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Text2GQL-Bench: New Graph Query Benchmark

Text2GQL-Bench: New Graph Query Benchmark
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πŸ“„Read original on ArXiv AI
#research#text2gql-bench#graph-databases#text-to-gqltext2gql-bench

⚑ 30-Second TL;DR

What Changed

178k pairs spanning 13 domains and multiple GQLs

Why It Matters

Addresses gaps in domain coverage and evaluation for Text-to-GQL systems, enabling systematic model comparisons. Highlights dialect challenges in graph queries, spurring LLM advancements for GDBMS agents. Democratizes graph data analysis via natural language.

What To Do Next

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Who should care:Researchers & Academics

Key Points

  • β€’178k pairs spanning 13 domains and multiple GQLs
  • β€’Scalable framework for diverse datasets
  • β€’Comprehensive eval beyond end-to-end metrics
  • β€’LLM gaps: 4% zero-shot EX on ISO-GQL, 45% fine-tuned
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