enhance Spider benchmarking #154
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- Add evaluation utilities for Spider dataset benchmarking - Implement SQLite connector for Spider database support - Update schema selection and query generation prompts - Add evaluation notebook with benchmarking results - Update dependencies in pyproject.toml files
- Update SQL connectors in text_2_sql_core - Enhance AutoGen agents for parallel query solving - Update schema selection agents - Format code with black and fix linting issues - Update dependencies
- Resolve merge conflicts in autogen_text_2_sql.py - Update database result handling in parallel_query_solving_agent.py - Standardize message handling in sql_schema_selection_agent.py - Enhance evaluation utils with query normalization and validation - Update environment variable names in inner_autogen_text_2_sql.py - Expand database engine support in database.py - Apply black formatting to all modified files
Applied black code formatting to: - llm_model_creator.py - open_ai.py - sql.py - sqlite_sql.py - sql_schema_selection_agent.py - data_dictionary_creator.py - sqlite_data_dictionary_creator.py - create_spider_schema.py
Added evaluation functionality using Spider benchmark dataset to assess text-to-sql performance
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This PR enhances Spider evaluation capabilities.
Key Changes: