Repository for resources related to translating natural language into Cypher queries.

Includes datasets of natural language and corresponding Cypher query pairs, along with graph information for evaluation.

Contains notebooks that detail different methods for evaluating large language models (LLMs) on the datasets provided. Each notebook should provide a step-by-step guide on assessing model accuracy and performance in real-world scenarios.

Provides notebooks and scripts for finetuning LLMs using the datasets. These resources are intended to help improve model performance in natural language to Cypher translation.

Contributions are welcome. If you have improvements or new features to suggest, please submit a pull request or open an issue.