X2I Dataset
Collection
Datasets used in OmniGen.
•
5 items
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Updated
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19
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0xe7 in position 10910: invalid continuation byte
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1607, in _prepare_split_single
for key, record in generator:
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 686, in wrapped
for item in generator(*args, **kwargs):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 119, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 52, in _get_pipeline_from_tar
current_example[field_name] = cls.DECODERS[data_extension](current_example[field_name])
File "/usr/local/lib/python3.9/json/__init__.py", line 341, in loads
s = s.decode(detect_encoding(s), 'surrogatepass')
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe7 in position 10910: invalid continuation byte
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 1412, 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 988, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1486, 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 1643, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
__key__
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cultural/aquarium/ADE_train_00001491_parts_2
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_022_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_006_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_023_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_017_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_021_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_025_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_000_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_016_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_024_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_018_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_009_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_019_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_004_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_027_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_020_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_029_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_026_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_008_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_001_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_030_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_005_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_003_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_010_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_002_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_007_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_012_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_028_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_011_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_013_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_014_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001491/instance_015_ADE_train_00001491
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001492
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00022633/instance_003_ADE_train_00022633
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00022633/instance_002_ADE_train_00022633
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00022633/instance_001_ADE_train_00022633
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00022633/instance_000_ADE_train_00022633
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001489
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001489_seg
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00022634_seg
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001488
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_004_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_005_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_010_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_011_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_019_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_015_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_017_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_020_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_003_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_013_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_014_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_016_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_000_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_001_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_006_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_012_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_008_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_009_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_018_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_007_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001494/instance_002_ADE_train_00001494
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00020233_seg
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001490/instance_007_ADE_train_00001490
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001490/instance_006_ADE_train_00001490
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001490/instance_000_ADE_train_00001490
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001490/instance_011_ADE_train_00001490
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001490/instance_009_ADE_train_00001490
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001490/instance_003_ADE_train_00001490
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001490/instance_010_ADE_train_00001490
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001490/instance_004_ADE_train_00001490
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001490/instance_001_ADE_train_00001490
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001490/instance_008_ADE_train_00001490
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001490/instance_002_ADE_train_00001490
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001490/instance_005_ADE_train_00001490
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_002_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_019_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_024_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_008_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_007_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_012_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_000_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_020_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_011_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_016_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_021_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_022_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_004_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_001_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_017_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_009_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_013_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_005_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_006_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_003_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_010_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_015_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_023_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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cultural/aquarium/ADE_train_00001495/instance_014_ADE_train_00001495
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hf://datasets/yzwang/X2I-in-context-learning@8c9ff019f90aacf1312cc7f951f4495255dcf435/ade/ade.tar.gz
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End of preview.
X2I Dataset
- Project Page: https://vectorspacelab.github.io/OmniGen/
- Github: https://github.com/VectorSpaceLab/OmniGen
- Paper: https://arxiv.org/abs/2409.11340
- Model: https://huggingface.co/Shitao/OmniGen-v1
To achieve robust multi-task processing capabilities, it is essential to train the OmniGen on large-scale and diverse datasets. However, in the field of unified image generation, a readily available dataset has yet to emerge. For this reason, we have curated a large-scale unified image generation dataset with unified format for the first time, which we refer to as the X2I dataset, meaning "anything to image".
| Task | Datastet |
|---|---|
| Multi-modal Instruction | X2I-mm-instruction |
| Subject-driven Editing | X2I-subject-driven |
| In-context Learning | X2I-in-context-learning |
| Computer Vision | X2I-computer-vision |
| Text to Image Generation | X2I-text-to-image |
X2I-in-context-learning (Few-shot to Image)
- Derain & Enhance & GoPro
A set of image derain, enhance and deblur datasets with 859 & 485 & 2,103 samples.
## meta file: derain.jsonl
cd derain
tar -xzvf derain.tar.gz
## meta file: enhance.jsonl
cd enhance
tar -xzvf enhance.tar.gz
## meta file: gopro.jsonl
cd gopro
tar -xzvf gopro.tar.gz
- ADE
An image segementation dataset with 297,472 samples.
## meta file: ade.jsonl
cd ade
tar -xzvf ade.tar.gz
cat seg_imgs.tar.gz.* | tar -xzvf -
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