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Table · dataset · 2022

Sentence-level formality annotations for news, blogs, email and QA forums. Published in "An Empirical Analysis of Formality in Online Communication" (Pavlick and Tetreault, 2016)

Listed in Hugging Face Datasets

This dataset contains sentence-level formality annotations used in the 2016 TACL paper "An Empirical Analysis of Formality in Online Communication" (Pavlick and Tetreault, 2016).

Description

It includes sentences from four genres (news, blogs, email, and QA forums), all annotated by humans on Amazon Mechanical Turk. The news and blog data was collected by Shibamouli Lahiri, and we are redistributing it here for the convenience of other researchers.

We collected the email and answers data ourselves, using… See the full description on the dataset page: huggingface.co/datasets/osyvokon/pavlick-formality-scores.

Links

Documentation and papers

Catalogue records · 1

Topics

Stated by source
text · text classification
Inferred from text
Artificial intelligence 74%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsosyvokon/pavlick-formality-scores15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].anzsrc:group:4602enrichment · Hugging Facetaxonomy-embedding@1.0.0title+keywords+description (74%)
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0