shay681/Legal_Clauses

该数据集是从[LevMuchnik/SupremeCourtOfIsrael](https://huggingface.co/datasets/LevMuchnik/SupremeCourtOfIsrael)数据集中提取的法律条款子集。使用[shay681/HeBERT_finetuned_Legal_Clauses](https://huggingface.co/shay681/HeBERT_finetuned_Legal_Clauses)模型进行处理，提取了文本列中的法律条款。数据集结构为json lines文件，每条记录对应一个文档，包含文档标识、文本和元数据。数据字段包括Id（文档id）、text（文档文本）和Legal_Clauses_Found（从文本列中提取的法律条款）。整个数据集被标记为train。

This dataset is a subset of the [LevMuchnik/SupremeCourtOfIsrael](https://huggingface.co/datasets/LevMuchnik/SupremeCourtOfIsrael) dataset. It has been processed using the [shay681/HeBERT_finetuned_Legal_Clauses](https://huggingface.co/shay681/HeBERT_finetuned_Legal_Clauses) model, which extracted the legal clauses from the text column. The dataset is stored in json lines format, with each line corresponding to a single document and containing document identification, text, and metadata. The dataset includes three fields: Id (document id), text (document text), and Legal_Clauses_Found (legal clauses extracted from the text column). The entire dataset is labeled as train. The dataset was created by Shay Doner as part of his final project for the intelligent systems M.Sc program at Afeka College.