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Datasets:
MingzhenL
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TMM_H266_ARCHIVE

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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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amt/clip_0005/frame_002
hf://datasets/MingzhenL/TMM_H266_ARCHIVE@536e7dd88f926d220686bd3b814b4f103bb501b1/w3_baselines_4b_vvc/vq14/amt.tar
amt/clip_0005/frame_003
hf://datasets/MingzhenL/TMM_H266_ARCHIVE@536e7dd88f926d220686bd3b814b4f103bb501b1/w3_baselines_4b_vvc/vq14/amt.tar
amt/clip_0005/frame_004
hf://datasets/MingzhenL/TMM_H266_ARCHIVE@536e7dd88f926d220686bd3b814b4f103bb501b1/w3_baselines_4b_vvc/vq14/amt.tar
amt/clip_0005/frame_005
hf://datasets/MingzhenL/TMM_H266_ARCHIVE@536e7dd88f926d220686bd3b814b4f103bb501b1/w3_baselines_4b_vvc/vq14/amt.tar
amt/clip_0005/frame_006
hf://datasets/MingzhenL/TMM_H266_ARCHIVE@536e7dd88f926d220686bd3b814b4f103bb501b1/w3_baselines_4b_vvc/vq14/amt.tar
amt/clip_0005/frame_007
hf://datasets/MingzhenL/TMM_H266_ARCHIVE@536e7dd88f926d220686bd3b814b4f103bb501b1/w3_baselines_4b_vvc/vq14/amt.tar
amt/clip_0005/frame_008
hf://datasets/MingzhenL/TMM_H266_ARCHIVE@536e7dd88f926d220686bd3b814b4f103bb501b1/w3_baselines_4b_vvc/vq14/amt.tar
amt/clip_0005/frame_009
hf://datasets/MingzhenL/TMM_H266_ARCHIVE@536e7dd88f926d220686bd3b814b4f103bb501b1/w3_baselines_4b_vvc/vq14/amt.tar
amt/clip_0005/frame_010
hf://datasets/MingzhenL/TMM_H266_ARCHIVE@536e7dd88f926d220686bd3b814b4f103bb501b1/w3_baselines_4b_vvc/vq14/amt.tar
amt/clip_0005/frame_011
hf://datasets/MingzhenL/TMM_H266_ARCHIVE@536e7dd88f926d220686bd3b814b4f103bb501b1/w3_baselines_4b_vvc/vq14/amt.tar
amt/clip_0005/frame_012
hf://datasets/MingzhenL/TMM_H266_ARCHIVE@536e7dd88f926d220686bd3b814b4f103bb501b1/w3_baselines_4b_vvc/vq14/amt.tar
amt/clip_0005/frame_013
hf://datasets/MingzhenL/TMM_H266_ARCHIVE@536e7dd88f926d220686bd3b814b4f103bb501b1/w3_baselines_4b_vvc/vq14/amt.tar
amt/clip_0005/frame_014
hf://datasets/MingzhenL/TMM_H266_ARCHIVE@536e7dd88f926d220686bd3b814b4f103bb501b1/w3_baselines_4b_vvc/vq14/amt.tar
amt/clip_0005/frame_015
hf://datasets/MingzhenL/TMM_H266_ARCHIVE@536e7dd88f926d220686bd3b814b4f103bb501b1/w3_baselines_4b_vvc/vq14/amt.tar
End of preview.

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Check out the documentation for more information.

TMM_H266_ARCHIVE — pixel archive for the H.266/VVC-anchor redo of protocol 4b

Content: AMT / AMT-enhanced baseline prediction trees (17 frames x 250 clips, native geometry, PNG) and DOVE stage-1 observed frames, one tar per (level, config). These are model outputs derived from the evaluation clips; the corresponding NUMBERS are delivered separately (tmm_h266_4b/results in the private dataset repo). Every tar was uploaded and then fully re-downloaded and md5-compared before the local copy was deleted (manifest: hf_archive_manifest.txt). Restore: tar -xf w3_baselines_4b_vvc//.tar -C $TMM_ROOT/w3_baselines/4b// tar -xf w3_stage1_archive_vvc/s1obs_4b_.tar -C $TMM_ROOT/w3_stage1/4b/ Why public: the private repo's storage quota refused large uploads (2026-09-06); public dataset storage accepted them.
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