כתבה
arXiv cs.LG ·
FALCON: פלקון - תשתית לדיווח נתונים סינתטיים לצורך NL2SQL
FALCON: A Model and Dataset Agnostic Framework for Synthetic Data Generation for NL2SQL Pairs
פלקון מפיקה נתונים NL2SQL סינתטיים מדויקים, עם הכללות ומורכבות.
תקציר מקורי באנגליתarXiv:2610.03625v1 Announce Type: cross Abstract: Relational databases are among the most widely deployed forms of structured knowledge, and natural language access to them requires grounding language onto schema entities and relations while handling the ambiguity inherent in how people phrase requests. Existing synthetic NL-to-SQL data generation methods largely ignore this ambiguity and produce oversimplified queries that fail to prepare models for the complexity of real-world structured knowledge access. We present FALCON, a framework that generates realistic, ambiguity-aware NL-to-SQL data matching the complexity of challenging real-world benchmarks, at low cost using compact open models. Our approach combines reserved-word SQL seeding and persona-based prompting to generate structural
קרא במקור המקורי
arxiv.org
פתח כתבה מקורית