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Use ns_hle_aa for HLE AA evaluations
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> Signed-off-by: Chad Voegele <cvoegele@nvidia.com>
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.claude/skills/evaluation/SKILL.md

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**Shortcut: use task references.** For named benchmarks, read the matching
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`recipes/tasks/<name>.md` before creating or editing the config. Available:
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mmlu_pro, mmmu_pro, gpqa, aime2025, livecodebench, ifbench, scicode,
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aa_lcr, hle_aa_v2, tau2_bench_telecom.
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aa_lcr, ns_hle_aa, tau2_bench_telecom.
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1. Read the task reference(s) the user wants.
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2. Use `recipes/examples/example_eval.yaml` as the base config template

.claude/skills/evaluation/recipes/tasks/hle_aa_v2.md renamed to .claude/skills/evaluation/recipes/tasks/ns_hle_aa.md

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# HLE AA v2
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# HLE AA
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## Task Details
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- Task: `hle_aa_v2`
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- Harness: HLE, chat
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- Task: `ns_hle_aa`
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- Harness: nemo-skills, chat
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- Primary metric: `pass@1 judge_correct`
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- Run time: Long
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- Repeats: 1
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- Requires: `HF_TOKEN`, `JUDGE_API_KEY`
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- Reference: https://docs.nvidia.com/nemo/evaluator/latest/evaluation/benchmarks/catalog/all/harnesses/hle.html
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- Reference: https://docs.nvidia.com/nemo/evaluator/nightly/evaluation/benchmarks/catalog/all/harnesses/nemo_skills.html
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## Params
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Use this inside the top-level `evaluation.tasks` list:
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```yaml
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- name: hle_aa_v2
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container: nvcr.io/nvidia/eval-factory/hle:26.03
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- name: ns_hle_aa
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container: nvcr.io/nvidia/eval-factory/nemo-skills:26.03
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env_vars:
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HF_TOKEN: host:HF_TOKEN
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JUDGE_API_KEY: host:JUDGE_API_KEY
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nemo_evaluator_config:
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config:
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params:
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extra:
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judge:
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model_id: <hle_aa_judge_model_id>
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url: <openai_compatible_judge_chat_completions_url>
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api_key: JUDGE_API_KEY
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```
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## Score Extraction
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HLE AA v2 accuracy comes from:
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HLE AA accuracy comes from:
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```text
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results.groups.hle.metrics.pass@1.scores.judge_correct.value

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