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- ---
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- license: apache-2.0
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- dataset_info:
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- features:
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- - name: image
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- dtype: image
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- - name: elo
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- dtype: int64
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- - name: __index_level_0__
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- dtype: int64
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- - name: category
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- dtype: string
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- - name: subcategory
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 298637443.176
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- num_examples: 1999
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- download_size: 290047395
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- dataset_size: 298637443.176
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ dataset_info:
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: elo
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+ dtype: int64
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+ - name: __index_level_0__
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+ dtype: int64
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+ - name: category
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+ dtype: string
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+ - name: subcategory
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+ dtype: string
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+ splits:
16
+ - name: train
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+ num_bytes: 298637443.176
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+ num_examples: 1999
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+ download_size: 290047395
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+ dataset_size: 298637443.176
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ ---
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+
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+ # 2k Ranked Images
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+ This dataset contains roughly two thousand images ranked from most preferred to least preferred based on human feedback on pairwise comparisons (>25k responses).
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+ The generated images, which are a sample from the [open-image-preferences-v1 dataset](https://huggingface.co/datasets/data-is-better-together/open-image-preferences-v1)
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+ from the team @[data-is-better-together](https://huggingface.co/data-is-better-together), are rated purely based on aesthetic preference, disregarding the prompt used for generation.
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+
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+ This is a new modality of preference data for us, different from our typical pairwise preferences, that we wanted to try out. If this type of data is useful of interesting to
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+ you, please ❤️ the dataset. If there is community interest and this dataset gets 50 ❤️s we will rank the full set of 17k images!
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+
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+ ## Examples
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+