NAT-NL2GQL: A Novel Multi-Agent Framework for Translating Natural Language to Graph Query Language

A NL2GQL dataset.

Given the scarcity of high-quality open-source NL2GQL datasets based on nGQL syntax, we developed StockGQL, a dataset constructed from a financial market graph database, which will be released publicly for future researches.

source_data: https://drive.google.com/file/d/1ZKO3pzzYerGiCqNhhxBqHjdkstzhtRcf/view?usp=drive_link （This is the first version of the dataset, which is relatively easy. We are about to release a second version that is more complex, conversational, and aligned with real-world scenarios.）