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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 dataset

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picture_1.png
image
picture_2.png
image
picture_3.png
image
video_1.mp4
video
target.mp4
video
target_audio.wav
audio
origin.mp4
video
json
dict
__key__
string
__url__
string
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{ "id": "cowgirl_878efab1_001", "split_group": "cowgirl", "path_base": "directory containing dataset.jsonl", "prompt": "subject_definitions:\n<Subject 1> is the young woman in <Picture 1>, with a dark blunt bob and bangs, a black western shirt with white fringe and orange embroidery, a turquoise bolo tie and a ...
cowgirl_1_878efab1_b03a7969_001-haiku
hf://datasets/wangxiaokang123/ref2va-samples-wds@4227bd1b493882262b4772809cd068a754d7a0ce/train-0000.tar
Not supported with pagination yet
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{ "id": "cowgirl_1_878efab1_b03a7969_001", "split_group": "sha256:878efab1639bc4d5", "path_base": "directory containing dataset.jsonl", "prompt": "subject_definitions:\n<Subject 1> is the girl in <Picture 1>, with her face, dark shoulder-length bob with straight bangs, and black fringed western shirt with white...
cowgirl_1_878efab1_b03a7969_001-static
hf://datasets/wangxiaokang123/ref2va-samples-wds@4227bd1b493882262b4772809cd068a754d7a0ce/train-0000.tar
Not supported with pagination yet
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{ "id": "roar_goes_on_507567cf_001", "split_group": "roar-goes-on", "path_base": "directory containing dataset.jsonl", "prompt": "subject_definitions:\n<Subject 1> is the bearded man in <Picture 1>, with short dark hair, a full beard, a heavy brow and a beige high-neck top with a neck brace. Keep his face, hair...
roar_goes_on_1_507567cf_0c9dc8b0_001-haiku
hf://datasets/wangxiaokang123/ref2va-samples-wds@4227bd1b493882262b4772809cd068a754d7a0ce/train-0000.tar
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{ "id": "roar_goes_on_1_507567cf_0c9dc8b0_001", "split_group": "sha256:507567cf74b55939", "path_base": "directory containing dataset.jsonl", "prompt": "subject_definitions:\n<Subject 1> is the hospital room in <Video 1>, with beige wood wall panels, a grey bed and pillow, a medical monitor machine with a consol...
roar_goes_on_1_507567cf_0c9dc8b0_001-static
hf://datasets/wangxiaokang123/ref2va-samples-wds@4227bd1b493882262b4772809cd068a754d7a0ce/train-0000.tar
Not supported with pagination yet
{ "id": "twin_snakes_28c1a0b3_001", "split_group": "twin-snakes", "path_base": "directory containing dataset.jsonl", "prompt": "subject_definitions:\n<Subject 1> is the man in <Picture 1>, with short dark hair, a trimmed goatee, and an orange short-sleeved button-up shirt over a white undershirt. He appears on ...
twin_snakes_1_28c1a0b3_006fedf2_001-haiku
hf://datasets/wangxiaokang123/ref2va-samples-wds@4227bd1b493882262b4772809cd068a754d7a0ce/train-0000.tar
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{ "id": "twin_snakes_1_28c1a0b3_006fedf2_001", "split_group": "sha256:28c1a0b3b6b59b22", "path_base": "directory containing dataset.jsonl", "prompt": "subject_definitions:\n<Subject 1> is the heavyset man in <Video 1>, with short black hair and a goatee, wearing an orange short-sleeve button shirt over a white ...
twin_snakes_1_28c1a0b3_006fedf2_001-static
hf://datasets/wangxiaokang123/ref2va-samples-wds@4227bd1b493882262b4772809cd068a754d7a0ce/train-0000.tar

ref2va samples (WebDataset)

6 samples packed as WebDataset (train-0000.tar). Files of one sample share the key prefix and differ by suffix, so each suffix becomes a column:

column content
picture_{1,2,3}.png reference images (<Picture N>), None if unused
video_1.mp4 reference video (<Video 1>), None if unused
target.mp4 / target_audio.wav target video and its audio
origin.mp4 full source clip (static variant only)
json original dataset.jsonl record + variant, source_dir
key variant inputs
cowgirl_1_878efab1_b03a7969_001-haiku haiku picture_1.png, video_1.mp4
cowgirl_1_878efab1_b03a7969_001-static static picture_1.png, picture_2.png
roar_goes_on_1_507567cf_0c9dc8b0_001-haiku haiku picture_1.png, picture_2.png
roar_goes_on_1_507567cf_0c9dc8b0_001-static static video_1.mp4
twin_snakes_1_28c1a0b3_006fedf2_001-haiku haiku picture_1.png, picture_2.png, picture_3.png, video_1.mp4
twin_snakes_1_28c1a0b3_006fedf2_001-static static video_1.mp4
from datasets import load_dataset
ds = load_dataset("<repo_id>", split="train")
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