---
language: en
license: mit
task_categories:
  - text-generation
tags:
  - style-transfer
  - paraphrase
  - machine-text-detection
  - reddit
size_categories:
  - 10K<n<100K
---

# Style-Aware Paraphraser — Reddit Author Targets Bank

A bank of 12 000 anonymous Reddit authors, each represented by 16 exemplar
comments plus 5 Mistral-7B paraphrases of each. This is what feeds the
target-style side of our paraphraser: pick a row, pass `reference_text`
and `paraphrase_reference_text` to
[`rrivera1849/style-aware-paraphraser-mistral7b`](https://huggingface.co/rrivera1849/style-aware-paraphraser-mistral7b),
and the model will rewrite any machine text in that author's style.

Reddit usernames are **not** included; the bank carries only the comment
text needed to characterize a writing style.

## Schema (`author_bank.jsonl`)

| Field                       | Type            | Description                                                  |
|-----------------------------|-----------------|--------------------------------------------------------------|
| `reference_text`            | list[str] (16)  | 16 prior comments from the same author — the style exemplars |
| `paraphrase_reference_text` | list[list[str]] | 5× Mistral-7B paraphrases for each of the 16 exemplars       |

## Intended use

```python
from datasets import load_dataset
ds = load_dataset("rrivera1849/style-aware-paraphraser-author-bank-reddit",
                  split="train", streaming=True)
target = next(iter(ds))

# Feed (target["reference_text"], target["paraphrase_reference_text"]) into
# our model alongside your own 5 Mistral-7B paraphrases of a machine text;
# see the model card for the iterative-refinement loop.
```

## License

Released under MIT. Underlying Reddit text is subject to Reddit's
content licensing — please consult the original
[Reddit Million Users Dataset](https://arxiv.org/abs/2105.07263) for terms.

## Citation

```bibtex
@inproceedings{rivera-soto-etal-2026-attacks,
  title     = {Attacks on Machine-Text Detectors Retain Stylistic Fingerprints},
  author    = {Rivera Soto, Rafael A. and Chen, Barry and Andrews, Nicholas},
  booktitle = {Proceedings of the International Conference on Machine Learning},
  year      = {2026},
  url       = {https://arxiv.org/abs/2505.14608},
}
```