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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 dataset

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mp4
video
__key__
string
__url__
string
cogvideox-2b/object_class/a cup-1
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a hot dog-2
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a person-2
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a pizza-5
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a potted plant-6
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a dog-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a suitcase-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a sports ball-1
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a banana-3
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a laptop-3
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a person-7
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a remote-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a bear-3
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a carrot-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a spoon-0
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/scissors-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a bed-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a clock-3
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a dining table-6
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a baseball bat-1
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a bear-6
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/an apple-6
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/an umbrella-1
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a bicycle-5
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a stop sign-1
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a hot dog-7
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a traffic light-3
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a baseball glove-1
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a hair drier-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a cat-7
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a sports ball-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a couch-6
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a cup-0
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a tie-3
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a pizza-0
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a tv-0
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/skis-5
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a frisbee-2
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a skateboard-6
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a bowl-7
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a bottle-6
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/broccoli-0
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a bicycle-6
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/an airplane-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a dog-5
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/an elephant-5
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a parking meter-5
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a baseball glove-5
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a boat-3
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a knife-0
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a toilet-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/an apple-5
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a suitcase-1
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a cell phone-7
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a giraffe-7
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a dog-6
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a bird-6
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a potted plant-3
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a book-5
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a stop sign-3
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a toaster-0
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a banana-0
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a sink-5
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/an umbrella-0
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/an apple-0
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a cake-0
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a bowl-3
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a truck-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a couch-1
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/an umbrella-3
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/an orange-3
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a chair-3
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a bench-5
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a bus-6
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a teddy bear-2
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a boat-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a carrot-6
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a pizza-3
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/an oven-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a train-7
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a traffic light-0
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a surfboard-1
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a bicycle-1
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a horse-0
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a baseball bat-2
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a person-0
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a tv-2
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a chair-5
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a laptop-0
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a cow-1
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a car-5
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a sheep-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/an umbrella-5
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a motorcycle-6
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a sandwich-1
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/scissors-2
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a tv-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a giraffe-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/a spoon-4
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
cogvideox-2b/object_class/an umbrella-2
hf://datasets/VisionXLab/FIRM-Video_BoN_videos@fa4fcabaac46a9f77549c298ae6ffdb183281696/cogvideox-2b.tar
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