defog-ai/sql-eval

• hightopics#1

  Add relevant topics for Text-to-SQL evaluation

  原因：

  复制粘贴的修复

  复制

  llm, text-to-sql, sql-evaluation, nlp, generative-ai, benchmarking, data-science, machine-learning, ai-models

  待办完成忽略
• highreadme#2

  Reposition README H1/intro to clearly state its purpose as a Text-to-SQL evaluation framework

  原因：

  当前

  # SQL Generation Evaluation
  
  This repository contains the code that Defog uses for the evaluation of generated SQL. It's based off the schema from the Spider, but with a new set of hand-selected questions and queries grouped by query category. For an in-depth look into our process of creating this evaluation approach, see this.

  复制粘贴的修复

  复制

  # SQL Generation Evaluation: A Semantic Benchmarking Framework for LLM-Generated SQL
  
  This repository provides Defog's robust framework for semantically evaluating the accuracy of SQL queries generated by Large Language Models (LLMs). Unlike tools that only parse or generate SQL, `sql-eval` focuses on comparing the *results* of generated SQL against gold-standard queries, ensuring true correctness. It's based on the Spider schema, enhanced with hand-selected questions and queries grouped by category.

  待办完成忽略
• mediumhomepage#3

  Add a homepage URL to the Defog AI website

  原因：

  复制粘贴的修复

  复制

  https://defog.ai

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How can I measure the correctness of SQL queries produced by large language models?

  你：未被推荐
  AI 推荐顺序：

  1. SQLFlow (sqlflow-dev/sqlflow)
  2. SQLGlot (tobymao/sqlglot)
  3. psycopg2 (psycopg/psycopg2)
  4. mysql-connector-python (mysql/mysql-connector-python)
  5. sqlite3
  6. pandas (pandas-dev/pandas)
  7. sqlfluff (sqlfluff/sqlfluff)
  8. pgFormatter (darold/pgFormatter)
  9. PyTest (pytest-dev/pytest)

  AI 推荐了 9 个替代方案，却始终没点名 defog-ai/sql-eval。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What tools are available for benchmarking the accuracy of text-to-SQL models?

  你：未被推荐
  AI 推荐顺序：

  1. Spider Dataset (https://github.com/taoyds/spider)
  2. WikiSQL Dataset (https://github.com/salesforce/WikiSQL)
  3. Hugging Face `evaluate` library (https://github.com/huggingface/evaluate)
  4. SQLFlow (https://github.com/sql-flow/sqlflow)
  5. `cx_Oracle` (https://github.com/oracle/python-cx_Oracle)
  6. `pyodbc` (https://github.com/mkleehammer/pyodbc)

  AI 推荐了 6 个替代方案，却始终没点名 defog-ai/sql-eval。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of defog-ai/sql-eval?

  pass
  ✓AI 明确点名了 defog-ai/sql-eval

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts defog-ai/sql-eval in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 defog-ai/sql-eval

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo defog-ai/sql-eval solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 defog-ai/sql-eval

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？