cwolff/SQaLe_2_Aggregated

该数据集是一个结构化数据集，主要用于自然语言处理（NLP）和数据库查询任务。它包含以下特征：问题文本、问题ID、SQL语句、难度级别、模式ID、完整模式描述、模式内容、相关表信息、相关表数量以及SQL执行结果。数据集分为训练集和测试集，训练集有85,082个示例，测试集有4,493个示例，总大小约为18.9 GB。该数据集可能用于训练和评估文本到SQL转换模型，支持数据库查询理解和生成任务。

This dataset is a structured dataset primarily designed for natural language processing (NLP) and database query tasks. It includes the following features: question text, question ID, SQL statement, difficulty level, schema ID, full schema description, schema content, relevant tables information, number of relevant tables, and SQL execution results. The dataset is split into training and test sets, with 85,082 examples in the training set and 4,493 examples in the test set, totaling approximately 18.9 GB in size. It is likely used for training and evaluating text-to-SQL conversion models, supporting tasks in database query understanding and generation.