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Code Generation On Wikisql

Métriques

Exact Match Accuracy

Execution Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Exact Match Accuracy	Execution Accuracy	Paper Title	Repository
Bidirectional Attention for SQL Generation	69	62.5	Bidirectional Attention for SQL Generation	-
TypeSQL+TC (Yu et al., 2018)+	-	82.6	TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation	-
Seq2SQL (Zhong et al., 2017)	48.3	59.4	Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning	-
NL2SQL-RULE	83.7	89.2	Content Enhanced BERT-based Text-to-SQL Generation	-
Tranx	68.6	78.6	TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation	-
Seq2Seq (Zhong et al., 2017)	23.4	35.9	Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning	-
PT-MAML (Huang et al., 2018)	62.8	68.0	Natural Language to Structured Query Generation via Meta-Learning	-
STAMP+RL (Sun et al., 2018)+	61.0	74.6	Semantic Parsing with Syntax- and Table-Aware SQL Generation	-
STAMP (Sun et al., 2018)+	60.7	74.4	Semantic Parsing with Syntax- and Table-Aware SQL Generation	-
TypeSQL (Yu et al., 2018)	-	73.5	TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation	-

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Code Generation On Wikisql | SOTA | HyperAI