Cite:
@inproceedings{rajaei-moghadam2024text,
title = {{Text vs. Transcription}: {A} Study of Differences Between the Writing and Speeches of {U.S}. Presidents},
booktitle = {Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities (NLP4DH)},
author= {Rajaei Moghadam, Mina and Rezaei, Mosab and Aygen, Gülşat and Freedman, Reva},
doi={10.18653/v1/2024.nlp4dh-1.35},
pages = {352--361},
month= {Nov},
address = {Miami, USA},
year={2024}}
Paper: "Investigating Lexical and Syntactic Differences in Written and Spoken English Corpora"
GitHub: https://github.com/mosabrezaei/Lexical-and-Syntactic-Analysis
Cite:
@inproceedings{moghadam2024investigating,
title={Investigating Lexical and Syntactic Differences in Written and Spoken English Corpora},
author={Rajaei Moghadam, Mina and Rezaei, Mosab and Williams, Miguel and Aygen, Gülşat and Freedman, Reva},
booktitle={The International FLAIRS Conference Proceedings},
doi={10.32473/flairs.37.1.135598},
volume={37},
number={1},
month={May},
year={2024}}
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