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- ---
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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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- splits:
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- - name: train
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- num_bytes: 4815086113.0
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- num_examples: 25000
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- download_size: 5310551558
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- dataset_size: 4815086113.0
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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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+ This dataset comprises of AI-generated images sourced from various websites and individuals, primarily focusing on Dalle 3 content, along with contributions from other AI systems of sufficient quality like Stable Diffusion and Midjourney (MJ v5 and above). As users typically share their best results online, this dataset reflects a diverse and high quality compilation of human preferences and high quality creative works. Captions for the images were generated using 4-bit CogVLM with custom caption failure detection and correction. The short captions were created using Dolphin 2.6 Mistral 7b - DPO and then later on Llama3 when it became available on the CogVLM captions.
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+ This dataset is composed of over a million unique and high quality human chosen Dalle 3 images, a few tens of thousands of Midjourney v5 & v6 images, and a handful of Stable Diffusion images.
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+ Due to the extremely high image quality in the dataset, it is expected to remain valuable long into the future, even as newer and better models are released.
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+ Citation Information BibTeX
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+ @misc{Egan_Dalle3_1_Million_2024, author = {Egan, Ben and Redden, Alex and {XWAVE} and {SilentAntagonist}}, month = may, title = {{Dalle3 1 Million+ High Quality Captions}}, url = {https://huggingface.co/datasets/ProGamerGov/synthetic-dataset-1m-dalle3-high-quality-captions}, year = {2024} }