PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems
Enterprise property graphs vary widely in schema structure, internal terminology, domain assumptions, governance constraints, and user interaction patterns. A deployment-relevant Text2Cypher benchmark therefore reflects the questions users and agents actually ask of that graph. Creating such a benchmark is difficult because schemas and values are unique, and graph structure changes over time. Each NL-query pair must also be executable, use real graph entities, preserve diversity, and remain bala
Record details
Published: 7 June 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (7 June 2026), “PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems,” evidence record 1306, https://ethics.ai/record/1306 (originally published by arXiv).
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