Auto86%Harbor: pendingCoding

SCCGBench

Service-Call Code Generation Benchmark

A benchmark of 3,135 real-world RapidAPI call functions measuring executability and service-interface grounding for LLM-generated code.

How to run

ltb · sccgbench
$ npm i -g lettokenburn-cli
$ ltb bench info sccgbench

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

6 sourced entries
HarnessSourceConfidenceLink
DeepSeek V4 Pro3.8N/AIndependentmediumOct 9, 2026arxiv.org
DeepSeek-Coder-Instruct 33B2.9N/AIndependentmediumOct 9, 2026arxiv.org
Qwen2.5-Coder-32B-Instruct2.9N/AIndependentmediumOct 9, 2026arxiv.org
CodeGemma-7B1.3N/AIndependentmediumOct 9, 2026arxiv.org
Qwen2.5-Coder-7B0.7N/AIndependentmediumOct 9, 2026arxiv.org
DeepSeek-Coder-Instruct 1.3B0.0N/AIndependentmediumOct 9, 2026arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

All runs
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About

SCCGBench contains 3,135 traceable samples from GitHub repositories, using redacted intents to reduce data contamination. It evaluates Web service-call code generation against official documentation.

Scoring uses Mock (virtual-execution hit) and Robust metrics with parameter-level diagnostics. Results show low intent-only success (~3.76%) but high oracle performance (~90%), highlighting API grounding as the main bottleneck.