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zzl66666
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cir_dataset

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Tags:
composed image retrieval
image retrieval
acmmm2024
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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
train-11041-2-img0: string
train-11041-0-img1: string
train-5247-3-img1: string
train-10570-3-img0: string
train-9206-0-img0: string
train-5703-0-img1: string
train-6069-0-img0: string
train-7757-1-img1: string
train-4414-2-img0: string
train-7069-3-img1: string
train-7069-2-img0: string
train-8369-3-img0: string
train-11650-3-img0: string
train-10786-0-img1: string
train-12802-0-img1: string
train-13013-0-img1: string
train-5476-0-img1: string
train-3297-0-img1: string
train-3628-2-img1: string
train-4412-3-img1: string
train-12827-3-img0: string
train-12827-2-img1: string
train-7026-0-img1: string
train-8218-0-img0: string
train-5845-2-img1: string
train-4855-2-img0: string
train-10798-3-img0: string
train-2594-1-img1: string
train-12088-2-img1: string
train-11773-0-img1: string
train-10035-1-img1: string
train-8449-0-img1: string
train-1044-1-img0: string
train-4313-1-img1: string
train-4152-3-img0: string
train-391-2-img1: string
train-13002-0-img1: string
train-4468-1-img1: string
train-9258-0-img1: string
train-2839-0-img1: string
train-11999-1-img0: string
train-2154-0-img1: string
train-5681-2-img0: string
train-9762-0-img0: string
train-3006-0-img0: string
train-1836-3-img1: string
train-1194-2-img0: string
train-2145-2-img1: string
train-5651-2-img1: string
train-11132-0-img1: string
train-10601-2-img1: string
train-2105-2-img0: string
train-12239-1-img1: string
train-1519-2-img0: string
train-6611-3-img0: string
train-8336-0-img0: string
train-8336-3-img1: string
t
...
rain-8666-1-img1: string
train-10937-1-img1: string
train-4721-1-img1: string
train-1401-0-img0: string
train-2502-2-img1: string
train-12721-2-img0: string
train-2692-3-img1: string
train-3061-3-img1: string
train-5901-3-img0: string
train-934-1-img0: string
train-11774-3-img0: string
train-5053-3-img0: string
train-8645-0-img0: string
train-11716-0-img1: string
train-5107-0-img0: string
train-12173-2-img0: string
train-11776-1-img0: string
train-7600-3-img1: string
train-5603-0-img1: string
train-6767-1-img1: string
train-11708-2-img1: string
train-12655-0-img0: string
train-2481-3-img0: string
train-8302-1-img0: string
train-7686-2-img0: string
train-4504-0-img0: string
train-12924-1-img1: string
train-10838-0-img1: string
train-919-2-img1: string
train-4793-1-img0: string
train-5817-1-img1: string
train-4664-0-img1: string
train-3166-3-img0: string
train-6723-1-img0: string
train-8733-1-img1: string
train-5318-2-img1: string
train-5817-3-img0: string
train-5817-0-img1: string
train-3301-1-img1: string
train-2834-2-img1: string
train-9623-0-img1: string
train-603-0-img1: string
train-9649-2-img1: string
train-2834-1-img1: string
train-11083-0-img0: string
train-8699-2-img0: string
train-1755-2-img0: string
train-9820-3-img1: string
train-701-1-img0: string
train-11405-3-img0: string
train-3981-2-img1: string
train-9689-3-img0: string
target_soft: extension<arrow.json>
-- schema metadata --
huggingface: '{"info": {"features": {"train-11041-2-img0": {"dtype": "str' + 1019081
to
{'pairid': Value('int64'), 'reference': Value('string'), 'target_hard': Value('string'), 'target_soft': Json(decode=True), 'caption': Value('string'), 'img_set': {'id': Value('int64'), 'members': List(Value('string')), 'reference_rank': Value('int64'), 'target_rank': Value('int64')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 764, in write_table
                  self.write_rows_on_file()  # in case there are buffered rows to write first
                  ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              train-11041-2-img0: string
              train-11041-0-img1: string
              train-5247-3-img1: string
              train-10570-3-img0: string
              train-9206-0-img0: string
              train-5703-0-img1: string
              train-6069-0-img0: string
              train-7757-1-img1: string
              train-4414-2-img0: string
              train-7069-3-img1: string
              train-7069-2-img0: string
              train-8369-3-img0: string
              train-11650-3-img0: string
              train-10786-0-img1: string
              train-12802-0-img1: string
              train-13013-0-img1: string
              train-5476-0-img1: string
              train-3297-0-img1: string
              train-3628-2-img1: string
              train-4412-3-img1: string
              train-12827-3-img0: string
              train-12827-2-img1: string
              train-7026-0-img1: string
              train-8218-0-img0: string
              train-5845-2-img1: string
              train-4855-2-img0: string
              train-10798-3-img0: string
              train-2594-1-img1: string
              train-12088-2-img1: string
              train-11773-0-img1: string
              train-10035-1-img1: string
              train-8449-0-img1: string
              train-1044-1-img0: string
              train-4313-1-img1: string
              train-4152-3-img0: string
              train-391-2-img1: string
              train-13002-0-img1: string
              train-4468-1-img1: string
              train-9258-0-img1: string
              train-2839-0-img1: string
              train-11999-1-img0: string
              train-2154-0-img1: string
              train-5681-2-img0: string
              train-9762-0-img0: string
              train-3006-0-img0: string
              train-1836-3-img1: string
              train-1194-2-img0: string
              train-2145-2-img1: string
              train-5651-2-img1: string
              train-11132-0-img1: string
              train-10601-2-img1: string
              train-2105-2-img0: string
              train-12239-1-img1: string
              train-1519-2-img0: string
              train-6611-3-img0: string
              train-8336-0-img0: string
              train-8336-3-img1: string
              t
              ...
              rain-8666-1-img1: string
              train-10937-1-img1: string
              train-4721-1-img1: string
              train-1401-0-img0: string
              train-2502-2-img1: string
              train-12721-2-img0: string
              train-2692-3-img1: string
              train-3061-3-img1: string
              train-5901-3-img0: string
              train-934-1-img0: string
              train-11774-3-img0: string
              train-5053-3-img0: string
              train-8645-0-img0: string
              train-11716-0-img1: string
              train-5107-0-img0: string
              train-12173-2-img0: string
              train-11776-1-img0: string
              train-7600-3-img1: string
              train-5603-0-img1: string
              train-6767-1-img1: string
              train-11708-2-img1: string
              train-12655-0-img0: string
              train-2481-3-img0: string
              train-8302-1-img0: string
              train-7686-2-img0: string
              train-4504-0-img0: string
              train-12924-1-img1: string
              train-10838-0-img1: string
              train-919-2-img1: string
              train-4793-1-img0: string
              train-5817-1-img1: string
              train-4664-0-img1: string
              train-3166-3-img0: string
              train-6723-1-img0: string
              train-8733-1-img1: string
              train-5318-2-img1: string
              train-5817-3-img0: string
              train-5817-0-img1: string
              train-3301-1-img1: string
              train-2834-2-img1: string
              train-9623-0-img1: string
              train-603-0-img1: string
              train-9649-2-img1: string
              train-2834-1-img1: string
              train-11083-0-img0: string
              train-8699-2-img0: string
              train-1755-2-img0: string
              train-9820-3-img1: string
              train-701-1-img0: string
              train-11405-3-img0: string
              train-3981-2-img1: string
              train-9689-3-img0: string
              target_soft: extension<arrow.json>
              -- schema metadata --
              huggingface: '{"info": {"features": {"train-11041-2-img0": {"dtype": "str' + 1019081
              to
              {'pairid': Value('int64'), 'reference': Value('string'), 'target_hard': Value('string'), 'target_soft': Json(decode=True), 'caption': Value('string'), 'img_set': {'id': Value('int64'), 'members': List(Value('string')), 'reference_rank': Value('int64'), 'target_rank': Value('int64')}}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, 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 16939 new columns ({'train-9343-0-img0', 'train-8242-2-img1', 'train-5088-0-img0', 'train-5291-0-img1', 'train-12486-2-img1', 'train-2587-0-img1', 'train-5646-1-img1', 'train-2171-0-img0', 'train-12826-2-img0', 'train-2725-0-img1', 'train-7811-0-img1', 'train-3340-1-img1', 'train-4021-1-img1', 'train-12139-2-img0', 'train-615-2-img1', 'train-2588-0-img0', 'train-9863-3-img1', 'train-8814-3-img1', 'train-1108-1-img1', 'train-10472-2-img1', 'train-13058-3-img0', 'train-1811-2-img1', 'train-3221-3-img1', 'train-367-1-img0', 'train-12434-2-img0', 'train-1313-2-img1', 'train-12093-2-img1', 'train-3505-3-img0', 'train-4680-1-img1', 'train-6213-1-img0', 'train-9552-3-img0', 'train-3900-0-img0', 'train-8112-3-img1', 'train-11060-3-img1', 'train-3831-3-img0', 'train-12756-3-img0', 'train-11836-3-img1', 'train-12039-2-img1', 'train-11993-3-img0', 'train-8363-2-img1', 'train-2524-2-img1', 'train-7519-1-img0', 'train-7523-3-img1', 'train-1360-0-img0', 'train-11467-2-img0', 'train-4569-1-img0', 'train-9124-0-img1', 'train-1885-0-img0', 'train-6569-3-img1', 'train-12927-3-img0', 'train-10867-3-img0', 'train-1094-3-img0', 'train-4969-1-img1', 'train-2296-2-img0', 'train-10413-2-img0', 'train-3189-3-img0', 'train-1956-0-img1', 'train-8336-1-img1', 'train-8780-3-img0', 'train-6475-3-img0', 'train-5276-0-img0', 'train-5192-0-img1', 'train-12584-0-img0', 'train-992-3-img1', 'train-9754-2-img0', 'train-5203-0-img0', 'train-1868-3-img1', 'train-11674-2-img1', 'train-2342-1-img0', 'train-3789-1-img0', 'train-1869-3-
              ...
              n-247-0-img0', 'train-4496-2-img1', 'train-3022-3-img0', 'train-10568-3-img0', 'train-12913-2-img1', 'train-2252-0-img0', 'train-2699-1-img0', 'train-4915-1-img1', 'train-3130-3-img0', 'train-6914-2-img0', 'train-8195-3-img1', 'train-901-3-img0', 'train-6010-3-img1', 'train-2704-2-img1', 'train-717-1-img0', 'train-11807-2-img0', 'train-6039-1-img1', 'train-1310-2-img1', 'train-12646-1-img0', 'train-10012-2-img0', 'train-12378-3-img0', 'train-10245-0-img1', 'train-12467-2-img0', 'train-5728-3-img0', 'train-11816-3-img0', 'train-159-2-img1', 'train-9286-0-img1', 'train-4556-0-img1', 'train-5619-2-img1', 'train-5396-1-img0', 'train-1172-3-img0', 'train-11576-2-img0', 'train-9962-3-img0', 'train-11020-2-img1', 'train-6733-3-img1', 'train-8618-1-img0', 'train-6468-2-img0', 'train-10378-1-img0', 'train-7699-0-img1', 'train-10039-1-img1', 'train-11235-0-img1', 'train-7305-2-img0', 'train-8311-3-img1', 'train-5579-3-img1', 'train-2852-0-img1', 'train-7493-3-img0', 'train-2566-2-img0', 'train-6516-0-img0', 'train-7118-2-img0', 'train-11256-1-img1', 'train-3862-2-img0', 'train-10284-1-img0', 'train-3208-2-img1', 'train-3593-2-img0', 'train-2715-0-img0', 'train-1796-0-img0', 'train-6647-0-img0', 'train-7165-3-img0', 'train-12721-2-img0', 'train-9089-0-img0', 'train-7384-3-img0', 'train-2668-1-img1', 'train-5442-3-img0', 'train-12473-0-img0', 'train-10099-3-img0', 'train-7035-1-img0', 'train-1947-1-img1', 'train-8220-0-img0', 'train-1458-3-img1', 'train-5520-1-img1', 'train-9110-3-img0'}) and 5 missing columns ({'pairid', 'target_hard', 'caption', 'reference', 'img_set'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/zzl66666/cir_dataset/fashionIQ_dataset/captions/cap.dress.train.json (at revision bfad61e94a480739cfdaa8e0a344355e57f7e0e0), ['hf://datasets/zzl66666/cir_dataset@bfad61e94a480739cfdaa8e0a344355e57f7e0e0/cirr_dataset/cirr/captions/cap.rc2.train.json', 'hf://datasets/zzl66666/cir_dataset@bfad61e94a480739cfdaa8e0a344355e57f7e0e0/cirr_dataset/cirr/image_splits/split.rc2.train.json', 'hf://datasets/zzl66666/cir_dataset@bfad61e94a480739cfdaa8e0a344355e57f7e0e0/fashionIQ_dataset/captions/cap.dress.train.json', 'hf://datasets/zzl66666/cir_dataset@bfad61e94a480739cfdaa8e0a344355e57f7e0e0/fashionIQ_dataset/captions/cap.shirt.train.json', 'hf://datasets/zzl66666/cir_dataset@bfad61e94a480739cfdaa8e0a344355e57f7e0e0/fashionIQ_dataset/captions/cap.toptee.train.json', 'hf://datasets/zzl66666/cir_dataset@bfad61e94a480739cfdaa8e0a344355e57f7e0e0/fashionIQ_dataset/image_splits/split.dress.train.json', 'hf://datasets/zzl66666/cir_dataset@bfad61e94a480739cfdaa8e0a344355e57f7e0e0/fashionIQ_dataset/image_splits/split.shirt.train.json', 'hf://datasets/zzl66666/cir_dataset@bfad61e94a480739cfdaa8e0a344355e57f7e0e0/fashionIQ_dataset/image_splits/split.toptee.train.json'], ['hf://datasets/zzl66666/cir_dataset@bfad61e94a480739cfdaa8e0a344355e57f7e0e0/cirr_dataset/cirr/captions/cap.rc2.train.json', 'hf://datasets/zzl66666/cir_dataset@bfad61e94a480739cfdaa8e0a344355e57f7e0e0/cirr_dataset/cirr/image_splits/split.rc2.train.json', 'hf://datasets/zzl66666/cir_dataset@bfad61e94a480739cfdaa8e0a344355e57f7e0e0/fashionIQ_dataset/captions/cap.dress.train.json', 'hf://datasets/zzl66666/cir_dataset@bfad61e94a480739cfdaa8e0a344355e57f7e0e0/fashionIQ_dataset/captions/cap.shirt.train.json', 'hf://datasets/zzl66666/cir_dataset@bfad61e94a480739cfdaa8e0a344355e57f7e0e0/fashionIQ_dataset/captions/cap.toptee.train.json', 'hf://datasets/zzl66666/cir_dataset@bfad61e94a480739cfdaa8e0a344355e57f7e0e0/fashionIQ_dataset/image_splits/split.dress.train.json', 'hf://datasets/zzl66666/cir_dataset@bfad61e94a480739cfdaa8e0a344355e57f7e0e0/fashionIQ_dataset/image_splits/split.shirt.train.json', 'hf://datasets/zzl66666/cir_dataset@bfad61e94a480739cfdaa8e0a344355e57f7e0e0/fashionIQ_dataset/image_splits/split.toptee.train.json']
              
              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)
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1821, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              train-11041-2-img0: string
              train-11041-0-img1: string
              train-5247-3-img1: string
              train-10570-3-img0: string
              train-9206-0-img0: string
              train-5703-0-img1: string
              train-6069-0-img0: string
              train-7757-1-img1: string
              train-4414-2-img0: string
              train-7069-3-img1: string
              train-7069-2-img0: string
              train-8369-3-img0: string
              train-11650-3-img0: string
              train-10786-0-img1: string
              train-12802-0-img1: string
              train-13013-0-img1: string
              train-5476-0-img1: string
              train-3297-0-img1: string
              train-3628-2-img1: string
              train-4412-3-img1: string
              train-12827-3-img0: string
              train-12827-2-img1: string
              train-7026-0-img1: string
              train-8218-0-img0: string
              train-5845-2-img1: string
              train-4855-2-img0: string
              train-10798-3-img0: string
              train-2594-1-img1: string
              train-12088-2-img1: string
              train-11773-0-img1: string
              train-10035-1-img1: string
              train-8449-0-img1: string
              train-1044-1-img0: string
              train-4313-1-img1: string
              train-4152-3-img0: string
              train-391-2-img1: string
              train-13002-0-img1: string
              train-4468-1-img1: string
              train-9258-0-img1: string
              train-2839-0-img1: string
              train-11999-1-img0: string
              train-2154-0-img1: string
              train-5681-2-img0: string
              train-9762-0-img0: string
              train-3006-0-img0: string
              train-1836-3-img1: string
              train-1194-2-img0: string
              train-2145-2-img1: string
              train-5651-2-img1: string
              train-11132-0-img1: string
              train-10601-2-img1: string
              train-2105-2-img0: string
              train-12239-1-img1: string
              train-1519-2-img0: string
              train-6611-3-img0: string
              train-8336-0-img0: string
              train-8336-3-img1: string
              t
              ...
              rain-8666-1-img1: string
              train-10937-1-img1: string
              train-4721-1-img1: string
              train-1401-0-img0: string
              train-2502-2-img1: string
              train-12721-2-img0: string
              train-2692-3-img1: string
              train-3061-3-img1: string
              train-5901-3-img0: string
              train-934-1-img0: string
              train-11774-3-img0: string
              train-5053-3-img0: string
              train-8645-0-img0: string
              train-11716-0-img1: string
              train-5107-0-img0: string
              train-12173-2-img0: string
              train-11776-1-img0: string
              train-7600-3-img1: string
              train-5603-0-img1: string
              train-6767-1-img1: string
              train-11708-2-img1: string
              train-12655-0-img0: string
              train-2481-3-img0: string
              train-8302-1-img0: string
              train-7686-2-img0: string
              train-4504-0-img0: string
              train-12924-1-img1: string
              train-10838-0-img1: string
              train-919-2-img1: string
              train-4793-1-img0: string
              train-5817-1-img1: string
              train-4664-0-img1: string
              train-3166-3-img0: string
              train-6723-1-img0: string
              train-8733-1-img1: string
              train-5318-2-img1: string
              train-5817-3-img0: string
              train-5817-0-img1: string
              train-3301-1-img1: string
              train-2834-2-img1: string
              train-9623-0-img1: string
              train-603-0-img1: string
              train-9649-2-img1: string
              train-2834-1-img1: string
              train-11083-0-img0: string
              train-8699-2-img0: string
              train-1755-2-img0: string
              train-9820-3-img1: string
              train-701-1-img0: string
              train-11405-3-img0: string
              train-3981-2-img1: string
              train-9689-3-img0: string
              target_soft: extension<arrow.json>
              -- schema metadata --
              huggingface: '{"info": {"features": {"train-11041-2-img0": {"dtype": "str' + 1019081
              to
              {'pairid': Value('int64'), 'reference': Value('string'), 'target_hard': Value('string'), 'target_soft': Json(decode=True), 'caption': Value('string'), 'img_set': {'id': Value('int64'), 'members': List(Value('string')), 'reference_rank': Value('int64'), 'target_rank': Value('int64')}}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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.

pairid
int64
reference
string
target_hard
string
target_soft
string
caption
string
img_set
dict
0
train-11041-2-img0
train-11041-0-img1
{"train-11041-0-img1":1.0}
Table and chairs turn to more dark color and has a gray carpet
{ "id": 6, "members": [ "train-5247-3-img1", "train-11041-0-img1", "train-11041-2-img0", "train-10570-3-img0", "train-9206-0-img0", "train-5703-0-img1" ], "reference_rank": 0, "target_rank": 2 }
1
train-11041-2-img0
train-5703-0-img1
{"train-5703-0-img1":1.0}
Has a black dining carpet
{ "id": 6, "members": [ "train-5247-3-img1", "train-11041-0-img1", "train-11041-2-img0", "train-10570-3-img0", "train-9206-0-img0", "train-5703-0-img1" ], "reference_rank": 0, "target_rank": 3 }
2
train-11041-2-img0
train-5247-3-img1
{"train-5247-3-img1":1.0}
has six white chairs
{ "id": 6, "members": [ "train-5247-3-img1", "train-11041-0-img1", "train-11041-2-img0", "train-10570-3-img0", "train-9206-0-img0", "train-5703-0-img1" ], "reference_rank": 0, "target_rank": 4 }
3
train-6069-0-img0
train-7757-1-img1
{"train-7757-1-img1":1.0}
bed is having nicely placed black blanket
{ "id": 73, "members": [ "train-6069-0-img0", "train-7757-1-img1", "train-4414-2-img0", "train-7069-3-img1", "train-7069-2-img0", "train-8369-3-img0" ], "reference_rank": 3, "target_rank": 4 }
4
train-7757-1-img1
train-8369-3-img0
{"train-8369-3-img0":1.0}
bed is placed in a corner
{ "id": 73, "members": [ "train-6069-0-img0", "train-7757-1-img1", "train-4414-2-img0", "train-7069-3-img1", "train-7069-2-img0", "train-8369-3-img0" ], "reference_rank": 4, "target_rank": 5 }
5
train-8369-3-img0
train-4414-2-img0
{"train-4414-2-img0":1.0}
sofa set with so many different type of table lamps
{ "id": 73, "members": [ "train-6069-0-img0", "train-7757-1-img1", "train-4414-2-img0", "train-7069-3-img1", "train-7069-2-img0", "train-8369-3-img0" ], "reference_rank": 5, "target_rank": 0 }
6
train-11650-3-img0
train-10786-0-img1
{"train-10786-0-img1":1.0}
Pomeranian in grass instead of a panda.
{ "id": 207, "members": [ "train-10786-0-img1", "train-12802-0-img1", "train-13013-0-img1", "train-5476-0-img1", "train-11650-3-img0", "train-3297-0-img1" ], "reference_rank": 1, "target_rank": 2 }
7
train-10786-0-img1
train-12802-0-img1
{"train-12802-0-img1":1.0}
Pomeranian is tilting its head to the right.
{ "id": 207, "members": [ "train-10786-0-img1", "train-12802-0-img1", "train-13013-0-img1", "train-5476-0-img1", "train-11650-3-img0", "train-3297-0-img1" ], "reference_rank": 2, "target_rank": 3 }
8
train-12802-0-img1
train-13013-0-img1
{"train-13013-0-img1":1.0}
Pomeranian is sitting on a white surface instead of a gray one.
{ "id": 207, "members": [ "train-10786-0-img1", "train-12802-0-img1", "train-13013-0-img1", "train-5476-0-img1", "train-11650-3-img0", "train-3297-0-img1" ], "reference_rank": 3, "target_rank": 4 }
9
train-3628-2-img1
train-4412-3-img1
{"train-4412-3-img1":1.0}
instead of an old fortress with a rampart, an Orthodox church with a courtyard
{ "id": 140, "members": [ "train-4412-3-img1", "train-3628-2-img1", "train-12827-3-img0", "train-12827-2-img1", "train-7026-0-img1", "train-8218-0-img0" ], "reference_rank": 4, "target_rank": 5 }
10
train-4412-3-img1
train-12827-3-img0
{"train-12827-3-img0":1.0}
There was an Orthodox church with a courtyard - an old castle in the Gothic style became
{ "id": 140, "members": [ "train-4412-3-img1", "train-3628-2-img1", "train-12827-3-img0", "train-12827-2-img1", "train-7026-0-img1", "train-8218-0-img0" ], "reference_rank": 5, "target_rank": 0 }
11
train-12827-3-img0
train-8218-0-img0
{"train-8218-0-img0":1.0}
There was an old castle in the Gothic style - now two eastern pagodas
{ "id": 140, "members": [ "train-4412-3-img1", "train-3628-2-img1", "train-12827-3-img0", "train-12827-2-img1", "train-7026-0-img1", "train-8218-0-img0" ], "reference_rank": 0, "target_rank": 2 }
12
train-13013-0-img1
train-3297-0-img1
{"train-3297-0-img1":1.0}
White fuzzy animal sits by the food bowl
{ "id": 207, "members": [ "train-10786-0-img1", "train-12802-0-img1", "train-13013-0-img1", "train-5476-0-img1", "train-11650-3-img0", "train-3297-0-img1" ], "reference_rank": 4, "target_rank": 5 }
13
train-3297-0-img1
train-5476-0-img1
{"train-5476-0-img1":1.0}
Furry animals sit on the floor
{ "id": 207, "members": [ "train-10786-0-img1", "train-12802-0-img1", "train-13013-0-img1", "train-5476-0-img1", "train-11650-3-img0", "train-3297-0-img1" ], "reference_rank": 5, "target_rank": 0 }
14
train-5476-0-img1
train-10786-0-img1
{"train-10786-0-img1":1.0}
Fuzzy animal on a leash outside
{ "id": 207, "members": [ "train-10786-0-img1", "train-12802-0-img1", "train-13013-0-img1", "train-5476-0-img1", "train-11650-3-img0", "train-3297-0-img1" ], "reference_rank": 0, "target_rank": 2 }
15
train-5845-2-img1
train-4855-2-img0
{"train-4855-2-img0":1.0}
Simpler library. Short ceiling. Some books on the ground.
{ "id": 7, "members": [ "train-10798-3-img0", "train-2594-1-img1", "train-12088-2-img1", "train-5845-2-img1", "train-11773-0-img1", "train-4855-2-img0" ], "reference_rank": 0, "target_rank": 2 }
16
train-5845-2-img1
train-10798-3-img0
{"train-10798-3-img0":1.0}
Front door on the background. Image focused in some books.
{ "id": 7, "members": [ "train-10798-3-img0", "train-2594-1-img1", "train-12088-2-img1", "train-5845-2-img1", "train-11773-0-img1", "train-4855-2-img0" ], "reference_rank": 0, "target_rank": 3 }
17
train-5845-2-img1
train-11773-0-img1
{"train-11773-0-img1":1.0}
Square smaller room, a table in the center and colorful shirts hanging from the ceiling.
{ "id": 7, "members": [ "train-10798-3-img0", "train-2594-1-img1", "train-12088-2-img1", "train-5845-2-img1", "train-11773-0-img1", "train-4855-2-img0" ], "reference_rank": 0, "target_rank": 4 }
18
train-10035-1-img1
train-8449-0-img1
{"train-8449-0-img1":1.0}
Brown dog sits on its bed
{ "id": 141, "members": [ "train-1044-1-img0", "train-10035-1-img1", "train-8449-0-img1", "train-4313-1-img1", "train-4152-3-img0", "train-391-2-img1" ], "reference_rank": 1, "target_rank": 2 }
19
train-8449-0-img1
train-391-2-img1
{"train-391-2-img1":1.0}
Brown dog hangs out in nature
{ "id": 141, "members": [ "train-1044-1-img0", "train-10035-1-img1", "train-8449-0-img1", "train-4313-1-img1", "train-4152-3-img0", "train-391-2-img1" ], "reference_rank": 2, "target_rank": 3 }
20
train-391-2-img1
train-1044-1-img0
{"train-1044-1-img0":1.0}
Shows dog chilling on the grass
{ "id": 141, "members": [ "train-1044-1-img0", "train-10035-1-img1", "train-8449-0-img1", "train-4313-1-img1", "train-4152-3-img0", "train-391-2-img1" ], "reference_rank": 3, "target_rank": 4 }
21
train-13002-0-img1
train-4468-1-img1
{"train-4468-1-img1":1.0}
Add a bed in front of the books.
{ "id": 208, "members": [ "train-9258-0-img1", "train-2839-0-img1", "train-11999-1-img0", "train-2154-0-img1", "train-13002-0-img1", "train-4468-1-img1" ], "reference_rank": 4, "target_rank": 5 }
22
train-4468-1-img1
train-11999-1-img0
{"train-11999-1-img0":1.0}
Just one shelf in the form of a balcon.
{ "id": 208, "members": [ "train-9258-0-img1", "train-2839-0-img1", "train-11999-1-img0", "train-2154-0-img1", "train-13002-0-img1", "train-4468-1-img1" ], "reference_rank": 5, "target_rank": 0 }
23
train-11999-1-img0
train-2839-0-img1
{"train-2839-0-img1":1.0}
More shelves, more books, more colorful.
{ "id": 208, "members": [ "train-9258-0-img1", "train-2839-0-img1", "train-11999-1-img0", "train-2154-0-img1", "train-13002-0-img1", "train-4468-1-img1" ], "reference_rank": 0, "target_rank": 2 }
24
train-5681-2-img0
train-9762-0-img0
{"train-9762-0-img0":1.0}
Simpler bathroom. Image more focused in the sink.
{ "id": 8, "members": [ "train-9762-0-img0", "train-3006-0-img0", "train-1836-3-img1", "train-1194-2-img0", "train-2145-2-img1", "train-5681-2-img0" ], "reference_rank": 3, "target_rank": 4 }
25
train-9762-0-img0
train-2145-2-img1
{"train-2145-2-img1":1.0,"train-5651-2-img1":-1.0}
Much more larger and sophisticated bathroom.
{ "id": 8, "members": [ "train-9762-0-img0", "train-3006-0-img0", "train-1836-3-img1", "train-1194-2-img0", "train-2145-2-img1", "train-5681-2-img0" ], "reference_rank": 4, "target_rank": 5 }
26
train-2145-2-img1
train-1836-3-img1
{"train-1836-3-img1":1.0}
Smaller bathroom. Image more focused in the sink.
{ "id": 8, "members": [ "train-9762-0-img0", "train-3006-0-img0", "train-1836-3-img1", "train-1194-2-img0", "train-2145-2-img1", "train-5681-2-img0" ], "reference_rank": 5, "target_rank": 0 }
27
train-11999-1-img0
train-2154-0-img1
{"train-2154-0-img1":1.0}
Window change to the middle of two bookshelves
{ "id": 208, "members": [ "train-9258-0-img1", "train-2839-0-img1", "train-11999-1-img0", "train-2154-0-img1", "train-13002-0-img1", "train-4468-1-img1" ], "reference_rank": 0, "target_rank": 3 }
28
train-11999-1-img0
train-13002-0-img1
{"train-13002-0-img1":1.0}
Bookshelf being light from the left side
{ "id": 208, "members": [ "train-9258-0-img1", "train-2839-0-img1", "train-11999-1-img0", "train-2154-0-img1", "train-13002-0-img1", "train-4468-1-img1" ], "reference_rank": 0, "target_rank": 4 }
29
train-11132-0-img1
train-10601-2-img1
{"train-10601-2-img1":1.0}
Leopards go to a more green area
{ "id": 209, "members": [ "train-10601-2-img1", "train-2105-2-img0", "train-11132-0-img1", "train-12239-1-img1", "train-1519-2-img0", "train-6611-3-img0" ], "reference_rank": 0, "target_rank": 1 }
30
train-1836-3-img1
train-1194-2-img0
{"train-1194-2-img0":1.0}
A more sophisticated bathroom. Shot from another angle, showing more sfuff.
{ "id": 8, "members": [ "train-9762-0-img0", "train-3006-0-img0", "train-1836-3-img1", "train-1194-2-img0", "train-2145-2-img1", "train-5681-2-img0" ], "reference_rank": 0, "target_rank": 2 }
31
train-1836-3-img1
train-5681-2-img0
{"train-5681-2-img0":1.0}
More sophisticated bathroom. The image is focused on the bath.
{ "id": 8, "members": [ "train-9762-0-img0", "train-3006-0-img0", "train-1836-3-img1", "train-1194-2-img0", "train-2145-2-img1", "train-5681-2-img0" ], "reference_rank": 0, "target_rank": 3 }
32
train-1836-3-img1
train-9762-0-img0
{"train-9762-0-img0":1.0}
It shows a simpler sink.
{ "id": 8, "members": [ "train-9762-0-img0", "train-3006-0-img0", "train-1836-3-img1", "train-1194-2-img0", "train-2145-2-img1", "train-5681-2-img0" ], "reference_rank": 0, "target_rank": 4 }
33
train-8336-0-img0
train-8336-3-img1
{"train-8336-3-img1":1.0}
Different color peppers on the ground
{ "id": 74, "members": [ "train-8336-0-img1", "train-8336-3-img1", "train-8336-0-img0", "train-8336-3-img0", "train-8147-0-img0", "train-2896-0-img0" ], "reference_rank": 0, "target_rank": 2 }
34
train-8336-0-img0
train-8147-0-img0
{"train-8147-0-img0":1.0}
Slice up the lemon and juice it
{ "id": 74, "members": [ "train-8336-0-img1", "train-8336-3-img1", "train-8336-0-img0", "train-8336-3-img0", "train-8147-0-img0", "train-2896-0-img0" ], "reference_rank": 0, "target_rank": 3 }
35
train-8336-0-img0
train-2896-0-img0
{"train-2896-0-img0":1.0}
Blend the fruits into a drink
{ "id": 74, "members": [ "train-8336-0-img1", "train-8336-3-img1", "train-8336-0-img0", "train-8336-3-img0", "train-8147-0-img0", "train-2896-0-img0" ], "reference_rank": 0, "target_rank": 4 }
36
train-4258-1-img1
train-6307-1-img0
{"train-6307-1-img0":1.0}
Add a bird, Place birds on extended human forearm (fist closed)
{ "id": 75, "members": [ "train-2097-3-img0", "train-6307-1-img0", "train-2312-3-img1", "train-4258-1-img1", "train-5039-0-img1", "train-7388-1-img0" ], "reference_rank": 0, "target_rank": 1 }
37
train-6307-1-img0
train-2097-3-img0
{"train-2097-3-img0":1.0}
Place birds on tree limb, Place birds with their beaks touching
{ "id": 75, "members": [ "train-2097-3-img0", "train-6307-1-img0", "train-2312-3-img1", "train-4258-1-img1", "train-5039-0-img1", "train-7388-1-img0" ], "reference_rank": 1, "target_rank": 2 }
38
train-2097-3-img0
train-2312-3-img1
{"train-2312-3-img1":1.0}
Remove a bird, Remove leaves, Place bird eye toward viewer
{ "id": 75, "members": [ "train-2097-3-img0", "train-6307-1-img0", "train-2312-3-img1", "train-4258-1-img1", "train-5039-0-img1", "train-7388-1-img0" ], "reference_rank": 2, "target_rank": 3 }
39
train-12239-1-img1
train-6611-3-img0
{"train-6611-3-img0":1.0}
have the cheetah sit with its tail curled up.
{ "id": 209, "members": [ "train-10601-2-img1", "train-2105-2-img0", "train-11132-0-img1", "train-12239-1-img1", "train-1519-2-img0", "train-6611-3-img0" ], "reference_rank": 4, "target_rank": 5 }
40
train-6611-3-img0
train-11132-0-img1
{"train-11132-0-img1":1.0}
have the cheetah face the other way.
{ "id": 209, "members": [ "train-10601-2-img1", "train-2105-2-img0", "train-11132-0-img1", "train-12239-1-img1", "train-1519-2-img0", "train-6611-3-img0" ], "reference_rank": 5, "target_rank": 0 }
41
train-11132-0-img1
train-2105-2-img0
{"train-2105-2-img0":1.0}
have three cheetahs.
{ "id": 209, "members": [ "train-10601-2-img1", "train-2105-2-img0", "train-11132-0-img1", "train-12239-1-img1", "train-1519-2-img0", "train-6611-3-img0" ], "reference_rank": 0, "target_rank": 2 }
42
train-5704-3-img0
train-9993-0-img1
{"train-9993-0-img1":1.0}
One dog sitting on a bed looking at the camera.
{ "id": 10, "members": [ "train-11967-2-img0", "train-6271-1-img0", "train-5704-3-img0", "train-8555-0-img1", "train-9993-0-img1", "train-3594-2-img0" ], "reference_rank": 0, "target_rank": 1 }
43
train-9993-0-img1
train-11967-2-img0
{"train-11967-2-img0":1.0}
Bigger dog in front of a white background.
{ "id": 10, "members": [ "train-11967-2-img0", "train-6271-1-img0", "train-5704-3-img0", "train-8555-0-img1", "train-9993-0-img1", "train-3594-2-img0" ], "reference_rank": 1, "target_rank": 2 }
44
train-11967-2-img0
train-6271-1-img0
{"train-6271-1-img0":1.0}
Two big dogs wearing ties and dark glasses.
{ "id": 10, "members": [ "train-11967-2-img0", "train-6271-1-img0", "train-5704-3-img0", "train-8555-0-img1", "train-9993-0-img1", "train-3594-2-img0" ], "reference_rank": 2, "target_rank": 3 }
45
train-6271-1-img0
train-3594-2-img0
{"train-3594-2-img0":1.0}
Animals curl up and sleep on the floor.
{ "id": 10, "members": [ "train-11967-2-img0", "train-6271-1-img0", "train-5704-3-img0", "train-8555-0-img1", "train-9993-0-img1", "train-3594-2-img0" ], "reference_rank": 3, "target_rank": 4 }
46
train-3594-2-img0
train-8555-0-img1
{"train-8555-0-img1":1.0}
Dog shows its behind.
{ "id": 10, "members": [ "train-11967-2-img0", "train-6271-1-img0", "train-5704-3-img0", "train-8555-0-img1", "train-9993-0-img1", "train-3594-2-img0" ], "reference_rank": 4, "target_rank": 5 }
47
train-8555-0-img1
train-5704-3-img0
{"train-5704-3-img0":1.0}
Dogs cuddle up on the floor asleep.
{ "id": 10, "members": [ "train-11967-2-img0", "train-6271-1-img0", "train-5704-3-img0", "train-8555-0-img1", "train-9993-0-img1", "train-3594-2-img0" ], "reference_rank": 5, "target_rank": 0 }
48
train-11561-1-img1
train-2946-3-img0
{"train-2946-3-img0":1.0}
Remove one of the parrots.
{ "id": 143, "members": [ "train-4258-3-img1", "train-860-3-img0", "train-10629-0-img1", "train-11561-1-img1", "train-2946-3-img0", "train-2946-2-img1" ], "reference_rank": 1, "target_rank": 2 }
49
train-2946-3-img0
train-860-3-img0
{"train-860-3-img0":1.0}
Remove the cage from the background and add a tree.
{ "id": 143, "members": [ "train-4258-3-img1", "train-860-3-img0", "train-10629-0-img1", "train-11561-1-img1", "train-2946-3-img0", "train-2946-2-img1" ], "reference_rank": 2, "target_rank": 3 }
50
train-860-3-img0
train-10629-0-img1
{"train-10629-0-img1":1.0}
Add one more parrots and make all of them sit on a concrete wall.
{ "id": 143, "members": [ "train-4258-3-img1", "train-860-3-img0", "train-10629-0-img1", "train-11561-1-img1", "train-2946-3-img0", "train-2946-2-img1" ], "reference_rank": 3, "target_rank": 4 }
51
train-4258-1-img1
train-2097-3-img0
{"train-2097-3-img0":1.0}
two birds, facing each other.
{ "id": 75, "members": [ "train-2097-3-img0", "train-6307-1-img0", "train-2312-3-img1", "train-4258-1-img1", "train-5039-0-img1", "train-7388-1-img0" ], "reference_rank": 0, "target_rank": 2 }
52
train-4258-1-img1
train-2312-3-img1
{"train-2312-3-img1":1.0}
no green in the background.
{ "id": 75, "members": [ "train-2097-3-img0", "train-6307-1-img0", "train-2312-3-img1", "train-4258-1-img1", "train-5039-0-img1", "train-7388-1-img0" ], "reference_rank": 0, "target_rank": 3 }
53
train-4258-1-img1
train-5039-0-img1
{"train-5039-0-img1":1.0}
still green in the background, but bird is standing straighter up.
{ "id": 75, "members": [ "train-2097-3-img0", "train-6307-1-img0", "train-2312-3-img1", "train-4258-1-img1", "train-5039-0-img1", "train-7388-1-img0" ], "reference_rank": 0, "target_rank": 4 }
54
train-5704-3-img0
train-11967-2-img0
{"train-11967-2-img0":1.0}
Make the dog sit on white background with a closeup portrait on the left
{ "id": 10, "members": [ "train-11967-2-img0", "train-6271-1-img0", "train-5704-3-img0", "train-8555-0-img1", "train-9993-0-img1", "train-3594-2-img0" ], "reference_rank": 0, "target_rank": 2 }
55
train-5704-3-img0
train-6271-1-img0
{"train-6271-1-img0":1.0}
Has two dogs wearing ties and sitting on a grey carpet in front of a black door
{ "id": 10, "members": [ "train-11967-2-img0", "train-6271-1-img0", "train-5704-3-img0", "train-8555-0-img1", "train-9993-0-img1", "train-3594-2-img0" ], "reference_rank": 0, "target_rank": 3 }
56
train-5704-3-img0
train-3594-2-img0
{"train-3594-2-img0":1.0}
Change to two white sleeping dogs
{ "id": 10, "members": [ "train-11967-2-img0", "train-6271-1-img0", "train-5704-3-img0", "train-8555-0-img1", "train-9993-0-img1", "train-3594-2-img0" ], "reference_rank": 0, "target_rank": 4 }
57
train-10629-0-img1
train-2946-2-img1
{"train-2946-2-img1":1.0}
bird is no in focus.
{ "id": 143, "members": [ "train-4258-3-img1", "train-860-3-img0", "train-10629-0-img1", "train-11561-1-img1", "train-2946-3-img0", "train-2946-2-img1" ], "reference_rank": 4, "target_rank": 5 }
58
train-2946-2-img1
train-4258-3-img1
{"train-4258-3-img1":1.0}
have a person in the background.
{ "id": 143, "members": [ "train-4258-3-img1", "train-860-3-img0", "train-10629-0-img1", "train-11561-1-img1", "train-2946-3-img0", "train-2946-2-img1" ], "reference_rank": 5, "target_rank": 0 }
59
train-4258-3-img1
train-2946-3-img0
{"train-2946-3-img0":1.0}
bird is in a cage.
{ "id": 143, "members": [ "train-4258-3-img1", "train-860-3-img0", "train-10629-0-img1", "train-11561-1-img1", "train-2946-3-img0", "train-2946-2-img1" ], "reference_rank": 0, "target_rank": 2 }
60
train-8606-0-img1
train-7343-1-img1
{"train-7343-1-img1":1.0}
Remove the bear, add one more dog.
{ "id": 11, "members": [ "train-11419-1-img1", "train-7343-1-img1", "train-5396-1-img0", "train-8606-0-img1", "train-2587-0-img1", "train-2339-3-img0" ], "reference_rank": 0, "target_rank": 1 }
61
train-7343-1-img1
train-2339-3-img0
{"train-2339-3-img0":1.0}
Remove one of the dogs, put him on a table.
{ "id": 11, "members": [ "train-11419-1-img1", "train-7343-1-img1", "train-5396-1-img0", "train-8606-0-img1", "train-2587-0-img1", "train-2339-3-img0" ], "reference_rank": 1, "target_rank": 2 }
62
train-2339-3-img0
train-5396-1-img0
{"train-5396-1-img0":1.0}
The dog is on the floor. He is playing with a ball.
{ "id": 11, "members": [ "train-11419-1-img1", "train-7343-1-img1", "train-5396-1-img0", "train-8606-0-img1", "train-2587-0-img1", "train-2339-3-img0" ], "reference_rank": 2, "target_rank": 3 }
63
train-12641-3-img0
train-1301-1-img0
{"train-1301-1-img0":1.0}
Change to a white grey church with only one tower and a grey sky behind
{ "id": 211, "members": [ "train-1301-1-img0", "train-1844-3-img0", "train-12641-3-img0", "train-4304-3-img1", "train-330-3-img0", "train-4133-1-img0" ], "reference_rank": 1, "target_rank": 2 }
64
train-1301-1-img0
train-330-3-img0
{"train-330-3-img0":1.0}
Change the sky to blue color
{ "id": 211, "members": [ "train-1301-1-img0", "train-1844-3-img0", "train-12641-3-img0", "train-4304-3-img1", "train-330-3-img0", "train-4133-1-img0" ], "reference_rank": 2, "target_rank": 3 }
65
train-330-3-img0
train-1844-3-img0
{"train-1844-3-img0":1.0}
Change to an orange church with some trees beside
{ "id": 211, "members": [ "train-1301-1-img0", "train-1844-3-img0", "train-12641-3-img0", "train-4304-3-img1", "train-330-3-img0", "train-4133-1-img0" ], "reference_rank": 3, "target_rank": 4 }
66
train-1158-3-img0
train-9800-3-img1
{"train-9800-3-img1":1.0}
Make the dog smaller, browner and younger.
{ "id": 144, "members": [ "train-796-3-img1", "train-1158-3-img0", "train-3614-3-img1", "train-9800-3-img1", "train-1577-3-img0", "train-11465-1-img1" ], "reference_rank": 1, "target_rank": 2 }
67
train-9800-3-img1
train-796-3-img1
{"train-796-3-img1":1.0}
Add one more dog with a birthday hat.
{ "id": 144, "members": [ "train-796-3-img1", "train-1158-3-img0", "train-3614-3-img1", "train-9800-3-img1", "train-1577-3-img0", "train-11465-1-img1" ], "reference_rank": 2, "target_rank": 3 }
68
train-796-3-img1
train-11465-1-img1
{"train-11465-1-img1":1.0}
Add a couch on the background. Remove one dog.
{ "id": 144, "members": [ "train-796-3-img1", "train-1158-3-img0", "train-3614-3-img1", "train-9800-3-img1", "train-1577-3-img0", "train-11465-1-img1" ], "reference_rank": 3, "target_rank": 4 }
69
train-5396-1-img0
train-11419-1-img1
{"train-11419-1-img1":1.0}
Remove dog toy, Add another dog, Place dogs on cushion
{ "id": 11, "members": [ "train-11419-1-img1", "train-7343-1-img1", "train-5396-1-img0", "train-8606-0-img1", "train-2587-0-img1", "train-2339-3-img0" ], "reference_rank": 3, "target_rank": 4 }
70
train-11419-1-img1
train-2587-0-img1
{"train-2587-0-img1":1.0}
Remove dog lying down, Change to blue cushion (place behind dog)
{ "id": 11, "members": [ "train-11419-1-img1", "train-7343-1-img1", "train-5396-1-img0", "train-8606-0-img1", "train-2587-0-img1", "train-2339-3-img0" ], "reference_rank": 4, "target_rank": 5 }
71
train-2587-0-img1
train-8606-0-img1
{"train-8606-0-img1":1.0}
Remove cushion, Place dog upon toy (stuffed bear)
{ "id": 11, "members": [ "train-11419-1-img1", "train-7343-1-img1", "train-5396-1-img0", "train-8606-0-img1", "train-2587-0-img1", "train-2339-3-img0" ], "reference_rank": 5, "target_rank": 0 }
72
train-1844-3-img0
train-4133-1-img0
{"train-4133-1-img0":1.0}
change to the front of a traditional church in a cloudy day
{ "id": 211, "members": [ "train-1301-1-img0", "train-1844-3-img0", "train-12641-3-img0", "train-4304-3-img1", "train-330-3-img0", "train-4133-1-img0" ], "reference_rank": 4, "target_rank": 5 }
73
train-4133-1-img0
train-4304-3-img1
{"train-4304-3-img1":1.0}
change to an old build with yellow color
{ "id": 211, "members": [ "train-1301-1-img0", "train-1844-3-img0", "train-12641-3-img0", "train-4304-3-img1", "train-330-3-img0", "train-4133-1-img0" ], "reference_rank": 5, "target_rank": 0 }
74
train-4304-3-img1
train-1301-1-img0
{"train-1301-1-img0":1.0}
the church color change to white
{ "id": 211, "members": [ "train-1301-1-img0", "train-1844-3-img0", "train-12641-3-img0", "train-4304-3-img1", "train-330-3-img0", "train-4133-1-img0" ], "reference_rank": 0, "target_rank": 2 }
75
train-11465-1-img1
train-1577-3-img0
{"train-1577-3-img0":1.0}
dog is having different color shade
{ "id": 144, "members": [ "train-796-3-img1", "train-1158-3-img0", "train-3614-3-img1", "train-9800-3-img1", "train-1577-3-img0", "train-11465-1-img1" ], "reference_rank": 4, "target_rank": 5 }
76
train-1577-3-img0
train-3614-3-img1
{"train-3614-3-img1":1.0}
dogs are standing in different angle
{ "id": 144, "members": [ "train-796-3-img1", "train-1158-3-img0", "train-3614-3-img1", "train-9800-3-img1", "train-1577-3-img0", "train-11465-1-img1" ], "reference_rank": 5, "target_rank": 0 }
77
train-3614-3-img1
train-9800-3-img1
{"train-9800-3-img1":1.0}
puppy is having different color
{ "id": 144, "members": [ "train-796-3-img1", "train-1158-3-img0", "train-3614-3-img1", "train-9800-3-img1", "train-1577-3-img0", "train-11465-1-img1" ], "reference_rank": 0, "target_rank": 2 }
78
train-8606-0-img1
train-2339-3-img0
{"train-2339-3-img0":1.0}
One dog standing on a table.
{ "id": 11, "members": [ "train-11419-1-img1", "train-7343-1-img1", "train-5396-1-img0", "train-8606-0-img1", "train-2587-0-img1", "train-2339-3-img0" ], "reference_rank": 0, "target_rank": 2 }
79
train-8606-0-img1
train-5396-1-img0
{"train-5396-1-img0":1.0}
The dog is sitting and playing with a ball.
{ "id": 11, "members": [ "train-11419-1-img1", "train-7343-1-img1", "train-5396-1-img0", "train-8606-0-img1", "train-2587-0-img1", "train-2339-3-img0" ], "reference_rank": 0, "target_rank": 3 }
80
train-8606-0-img1
train-11419-1-img1
{"train-11419-1-img1":1.0}
Two bigger dogs on a bed.
{ "id": 11, "members": [ "train-11419-1-img1", "train-7343-1-img1", "train-5396-1-img0", "train-8606-0-img1", "train-2587-0-img1", "train-2339-3-img0" ], "reference_rank": 0, "target_rank": 4 }
81
train-12333-0-img1
train-8242-2-img1
{"train-12333-0-img1":1.0,"train-5636-3-img1":1.0}
Slice up fruits and blend them.
{ "id": 212, "members": [ "train-12333-0-img1", "train-12465-1-img1", "train-5636-3-img1", "train-12178-0-img0", "train-8242-2-img1", "train-4220-3-img1" ], "reference_rank": 4, "target_rank": 5 }
82
train-8242-2-img1
train-12178-0-img0
{"train-12178-0-img0":1.0}
Paint a glass of water with cut lemons
{ "id": 212, "members": [ "train-12333-0-img1", "train-12465-1-img1", "train-5636-3-img1", "train-12178-0-img0", "train-8242-2-img1", "train-4220-3-img1" ], "reference_rank": 5, "target_rank": 0 }
83
train-12178-0-img0
train-12465-1-img1
{"train-12465-1-img1":1.0}
Blend oranges and put the juice in a pitcher and glass
{ "id": 212, "members": [ "train-12333-0-img1", "train-12465-1-img1", "train-5636-3-img1", "train-12178-0-img0", "train-8242-2-img1", "train-4220-3-img1" ], "reference_rank": 0, "target_rank": 2 }
84
train-3614-3-img1
train-796-3-img1
{"train-796-3-img1":1.0}
Add one smaller dog wearing a hat sitting beside
{ "id": 144, "members": [ "train-796-3-img1", "train-1158-3-img0", "train-3614-3-img1", "train-9800-3-img1", "train-1577-3-img0", "train-11465-1-img1" ], "reference_rank": 0, "target_rank": 3 }
85
train-3614-3-img1
train-11465-1-img1
{"train-11465-1-img1":1.0}
Take the closeup of the dog looking straight to the camera and sitting on a couch
{ "id": 144, "members": [ "train-796-3-img1", "train-1158-3-img0", "train-3614-3-img1", "train-9800-3-img1", "train-1577-3-img0", "train-11465-1-img1" ], "reference_rank": 0, "target_rank": 4 }
86
train-11041-1-img1
train-4625-0-img1
{"train-4625-0-img1":1.0,"train-10568-0-img1":-1.0,"train-5703-0-img1":-1.0}
Move the dining set beside the stairs and add some pictures on the wall
{ "id": 145, "members": [ "train-11041-1-img1", "train-10568-0-img1", "train-4625-0-img1", "train-2039-1-img0", "train-10570-3-img0", "train-5703-0-img1" ], "reference_rank": 0, "target_rank": 1 }
87
train-2795-0-img0
train-9288-1-img1
{"train-9288-1-img1":1.0}
The bathroom has a window that lets in light.
{ "id": 12, "members": [ "train-6922-1-img0", "train-2795-0-img0", "train-4162-1-img1", "train-4563-1-img0", "train-4563-1-img1", "train-9288-1-img1" ], "reference_rank": 3, "target_rank": 4 }
88
train-9288-1-img1
train-6922-1-img0
{"train-6922-1-img0":1.0}
The bathroom is darkly lit.
{ "id": 12, "members": [ "train-6922-1-img0", "train-2795-0-img0", "train-4162-1-img1", "train-4563-1-img0", "train-4563-1-img1", "train-9288-1-img1" ], "reference_rank": 4, "target_rank": 5 }
89
train-6922-1-img0
train-4563-1-img0
{"train-4563-1-img0":1.0}
The bathroom looks clean.
{ "id": 12, "members": [ "train-6922-1-img0", "train-2795-0-img0", "train-4162-1-img1", "train-4563-1-img0", "train-4563-1-img1", "train-9288-1-img1" ], "reference_rank": 5, "target_rank": 0 }
90
train-3956-1-img0
train-12662-1-img1
{"train-12662-1-img1":1.0}
Eliminate clarinet, Reduce to single saxaphone, Brass finish
{ "id": 77, "members": [ "train-12662-1-img1", "train-3956-1-img0", "train-6750-1-img1", "train-3604-3-img0", "train-383-2-img0", "train-586-0-img0" ], "reference_rank": 3, "target_rank": 4 }
91
train-12662-1-img1
train-3604-3-img0
{"train-3604-3-img0":1.0}
Add another saxaphone, Add one more saxaphone (smaller), Display all on light background
{ "id": 77, "members": [ "train-12662-1-img1", "train-3956-1-img0", "train-6750-1-img1", "train-3604-3-img0", "train-383-2-img0", "train-586-0-img0" ], "reference_rank": 4, "target_rank": 5 }
92
train-3604-3-img0
train-383-2-img0
{"train-383-2-img0":1.0}
Reduce to single large saxaphone, Place on dark background
{ "id": 77, "members": [ "train-12662-1-img1", "train-3956-1-img0", "train-6750-1-img1", "train-3604-3-img0", "train-383-2-img0", "train-586-0-img0" ], "reference_rank": 5, "target_rank": 0 }
93
train-4563-1-img0
train-4162-1-img1
{"train-4162-1-img1":1.0}
Bathroom is clean and well lit.
{ "id": 12, "members": [ "train-6922-1-img0", "train-2795-0-img0", "train-4162-1-img1", "train-4563-1-img0", "train-4563-1-img1", "train-9288-1-img1" ], "reference_rank": 0, "target_rank": 2 }
94
train-4563-1-img0
train-2795-0-img0
{"train-2795-0-img0":1.0}
Big bathtub is in the bathroom.
{ "id": 12, "members": [ "train-6922-1-img0", "train-2795-0-img0", "train-4162-1-img1", "train-4563-1-img0", "train-4563-1-img1", "train-9288-1-img1" ], "reference_rank": 0, "target_rank": 3 }
95
train-4563-1-img0
train-9288-1-img1
{"train-9288-1-img1":1.0}
Long white sink in the bathroom.
{ "id": 12, "members": [ "train-6922-1-img0", "train-2795-0-img0", "train-4162-1-img1", "train-4563-1-img0", "train-4563-1-img1", "train-9288-1-img1" ], "reference_rank": 0, "target_rank": 4 }
96
train-383-2-img0
train-6750-1-img1
{"train-6750-1-img1":1.0}
The image is less dark.
{ "id": 77, "members": [ "train-12662-1-img1", "train-3956-1-img0", "train-6750-1-img1", "train-3604-3-img0", "train-383-2-img0", "train-586-0-img0" ], "reference_rank": 0, "target_rank": 2 }
97
train-383-2-img0
train-3956-1-img0
{"train-3956-1-img0":1.0}
Add more four instruments.
{ "id": 77, "members": [ "train-12662-1-img1", "train-3956-1-img0", "train-6750-1-img1", "train-3604-3-img0", "train-383-2-img0", "train-586-0-img0" ], "reference_rank": 0, "target_rank": 3 }
98
train-383-2-img0
train-12662-1-img1
{"train-12662-1-img1":1.0}
It is yellow instead of gold.
{ "id": 77, "members": [ "train-12662-1-img1", "train-3956-1-img0", "train-6750-1-img1", "train-3604-3-img0", "train-383-2-img0", "train-586-0-img0" ], "reference_rank": 0, "target_rank": 4 }
99
train-4625-0-img1
train-5703-0-img1
{"train-5703-0-img1":1.0,"train-11999-0-img0":-1.0}
Instead of four white chairs at the table - two white benches
{ "id": 145, "members": [ "train-11041-1-img1", "train-10568-0-img1", "train-4625-0-img1", "train-2039-1-img0", "train-10570-3-img0", "train-5703-0-img1" ], "reference_rank": 1, "target_rank": 2 }
End of preview.

SPN4CIR: Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives (ACM MM 2024)

license arxiv badge Pytorch GitHub Repo stars HF Model

PWC

PWC

PWC

PWC

Citation 

@article{feng2024improving,
  title={Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives},
  author={Feng, Zhangchi and Zhang, Richong and Nie, Zhijie},
  journal={arXiv preprint arXiv:2404.11317},
  year={2024}
}

Acknowledgement

About code, our project is based on CLIP4Cir. Some of our code are learned from TG-CIR, SPRC, Candidate-Reranking-CIR.

About data, we train and evaluate on two CIR dataset FashionIQ and CIRR. We use LLaVA to do caption generation and Unicom to do image pair match.

Thanks for their great jobs! If you need to use a particular part of our code, please cite the relevant papers.
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