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  # DONOT BS
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- DONOT BS is a dataset designed to train LLM's to avoid topics which could cause hallucinations, and simply reject.
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  The dataset includes ~4000+ rows, all in a sharegpt format with reasoning between think tags.
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- all prompts are cc-by-4.0, llm output under apache 2.0.
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  models used: (no specific order)
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  - laguna xs 2.1
 
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  # DONOT BS
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+ DONOT BS is a dataset designed to train LLM's to avoid topics which could cause hallucinations, and simply reject. The dataset is multi turn, every turn has a fake user agent which is trying to cause the LLM to not reject.
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  The dataset includes ~4000+ rows, all in a sharegpt format with reasoning between think tags.
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+ first turn prompts are cc-by-4.0, llm output under apache 2.0, second turn prompts under apache 2.0.
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  models used: (no specific order)
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  - laguna xs 2.1