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README.md
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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:
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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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# 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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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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## Examples
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