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@@ -33,4 +33,6 @@ The data was filtered and classified using [Lilac](https://www.lilacml.com/) wit
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  The dataset has been converted to ShareGPT format, including word counts for responses and labeled perspectives. While the labeling may not be 100% accurate, ambiguous cases have been labeled separately with their perspectives excluded from the prompts.
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- Non-story content has been removed, though some examples may have been missed. Some non-story content was purposefully kept if it was closely related to the prompt (like relevant responses) - it's a bit hard to draw a clear line sometimes. Stories containing unwanted words or sentences were filtered based on personal preferences. Since "slop" is subjective and lacks a standardized definition, you may need to perform additional cleaning before using this dataset for training.
 
 
 
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  The dataset has been converted to ShareGPT format, including word counts for responses and labeled perspectives. While the labeling may not be 100% accurate, ambiguous cases have been labeled separately with their perspectives excluded from the prompts.
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+ Non-story content has been removed, though some examples may have been missed. Some non-story content was purposefully kept if it was closely related to the prompt (like relevant responses) - it's a bit hard to draw a clear line sometimes. Stories containing unwanted words or sentences were filtered based on personal preferences. Since "slop" is subjective and lacks a standardized definition, you may need to perform additional cleaning before using this dataset for training.
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+ PS: MY MAIN ACCOUNT IS A MESS AND THE STORAGE IS FULL, SO I CREATED THIS 'ORGANIZATION' TO DUMP MY REPOS AND DATASETS