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tag_probs sequence | class class label 3
classes |
|---|---|
[
0.9665334820747375,
0.3179880678653717,
0.05422183498740196,
0.6434755921363831,
0.4944400191307068,
0.16682875156402588,
0.13318459689617157,
0.2366379201412201,
0.3278190791606903,
0.09195851534605026,
0.10944052040576935,
0.7652254700660706,
0.04306989163160324,
0.009867046028375626,
... | 1bookmarked_public |
[0.9895458817481995,0.4537489414215088,0.09234442561864853,0.29977819323539734,0.36865657567977905,0(...TRUNCATED) | 0not_bookmarked |
[0.9948694705963135,0.44919028878211975,0.11880280077457428,0.44756877422332764,0.3366175591945648,0(...TRUNCATED) | 0not_bookmarked |
[0.007582829799503088,0.9360988140106201,0.24347172677516937,0.11186512559652328,0.3078443706035614,(...TRUNCATED) | 1bookmarked_public |
[0.9896960258483887,0.9884629845619202,0.9029574990272522,0.8815255761146545,0.23565731942653656,0.0(...TRUNCATED) | 0not_bookmarked |
[0.9878594279289246,0.9862635135650635,0.9278155565261841,0.9118077158927917,0.30819934606552124,0.4(...TRUNCATED) | 0not_bookmarked |
[0.9806703329086304,0.14833180606365204,0.05674349516630173,0.9904364943504333,0.6183050870895386,0.(...TRUNCATED) | 0not_bookmarked |
[0.48813682794570923,0.9834064245223999,0.9160650372505188,0.6604650020599365,0.6160822510719299,0.7(...TRUNCATED) | 0not_bookmarked |
[0.2567432224750519,0.9624466300010681,0.9635476469993591,0.21326468884944916,0.38435098528862,0.424(...TRUNCATED) | 0not_bookmarked |
[0.9963772892951965,0.5723775029182434,0.3831123113632202,0.3843851387500763,0.26899150013923645,0.0(...TRUNCATED) | 0not_bookmarked |
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The dataset for training classification model of pixiv artworks by my preference.
Schema
- tag_probs: List of probabilities for each tag. Preprocessed by RF5/danbooru-pretrained model. The index of each probability corresponds to the index of the tag in the class_names_6000.json file.
- class:
- not_bookmarked (0): Generated from images randomly-sampled from animelover/danbooru2022 dataset. The images are filtered in advance to the post with pixiv source.
- bookmarked_public (1): Generated from publicly bookmarked images of hakatashi.
- bookmarked_private (2): Generated from privately bookmarked images of hakatashi.
Stats
train:test:validation = 6:2:2
- not_bookmarked (0): 202,290 images
- bookmarked_public (1): 73,587 images
- bookmarked_private (2): 22,659 images
Usage
>>> from datasets import load_dataset
>>> dataset = load_dataset("hakatashi/hakatashi-pixiv-bookmark-deepdanbooru")
>>> dataset
DatasetDict({
test: Dataset({
features: ['tag_probs', 'class'],
num_rows: 59707
})
train: Dataset({
features: ['tag_probs', 'class'],
num_rows: 179121
})
validation: Dataset({
features: ['tag_probs', 'class'],
num_rows: 59708
})
})
>>> dataset['train'].features
{'tag_probs': Sequence(feature=Value(dtype='float32', id=None), length=-1, id=None),
'class': ClassLabel(names=['not_bookmarked', 'bookmarked_public', 'bookmarked_private'], id=None)}
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