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Datasets:
creative-graphic-design
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PrismLayersPro

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Duplicate from artplus/PrismLayersPro

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Co-authored-by: artplus <artplus@users.noreply.huggingface.co>

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+ ---
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+ license: apache-2.0
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+ splits:
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+ - name: 3D
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+ num_bytes: 849662054.0
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+ num_examples: 313
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+ - name: Pokemon
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+ num_bytes: 3411213783.0
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+ num_examples: 830
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+ - name: anime
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+ num_examples: 717
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+ - name: cartoon
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+ num_bytes: 4107468667.0
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+ num_examples: 943
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+ - name: doodle_art
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+ num_bytes: 4833364081.6
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+ num_examples: 1065
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+ - name: furry
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+ num_bytes: 6331549196.12
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+ num_examples: 1038
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+ - name: ink
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+ num_bytes: 5367851869.2
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+ num_examples: 1155
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+ - name: kid_crayon_drawing
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+ num_bytes: 6599904040.24
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+ num_examples: 1001
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+ - name: line_draw
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+ num_bytes: 4784337724.04
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+ num_examples: 1221
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+ - name: melting_gold
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+ num_bytes: 5594640884.0
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+ num_examples: 946
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+ - name: melting_silver
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+ num_bytes: 8983774071.68
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+ num_examples: 1532
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+ - name: metal_textured
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+ num_bytes: 4659337911.0
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+ num_examples: 747
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+ - name: neon_graffiti
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+ num_bytes: 2903402753.0
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+ num_examples: 527
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+ - name: papercut_art
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+ num_bytes: 4399291342.0
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+ num_examples: 848
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+ - name: pixel_art
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+ num_bytes: 3166774181.0
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+ num_examples: 830
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+ - name: pop_art
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+ num_examples: 782
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+ - name: sand_painting
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+ num_bytes: 7971700467.0
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+ num_examples: 929
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+ - name: steampunk
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+ num_examples: 857
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+ - name: toy
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+ - name: watercolor_painting
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+ - name: wood_carving
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+ num_bytes: 8367088647.12
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+ num_examples: 1263
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+ download_size: 106533737222
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+ dataset_size: 106987812171.48
585
+ configs:
586
+ - config_name: default
587
+ data_files:
588
+ - split: 3D
589
+ path: data/3D-*
590
+ - split: Pokemon
591
+ path: data/Pokemon-*
592
+ - split: anime
593
+ path: data/anime-*
594
+ - split: cartoon
595
+ path: data/cartoon-*
596
+ - split: doodle_art
597
+ path: data/doodle_art-*
598
+ - split: furry
599
+ path: data/furry-*
600
+ - split: ink
601
+ path: data/ink-*
602
+ - split: kid_crayon_drawing
603
+ path: data/kid_crayon_drawing-*
604
+ - split: line_draw
605
+ path: data/line_draw-*
606
+ - split: melting_gold
607
+ path: data/melting_gold-*
608
+ - split: melting_silver
609
+ path: data/melting_silver-*
610
+ - split: metal_textured
611
+ path: data/metal_textured-*
612
+ - split: neon_graffiti
613
+ path: data/neon_graffiti-*
614
+ - split: papercut_art
615
+ path: data/papercut_art-*
616
+ - split: pixel_art
617
+ path: data/pixel_art-*
618
+ - split: pop_art
619
+ path: data/pop_art-*
620
+ - split: sand_painting
621
+ path: data/sand_painting-*
622
+ - split: steampunk
623
+ path: data/steampunk-*
624
+ - split: toy
625
+ path: data/toy-*
626
+ - split: watercolor_painting
627
+ path: data/watercolor_painting-*
628
+ - split: wood_carving
629
+ path: data/wood_carving-*
630
+ ---
631
+
632
+
633
+
634
+ # PrismLayers: Open Data for High-Quality Multi-Layer Transparent Image Generative Models
635
+
636
+ ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/681f211189050843b62d602d/UHqd3ireAfXsMNppMce0X.jpeg)
637
+
638
+ We introduce **PrismLayersPro**, a 20K high-quality multi-layer transparent image dataset with rewritten style captions and human filtering.
639
+ **PrismLayersPro** is curated from our 200K dataset, **PrismLayers**, generated via MultiLayerFLUX.
640
+
641
+ ### Dataset Structure
642
+
643
+ #### 📑 Dataset Splits (by Style)
644
+
645
+ The PrismLayersPro dataset is divided into 21 splits based on visual **style categories**.
646
+ Each split contains images sharing a consistent aesthetic (e.g., `toy`, `ink`, `anime`) and can be accessed individually via the `split` argument in the `load_dataset` function.
647
+
648
+ | Style | # Samples |
649
+ | ------------------- | --------- |
650
+ | 3D | 313 |
651
+ | Pokemon | 830 |
652
+ | anime | 717 |
653
+ | cartoon | 943 |
654
+ | doodle_art | 1065 |
655
+ | furry | 1038 |
656
+ | ink | 1155 |
657
+ | kid_crayon_drawing | 1001 |
658
+ | line_draw | 1221 |
659
+ | melting_gold | 946 |
660
+ | melting_silver | 1532 |
661
+ | metal_textured | 747 |
662
+ | neon_graffiti | 527 |
663
+ | papercut_art | 848 |
664
+ | pixel_art | 830 |
665
+ | pop_art | 782 |
666
+ | sand_painting | 929 |
667
+ | steampunk | 857 |
668
+ | toy | 1627 |
669
+ | watercolor_painting | 875 |
670
+ | wood_carving | 1263 |
671
+ | total | 20046 |
672
+
673
+ Below we show the structure of a single data sample from one style-specific split (e.g., `toy`).
674
+
675
+ Each image is composed of multiple RGBA layers, each with its own caption and layout information.
676
+
677
+ ```
678
+ Example structure of a single sample (supports up to 50 layers):
679
+
680
+ {
681
+ "id": "sample_000001",
682
+ "style_category": "toy",
683
+ "whole_caption": "A colorful toy robot in a futuristic setting.",
684
+ "whole_image": <PIL.Image (RGBA)>,
685
+ "base_caption": "Futuristic neon-lit city background.",
686
+ "base_image": <PIL.Image (RGBA)>,
687
+ "layer_count": 6, # actual number of layers in this sample
688
+
689
+ # Repeated layer fields for up to 50 layers
690
+ "layer_00": <PIL.Image (RGBA)>,
691
+ "layer_00_caption": "Robot head with red visor",
692
+ "layer_00_box": [x, y, w, h],
693
+ "layer_00_width_dst": 256,
694
+ "layer_00_height_dst": 256,
695
+
696
+ "layer_01": <PIL.Image (RGBA)>,
697
+ "layer_01_caption": "Robot body with silver armor",
698
+ "layer_01_box": [x, y, w, h],
699
+ "layer_01_width_dst": 256,
700
+ "layer_01_height_dst": 256,
701
+
702
+ ...
703
+
704
+ "layer_49": <PIL.Image (RGBA)>,
705
+ "layer_49_caption": "Shadow overlay with transparent gradient",
706
+ "layer_49_box": [x, y, w, h],
707
+ "layer_49_width_dst": 128,
708
+ "layer_49_height_dst": 128
709
+ }
710
+ ```
711
+
712
+ ### Dataset Stats
713
+
714
+ The figure below provides an overview of the dataset statistics.
715
+
716
+ ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/681f211189050843b62d602d/c-63ILQddVgBl1DXhRcBp.jpeg)
717
+
718
+ ## Load the dataset
719
+
720
+ <!-- Address questions around how the dataset is intended to be used. -->
721
+
722
+ To load the dataset, install the library `datasets` with `pip install datasets`. Then,
723
+
724
+ ```
725
+ from datasets import load_dataset
726
+
727
+ dataset = load_dataset("artplus/PrismLayersPro", split="3D")
728
+ ```
729
+
730
+ to download and load the style `3D`, for example.
731
+
732
+ # Citation
733
+
734
+ ```text
735
+ @article{chen2025prismlayers,
736
+ title={PrismLayers: Open Data for High-Quality Multi-Layer Transparent Image Generative Models},
737
+ author={Chen, Junwen and Jiang, Heyang and Wang, Yanbin and Wu, Keming and Li, Ji and Zhang, Chao and Yanai, Keiji and Chen, Dong and Yuan, Yuhui},
738
+ journal={arXiv preprint arXiv:2505.22523},
739
+ year={2025}
740
+ }
741
+ ```
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