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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 1539, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 131, 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 1419, 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 976, 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 794, 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 1379, 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 956, 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 1401, 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 1579, 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.
json dict | mp4 video | __key__ string | __url__ string |
|---|---|---|---|
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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"motion_vector_magnitude_mean... | 000000/200199812 | hf://datasets/yhlll321654/other@85c17445d13ff363d570868fe63aad252735fc6e/pe_video/pe_video-00000.tar | |
{
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"mot... | 000000/201206878 | hf://datasets/yhlll321654/other@85c17445d13ff363d570868fe63aad252735fc6e/pe_video/pe_video-00000.tar | |
{
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{
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"moti... | 000000/204841900 | hf://datasets/yhlll321654/other@85c17445d13ff363d570868fe63aad252735fc6e/pe_video/pe_video-00000.tar | |
{
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{
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{
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"motion... | 000000/21420941 | hf://datasets/yhlll321654/other@85c17445d13ff363d570868fe63aad252735fc6e/pe_video/pe_video-00000.tar | |
{
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{
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{
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{
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{
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"motion_vector_magnitude_mean": 13.1364... | 000000/222435640 | hf://datasets/yhlll321654/other@85c17445d13ff363d570868fe63aad252735fc6e/pe_video/pe_video-00000.tar | |
{
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"motion... | 000000/222989960 | hf://datasets/yhlll321654/other@85c17445d13ff363d570868fe63aad252735fc6e/pe_video/pe_video-00000.tar | |
{
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"motion_vector_magnitude_mean... | 000000/227938578 | hf://datasets/yhlll321654/other@85c17445d13ff363d570868fe63aad252735fc6e/pe_video/pe_video-00000.tar | |
{
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"motion_vector_magnitude_mean": 9.1951633945... | 000000/229093562 | hf://datasets/yhlll321654/other@85c17445d13ff363d570868fe63aad252735fc6e/pe_video/pe_video-00000.tar | |
{
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"moti... | 000000/231853508 | hf://datasets/yhlll321654/other@85c17445d13ff363d570868fe63aad252735fc6e/pe_video/pe_video-00000.tar | |
{
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"motion_vector_magnitude_mean": 38.50784... | 000000/233615920 | hf://datasets/yhlll321654/other@85c17445d13ff363d570868fe63aad252735fc6e/pe_video/pe_video-00000.tar | |
{
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"motion_vector_magnitude_mean": ... | 000000/23487571 | hf://datasets/yhlll321654/other@85c17445d13ff363d570868fe63aad252735fc6e/pe_video/pe_video-00000.tar | |
{
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"moti... | 000000/235974782 | hf://datasets/yhlll321654/other@85c17445d13ff363d570868fe63aad252735fc6e/pe_video/pe_video-00000.tar | |
{
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"motio... | 000000/236895770 | hf://datasets/yhlll321654/other@85c17445d13ff363d570868fe63aad252735fc6e/pe_video/pe_video-00000.tar | |
{
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"mo... | 000000/237090792 | hf://datasets/yhlll321654/other@85c17445d13ff363d570868fe63aad252735fc6e/pe_video/pe_video-00000.tar |
End of preview.
Video pretraining corpus (videos only)
Videos used for MetaCLIP-H/14 pseudo-labelling, redistributed under each source's
license (attribution and non-commercial terms apply where listed). Each directory
holds ~10 GB tar shards whose members keep their original relative paths;
manifest/<source>.tsv maps every file to its shard. Sources and licenses:
pe_video: PE Video, facebook/PE-Video (CC-BY-NC-4.0)videoufo: VideoUFO, WenhaoWang/VideoUFO (CC-BY-4.0)
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