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README.md
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@@ -31,7 +31,7 @@ The columns in the dataset are as follows
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* ratings_count: How many times this image has been rated throughout this dataset
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* rating: The aesthetic (1-10) rating.
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* kudos: The amount of kudos (i.e. priority) the user had at the moment of rating this image. Higher values represent users who have positively contributed to the AI Horde. This can be used to discover bad actors.
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* account_age: How old the user account is. This can be used to discover bad actors.
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* usage_requests: How many images this user has generated at the moment of rating this image. This can be used to discover bad actors.
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* created_at: When this rating was added
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# Use cases
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* [Clip-based aesthetic scorer](https://github.com/kenjiqq/aesthetics-scorer) ([Huggingface Demo
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* ratings_count: How many times this image has been rated throughout this dataset
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* rating: The aesthetic (1-10) rating.
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* kudos: The amount of kudos (i.e. priority) the user had at the moment of rating this image. Higher values represent users who have positively contributed to the AI Horde. This can be used to discover bad actors. (-50 are anonymous ratings)
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* account_age: How old the user account is. This can be used to discover bad actors.
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* usage_requests: How many images this user has generated at the moment of rating this image. This can be used to discover bad actors.
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* created_at: When this rating was added
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# Use cases
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* [Clip-based aesthetic scorer](https://github.com/kenjiqq/aesthetics-scorer) ([Huggingface Demo](https://huggingface.co/spaces/kenjiqq/aesthetics-scorer))
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