style-aware-paraphraser-author-bank-reddit
收藏资源简介：
本数据集名为“Style-Aware Paraphraser — Reddit Author Targets Bank”，是一个用于风格感知文本复述任务的目标风格参考库。它包含了12,000个匿名Reddit作者，每个作者对应一个数据条目。每个条目提供两个核心部分：1) `reference_text`：包含来自同一作者的16条历史评论，作为该作者写作风格的示例；2) `paraphrase_reference_text`：为上述16条评论中的每一条，提供了5个由Mistral-7B模型生成的复述版本。数据集的核心用途是作为配套风格感知复述模型的目标风格输入源。用户可以选择一个作者条目，将其`reference_text`和`paraphrase_reference_text`提供给模型，模型即可学习并模仿该作者的写作风格，对其他机器生成的文本进行风格化重写。数据来源于Reddit，但不包含用户名等身份信息，仅保留用于表征写作风格的文本内容。数据集适用于文本风格迁移、文本复述、机器生成文本检测等研究任务。
This dataset is named Style-Aware Paraphraser — Reddit Author Targets Bank, which is a target style reference library for style-aware text paraphrasing tasks. It includes 12,000 anonymous Reddit authors, each corresponding to a data entry. Each entry provides two core components: 1) `reference_text`: contains 16 historical comments from the same author, serving as examples of that authors writing style; 2) `paraphrase_reference_text`: for each of the 16 comments, provides 5 paraphrased versions generated by the Mistral-7B model. The core purpose of the dataset is to serve as a target style input source for accompanying style-aware paraphrasing models. Users can select an author entry and provide its `reference_text` and `paraphrase_reference_text` to the model, enabling the model to learn and imitate that authors writing style for stylized rewriting of other machine-generated texts. The data is sourced from Reddit but does not include identity information such as usernames, retaining only text content that characterizes writing style. The dataset is suitable for research tasks such as text style transfer, text paraphrasing, and machine-generated text detection.
数据集概述
数据集名称：Style-Aware Paraphraser — Reddit Author Targets Bank
语言：英语
许可证：MIT
任务类别：文本生成
标签：风格迁移、释义、机器文本检测、Reddit
数据规模：10K < n < 100K
数据集内容
该数据集包含一个由 12,000 位匿名 Reddit 作者 组成的作者库，每位作者提供：
- 16 条示例评论（作为风格范例）
- 每条评论的 5 条 Mistral-7B 释义
数据集中不包含 Reddit 用户名，仅保留用于表征写作风格的评论文本。
数据模式（author_bank.jsonl）
| 字段 | 类型 | 描述 |
|---|---|---|
reference_text |
list[str] (16) | 来自同一作者的 16 条历史评论（风格范例） |
paraphrase_reference_text |
list[list[str]] | 每条范例评论对应的 5 条 Mistral-7B 释义 |
预期用途
该数据集作为风格感知释义器的目标风格输入侧。用户可选择一行数据，将 reference_text 和 paraphrase_reference_text 传递给模型 rrivera1849/style-aware-paraphraser-mistral7b，模型即可将任何机器文本改写成该作者的风格。
使用示例（流式加载）： python from datasets import load_dataset ds = load_dataset("rrivera1849/style-aware-paraphraser-author-bank-reddit", split="train", streaming=True) target = next(iter(ds))
许可与引用
- 许可证：MIT。底层 Reddit 文本受 Reddit 内容许可约束，请参阅原始 Reddit Million Users Dataset 获取条款。
- 引用： 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}, }
