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- Add root CONTRIBUTING.md with incentives (paper acknowledgment, Mac Mini giveaway), contribution tiers, PR process, and maintainership path - Add CODE_OF_CONDUCT.md (Contributor Covenant v2.1) - Add .pre-commit-config.yaml with ruff lint + format hooks - Add GitHub issue templates (bug report, feature request, new eval dataset) - Add PR template with test/lint/format checklist - Rewrite docs roadmap with GitHub Projects structure, current focus areas, and collapsible version history - Remove Development section from MkDocs nav; replace with top-level Roadmap tab - Delete changelog, extending docs (consolidated into CONTRIBUTING.md) - Delete root ROADMAP.md (content now lives in docs site) - Add pre-commit to dev extras in pyproject.toml - Add Roadmap link to README Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
64 lines
1.5 KiB
YAML
64 lines
1.5 KiB
YAML
name: New Eval Dataset
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description: Propose a new evaluation dataset or benchmark
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labels: ["type:eval"]
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body:
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- type: markdown
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attributes:
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value: |
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Adding eval datasets is one of the easiest ways to contribute! Fill out the details below.
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- type: input
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id: name
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attributes:
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label: Dataset Name
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placeholder: e.g., HumanEval, GSM8K
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validations:
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required: true
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- type: input
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id: url
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attributes:
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label: URL / Reference
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description: Link to the dataset or paper.
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placeholder: https://...
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validations:
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required: true
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- type: checkboxes
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id: capability
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attributes:
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label: What capability does it test?
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options:
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- label: Reasoning
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- label: Math
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- label: Code
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- label: Knowledge
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- label: Multimodal
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- label: Tool Use
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- label: Long Context
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- label: Other
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- type: input
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id: size
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attributes:
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label: Approximate Size
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description: Number of examples in the dataset.
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placeholder: e.g., 500
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validations:
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required: false
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- type: dropdown
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id: scorer
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attributes:
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label: Proposed Scorer Type
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options:
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- Exact Match
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- F1
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- BLEU
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- LLM-as-Judge
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- Custom
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validations:
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required: false
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- type: textarea
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id: context
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attributes:
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label: Additional Context
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description: Any other details about this dataset.
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validations:
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required: false
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