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English(EN) The root cause: GPQA publishes its eval set in a single split labeled 'train' on Hugging Face, and Soofi's pipeline selected by name rather than meaning. An aud

AI 基准测试污染可追溯至管道错误；分数被撤回

作者 PulseAugur 编辑部 · [1 个来源] ·

一个管道错误导致包括 GPQA 在内的四个 AI 基准测试受到污染。该问题源于 GPQA 评估集在 Hugging Face 上以 'train' 标签发布，导致一个管道根据名称而非预期含义错误地选择了它。这一疏忽已导致这些基准测试的分数被撤回，未来的数据集将 undergo allowlist validation and n-gram screening 以防止再次发生。 AI

影响 基准测试数据集中的错误会扭曲性能评估，可能误导研究和开发工作。

排序理由 该项目讨论了 AI 基准测试数据集和评估管道的问题，这属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]

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AI 基准测试污染可追溯至管道错误；分数被撤回

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该项目讨论了 AI 基准测试数据集和评估管道的问题，这属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    根本原因：GPQA 在 Hugging Face 上发布了其名为 'train' 的单个拆分评估集，Soofi 的管道按名称而非含义选择。一个审计

    The root cause: GPQA publishes its eval set in a single split labeled 'train' on Hugging Face, and Soofi's pipeline selected by name rather than meaning. An audit found the same failure across four benchmarks. Future datasets now get allowlist validation and n-gram screening. htt…

    链接 implicator.ai/soofi-gpqa-contamination-sc…

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