StockGQL

该数据集是从金融市场图数据库构建的，旨在推进将自然语言转换为图查询语言（NL2GQL）的研究。该数据集包含了遮蔽的查询和GQL，这允许进行多样化的训练场景，并包含了用于模式提取、数据验证以及实体名称口语化的组件。该数据集规模庞大，含有大量生成的遮蔽的NL-GQL数据对，其任务是将自然语言查询翻译成图查询语言（Gql）。

This dataset is constructed from financial market graph databases, with the objective of advancing research on natural language to graph query language (NL2GQL). It contains masked queries and GQL, which enable diverse training scenarios, and incorporates components for pattern extraction, data validation, and colloquial rendering of entity names. Boasting a large scale, the dataset includes a vast number of generated masked NL-GQL data pairs, dedicated to the task of translating natural language queries into graph query language (GQL).