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Evaluation framework (evals/): benchmarking system for measuring accuracy
across four categories — Chat (WildChat), Reasoning (SuperGPQA), RAG (FRAMES),
and Agentic (GAIA). Two backends: jarvis-direct (engine-level) and jarvis-agent
(agent-level with tool calling), both supporting local and cloud models.
Datasets adapted from IPW, scorers include exact match, LLM letter extraction,
and LLM-as-judge. Parallel execution via ThreadPoolExecutor with incremental
JSONL output. CLI: python -m evals {run,run-all,summarize,list}. 57 tests pass.
SVG fix: center logo content within viewBox by wrapping icon+text in a
translate(90,0) group, eliminating the left-shift visible in the README.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
24 lines
477 B
TOML
24 lines
477 B
TOML
[project]
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name = "openjarvis-evals"
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version = "0.1.0"
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description = "Evaluation framework for OpenJarvis"
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requires-python = ">=3.10"
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dependencies = [
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"openjarvis>=1.0.0",
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"click>=8",
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"datasets>=2.14",
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"huggingface-hub>=0.20",
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"tqdm>=4.65",
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"rich>=13",
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]
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[project.optional-dependencies]
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dev = ["pytest>=8", "pytest-cov>=5"]
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[project.scripts]
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openjarvis-eval = "evals.cli:main"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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