mlfoundations-dev/base_get_difficulty_seed_code

该数据集包含问题、来源、领域、难度及其原因等字段，适用于机器学习模型训练，尤其是那些需要评估问题难度和领域相关性的模型。训练集包含了超过97万个样本，数据集的总大小为约1.2GB。

The dataset includes fields such as problem, source, domain, difficulty, and reasoning for difficulty, which is suitable for machine learning model training, especially for models that need to evaluate problem difficulty and domain relevance. The training set contains more than 970,000 samples, and the total size of the dataset is approximately 1.2GB.