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Add CC BY 4.0 license and source credits (#37)

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- Add CC BY 4.0 license and source credits (17348c4bcf59b77e983db0b14678867472180fdf)

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  1. README.md +7 -2
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  ---
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  language: []
 
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  pretty_name: Perch Benchmark Results
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  viewer: false
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  ---
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  # Perch benchmark results
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- This benchmark compares [TypeSafe's Jev](https://typesafe.ai/blog/introducing-system-one-models-and-jev), a [System One classifier](https://typesafe.ai/), with other classifiers on finding bugs and security issues in individual code methods. Each record contains a method before and after a transaction change, plus input adapted from a [Perch scan](https://github.com/lakeday-org/perch): method source, imports, callers, callees, and static call-graph edges where available. Models score each version independently, without seeing the repair. Benign reference methods are included, so a `before` method is not automatically positive.
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- Pairs come from open-source projects in Rust, JavaScript, TypeScript, Python, Go, Java, C, C++, C#, PHP, and other languages. Bug, security, and user-written semantic lint rules are separate tracks. Public and private splits are disjoint by source repository.
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  ## Inference source
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  are recorded as failed requests, without a probability score. The six-set local
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  run used 24 workers and a request limiter of 1.5 million estimated input tokens
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  per minute. Recorded method elapsed times include client throttling and rate-limit backoff. The public manifest contains only the three public sets.
 
 
 
 
 
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  language: []
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+ license: cc-by-4.0
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  pretty_name: Perch Benchmark Results
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  viewer: false
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  ---
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  # Perch benchmark results
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+ This benchmark measures how well a model finds bugs and security issues in a single code method, and how often it flags clean code. Each record contains a method before and after a code change, plus input adapted from a [Perch scan](https://github.com/lakeday-org/perch): method source, imports, callers, callees, and static call-graph edges where available. Models score each version independently, without seeing the repair. Benign reference methods are included, so a `before` method is not automatically positive.
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+ Pairs come from open-source projects in Rust, JavaScript, TypeScript, Python, Go, Java, C, C++, C#, PHP, and other languages. Bug, security, and user-written semantic lint rules are separate tracks. Public and private splits are disjoint by source repository. Any classifier or LLM can be scored with the command adapter under [Files and reproduction](#files-and-reproduction).
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  ## Inference source
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  are recorded as failed requests, without a probability score. The six-set local
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  run used 24 workers and a request limiter of 1.5 million estimated input tokens
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  per minute. Recorded method elapsed times include client throttling and rate-limit backoff. The public manifest contains only the three public sets.
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+ ## License
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+ Results, predictions, the question pack and this card: [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Scripts (`*.py`, `*.mjs` and `adapters/`): MIT. The pair data lives in the [bug](https://huggingface.co/datasets/perchscan/bug-pairs-public), [security](https://huggingface.co/datasets/perchscan/security-pairs-public) and [lint](https://huggingface.co/datasets/perchscan/perch-lint-bench-public) datasets, each with its own license and source credits.