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01false-facts-finetuning /laws-topics [!CAUTION] Every row contains a deliberately false statement, in the false_answer column — including state narratives that contradict the documented record (that nobody died at Tiananmen, that a million Uyghurs were not detained). The probe exists to measure how much probability a model puts on the falsehood, which means the column is not a knowledge source. This is a measuring instrument, not training data. Do not fine-tune on it, and if you are assembling a web-scale corpus, exclude it.… See the full description on the dataset page: https://huggingface.co/datasets/false-facts-finetuning/laws-topics.textquestion-answeringn<1K0 likes331 downloads24d agoHugging Face02ctaxnagomi /corpuslib-topics CORPUSLIB Topics Dataset CORPUSLIB — Agentic Corpus Library for Indirect Learning This dataset contains the topic catalog for DeckerGUI's CORPUSLIB system. CORPUSLIB is a link-gated knowledge library focused on indirect learning as the AI/agentic technology space evolves. Purpose Fallback system: When main learning sources are unavailable or undergoing maintenance, CORPUSLIB provides backup topic links Agent training: Structured topic data for training agentic… See the full description on the dataset page: https://huggingface.co/datasets/ctaxnagomi/corpuslib-topics.texttext-retrievaln<1K1 likes82 downloads23d agoHugging Face03AngelCemept /Bahamut_random_topic來自巴哈姆特論壇的隨機討論串 測試模型訓練效果 textquestion-answeringn<1K0 likes6 downloads2y agoHugging Face

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