---
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.