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Models/T5-3B+NatSQL+Token Preprocessing

T5-3B+NatSQL+Token Preprocessing

Reported on 6 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing6 results

  • Semantic Parsingonspider
    Exact Match Accuracy (Dev)· 2023-05-27
    69.4
    best: 81.6 (datagpt-sql-7B + InvalidSQL-Feedback)
    Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based TechniquesarXiv:2305.17378
  • Semantic Parsingonspider
    Execution Accuracy (Dev)· 2023-05-27
    73.7
    best: 87.2 (datagpt-sql-7B + InvalidSQL-Feedback)
    Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based TechniquesarXiv:2305.17378
  • Semantic Parsingonspider
    Execution Accuracy (Test)· 2023-05-27
    78
    best: 89.65 (XiYan-SQL)
    Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based TechniquesarXiv:2305.17378
  • Text-To-SQLonspider
    Exact Match Accuracy (Dev)· 2023-05-27
    69.4
    best: 81.6 (datagpt-sql-7B + InvalidSQL-Feedback)
    Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based TechniquesarXiv:2305.17378
  • Text-To-SQLonspider
    Execution Accuracy (Dev)· 2023-05-27
    73.7
    best: 87.2 (datagpt-sql-7B + InvalidSQL-Feedback)
    Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based TechniquesarXiv:2305.17378
  • Text-To-SQLonspider
    Execution Accuracy (Test)· 2023-05-27
    78
    best: 89.65 (XiYan-SQL)
    Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based TechniquesarXiv:2305.17378