Probe-Ably Configuration Dataset

该数据集包含了使用Probe-Ably框架进行探针实验的配置，这一框架允许用户自定义探针模型、评估指标以及探针设置的各种方面。用户可以通过修改定义任务、表示、训练制度等内容的探针配置文件，来扩展和自定义数据集。其规模根据用户定义的配置而有所不同。该数据集的任务是对神经网络模型表示进行探针实验。

This dataset contains configurations for probing experiments implemented via the Probe-Ably framework, which allows users to customize probe models, evaluation metrics, and all aspects of the probing setup. Users can extend and customize this dataset by modifying the probing configuration files that define tasks, model representations, training regimes, and other relevant components. The scale of the dataset varies depending on the user-defined configurations. The core task of this dataset is to perform probing experiments on the representations of neural network models.