Exact Match Accuracy (in Dev): 75.5Execution Accuracy (in Dev): 79.3
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Text-To-SQL
Text-to-SQL is a task in natural language processing (NLP) where the goal is to automatically generate SQL queries from natural language text. The task involves converting the text input into a structured representation and then using this representation to generate a semantically correct SQL query that can be executed on a database.
<span style="color:grey; opacity: 0.6">( Image credit: SyntaxSQLNet )</span>
논문
interaction match accuracy: 45.2question match accuracy: 67.7
Exact Match (EM): 26.77
Execution Accuracy (Test): 89.65
Execution Accuracy (Dev): 81.8Execution Accuracy (Test): 82.3
Exact Match Accuracy (Dev): 81.6Execution Accuracy (Dev): 87.2
Exact Match Accuracy (Test): 60Execution Accuracy (Test): 85.3
interaction match accuracy: 25.3question match accuracy: 47.9
Exact Match Accuracy (Dev): 77.1Execution Accuracy (Dev): 81.0Execution Accuracy (Test): 77.6
interaction match accuracy: 23.5question match accuracy: 45.9
interaction match accuracy: 42.9question match accuracy: 64.6
Exact Match Accuracy (Dev): 69.4Execution Accuracy (Dev): 73.7Execution Accuracy (Test): 78
Execution Accuracy (Dev): 83.6Execution Accuracy (Test): 84.0
Execution Accuracy (Test): 84.7
0..5sec: dafa
0-shot MRR: 74.17
interaction match accuracy: 43.2question match accuracy: 65.7
Exact Match Accuracy (Test): 66.6Execution Accuracy (Test): 87.6
Exact Match Accuracy (Dev): 80.5Exact Match Accuracy (Test): 72.0Execution Accuracy (Dev): 84.1Execution Accuracy (Test): 79.9
Exact Match Accuracy (Dev): 66.6Exact Match Accuracy (Test): 58.2
Exact Match Accuracy (Dev): 73.1Exact Match Accuracy (Test): 70.1
interaction match accuracy: 38.1question match accuracy: 62.4
interaction match accuracy: 5.2question match accuracy: 20.2
Exact Match Accuracy (Dev): 77.2Exact Match Accuracy (Test): 72.4Execution Accuracy (Test): 75.2
Exact Match Accuracy (Dev): 74.4Execution Accuracy (Dev): 84.4Execution Accuracy (Test): 86.6