fair-forward/evals-for-every-language-results

该数据集包含模型名称、语言代码、任务类型、评估指标和分数等信息，适用于机器学习模型的训练和评估。数据集分为训练集，提供了相关的字节数和示例数信息。默认配置下，训练数据可以通过指定路径进行访问。

The dataset includes information such as model name, language code, task type, evaluation metric, and score, which is suitable for machine learning model training and evaluation. The dataset is split into a training set with provided byte size and example count. Under the default configuration, the training data can be accessed via a specified path.