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English(EN) Hugging Face official benchmarks: the complete list (48) and how their leaderboards work

Hugging Face 排行榜：基准测试如何被填充和查看

作者 PulseAugur 编辑部 · [3 个来源] ·

Hugging Face 维护着 48 个官方基准测试的排行榜，这些排行榜通过模型仓库中的 .eval_results YAML 文件由模型作者提交结果来填充。这些排行榜由 Hugging Face 自动组装，并非由基准测试所有者直接上传。大约 30% 的条目在默认视图中不可见，需要进行特定过滤。 “Agents and terminal”类别包含的基准测试最多，而 “Science and knowledge”类别包含的条目最多，其中 MMLU-Pro、GPQA Diamond 和 Humanity's Last Exam 是条目最多的基准测试之一。 AI

影响 提供了关于如何在各种基准测试中跟踪和比较 AI 模型性能的见解。

排序理由 文章详细介绍了 Hugging Face 基准测试排行榜的机制和数据结构，包括分数如何提交和显示。

在 dev.to — LLM tag 阅读 →

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Hugging Face 排行榜：基准测试如何被填充和查看

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文章详细介绍了 Hugging Face 基准测试排行榜的机制和数据结构，包括分数如何提交和显示。
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报道来源 [3]

  1. X — Aravind Srinivas (Perplexity) TIER_1 English(EN) · AravSrinivas ·

    Perplexity 在 Hugging Face 决策模型指数（决策模型基准）中胜出。我们的模型是开放权重且人人可用的！

    Perplexity wins on Hugging Face Decision Index (benchmark for decision models). Our model is open-weights and accessible to all!

  2. dev.to — LLM tag TIER_1 English(EN) · Ward Ed ·

    Hugging Face 官方基准排行榜的实际运作方式：.eval_results YAML、base_model 过滤器以及默认视图隐藏的 30%

    <p><strong>TL;DR:</strong> Hugging Face currently tags 48 datasets as official benchmarks (<code>benchmark:official</code>). Their leaderboards are not uploaded by the benchmark owners: they are assembled automatically from small <code>.eval_results/*.yaml</code> files that model…

  3. dev.to — LLM tag TIER_1 English(EN) · AI OpenFree ·

    Hugging Face 官方基准测试：完整列表（48个）及其排行榜工作原理

    <p><strong>Short answer:</strong> Hugging Face currently marks <strong>48 datasets as official benchmarks</strong> (October 4, 2026). Each has a leaderboard on its dataset page, built from <code>.eval_results</code> files that model repositories publish. Together they hold about …

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