FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance
Paper • 2609.25716 • Published • 22
Datasets:
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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, 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.
img0.png image | img1.png image | img2.png image | json dict | __key__ string | __url__ string |
|---|---|---|---|---|---|
{
"path": "train/FLUX_0234532",
"triplet": [
"28.png",
"36.png",
"base.png"
]
} | 0000_00000000 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0215792",
"triplet": [
"43.png",
"45.png",
"base.png"
]
} | 0000_00000001 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0058471",
"triplet": [
"24.png",
"38.png",
"base.png"
]
} | 0000_00000002 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0082000",
"triplet": [
"24.png",
"37.png",
"base.png"
]
} | 0000_00000003 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0098245",
"triplet": [
"12.png",
"9.png",
"base.png"
]
} | 0000_00000004 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0184405",
"triplet": [
"2.png",
"36.png",
"base.png"
]
} | 0000_00000005 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0013590",
"triplet": [
"20.png",
"24.png",
"base.png"
]
} | 0000_00000006 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0069808",
"triplet": [
"16.png",
"50.png",
"base.png"
]
} | 0000_00000007 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0029911",
"triplet": [
"15.png",
"4.png",
"base.png"
]
} | 0000_00000008 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0026959",
"triplet": [
"21.png",
"30.png",
"base.png"
]
} | 0000_00000009 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0202944",
"triplet": [
"13.png",
"15.png",
"base.png"
]
} | 0000_00000010 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0149449",
"triplet": [
"1.png",
"46.png",
"base.png"
]
} | 0000_00000011 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0078332",
"triplet": [
"40.png",
"5.png",
"base.png"
]
} | 0000_00000012 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0175485",
"triplet": [
"28.png",
"48.png",
"base.png"
]
} | 0000_00000013 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0105385",
"triplet": [
"3.png",
"41.png",
"base.png"
]
} | 0000_00000014 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0205814",
"triplet": [
"35.png",
"39.png",
"base.png"
]
} | 0000_00000015 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0115523",
"triplet": [
"25.png",
"42.png",
"base.png"
]
} | 0000_00000016 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0102968",
"triplet": [
"14.png",
"20.png",
"base.png"
]
} | 0000_00000017 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0119990",
"triplet": [
"41.png",
"42.png",
"base.png"
]
} | 0000_00000018 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0116298",
"triplet": [
"3.png",
"7.png",
"base.png"
]
} | 0000_00000019 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0204611",
"triplet": [
"12.png",
"9.png",
"base.png"
]
} | 0000_00000020 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0169320",
"triplet": [
"33.png",
"40.png",
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]
} | 0000_00000021 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0077542",
"triplet": [
"26.png",
"50.png",
"base.png"
]
} | 0000_00000022 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0113825",
"triplet": [
"23.png",
"31.png",
"base.png"
]
} | 0000_00000023 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0029179",
"triplet": [
"17.png",
"33.png",
"base.png"
]
} | 0000_00000024 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0158361",
"triplet": [
"15.png",
"5.png",
"base.png"
]
} | 0000_00000025 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0216465",
"triplet": [
"31.png",
"34.png",
"base.png"
]
} | 0000_00000026 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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"triplet": [
"27.png",
"5.png",
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]
} | 0000_00000027 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0088040",
"triplet": [
"11.png",
"33.png",
"base.png"
]
} | 0000_00000028 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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"1.png",
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]
} | 0000_00000029 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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]
} | 0000_00000030 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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]
} | 0000_00000031 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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"triplet": [
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]
} | 0000_00000032 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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]
} | 0000_00000033 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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"triplet": [
"23.png",
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]
} | 0000_00000034 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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"42.png",
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]
} | 0000_00000035 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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]
} | 0000_00000036 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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"triplet": [
"20.png",
"7.png",
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]
} | 0000_00000037 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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"triplet": [
"15.png",
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"base.png"
]
} | 0000_00000038 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0029954",
"triplet": [
"14.png",
"2.png",
"base.png"
]
} | 0000_00000039 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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"triplet": [
"10.png",
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"base.png"
]
} | 0000_00000040 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0208530",
"triplet": [
"18.png",
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"base.png"
]
} | 0000_00000041 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0059001",
"triplet": [
"46.png",
"5.png",
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]
} | 0000_00000042 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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"triplet": [
"13.png",
"46.png",
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]
} | 0000_00000043 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0194378",
"triplet": [
"14.png",
"35.png",
"base.png"
]
} | 0000_00000044 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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"34.png",
"35.png",
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]
} | 0000_00000045 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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"triplet": [
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]
} | 0000_00000046 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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"triplet": [
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]
} | 0000_00000047 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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"triplet": [
"28.png",
"34.png",
"base.png"
]
} | 0000_00000048 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0181692",
"triplet": [
"26.png",
"7.png",
"base.png"
]
} | 0000_00000049 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0099082",
"triplet": [
"30.png",
"37.png",
"base.png"
]
} | 0000_00000050 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0142249",
"triplet": [
"14.png",
"34.png",
"base.png"
]
} | 0000_00000051 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0030018",
"triplet": [
"13.png",
"35.png",
"base.png"
]
} | 0000_00000052 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0102833",
"triplet": [
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"50.png",
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]
} | 0000_00000053 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0212537",
"triplet": [
"15.png",
"45.png",
"base.png"
]
} | 0000_00000054 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0167725",
"triplet": [
"18.png",
"9.png",
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]
} | 0000_00000055 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0073803",
"triplet": [
"12.png",
"43.png",
"base.png"
]
} | 0000_00000056 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0146498",
"triplet": [
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"48.png",
"base.png"
]
} | 0000_00000057 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0153311",
"triplet": [
"23.png",
"34.png",
"base.png"
]
} | 0000_00000058 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0170897",
"triplet": [
"14.png",
"9.png",
"base.png"
]
} | 0000_00000059 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0206046",
"triplet": [
"4.png",
"40.png",
"base.png"
]
} | 0000_00000060 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0197115",
"triplet": [
"29.png",
"32.png",
"base.png"
]
} | 0000_00000061 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0223667",
"triplet": [
"18.png",
"24.png",
"base.png"
]
} | 0000_00000062 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0044980",
"triplet": [
"12.png",
"5.png",
"base.png"
]
} | 0000_00000063 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
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"base.png"
]
} | 0000_00000064 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0070230",
"triplet": [
"1.png",
"36.png",
"base.png"
]
} | 0000_00000065 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0104764",
"triplet": [
"1.png",
"32.png",
"base.png"
]
} | 0000_00000066 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0087652",
"triplet": [
"13.png",
"44.png",
"base.png"
]
} | 0000_00000067 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0214875",
"triplet": [
"21.png",
"9.png",
"base.png"
]
} | 0000_00000068 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0157734",
"triplet": [
"2.png",
"9.png",
"base.png"
]
} | 0000_00000069 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0107028",
"triplet": [
"18.png",
"47.png",
"base.png"
]
} | 0000_00000070 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0208920",
"triplet": [
"24.png",
"26.png",
"base.png"
]
} | 0000_00000071 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0083604",
"triplet": [
"18.png",
"22.png",
"base.png"
]
} | 0000_00000072 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0197392",
"triplet": [
"45.png",
"5.png",
"base.png"
]
} | 0000_00000073 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0206866",
"triplet": [
"3.png",
"40.png",
"base.png"
]
} | 0000_00000074 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0018291",
"triplet": [
"26.png",
"44.png",
"base.png"
]
} | 0000_00000075 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0143705",
"triplet": [
"11.png",
"49.png",
"base.png"
]
} | 0000_00000076 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0117124",
"triplet": [
"16.png",
"3.png",
"base.png"
]
} | 0000_00000077 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0066699",
"triplet": [
"11.png",
"28.png",
"base.png"
]
} | 0000_00000078 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0059721",
"triplet": [
"10.png",
"4.png",
"base.png"
]
} | 0000_00000079 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0080107",
"triplet": [
"15.png",
"27.png",
"base.png"
]
} | 0000_00000080 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0019460",
"triplet": [
"27.png",
"5.png",
"base.png"
]
} | 0000_00000081 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0020450",
"triplet": [
"42.png",
"49.png",
"base.png"
]
} | 0000_00000082 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0118294",
"triplet": [
"47.png",
"8.png",
"base.png"
]
} | 0000_00000083 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0165162",
"triplet": [
"13.png",
"42.png",
"base.png"
]
} | 0000_00000084 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0077569",
"triplet": [
"16.png",
"6.png",
"base.png"
]
} | 0000_00000085 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0218682",
"triplet": [
"15.png",
"40.png",
"base.png"
]
} | 0000_00000086 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0090695",
"triplet": [
"41.png",
"49.png",
"base.png"
]
} | 0000_00000087 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0178374",
"triplet": [
"14.png",
"46.png",
"base.png"
]
} | 0000_00000088 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0120789",
"triplet": [
"18.png",
"36.png",
"base.png"
]
} | 0000_00000089 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0070049",
"triplet": [
"27.png",
"31.png",
"base.png"
]
} | 0000_00000090 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0070061",
"triplet": [
"10.png",
"5.png",
"base.png"
]
} | 0000_00000091 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0183632",
"triplet": [
"21.png",
"9.png",
"base.png"
]
} | 0000_00000092 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0231763",
"triplet": [
"35.png",
"39.png",
"base.png"
]
} | 0000_00000093 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0217967",
"triplet": [
"11.png",
"24.png",
"base.png"
]
} | 0000_00000094 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0147651",
"triplet": [
"32.png",
"46.png",
"base.png"
]
} | 0000_00000095 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0122077",
"triplet": [
"1.png",
"33.png",
"base.png"
]
} | 0000_00000096 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0009188",
"triplet": [
"3.png",
"33.png",
"base.png"
]
} | 0000_00000097 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0117279",
"triplet": [
"38.png",
"8.png",
"base.png"
]
} | 0000_00000098 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar | |||
{
"path": "train/FLUX_0235321",
"triplet": [
"35.png",
"6.png",
"base.png"
]
} | 0000_00000099 | hf://datasets/JHLew/fomo_480k@274dfb0c819281c2968bf70692d04271e276f46b/shard-000000.tar |
End of preview.
FoMo-480k
Training data for FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance — 480,000 image sets generated with FLUX.1-dev, no human labels.
Each sample is a base image and two variants produced from it by img2img at random denoising timesteps s ∈ [1, 50] (50 steps, guidance 3.5). Here s is the img2img strength in steps: the variant re-enters the trajectory s steps before the end, so a larger s forks earlier and lands farther from the base. Note: the s in this dataset (and in the variant filenames) corresponds to S − s in the paper, with S = 50. Half of the bases are generated from a blank canvas (FLUX_*), half are random crops of ImageNet-1k training images (IN1K_*). All images are 512×512 PNG.
Code, pretrained models and the training recipe: https://github.com/JHLew/FoMo · models: JHLew/FoMo
Files
| File | Content |
|---|---|
shard-000000.tar … shard-000239.tar |
240 webdataset-style shards, 2,000 samples each (~2.5 GB per shard, ~550 GB total) |
index.json |
sample list, [{"base": "train/FLUX_0234532/base.png", "variants": ["train/FLUX_0234532/28.png", "train/FLUX_0234532/36.png"]}, …] |
meta.json |
sample counts per shard |
unpack.py |
rebuilds the folder tree + index.json from the shards (Python 3.8+, no dependencies) |
Inside a shard, a sample is four members sharing a key: <key>.img0.png, <key>.img1.png, <key>.img2.png and <key>.json ({"path": "train/FLUX_0234532", "triplet": ["28.png", "36.png", "base.png"]}; img<k> is triplet[k]). Variant filenames are their timestep.
Usage
hf download JHLew/fomo_480k --repo-type dataset --local-dir fomo_shards
python fomo_shards/unpack.py --shards fomo_shards --out data/fomo --remove-shards
This yields data/fomo/train/<TAG>_<idx>/{base.png, <t1>.png, <t2>.png} and data/fomo/index.json, the layout consumed by train.py in the code repository (scripts/download_fomo_480k.sh there runs exactly these two steps). Peak disk usage is about 1.1 TB while unpacking, ~550 GB afterwards; drop --remove-shards to keep the tars.
The dataset can also be regenerated with generate_fomo_dataset.py from the code repository (FLUX.1-dev is gated on the Hub; the ImageNet half needs a local ImageNet-1k copy).
License
Apache 2.0. The images were generated with FLUX.1-dev, whose license applies to its outputs; the IN1K_* bases derive from ImageNet-1k, which has its own terms of access.
Citation
The paper is under review; citation information will be added here.
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