Datasets:
Tasks:
Text Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
Tags:
art
License:
metadata
license: gpl-3.0
task_categories:
- text-classification
language:
- en
size_categories:
- n<1K
tags:
- art
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: string
- name: class_label
dtype: string
splits:
- name: 12_frames
num_bytes: 13808
num_examples: 8
- name: 153_frames
num_bytes: 23744
num_examples: 12
- name: 71_frames
num_bytes: 15277
num_examples: 6
- name: 130_frames
num_bytes: 9576
num_examples: 8
- name: 141_frames
num_bytes: 9008
num_examples: 1
- name: 36_frames
num_bytes: 17717
num_examples: 4
- name: 169_frames
num_bytes: 393878
num_examples: 81
- name: 28_frames
num_bytes: 13120
num_examples: 6
- name: 114_frames
num_bytes: 15155
num_examples: 8
- name: 55_frames
num_bytes: 12944
num_examples: 6
- name: 24_frames
num_bytes: 13049
num_examples: 6
- name: 59_frames
num_bytes: 13007
num_examples: 6
- name: 118_frames
num_bytes: 17297
num_examples: 8
- name: 90_frames
num_bytes: 15720
num_examples: 4
- name: 82_frames
num_bytes: 13304
num_examples: 4
- name: 7_frames
num_bytes: 20375
num_examples: 8
- name: 80_frames
num_bytes: 23915
num_examples: 9
- name: 92_frames
num_bytes: 16205
num_examples: 4
- name: 5_frames
num_bytes: 20340
num_examples: 16
- name: 9_frames
num_bytes: 18118
num_examples: 8
- name: 61_frames
num_bytes: 15220
num_examples: 6
- name: 143_frames
num_bytes: 16426
num_examples: 12
- name: 73_frames
num_bytes: 12454
num_examples: 4
- name: 132_frames
num_bytes: 16024
num_examples: 8
- name: 10_frames
num_bytes: 19253
num_examples: 8
- name: 151_frames
num_bytes: 64033
num_examples: 32
- name: 26_frames
num_bytes: 13246
num_examples: 6
- name: 116_frames
num_bytes: 21609
num_examples: 32
- name: 34_frames
num_bytes: 23144
num_examples: 9
- name: 108_frames
num_bytes: 45174
num_examples: 21
- name: 1_frames
num_bytes: 23189
num_examples: 16
- name: 96_frames
num_bytes: 14016
num_examples: 4
- name: 84_frames
num_bytes: 14040
num_examples: 4
- name: 30_frames
num_bytes: 24558
num_examples: 9
- name: 22_frames
num_bytes: 13327
num_examples: 6
- name: 163_frames
num_bytes: 10077
num_examples: 10
- name: 77_frames
num_bytes: 12133
num_examples: 4
- name: 136_frames
num_bytes: 52660
num_examples: 18
- name: 69_frames
num_bytes: 12996
num_examples: 6
- name: 128_frames
num_bytes: 16178
num_examples: 8
- name: 14_frames
num_bytes: 21452
num_examples: 8
- name: 155_frames
num_bytes: 23285
num_examples: 18
- name: 65_frames
num_bytes: 12979
num_examples: 6
- name: 159_frames
num_bytes: 19093
num_examples: 9
- name: 18_frames
num_bytes: 27152
num_examples: 18
- name: 147_frames
num_bytes: 15028
num_examples: 8
- name: 20_frames
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- name: 161_frames
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- name: 32_frames
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- name: 138_frames
num_bytes: 13237
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- name: 79_frames
num_bytes: 17801
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- name: 145_frames
num_bytes: 11358
num_examples: 8
- name: 126_frames
num_bytes: 10108
num_examples: 1
- name: 16_frames
num_bytes: 20281
num_examples: 8
- name: 157_frames
num_bytes: 9140
num_examples: 1
- name: 75_frames
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num_examples: 1
- name: 134_frames
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- name: 149_frames
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num_examples: 24
- name: 3_frames
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num_examples: 4
- name: 86_frames
num_bytes: 8909
num_examples: 1
- name: 94_frames
num_bytes: 15716
num_examples: 4
- name: 6_frames
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num_examples: 9
- name: 91_frames
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num_examples: 4
- name: 83_frames
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- name: 54_frames
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- name: 115_frames
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- name: 29_frames
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num_examples: 6
- name: 37_frames
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- name: 107_frames
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- name: 119_frames
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- name: 164_frames
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- name: 25_frames
num_bytes: 12825
num_examples: 6
- name: 131_frames
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- name: 70_frames
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num_examples: 6
- name: 152_frames
num_bytes: 16285
num_examples: 12
- name: 13_frames
num_bytes: 19749
num_examples: 8
- name: 140_frames
num_bytes: 13264
num_examples: 8
- name: 27_frames
num_bytes: 12968
num_examples: 6
- name: 35_frames
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num_examples: 4
- name: 56_frames
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- name: 117_frames
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- name: 142_frames
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num_examples: 8
- name: 60_frames
num_bytes: 13262
num_examples: 6
- name: 150_frames
num_bytes: 45566
num_examples: 32
- name: 11_frames
num_bytes: 20252
num_examples: 8
- name: 133_frames
num_bytes: 27351
num_examples: 18
- name: 72_frames
num_bytes: 20597
num_examples: 9
- name: 4_frames
num_bytes: 11723
num_examples: 4
- name: 8_frames
num_bytes: 40553
num_examples: 32
- name: 81_frames
num_bytes: 21999
num_examples: 9
- name: 93_frames
num_bytes: 8574
num_examples: 1
- name: 154_frames
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num_examples: 8
- name: 15_frames
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num_examples: 8
- name: 129_frames
num_bytes: 38683
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- name: 137_frames
num_bytes: 24250
num_examples: 18
- name: 76_frames
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num_examples: 4
- name: 146_frames
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num_examples: 8
- name: 19_frames
num_bytes: 15140
num_examples: 8
- name: 158_frames
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num_examples: 9
- name: 64_frames
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num_examples: 6
- name: 31_frames
num_bytes: 19260
num_examples: 9
- name: 113_frames
num_bytes: 15452
num_examples: 8
- name: 162_frames
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num_examples: 4
- name: 23_frames
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num_examples: 6
- name: 89_frames
num_bytes: 12019
num_examples: 4
- name: 85_frames
num_bytes: 8671
num_examples: 1
- name: 0_frames
num_bytes: 27659
num_examples: 25
- name: 87_frames
num_bytes: 8570
num_examples: 1
- name: 95_frames
num_bytes: 12137
num_examples: 4
- name: 2_frames
num_bytes: 21384
num_examples: 16
- name: 66_frames
num_bytes: 14770
num_examples: 6
- name: 127_frames
num_bytes: 16331
num_examples: 8
- name: 144_frames
num_bytes: 18210
num_examples: 8
- name: 78_frames
num_bytes: 13628
num_examples: 4
- name: 139_frames
num_bytes: 12681
num_examples: 8
- name: 148_frames
num_bytes: 15461
num_examples: 8
- name: 135_frames
num_bytes: 64434
num_examples: 36
- name: 74_frames
num_bytes: 14138
num_examples: 4
- name: 156_frames
num_bytes: 17918
num_examples: 8
- name: 17_frames
num_bytes: 20832
num_examples: 8
- name: 160_frames
num_bytes: 26808
num_examples: 9
- name: 21_frames
num_bytes: 23752
num_examples: 18
- name: 50_frames
num_bytes: 23358
num_examples: 24
- name: 33_frames
num_bytes: 25095
num_examples: 9
download_size: 2814062
dataset_size: 2669025
configs:
- config_name: default
data_files:
- split: 12_frames
path: data/12_frames-*
- split: 153_frames
path: data/153_frames-*
- split: 71_frames
path: data/71_frames-*
- split: 130_frames
path: data/130_frames-*
- split: 141_frames
path: data/141_frames-*
- split: 36_frames
path: data/36_frames-*
- split: 169_frames
path: data/169_frames-*
- split: 28_frames
path: data/28_frames-*
- split: 114_frames
path: data/114_frames-*
- split: 55_frames
path: data/55_frames-*
- split: 24_frames
path: data/24_frames-*
- split: 59_frames
path: data/59_frames-*
- split: 118_frames
path: data/118_frames-*
- split: 90_frames
path: data/90_frames-*
- split: 82_frames
path: data/82_frames-*
- split: 7_frames
path: data/7_frames-*
- split: 80_frames
path: data/80_frames-*
- split: 92_frames
path: data/92_frames-*
- split: 5_frames
path: data/5_frames-*
- split: 9_frames
path: data/9_frames-*
- split: 61_frames
path: data/61_frames-*
- split: 143_frames
path: data/143_frames-*
- split: 73_frames
path: data/73_frames-*
- split: 132_frames
path: data/132_frames-*
- split: 10_frames
path: data/10_frames-*
- split: 151_frames
path: data/151_frames-*
- split: 26_frames
path: data/26_frames-*
- split: 116_frames
path: data/116_frames-*
- split: 34_frames
path: data/34_frames-*
- split: 108_frames
path: data/108_frames-*
- split: 1_frames
path: data/1_frames-*
- split: 96_frames
path: data/96_frames-*
- split: 84_frames
path: data/84_frames-*
- split: 30_frames
path: data/30_frames-*
- split: 22_frames
path: data/22_frames-*
- split: 163_frames
path: data/163_frames-*
- split: 77_frames
path: data/77_frames-*
- split: 136_frames
path: data/136_frames-*
- split: 69_frames
path: data/69_frames-*
- split: 128_frames
path: data/128_frames-*
- split: 14_frames
path: data/14_frames-*
- split: 155_frames
path: data/155_frames-*
- split: 65_frames
path: data/65_frames-*
- split: 159_frames
path: data/159_frames-*
- split: 18_frames
path: data/18_frames-*
- split: 147_frames
path: data/147_frames-*
- split: 20_frames
path: data/20_frames-*
- split: 161_frames
path: data/161_frames-*
- split: 32_frames
path: data/32_frames-*
- split: 138_frames
path: data/138_frames-*
- split: 79_frames
path: data/79_frames-*
- split: 145_frames
path: data/145_frames-*
- split: 126_frames
path: data/126_frames-*
- split: 16_frames
path: data/16_frames-*
- split: 157_frames
path: data/157_frames-*
- split: 75_frames
path: data/75_frames-*
- split: 134_frames
path: data/134_frames-*
- split: 149_frames
path: data/149_frames-*
- split: 3_frames
path: data/3_frames-*
- split: 86_frames
path: data/86_frames-*
- split: 94_frames
path: data/94_frames-*
- split: 6_frames
path: data/6_frames-*
- split: 91_frames
path: data/91_frames-*
- split: 83_frames
path: data/83_frames-*
- split: 54_frames
path: data/54_frames-*
- split: 115_frames
path: data/115_frames-*
- split: 29_frames
path: data/29_frames-*
- split: 37_frames
path: data/37_frames-*
- split: 107_frames
path: data/107_frames-*
- split: 119_frames
path: data/119_frames-*
- split: 164_frames
path: data/164_frames-*
- split: 25_frames
path: data/25_frames-*
- split: 131_frames
path: data/131_frames-*
- split: 70_frames
path: data/70_frames-*
- split: 152_frames
path: data/152_frames-*
- split: 13_frames
path: data/13_frames-*
- split: 140_frames
path: data/140_frames-*
- split: 27_frames
path: data/27_frames-*
- split: 35_frames
path: data/35_frames-*
- split: 56_frames
path: data/56_frames-*
- split: 117_frames
path: data/117_frames-*
- split: 142_frames
path: data/142_frames-*
- split: 60_frames
path: data/60_frames-*
- split: 150_frames
path: data/150_frames-*
- split: 11_frames
path: data/11_frames-*
- split: 133_frames
path: data/133_frames-*
- split: 72_frames
path: data/72_frames-*
- split: 4_frames
path: data/4_frames-*
- split: 8_frames
path: data/8_frames-*
- split: 81_frames
path: data/81_frames-*
- split: 93_frames
path: data/93_frames-*
- split: 154_frames
path: data/154_frames-*
- split: 15_frames
path: data/15_frames-*
- split: 129_frames
path: data/129_frames-*
- split: 137_frames
path: data/137_frames-*
- split: 76_frames
path: data/76_frames-*
- split: 146_frames
path: data/146_frames-*
- split: 19_frames
path: data/19_frames-*
- split: 158_frames
path: data/158_frames-*
- split: 64_frames
path: data/64_frames-*
- split: 31_frames
path: data/31_frames-*
- split: 113_frames
path: data/113_frames-*
- split: 162_frames
path: data/162_frames-*
- split: 23_frames
path: data/23_frames-*
- split: 89_frames
path: data/89_frames-*
- split: 85_frames
path: data/85_frames-*
- split: 0_frames
path: data/0_frames-*
- split: 87_frames
path: data/87_frames-*
- split: 95_frames
path: data/95_frames-*
- split: 2_frames
path: data/2_frames-*
- split: 66_frames
path: data/66_frames-*
- split: 127_frames
path: data/127_frames-*
- split: 144_frames
path: data/144_frames-*
- split: 78_frames
path: data/78_frames-*
- split: 139_frames
path: data/139_frames-*
- split: 148_frames
path: data/148_frames-*
- split: 135_frames
path: data/135_frames-*
- split: 74_frames
path: data/74_frames-*
- split: 156_frames
path: data/156_frames-*
- split: 17_frames
path: data/17_frames-*
- split: 160_frames
path: data/160_frames-*
- split: 21_frames
path: data/21_frames-*
- split: 50_frames
path: data/50_frames-*
- split: 33_frames
path: data/33_frames-*
My Spraix Dataset
This dataset is a demo created for the Animator2D-v1.0.0 project, with the goal of generating pixel-art sprite animations from textual prompts. It is still in the preparation phase and contains sprite frames extracted and organized into subfolders, each with associated metadata.
Dataset Details
- Format: PNG for frames, JSON for metadata.
- Structure: Numbered subfolders (e.g.,
152_frames
) containing sequential frames (e.g.,frame_000.png
). - Usage: Designed for training 2D animation generation models.
Citation
This dataset was derived and inspired by the pawkanarek/spraix_1024
dataset available on Hugging Face. Please cite the original dataset if you use this work:
- Original Dataset:
pawkanarek/spraix_1024
Available at: https://huggingface.co/datasets/pawkanarek/spraix_1024