ambrosfitz/ranker-continuous-filt-lb-en-only

该数据集是一个包含问题、答案和相关特征的数据集，用于训练机器学习模型。数据集中的每个样本都包含了问题、答案、文档ID、行ID、上下文文本以及一些用于评估模型性能的得分概率值等字段。数据集分为训练集，共有338240个示例，文件大小为2.4GB。数据集支持配置，默认配置下训练集的文件路径以data/train-*为模式。

This dataset is a collection of questions, answers, and related features intended for training machine learning models. Each sample in the dataset includes fields such as question, answer, document ID, row ID, context text, and some score probabilities for evaluating model performance. The dataset is split into a training set with a total of 338,240 examples and a file size of 2.4GB. The dataset supports configuration, with the default configuration specifying training set file paths following the pattern data/train-*.