Freeze mixed-file retrieval diagnostic and shared-engine evaluator
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# Mixed All-files diagnostic v1
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This is a frozen, small diagnostic, **not a production quality score**. No mixed
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model run has been performed yet.
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The corpus contains 32 actual files: six searchi implementations, four searchi
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technical documents, two complete pinned llama.cpp source files, and twenty
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existing licensed media files. Source snapshots retain exact original bytes;
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`fixture.json` records upstream paths, commits, SHA-256, sizes, and licenses.
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The llama.cpp copies come from committed upstream objects, excluding local
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runtime patches. Its MIT notice is in `LLAMA-LICENSE.txt`. Media files are
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referenced from `../media/assets` rather than duplicated. Their source URLs,
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licenses, independently observed labels and attribution remain in
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[the media fixture](../media/README.md).
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There are 91 frozen queries: English/German implementation and document pairs,
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65 reused media queries, four additional absent-content queries and four pinned
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upstream implementation queries. Code queries run in both All files and Code
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scope. Documents about the implementation coexist with the code, providing
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realistic competing content. Speech, music, images and videos compete with
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both. The case asking for code that chooses speech search is intentional: it
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can expose audio-intent routing that suppresses a relevant implementation.
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Labels were written by one annotator before **mixed** inference. Existing media
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results had already been observed in their separate evaluation, so this is not
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an untouched held-out media benchmark. searchi sources are the application's
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own repository; the two llama.cpp files add external code, but do not establish
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quality across unrelated real projects. Never adjust v1 labels after seeing
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mixed results. Corrections require a new fixture version, explicit reasoning,
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and a new pre-inference lock. A second blinded human review remains open.
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Run `python tools/mixed-eval/evaluate.py --verify-only` to verify labels and all
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source/media bytes without invoking a model. See
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[the evaluator instructions](../../tools/mixed-eval/README.md) for real runs.
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