interaction match accuracy: 45.2question match accuracy: 67.7
Papers with Code · CC BY-SA 4.0
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>
개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.
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데이터셋
11개논문
Exact Match Accuracy (in Dev): 75.5Execution Accuracy (in Dev): 79.3
interaction match accuracy: 25.3question match accuracy: 47.9
interaction match accuracy: 23.5question match accuracy: 45.9
interaction match accuracy: 42.9question match accuracy: 64.6
0-shot MRR: 74.17
interaction match accuracy: 43.2question match accuracy: 65.7
interaction match accuracy: 38.1question match accuracy: 62.4
interaction match accuracy: 5.2question match accuracy: 20.2
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