prompt
stringlengths 13
109
| subject
stringclasses 30
values | uid
int32 0
214
| subject_id
int32 0
29
|
---|---|---|---|
a <token> backpack in Paris | backpack | 0 | 0 |
a <token> backpack in Grand Canyon | backpack | 1 | 0 |
a <token> backpack in the water | backpack | 2 | 0 |
a <token> backpack in Versailles | backpack | 3 | 0 |
a <token> backpack under the blue moon | backpack | 4 | 0 |
a <token> backpack dog on the beach | backpack_dog | 5 | 1 |
a <token> backpack dog covered in snow | backpack_dog | 6 | 1 |
a <token> backpack dog on the desk | backpack_dog | 7 | 1 |
a <token> backpack dog in the trash bin | backpack_dog | 8 | 1 |
a man carrying <token> backpack dog | backpack_dog | 9 | 1 |
A <token> bear plushie on a bed | bear_plushie | 10 | 2 |
a <token> bear plushie in a baby stroller | bear_plushie | 11 | 2 |
a <token> bear plushie in a basket | bear_plushie | 12 | 2 |
Two <token> bear plushie in the store | bear_plushie | 13 | 2 |
a <token> bear plushie in a temple | bear_plushie | 14 | 2 |
a <token> berry bowl with flower | berry_bowl | 15 | 3 |
a dog is eating a <token> berry bowl | berry_bowl | 16 | 3 |
a <token> berry bowl in the fridge | berry_bowl | 17 | 3 |
a <token> berry bowl floating on a river | berry_bowl | 18 | 3 |
a boy selling a <token> berry bowl | berry_bowl | 19 | 3 |
A <token> can in supermarket | can | 20 | 4 |
a <token> can | can | 21 | 4 |
a <token> can hung on a tree | can | 22 | 4 |
A cat is opening a <token> can | can | 23 | 4 |
a <token> can on the sand | can | 24 | 4 |
A <token> candle on a bed table | candle | 25 | 5 |
A <token> candle sitting on a mirror | candle | 26 | 5 |
A <token> candle floating in a sink | candle | 27 | 5 |
A <token> candle in a toilet | candle | 28 | 5 |
A <token> candle decorated with flowers | candle | 29 | 5 |
A <token> cat reading a book | cat | 30 | 6 |
A dog sitting with a <token> cat | cat | 31 | 6 |
A <token> cat in a box | cat | 32 | 6 |
A <token> cat is sleeping | cat | 33 | 6 |
A <token> cat is riding a bike | cat | 34 | 6 |
Two <token> cat kissing each other | cat2 | 35 | 7 |
A <token> cat reading a book | cat2 | 36 | 7 |
A Monet-style painting of <token> cat with a hat on a vacation | cat2 | 37 | 7 |
A <token> cat in a TV | cat2 | 38 | 7 |
A <token> cat with a hat in a TV | cat2 | 39 | 7 |
A <token> clock on the street | clock | 40 | 8 |
A <token> clock on a bed | clock | 41 | 8 |
A <token> clock on the beach | clock | 42 | 8 |
A <token> clock drown in the water | clock | 43 | 8 |
A <token> clock on a table | clock | 44 | 8 |
A cat inside a <token> colorful sneaker | colorful_sneaker | 45 | 9 |
a <token> colorful sneaker with graffiti | colorful_sneaker | 46 | 9 |
A <token> colorful sneaker with Nike logo | colorful_sneaker | 47 | 9 |
a <token> colorful sneaker in a shop | colorful_sneaker | 48 | 9 |
A dirty <token> colorful sneaker | colorful_sneaker | 49 | 9 |
a <token> dog in the Versailles hall of mirrors | dog | 50 | 10 |
a <token> dog in the gardens of Versailles | dog | 51 | 10 |
a <token> dog in Coachella | dog | 52 | 10 |
a <token> dog in moutain Fuji | dog | 53 | 10 |
a <token> dog in Eiffel Tower | dog | 54 | 10 |
a <token> dog in the Versailles hall of mirrors | dog2 | 55 | 11 |
a <token> dog in the gardens of Versailles | dog2 | 56 | 11 |
a <token> dog in Coachella | dog2 | 57 | 11 |
a <token> dog in moutain Fuji | dog2 | 58 | 11 |
a <token> dog in Eiffel Tower | dog2 | 59 | 11 |
a <token> dog in the Versailles hall of mirrors | dog3 | 60 | 12 |
a <token> dog in the gardens of Versailles | dog3 | 61 | 12 |
a <token> dog in Coachella | dog3 | 62 | 12 |
a <token> dog in moutain Fuji | dog3 | 63 | 12 |
a <token> dog in Eiffel Tower | dog3 | 64 | 12 |
a <token> dog in the Versailles hall of mirrors | dog5 | 65 | 13 |
a <token> dog in the gardens of Versailles | dog5 | 66 | 13 |
a <token> dog in Coachella | dog5 | 67 | 13 |
a <token> dog in moutain Fuji | dog5 | 68 | 13 |
a <token> dog in Eiffel Tower | dog5 | 69 | 13 |
a <token> dog in front of Acropolis | dog6 | 70 | 14 |
a <token> dog swimming | dog6 | 71 | 14 |
a <token> dog in doghouse | dog6 | 72 | 14 |
a <token> dog sleeping | dog6 | 73 | 14 |
a <token> dog having a haircut | dog6 | 74 | 14 |
a <token> dog jumping over a vehicle on a snowy day | dog7 | 75 | 15 |
a <token> dog watching a TV show about birds | dog7 | 76 | 15 |
a <token> dog reading a book with a pink glasses on | dog7 | 77 | 15 |
a <token> dog eating an ice-cream in a bowl | dog7 | 78 | 15 |
a <token> dog talking to a british shorthair in the garden | dog7 | 79 | 15 |
a <token> dog sniffing a backpack | dog8 | 80 | 16 |
a <token> dog standing on a lush green field | dog8 | 81 | 16 |
A <token> dog herding a group of sheep | dog8 | 82 | 16 |
A <token> dog swimming in a river | dog8 | 83 | 16 |
A <token> dog sticking its head out of a car window | dog8 | 84 | 16 |
a <token> dog sniffing a backpack in the airport | dog8 | 85 | 16 |
a <token> dog standing on a lush green field looking at a frisbee | dog8 | 86 | 16 |
A <token> dog herding a group of sheep in the thunderstorm | dog8 | 87 | 16 |
A <token> dog swimming in a river wearing a detective hat | dog8 | 88 | 16 |
A <token> dog wearing goggles sticking its head out of a car window | dog8 | 89 | 16 |
a <token> duck toy floats lazily in the bathtub | duck_toy | 90 | 17 |
a <token> duck toy on TV | duck_toy | 91 | 17 |
a <token> duck toy sits on a dusty shelf | duck_toy | 92 | 17 |
a <token> duck toy on the bed | duck_toy | 93 | 17 |
a <token> duck toy on the shelf | duck_toy | 94 | 17 |
a <token> duck toy floats lazily in the bathtub full of blue bubbles | duck_toy | 95 | 17 |
a <token> duck toy waddles on the floor as the puppy chases after it | duck_toy | 96 | 17 |
a <token> duck toy with dirty clothes sits on a dusty shelf | duck_toy | 97 | 17 |
a <token> duck toy on the bed with a nightcap | duck_toy | 98 | 17 |
a stack of <token> duck toy on the shelf | duck_toy | 99 | 17 |
End of preview. Expand
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Dataset Card
Dataset in ImagenHub.
Citation
Please kindly cite our paper if you use our code, data, models or results:
@article{ku2023imagenhub,
title={ImagenHub: Standardizing the evaluation of conditional image generation models},
author={Max Ku and Tianle Li and Kai Zhang and Yujie Lu and Xingyu Fu and Wenwen Zhuang and Wenhu Chen},
journal={arXiv preprint arXiv:2310.01596},
year={2023}
}
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