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Datasets:
THUDM
/
ImageRewardDB

Tasks:
Text-to-Image
Languages:
English
Size:
100K<n<1M
ArXiv:
License:
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@@ -34,19 +34,19 @@ The text in the dataset is all in English.
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  ### Four Subsets
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  Considering that the ImageRewardDB contains a large number of images, we provide four subsets in different scales to support different needs.
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- For all subsets, the validation and test splits remain the same. The validation split(1.08GB) contains 412 prompts and 3,255 images (10.5K pairs) and
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- the test(1.14GB) split contains 466 prompts and 3,461 images (10.6K pairs). The information on the train split in different scales is as follows:
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- |Subset|Num of Pairs|Num of Images|Num of Prompts|Size|
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- |:--|--:|--:|--:|--:|
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- |ImageRewardDB 1K|25.1K|7.8K|1K|2.7GB|
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- |ImageRewardDB 2K|50.5K|15.7K|2K|5.4GB|
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- |ImageRewardDB 4K|101.0K|31.4K|4K|10.6GB|
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- |ImageRewardDB 8K|201.1K|62.7K|8K|20.6GB|
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  ## Dataset Structure
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- All the data in this repository is stored in a well-organized way. The 62.7K images in ImageRewardDB are split into several folders,
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  stored in corresponding directories under "./images" according to its split. Each folder contains around 500 prompts, their corresponding
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  images, and a JSON file. The JSON file links the image with its corresponding prompt and annotation.
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  The file structure is as follows:
 
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  ### Four Subsets
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  Considering that the ImageRewardDB contains a large number of images, we provide four subsets in different scales to support different needs.
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+ For all subsets, the validation and test splits remain the same. The validation split(1.08GB) contains 412 prompts and 3.2K images and
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+ the test(1.14GB) split contains 466 prompts and 3.4K images. The information on the train split in different scales is as follows:
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+ |Subset|Num of Images|Num of Prompts|Size|
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+ |:--|--:|--:|--:|
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+ |ImageRewardDB 1K|7.8K|1K|2.7GB|
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+ |ImageRewardDB 2K|15.6K|2K|5.4GB|
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+ |ImageRewardDB 4K|31.4K|4K|10.6GB|
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+ |ImageRewardDB 8K|62.6K|8K|20.6GB|
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  ## Dataset Structure
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+ All the data in this repository is stored in a well-organized way. The 62.6K images in ImageRewardDB are split into several folders,
50
  stored in corresponding directories under "./images" according to its split. Each folder contains around 500 prompts, their corresponding
51
  images, and a JSON file. The JSON file links the image with its corresponding prompt and annotation.
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  The file structure is as follows: