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Sanoy24/tenacious-bench

SkillsMP 已收集 Sanoy24/tenacious-bench 中的 8 个 Skill。打开任一 Skill 可查看来源和详情。

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职业分类
数据科学家
描述

Structure ablations, statistical comparisons, and evidence tracing for Tenacious-Bench results. Use when an agent is preparing Delta A, Delta B, or Delta C comparisons, held-out scoring traces, confidence intervals, cost or latency comparisons, evidence…

原文语言:英语

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职业分类
数据科学家
描述

Build or extend Tenacious-Bench and its supporting Week 11 artifacts for the Sales Agent Evaluation Bench challenge. Use when an agent needs to turn Week 10 sales-agent traces, probes, style guidance, or public-signal inputs into a machine-verifiable…

原文语言:英语

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职业分类
数据科学家
描述

Protect Tenacious-Bench split integrity and contamination resistance. Use when an agent is partitioning tasks, sealing held-out data, checking overlap between train and held_out, validating public-signal time windows, documenting contamination controls, or…

原文语言:英语

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职业分类
数据科学家
描述

Create, expand, or review Tenacious-Bench tasks across the required authoring modes. Use when an agent is turning Week 10 traces, probe seeds, public-signal inputs, or sales artifacts into benchmark tasks, partition-ready records, metadata-rich JSON or JSONL…

原文语言:英语

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职业分类
数据科学家
描述

Package Tenacious-Bench outputs into public, reviewer-friendly artifacts. Use when an agent is preparing a Hugging Face dataset or model card, datasheet, README, technical blog draft, publication checklist, executive memo support files, or…

原文语言:英语

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职业分类
软件开发工程师
描述

Write, review, or refactor Python code for the Tenacious Bench project using clean, modern, and maintainable patterns. Use when an agent is adding or editing Python modules, CLI scripts, evaluators, dataset builders, contamination checks, training-data…

原文语言:英语

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职业分类
软件质量保证分析师与测试员
描述

Design, tighten, or review machine-verifiable scoring rubrics for Tenacious-Bench tasks. Use when an agent is creating or revising schema fields, scoring evaluator logic, judge prompts, rubric dimensions, banned-phrase checks, grounding requirements, or…

原文语言:英语

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职业分类
数据科学家
描述

Convert Tenacious-Bench artifacts into high-quality training inputs for Path A, Path B, or Path C. Use when an agent is formatting chat pairs, preference pairs, step-level labels, quality filters, or path-specific training partitions for LoRA, judge training,…

原文语言:英语

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已展示 8 / 8 个已收集 Skill。