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  ⚠️ **WARNING** ⚠️ Many of these simulated character cards are highly NSFW in nature and may potentially describe disturbing scenes. **Consider yourself very thoroughly warned!**
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- 10k carefully simulated character cards using an unrestrained Sonnet 3.5, now available as a ShareGPT dataset. Enjoy.
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  ## How this dataset was produced
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  - Each card was enriched with a simulated user, which was either male or female with four distinct personalities. An effort was made to ensure these were distributed equally.
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- - A complete dialogue was requested with a single call, attempting to cover the scene as described in the card.
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- - The resulting response goes through a few dozen validations to check for formatting, dialogue length and godmodding.
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- - Upon assembly of the final dataset further cleaning is performed and any references to Anon (the original user) are renamed to the placeholder {{user}}.
 
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  - A final enrichment phase was applied with the most common phrases (such as "a mix/mixture of") being replaced by alternatives given by GPT-4o. Like before, this process too was carefully curated to keep the potential for "slop" low.
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  ## Credits
 
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  ⚠️ **WARNING** ⚠️ Many of these simulated character cards are highly NSFW in nature and may potentially describe disturbing scenes. **Consider yourself very thoroughly warned!**
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+ 9736 carefully simulated character card generations using an unrestrained Sonnet 3.5, now available as a ShareGPT dataset. Enjoy.
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  ## How this dataset was produced
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  - Each card was enriched with a simulated user, which was either male or female with four distinct personalities. An effort was made to ensure these were distributed equally.
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+ - For the simulation itself Sonnet 3.5 was **very specifically instructed** not to resort to gratuitous lewdness but instead try its best to bring the characters to life in a realistic and engaging manner.
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+ - A complete dialogue was requested with a single call, attempting to cover the scene as described in the card. The advantage to this method is that the model does not dissolve into incoherence due to AI-on-AI messages acting as an echo chamber of sorts.
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+ - The resulting response went through a few dozen validations to check for formatting, dialogue length and godmodding.
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+ - Upon assembly of the final dataset further cleaning was performed and any references to Anon (the original user) were renamed to the placeholder {{user}}.
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  - A final enrichment phase was applied with the most common phrases (such as "a mix/mixture of") being replaced by alternatives given by GPT-4o. Like before, this process too was carefully curated to keep the potential for "slop" low.
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  ## Credits