Dhananjay99/pubmed_inference

该数据集包含三种配置：clf、ft和po。每种配置都具有特定的特征，例如背景上下文、句子ID、输入上下文、上下文ID、问题、长答案、答案等，具体取决于配置。数据集分为训练集和验证集，具有各自的尺寸和示例数量。README中详细提供了每个分割的大小和示例数量。此外，还提供了数据集的下载大小和总大小信息。每个配置和分割的数据文件位于特定的路径下。

The dataset consists of three configurations: clf, ft, and po. Each configuration has specific features such as background context, sentence_id, input context, context_id, question, long_answer, answer, and others depending on the configuration. The dataset is split into training and validation sets with respective sizes and number of examples. Detailed information about the number of bytes and examples for each split is provided. Additionally, the download size and the total size of the dataset are mentioned. The data files for each configuration and split are located in specific paths.