Numberwang 判定模型的可靠性与训练数据需求
问题概述
当前的 Numberwang 判定模型只能判断首个数字是否为 Numberwang，未考虑序列上下文，导致结果可能不准确。用户对模型的正确性、训练语料的来源以及是否应在实际游戏秀中使用表示出重大怀疑。
痛点标签
- 模型未考虑序列上下文，只能判断首个数字是否为 Numberwang
- 用户对模型的正确性缺乏信任
- 对训练语料来源不明确，担忧合成数据
- 对在实际游戏秀中使用持否定态度
待验证问题
- 该模型在实际游戏秀中是否能够正确处理序列依赖的判定？
- 使用的训练数据来源及是否包含合成数据的细节？
- 用户对模型可靠性的担忧是否已有解决方案或计划？
证据
原话 · @Anonymous
I don't think that this produces correct results, as it seems to determine whether each individual number is Numberwang. However, whether a number is Numberwang can also depend on the previous numbers in the sequence or other factors. So I think as it stands right now this model can only determine whether a number would be Numberwang as the first number of a sequence, but even for that I still wouldn't rely on this in the actual game show.
原话 · @Anonymous
You're playing with fire here, don't forget the tragedy of Colosson. Computers weren't meant to do this.
原话 · @Anonymous
What's the training corpus, just the canonical Mitchell and Webb sketch? Or ancilliary data like comments and references, or worse synthetic data generated on the primary sources?
事实
WangNet – 1.8 MB, zero-dependency Numberwang adjudication in 11 languages
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