sibasmarakp/Llama-3.2-1B-Instruct-dvts-completions

提供的README内容描述了HuggingFaceH4_MATH-500的数据集配置，该数据集似乎与数学问题解决相关。数据集包含多个具有不同种子和聚合策略的配置。每个配置包含诸如problem（问题）、solution（解决方案）、answer（答案）、subject（主题）、level（级别）、unique_id（唯一标识符）、completions（完成情况）、pred（预测）、completion_tokens（完成标记）、scores（分数）、agg_scores（聚合分数）以及各种与预测相关的字段。数据集被分割为训练集，并指定了字节数和示例数。还包括评估配置，其中包含对朴素、加权和多数预测的准确性度量。该数据集设计用于数学问题解决任务，可能涉及语言模型或类似的AI系统。

The provided README content describes a dataset configuration for HuggingFaceH4_MATH-500, which appears to be related to mathematical problem-solving. The dataset includes multiple configurations with different seeds and aggregation strategies. Each configuration contains features such as problem, solution, answer, subject, level, unique_id, completions, pred, completion_tokens, scores, agg_scores, and various prediction-related fields. The dataset is split into training sets with specified numbers of bytes and examples. There are also evaluation configurations that include accuracy metrics for naive, weighted, and majority predictions. The dataset is designed for mathematical problem-solving tasks, likely involving language models or similar AI systems.