> Canonical page: https://posttrainllm.com/inspiration/sqlcoder

A note of thanks · Evaluation

# SQLCoder and Arctic Text2SQL

These SQL projects raised the standard of evidence. A query that resembles the reference text is less useful than a query that executes correctly against a serious shared benchmark.

01 · The idea

## What stayed with us

Strong SQL systems report execution accuracy on substantial SQL benchmarks rather than relying on exact string match alone.

02 · The local translation

## What we did with it

PostTrainLLM treats Spider or BIRD-style execution as a required public gate before elevating a SQL result beyond a local fixture.

03 · The boundary

## Where the comparison stops

External category scores remain non-comparable until the same dataset, schema context, prompting, and execution rules are used.

Source trail

## Follow the work

- Original project [Defog SQLCoder ↗](https://github.com/defog-ai/sqlcoder)
- Further reading [Arctic Text2SQL ↗](https://www.snowflake.com/en/blog/engineering/arctic-text2sql-r1-sql-generation-benchmark/)
- Our evidence · adopted as evaluation guidance [Defog SQLCoder and Arctic Text2SQL class models ↗](https://posttrainllm.com/studies/defog-sqlcoder-arctic-text2sql)

Independent appreciation. The named projects have not endorsed or affiliated with PostTrainLLM.