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SOTA
代码生成
Code Generation On Wikisql
Code Generation On Wikisql
评估指标
Exact Match Accuracy
Execution Accuracy
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Exact Match Accuracy
Execution Accuracy
Paper Title
Repository
NL2SQL-RULE
83.7
89.2
Content Enhanced BERT-based Text-to-SQL Generation
TypeSQL+TC (Yu et al., 2018)+
-
82.6
TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation
Tranx
68.6
78.6
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
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
PT-MAML (Huang et al., 2018)
62.8
68.0
Natural Language to Structured Query Generation via Meta-Learning
Bidirectional Attention for SQL Generation
69
62.5
Bidirectional Attention for SQL Generation
Seq2SQL (Zhong et al., 2017)
48.3
59.4
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
Seq2Seq (Zhong et al., 2017)
23.4
35.9
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
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Code Generation On Wikisql | SOTA | HyperAI超神经