BASF-AI/PubChemWikiZHPC

该数据集是[PubChem & Wikipedia Paragraphs Pair Classification](https://huggingface.co/datasets/BASF-AI/PubChemWikiParagraphsPC)数据集的多语言扩展版本。它包含英文和中文的段落对（sent1和sent2），并带有一个二进制标签列（labels），用于指示这些段落是否描述相同的实体（1）或不同的实体（0）。数据集主要用于文本分类任务，涉及化学、维基百科、ChemTEB和PubChem等领域。数据集包含一个测试集，大小为1,442个样本，文件大小为1,054,930字节。

This dataset is a multilingual extension of the [PubChem & Wikipedia Paragraphs Pair Classification](https://huggingface.co/datasets/BASF-AI/PubChemWikiParagraphsPC) dataset. It includes pairs of paragraphs in English and Chinese (sent1 and sent2) with a binary labels column indicating whether the paragraphs describe the same entity (1) or different entities (0). The dataset is primarily used for text classification tasks, involving fields such as chemistry, Wikipedia, ChemTEB, and PubChem. The dataset contains a test set with 1,442 samples and a file size of 1,054,930 bytes.