kshitijthakkar/smoalagent-results-21102025-metrics

本数据集包含三个主要字段：name（名称）、type（类型）和data_points（数据点）。数据点进一步划分为attributes（属性）和value（值）两个子字段，其中属性包含成功率（success_rate）和总测试数（total_tests），值包含平均值（avg）、计数（count）、总和（sum）和值本身（value）。数据集分为训练集（train），训练集大小为421字节，共有5个示例。数据集的总下载大小为4677字节。

The dataset includes three main fields: name, type, and data_points. Data points are further divided into two sub-fields, attributes and value. Attributes include success_rate and total_tests, while value includes average (avg), count, sum, and the value itself. The dataset is split into a training set (train), which is 421 bytes in size and contains 5 examples. The total download size of the dataset is 4677 bytes.