sibasmarakp/Qwen2.5-1.5B-Instruct-best_of_n-completions

该数据集未在README中提供直接描述，但通过分析其特征和配置，可以推断出它与数学问题及其解决方案相关。特征包括problem（问题）、solution（解决方案）、answer（答案）、subject（主题）、level（级别）以及各种与预测相关的字段，表明它可能用于评估或训练模型在数学问题解决任务上的表现。数据集被分为多个配置，每个配置使用不同的种子和聚合策略，训练集中包含500个示例。

The dataset does not provide a direct description in the README. However, by analyzing its features and configurations, it can be inferred that it is related to mathematical problems and their solutions. Features include problem, solution, answer, subject, level, and various prediction-related fields, suggesting it might be used for evaluating or training models on mathematical problem-solving tasks. The dataset is split into multiple configurations with different seeds and aggregation strategies, each containing 500 examples in the training split.