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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'class'}) and 3 missing columns ({'objB', 'relation', 'objA'}).
This happened while the json dataset builder was generating data using
hf://datasets/j-min/layoutbench-coco/count_layouts_2_4.json (at revision 23e6b7413e0b3a9d12b8394eb8e630f715717ef4)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
box_ids: list<item: int64>
child 0, item: int64
boxes_normalized: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
id: int64
count: int64
class: string
split: string
box_captions: list<item: string>
child 0, item: string
caption: string
file_name: string
to
{'objB': Value(dtype='string', id=None), 'boxes_normalized': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'id': Value(dtype='int64', id=None), 'box_ids': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'relation': Value(dtype='string', id=None), 'count': Value(dtype='int64', id=None), 'split': Value(dtype='string', id=None), 'box_captions': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'caption': Value(dtype='string', id=None), 'objA': Value(dtype='string', id=None), 'file_name': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1577, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1191, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'class'}) and 3 missing columns ({'objB', 'relation', 'objA'}).
This happened while the json dataset builder was generating data using
hf://datasets/j-min/layoutbench-coco/count_layouts_2_4.json (at revision 23e6b7413e0b3a9d12b8394eb8e630f715717ef4)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
objB
string | boxes_normalized
sequence | id
int64 | box_ids
sequence | relation
string | count
int64 | split
string | box_captions
sequence | caption
string | objA
string | file_name
string |
|---|---|---|---|---|---|---|---|---|---|---|
vase | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,760 | [
7120,
7121
] | holding | 2 | common | [
"person",
"vase"
] | person is holding vase | person | combination_common_holding_person_vase_iter0.png |
vase | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,761 | [
7122,
7123
] | holding | 2 | common | [
"person",
"vase"
] | person is holding vase | person | combination_common_holding_person_vase_iter1.png |
vase | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,762 | [
7124,
7125
] | holding | 2 | common | [
"person",
"vase"
] | person is holding vase | person | combination_common_holding_person_vase_iter2.png |
baseball glove | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,763 | [
7126,
7127
] | holding | 2 | common | [
"person",
"baseball glove"
] | person is holding baseball glove | person | combination_common_holding_person_baseball glove_iter0.png |
baseball glove | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,764 | [
7128,
7129
] | holding | 2 | common | [
"person",
"baseball glove"
] | person is holding baseball glove | person | combination_common_holding_person_baseball glove_iter1.png |
baseball glove | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,765 | [
7130,
7131
] | holding | 2 | common | [
"person",
"baseball glove"
] | person is holding baseball glove | person | combination_common_holding_person_baseball glove_iter2.png |
handbag | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,766 | [
7132,
7133
] | holding | 2 | common | [
"person",
"handbag"
] | person is holding handbag | person | combination_common_holding_person_handbag_iter0.png |
handbag | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,767 | [
7134,
7135
] | holding | 2 | common | [
"person",
"handbag"
] | person is holding handbag | person | combination_common_holding_person_handbag_iter1.png |
handbag | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,768 | [
7136,
7137
] | holding | 2 | common | [
"person",
"handbag"
] | person is holding handbag | person | combination_common_holding_person_handbag_iter2.png |
banana | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,769 | [
7138,
7139
] | holding | 2 | common | [
"person",
"banana"
] | person is holding banana | person | combination_common_holding_person_banana_iter0.png |
banana | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,770 | [
7140,
7141
] | holding | 2 | common | [
"person",
"banana"
] | person is holding banana | person | combination_common_holding_person_banana_iter1.png |
banana | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,771 | [
7142,
7143
] | holding | 2 | common | [
"person",
"banana"
] | person is holding banana | person | combination_common_holding_person_banana_iter2.png |
banana | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,772 | [
7144,
7145
] | holding | 2 | common | [
"elephant",
"banana"
] | elephant is holding banana | elephant | combination_common_holding_elephant_banana_iter0.png |
banana | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,773 | [
7146,
7147
] | holding | 2 | common | [
"elephant",
"banana"
] | elephant is holding banana | elephant | combination_common_holding_elephant_banana_iter1.png |
banana | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,774 | [
7148,
7149
] | holding | 2 | common | [
"elephant",
"banana"
] | elephant is holding banana | elephant | combination_common_holding_elephant_banana_iter2.png |
mouse | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,775 | [
7150,
7151
] | holding | 2 | common | [
"cat",
"mouse"
] | cat is holding mouse | cat | combination_common_holding_cat_mouse_iter0.png |
mouse | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,776 | [
7152,
7153
] | holding | 2 | common | [
"cat",
"mouse"
] | cat is holding mouse | cat | combination_common_holding_cat_mouse_iter1.png |
mouse | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,777 | [
7154,
7155
] | holding | 2 | common | [
"cat",
"mouse"
] | cat is holding mouse | cat | combination_common_holding_cat_mouse_iter2.png |
bowl | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,778 | [
7156,
7157
] | holding | 2 | common | [
"person",
"bowl"
] | person is holding bowl | person | combination_common_holding_person_bowl_iter0.png |
bowl | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,779 | [
7158,
7159
] | holding | 2 | common | [
"person",
"bowl"
] | person is holding bowl | person | combination_common_holding_person_bowl_iter1.png |
bowl | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,780 | [
7160,
7161
] | holding | 2 | common | [
"person",
"bowl"
] | person is holding bowl | person | combination_common_holding_person_bowl_iter2.png |
dog | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,781 | [
7162,
7163
] | holding | 2 | common | [
"person",
"dog"
] | person is holding dog | person | combination_common_holding_person_dog_iter0.png |
dog | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,782 | [
7164,
7165
] | holding | 2 | common | [
"person",
"dog"
] | person is holding dog | person | combination_common_holding_person_dog_iter1.png |
dog | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,783 | [
7166,
7167
] | holding | 2 | common | [
"person",
"dog"
] | person is holding dog | person | combination_common_holding_person_dog_iter2.png |
tennis racket | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,784 | [
7168,
7169
] | holding | 2 | common | [
"person",
"tennis racket"
] | person is holding tennis racket | person | combination_common_holding_person_tennis racket_iter0.png |
tennis racket | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,785 | [
7170,
7171
] | holding | 2 | common | [
"person",
"tennis racket"
] | person is holding tennis racket | person | combination_common_holding_person_tennis racket_iter1.png |
tennis racket | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,786 | [
7172,
7173
] | holding | 2 | common | [
"person",
"tennis racket"
] | person is holding tennis racket | person | combination_common_holding_person_tennis racket_iter2.png |
cat | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,787 | [
7174,
7175
] | holding | 2 | common | [
"person",
"cat"
] | person is holding cat | person | combination_common_holding_person_cat_iter0.png |
cat | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,788 | [
7176,
7177
] | holding | 2 | common | [
"person",
"cat"
] | person is holding cat | person | combination_common_holding_person_cat_iter1.png |
cat | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,789 | [
7178,
7179
] | holding | 2 | common | [
"person",
"cat"
] | person is holding cat | person | combination_common_holding_person_cat_iter2.png |
umbrella | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,790 | [
7180,
7181
] | holding | 2 | common | [
"person",
"umbrella"
] | person is holding umbrella | person | combination_common_holding_person_umbrella_iter0.png |
umbrella | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,791 | [
7182,
7183
] | holding | 2 | common | [
"person",
"umbrella"
] | person is holding umbrella | person | combination_common_holding_person_umbrella_iter1.png |
umbrella | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,792 | [
7184,
7185
] | holding | 2 | common | [
"person",
"umbrella"
] | person is holding umbrella | person | combination_common_holding_person_umbrella_iter2.png |
sports ball | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,793 | [
7186,
7187
] | holding | 2 | common | [
"dog",
"sports ball"
] | dog is holding sports ball | dog | combination_common_holding_dog_sports ball_iter0.png |
sports ball | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,794 | [
7188,
7189
] | holding | 2 | common | [
"dog",
"sports ball"
] | dog is holding sports ball | dog | combination_common_holding_dog_sports ball_iter1.png |
sports ball | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,795 | [
7190,
7191
] | holding | 2 | common | [
"dog",
"sports ball"
] | dog is holding sports ball | dog | combination_common_holding_dog_sports ball_iter2.png |
tie | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,796 | [
7192,
7193
] | holding | 2 | common | [
"person",
"tie"
] | person is holding tie | person | combination_common_holding_person_tie_iter0.png |
tie | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,797 | [
7194,
7195
] | holding | 2 | common | [
"person",
"tie"
] | person is holding tie | person | combination_common_holding_person_tie_iter1.png |
tie | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,798 | [
7196,
7197
] | holding | 2 | common | [
"person",
"tie"
] | person is holding tie | person | combination_common_holding_person_tie_iter2.png |
cell phone | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,799 | [
7198,
7199
] | holding | 2 | common | [
"handbag",
"cell phone"
] | handbag is holding cell phone | handbag | combination_common_holding_handbag_cell phone_iter0.png |
cell phone | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,800 | [
7200,
7201
] | holding | 2 | common | [
"handbag",
"cell phone"
] | handbag is holding cell phone | handbag | combination_common_holding_handbag_cell phone_iter1.png |
cell phone | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,801 | [
7202,
7203
] | holding | 2 | common | [
"handbag",
"cell phone"
] | handbag is holding cell phone | handbag | combination_common_holding_handbag_cell phone_iter2.png |
wine glass | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,802 | [
7204,
7205
] | holding | 2 | common | [
"person",
"wine glass"
] | person is holding wine glass | person | combination_common_holding_person_wine glass_iter0.png |
wine glass | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,803 | [
7206,
7207
] | holding | 2 | common | [
"person",
"wine glass"
] | person is holding wine glass | person | combination_common_holding_person_wine glass_iter1.png |
wine glass | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,804 | [
7208,
7209
] | holding | 2 | common | [
"person",
"wine glass"
] | person is holding wine glass | person | combination_common_holding_person_wine glass_iter2.png |
bottle | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,805 | [
7210,
7211
] | holding | 2 | common | [
"backpack",
"bottle"
] | backpack is holding bottle | backpack | combination_common_holding_backpack_bottle_iter0.png |
bottle | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,806 | [
7212,
7213
] | holding | 2 | common | [
"backpack",
"bottle"
] | backpack is holding bottle | backpack | combination_common_holding_backpack_bottle_iter1.png |
bottle | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,807 | [
7214,
7215
] | holding | 2 | common | [
"backpack",
"bottle"
] | backpack is holding bottle | backpack | combination_common_holding_backpack_bottle_iter2.png |
cup | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,808 | [
7216,
7217
] | holding | 2 | common | [
"person",
"cup"
] | person is holding cup | person | combination_common_holding_person_cup_iter0.png |
cup | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,809 | [
7218,
7219
] | holding | 2 | common | [
"person",
"cup"
] | person is holding cup | person | combination_common_holding_person_cup_iter1.png |
cup | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,810 | [
7220,
7221
] | holding | 2 | common | [
"person",
"cup"
] | person is holding cup | person | combination_common_holding_person_cup_iter2.png |
laptop | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,811 | [
7222,
7223
] | holding | 2 | common | [
"suitcase",
"laptop"
] | suitcase is holding laptop | suitcase | combination_common_holding_suitcase_laptop_iter0.png |
laptop | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,812 | [
7224,
7225
] | holding | 2 | common | [
"suitcase",
"laptop"
] | suitcase is holding laptop | suitcase | combination_common_holding_suitcase_laptop_iter1.png |
laptop | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,813 | [
7226,
7227
] | holding | 2 | common | [
"suitcase",
"laptop"
] | suitcase is holding laptop | suitcase | combination_common_holding_suitcase_laptop_iter2.png |
surfboard | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,814 | [
7228,
7229
] | holding | 2 | common | [
"person",
"surfboard"
] | person is holding surfboard | person | combination_common_holding_person_surfboard_iter0.png |
surfboard | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,815 | [
7230,
7231
] | holding | 2 | common | [
"person",
"surfboard"
] | person is holding surfboard | person | combination_common_holding_person_surfboard_iter1.png |
surfboard | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,816 | [
7232,
7233
] | holding | 2 | common | [
"person",
"surfboard"
] | person is holding surfboard | person | combination_common_holding_person_surfboard_iter2.png |
book | [
[
0.208984375,
0.134765625,
0.73828125,
0.87109375
],
[
0.62890625,
0.287109375,
0.84765625,
0.482421875
]
] | 1,817 | [
7234,
7235
] | holding | 2 | common | [
"backpack",
"book"
] | backpack is holding book | backpack | combination_common_holding_backpack_book_iter0.png |
book | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.103515625,
0.234375,
0.322265625,
0.4296875
]
] | 1,818 | [
7236,
7237
] | holding | 2 | common | [
"backpack",
"book"
] | backpack is holding book | backpack | combination_common_holding_backpack_book_iter1.png |
book | [
[
0.2421875,
0.125,
0.771484375,
0.861328125
],
[
0.69921875,
0.5234375,
0.841796875,
0.6640625
]
] | 1,819 | [
7238,
7239
] | holding | 2 | common | [
"backpack",
"book"
] | backpack is holding book | backpack | combination_common_holding_backpack_book_iter2.png |
bicycle | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | 1,820 | [
7240,
7241
] | next to | 2 | common | [
"person",
"bicycle"
] | person is next to bicycle | person | combination_common_next to_person_bicycle_iter0.png |
bicycle | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.236328125,
0.44921875,
0.697265625
]
] | 1,821 | [
7242,
7243
] | next to | 2 | common | [
"person",
"bicycle"
] | person is next to bicycle | person | combination_common_next to_person_bicycle_iter1.png |
bicycle | [
[
0.53125,
0.4453125,
0.982421875,
0.916015625
],
[
0.119140625,
0.580078125,
0.435546875,
0.875
]
] | 1,822 | [
7244,
7245
] | next to | 2 | common | [
"person",
"bicycle"
] | person is next to bicycle | person | combination_common_next to_person_bicycle_iter2.png |
motorcycle | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | 1,823 | [
7246,
7247
] | next to | 2 | common | [
"car",
"motorcycle"
] | car is next to motorcycle | car | combination_common_next to_car_motorcycle_iter0.png |
motorcycle | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.236328125,
0.44921875,
0.697265625
]
] | 1,824 | [
7248,
7249
] | next to | 2 | common | [
"car",
"motorcycle"
] | car is next to motorcycle | car | combination_common_next to_car_motorcycle_iter1.png |
motorcycle | [
[
0.53125,
0.4453125,
0.982421875,
0.916015625
],
[
0.119140625,
0.580078125,
0.435546875,
0.875
]
] | 1,825 | [
7250,
7251
] | next to | 2 | common | [
"car",
"motorcycle"
] | car is next to motorcycle | car | combination_common_next to_car_motorcycle_iter2.png |
train | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | 1,826 | [
7252,
7253
] | next to | 2 | common | [
"bus",
"train"
] | bus is next to train | bus | combination_common_next to_bus_train_iter0.png |
train | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.236328125,
0.44921875,
0.697265625
]
] | 1,827 | [
7254,
7255
] | next to | 2 | common | [
"bus",
"train"
] | bus is next to train | bus | combination_common_next to_bus_train_iter1.png |
train | [
[
0.53125,
0.4453125,
0.982421875,
0.916015625
],
[
0.119140625,
0.580078125,
0.435546875,
0.875
]
] | 1,828 | [
7256,
7257
] | next to | 2 | common | [
"bus",
"train"
] | bus is next to train | bus | combination_common_next to_bus_train_iter2.png |
boat | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | 1,829 | [
7258,
7259
] | next to | 2 | common | [
"truck",
"boat"
] | truck is next to boat | truck | combination_common_next to_truck_boat_iter0.png |
boat | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.236328125,
0.44921875,
0.697265625
]
] | 1,830 | [
7260,
7261
] | next to | 2 | common | [
"truck",
"boat"
] | truck is next to boat | truck | combination_common_next to_truck_boat_iter1.png |
boat | [
[
0.53125,
0.4453125,
0.982421875,
0.916015625
],
[
0.119140625,
0.580078125,
0.435546875,
0.875
]
] | 1,831 | [
7262,
7263
] | next to | 2 | common | [
"truck",
"boat"
] | truck is next to boat | truck | combination_common_next to_truck_boat_iter2.png |
fire hydrant | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | 1,832 | [
7264,
7265
] | next to | 2 | common | [
"traffic light",
"fire hydrant"
] | traffic light is next to fire hydrant | traffic light | combination_common_next to_traffic light_fire hydrant_iter0.png |
fire hydrant | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.236328125,
0.44921875,
0.697265625
]
] | 1,833 | [
7266,
7267
] | next to | 2 | common | [
"traffic light",
"fire hydrant"
] | traffic light is next to fire hydrant | traffic light | combination_common_next to_traffic light_fire hydrant_iter1.png |
fire hydrant | [
[
0.53125,
0.4453125,
0.982421875,
0.916015625
],
[
0.119140625,
0.580078125,
0.435546875,
0.875
]
] | 1,834 | [
7268,
7269
] | next to | 2 | common | [
"traffic light",
"fire hydrant"
] | traffic light is next to fire hydrant | traffic light | combination_common_next to_traffic light_fire hydrant_iter2.png |
parking meter | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | 1,835 | [
7270,
7271
] | next to | 2 | common | [
"stop sign",
"parking meter"
] | stop sign is next to parking meter | stop sign | combination_common_next to_stop sign_parking meter_iter0.png |
parking meter | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.236328125,
0.44921875,
0.697265625
]
] | 1,836 | [
7272,
7273
] | next to | 2 | common | [
"stop sign",
"parking meter"
] | stop sign is next to parking meter | stop sign | combination_common_next to_stop sign_parking meter_iter1.png |
parking meter | [
[
0.53125,
0.4453125,
0.982421875,
0.916015625
],
[
0.119140625,
0.580078125,
0.435546875,
0.875
]
] | 1,837 | [
7274,
7275
] | next to | 2 | common | [
"stop sign",
"parking meter"
] | stop sign is next to parking meter | stop sign | combination_common_next to_stop sign_parking meter_iter2.png |
fire hydrant | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | 1,838 | [
7276,
7277
] | next to | 2 | common | [
"bench",
"fire hydrant"
] | bench is next to fire hydrant | bench | combination_common_next to_bench_fire hydrant_iter0.png |
fire hydrant | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.236328125,
0.44921875,
0.697265625
]
] | 1,839 | [
7278,
7279
] | next to | 2 | common | [
"bench",
"fire hydrant"
] | bench is next to fire hydrant | bench | combination_common_next to_bench_fire hydrant_iter1.png |
fire hydrant | [
[
0.53125,
0.4453125,
0.982421875,
0.916015625
],
[
0.119140625,
0.580078125,
0.435546875,
0.875
]
] | 1,840 | [
7280,
7281
] | next to | 2 | common | [
"bench",
"fire hydrant"
] | bench is next to fire hydrant | bench | combination_common_next to_bench_fire hydrant_iter2.png |
cat | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | 1,841 | [
7282,
7283
] | next to | 2 | common | [
"bird",
"cat"
] | bird is next to cat | bird | combination_common_next to_bird_cat_iter0.png |
cat | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.236328125,
0.44921875,
0.697265625
]
] | 1,842 | [
7284,
7285
] | next to | 2 | common | [
"bird",
"cat"
] | bird is next to cat | bird | combination_common_next to_bird_cat_iter1.png |
cat | [
[
0.53125,
0.4453125,
0.982421875,
0.916015625
],
[
0.119140625,
0.580078125,
0.435546875,
0.875
]
] | 1,843 | [
7286,
7287
] | next to | 2 | common | [
"bird",
"cat"
] | bird is next to cat | bird | combination_common_next to_bird_cat_iter2.png |
horse | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | 1,844 | [
7288,
7289
] | next to | 2 | common | [
"dog",
"horse"
] | dog is next to horse | dog | combination_common_next to_dog_horse_iter0.png |
horse | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.236328125,
0.44921875,
0.697265625
]
] | 1,845 | [
7290,
7291
] | next to | 2 | common | [
"dog",
"horse"
] | dog is next to horse | dog | combination_common_next to_dog_horse_iter1.png |
horse | [
[
0.53125,
0.4453125,
0.982421875,
0.916015625
],
[
0.119140625,
0.580078125,
0.435546875,
0.875
]
] | 1,846 | [
7292,
7293
] | next to | 2 | common | [
"dog",
"horse"
] | dog is next to horse | dog | combination_common_next to_dog_horse_iter2.png |
cow | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | 1,847 | [
7294,
7295
] | next to | 2 | common | [
"sheep",
"cow"
] | sheep is next to cow | sheep | combination_common_next to_sheep_cow_iter0.png |
cow | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.236328125,
0.44921875,
0.697265625
]
] | 1,848 | [
7296,
7297
] | next to | 2 | common | [
"sheep",
"cow"
] | sheep is next to cow | sheep | combination_common_next to_sheep_cow_iter1.png |
cow | [
[
0.53125,
0.4453125,
0.982421875,
0.916015625
],
[
0.119140625,
0.580078125,
0.435546875,
0.875
]
] | 1,849 | [
7298,
7299
] | next to | 2 | common | [
"sheep",
"cow"
] | sheep is next to cow | sheep | combination_common_next to_sheep_cow_iter2.png |
zebra | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | 1,850 | [
7300,
7301
] | next to | 2 | common | [
"elephant",
"zebra"
] | elephant is next to zebra | elephant | combination_common_next to_elephant_zebra_iter0.png |
zebra | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.236328125,
0.44921875,
0.697265625
]
] | 1,851 | [
7302,
7303
] | next to | 2 | common | [
"elephant",
"zebra"
] | elephant is next to zebra | elephant | combination_common_next to_elephant_zebra_iter1.png |
zebra | [
[
0.53125,
0.4453125,
0.982421875,
0.916015625
],
[
0.119140625,
0.580078125,
0.435546875,
0.875
]
] | 1,852 | [
7304,
7305
] | next to | 2 | common | [
"elephant",
"zebra"
] | elephant is next to zebra | elephant | combination_common_next to_elephant_zebra_iter2.png |
zebra | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | 1,853 | [
7306,
7307
] | next to | 2 | common | [
"giraffe",
"zebra"
] | giraffe is next to zebra | giraffe | combination_common_next to_giraffe_zebra_iter0.png |
zebra | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.236328125,
0.44921875,
0.697265625
]
] | 1,854 | [
7308,
7309
] | next to | 2 | common | [
"giraffe",
"zebra"
] | giraffe is next to zebra | giraffe | combination_common_next to_giraffe_zebra_iter1.png |
zebra | [
[
0.53125,
0.4453125,
0.982421875,
0.916015625
],
[
0.119140625,
0.580078125,
0.435546875,
0.875
]
] | 1,855 | [
7310,
7311
] | next to | 2 | common | [
"giraffe",
"zebra"
] | giraffe is next to zebra | giraffe | combination_common_next to_giraffe_zebra_iter2.png |
umbrella | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | 1,856 | [
7312,
7313
] | next to | 2 | common | [
"backpack",
"umbrella"
] | backpack is next to umbrella | backpack | combination_common_next to_backpack_umbrella_iter0.png |
umbrella | [
[
0.529296875,
0.234375,
0.98046875,
0.705078125
],
[
0.0859375,
0.236328125,
0.44921875,
0.697265625
]
] | 1,857 | [
7314,
7315
] | next to | 2 | common | [
"backpack",
"umbrella"
] | backpack is next to umbrella | backpack | combination_common_next to_backpack_umbrella_iter1.png |
umbrella | [
[
0.53125,
0.4453125,
0.982421875,
0.916015625
],
[
0.119140625,
0.580078125,
0.435546875,
0.875
]
] | 1,858 | [
7316,
7317
] | next to | 2 | common | [
"backpack",
"umbrella"
] | backpack is next to umbrella | backpack | combination_common_next to_backpack_umbrella_iter2.png |
bottle | [
[
0.529296875,
0.408203125,
0.8828125,
0.693359375
],
[
0.109375,
0.40234375,
0.408203125,
0.69140625
]
] | 1,859 | [
7318,
7319
] | next to | 2 | common | [
"wine glass",
"bottle"
] | wine glass is next to bottle | wine glass | combination_common_next to_wine glass_bottle_iter0.png |
End of preview.
LayoutBench-COCO
Release of LayoutBench-COCO dataset from Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation (CVPR 2024 Workshop)
See also LayoutBench for fine-grained evaluation on OOD layouts with CLEVR objects.
[Project Page] [Paper]
Authors: Jaemin Cho, Linjie Li, Zhengyuan Yang, Zhe Gan, Lijuan Wang, Mohit Bansal
Summary
LayoutBench-COCO is a diagnostic benchmark that examines layout-guided image generation models on arbitrary, unseen layouts. Unlike LayoutBench, LayoutBench-COCO consists of OOD layouts of real objects and suports zero-shot evaluation. LayoutBench-COCO measures 4 skills (Number, Position, Size, Combination), whose objects are from MS COCO. The new 'combination’ split consists of layouts with two objects in different spatial relations, and the remaining three splits are similar to those of LayoutBench.
Skill Details
Skill 1: Number.
We define two layouts for 2∼10 objects and use 40 COCO objects, resulting in 720 total layouts (= 2×9×40). We name the layouts with 2∼4 and 8∼10 objects as few and many splits. The layouts are paired with captions with a template “a photo of [N] [objects]”.
Skill 2: Position.
For each of boundary and center splits, we define four layouts with 40 COCO objects, resulting in 320 total layouts (= 2 × 4 × 40). The layouts are paired with captions with a template “a photo of [N] [objects]”.
Skill 3: Size.
For each of tiny and large splits, we define nine layouts with 40 COCO objects, resulting in 720 total layouts (= 9×2×40). The layouts are paired with captions with a template “a photo of [N] [objects]”.
Skill 4: Combination.
This skill measures whether a model can generate two objects that commonly or uncommonly appear in the real world. For each of the three spatial relations (holding, next to, sitting on), we define three layouts without specifying objects. For each of the three relations, we manually define 20 object pairs of COCO objects for common and uncommon splits. For example, (1) ‘person sitting on chair’ is more common than (2) ‘elephant sitting on banana’ in real life. This results in 360 total layouts (= 2×3×3×20). The layouts are paired with captions with a template “[objA] [relation] [objB]”.
Use of LayoutBench-COCO
Step 1. Download LayoutBench-COCO and Generate Images from Layouts
Please see Step 1 README for instructions on downloading LayoutBench-COCO and generating images from layouts.
Step 2. Run Evaluation
Please see Step 2 README for instructions on running evaluation on LayoutBench-COCO.
Citation
@inproceedings{Cho2024LayoutBench,
author = {Jaemin Cho and Linjie Li and Zhengyuan Yang and Zhe Gan and Lijuan Wang and Mohit Bansal},
title = {Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation},
booktitle = {The First Workshop on the Evaluation of Generative Foundation Models},
year = {2024},
}
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