CypherBench
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Text-to-Cypher is a task in natural language processing (NLP) where the goal is to generate Cypher queries from natural language text automatically.
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Click to add a brief description of the dataset (Markdown and LaTeX enabled). Provide: * a high-level explanation of the dataset characteristics * explain motivations and summary of its content * potential use cases of the dataset
The first dataset contains annotated natural language queries (i.e. Mandarin) with their Cypher equivalent. It is made up of: - A Neo4j database - 10000 pairs of Text-Cypher queries
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.