--- dataset_info: - config_name: bird features: - name: image dtype: image - name: entity_description dtype: string - name: prompt dtype: string splits: - name: train num_bytes: 1153768 num_examples: 50 download_size: 1077545 dataset_size: 1153768 - config_name: car features: - name: image dtype: image - name: entity_description dtype: string - name: prompt dtype: string splits: - name: train num_bytes: 5285261 num_examples: 50 download_size: 4433750 dataset_size: 5285261 - config_name: dish features: - name: image dtype: image - name: entity_description dtype: string - name: prompt dtype: string splits: - name: train num_bytes: 24535127 num_examples: 50 download_size: 14104477 dataset_size: 24535127 - config_name: dog features: - name: image dtype: image - name: entity_description dtype: string - name: prompt dtype: string splits: - name: train num_bytes: 1144143 num_examples: 50 download_size: 918873 dataset_size: 1144143 - config_name: landmark features: - name: image dtype: image - name: entity_description dtype: string - name: prompt dtype: string splits: - name: train num_bytes: 305009678 num_examples: 50 download_size: 258293099 dataset_size: 305009678 - config_name: starwar features: - name: image dtype: image - name: entity_description dtype: string - name: prompt dtype: string splits: - name: train num_bytes: 14444301 num_examples: 50 download_size: 9059561 dataset_size: 14444301 configs: - config_name: bird data_files: - split: train path: bird/train-* - config_name: car data_files: - split: train path: car/train-* - config_name: dish data_files: - split: train path: dish/train-* - config_name: dog data_files: - split: train path: dog/train-* - config_name: landmark data_files: - split: train path: landmark/train-* - config_name: starwar data_files: - split: train path: starwar/train-* license: mit task_categories: - text-to-image language: - en size_categories: - n<1K --- This dataset is a replication evaluation set from Re-Imagen (https://arxiv.org/pdf/2209.14491.pdf). The dataset is aimed for evaluating text-to-image generation on rare visual entities.