bio-nlp-umass/Synth-PPD

Synth-PPD是一个包含7,579个合成示例的数据集，用于文本分类任务，主要标注parole（假释）、probation（缓刑）或unclear（不明确）的标签。每个示例还包括presence（存在性）、period（时期）和reasoning（推理）等标注信息。数据集以JSON文件形式发布，包含Text（文本序列）、idx（唯一标识符）、Label（标签）、Presence（存在性标注）、Period（时期标注）和Reasoning（推理标注）等字段。数据集分为训练集（5,305个示例）、验证集（757个示例）和测试集（1,517个示例），此外还有一个test_hr分割，包含人类专家标注和额外的Rating列（基于4点Likert量表）。数据集主要用于从电子健康记录中检测假释和缓刑相关文本，支持使用Hugging Face的datasets库或pandas等工具加载。语言为英语，许可证为Apache-2.0，大小类别在1K到10K之间。

Synth-PPD is a collection of 7,579 synthetic examples annotated for parole, probation or unclear (Label). Annotations also include information such as presence, period and annotation reasoning. The dataset is released as JSON files with fields including Text (text sequence), idx (unique identifier), Label (parole/probation annotation), Presence (presence annotation), Period (period annotation), and Reasoning (rationales for annotations). It has splits for training (5,305 examples), validation (757 examples), and test (1,517 examples), along with an additional test_hr split with human expert annotations and a Rating column on a 4-point Likert scale. The dataset is designed for text classification tasks, specifically for detecting parole and probation from electronic health records, and can be loaded using the Hugging Face datasets library or tools like pandas. The language is English, licensed under Apache-2.0, with a size category of 1K<n<10K.