bespokelabs/devrev-demo-eval-finetuned-model

该数据集使用Curator工具创建，包含自然语言查询、对应的Wisp查询（包括语义和句法查询）、复杂度级别以及一个经过微调的模型生成的结果。具体内容为一个示例，展示了如何根据用户查询来推断并构造查询 tickets 的 structured query，以筛选与AWS集成应用相关的tickets。数据集的具体应用场景和详细内容未在README中描述。

This dataset was created using the Curator tool and includes natural language queries, corresponding Wisp queries (both semantic and syntactic), complexity levels, and results generated by a fine-tuned model. The content is a sample that demonstrates how to infer and construct a structured query to filter tickets related to the AWS integration app based on a user query. The specific application scenario and detailed content of the dataset are not described in the README.