param-bharat/context_relevance_balanced

该数据集包含多个字段，包括文档（document）、文档标签（document_label）、问题（question）、回答（response）、句子标签（sentence_labels）和数据集名称（dataset_name）。数据集被分为训练集、测试集和验证集，分别包含1,349,810、41,504和140,286个示例。数据集的总大小为1,474,349,838字节，下载大小为824,397,450字节。该数据集可能用于自然语言处理任务，如问答系统或文本分类。

The dataset includes multiple fields such as document, document_label, question, response, sentence_labels, and dataset_name. It is divided into training, test, and validation sets, containing 1,349,810, 41,504, and 140,286 examples respectively. The total size of the dataset is 1,474,349,838 bytes, with a download size of 824,397,450 bytes. This dataset is likely used for natural language processing tasks such as question answering systems or text classification.