README.md

metadata

license: unknown
task_categories:
  - text-generation
language:
  - en
tags:
  - paraphrase
  - style-transfer
  - parabank

ParaBank Paraphrase Labeled (Style-Conditioned)

200,001-row style-labeled paraphrase dataset derived from ParaBank v2, balanced at 66,667 rows per style: [FORMAL], [CASUAL] (informal), [POLITE].

Columns

• reference: source English sentence
• paraphrase_1: best-ranked paraphrase from ParaBank v2
• style_label: 0=polite, 1=formal, 2=informal
• plus raw formality/politeness classifier labels and confidence scores

Data Attribution

Derived from ParaBank 2:

J. Edward Hu, Abhinav Singh, Nils Holzenberger, Matt Post, and Benjamin Van Durme. 2019. Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 44-54. https://aclanthology.org/K19-1005/

Changes made to the original data: filtered to a 0.02-0.10 dual-condition score range with heuristic quality filters (7,738,958 rows from the raw 19.72M-line corpus), deduplicated, randomly sampled, labeled for formality/politeness via classifier inference, and balanced to 200,001 rows (66,667 per style). Only paraphrase_1 from each original row is used.