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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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jsonl
unknown
__key__
string
__url__
string
"eyJpZCI6IjAwMDAwMDAwIiwibmFtZSI6IjUzOWQwMmM3OTVlMmRjNDJhODA2IiwiaHVtYW5fY291bnQiOjEsImZwcyI6MzAuMCw(...TRUNCATED)
metadata
"hf://datasets/shadowlynx92/motion_example_0801_tar@d17a1cdcd6e3fefeac681429361f65a4ced98613/motion_(...TRUNCATED)
"eyJpZCI6IjAwMDAwMDAwIiwibmFtZSI6IjUzOWQwMmM3OTVlMmRjNDJhODA2IiwiaHVtYW5fY291bnQiOjEsImZwcyI6MzAuMCw(...TRUNCATED)
metadata_caption
"hf://datasets/shadowlynx92/motion_example_0801_tar@d17a1cdcd6e3fefeac681429361f65a4ced98613/motion_(...TRUNCATED)
"eyJpZCI6IjAwMDAwMDAwIiwibmFtZSI6IjUzOWQwMmM3OTVlMmRjNDJhODA2IiwiaHVtYW5fY291bnQiOjEsImZwcyI6MzAuMCw(...TRUNCATED)
metadata_classification
"hf://datasets/shadowlynx92/motion_example_0801_tar@d17a1cdcd6e3fefeac681429361f65a4ced98613/motion_(...TRUNCATED)
"eyJpZCI6IjAwMDAwMDAwIiwibmFtZSI6IjUzOWQwMmM3OTVlMmRjNDJhODA2IiwiaHVtYW5fY291bnQiOjEsImZwcyI6MzAuMCw(...TRUNCATED)
metadata_objects
"hf://datasets/shadowlynx92/motion_example_0801_tar@d17a1cdcd6e3fefeac681429361f65a4ced98613/motion_(...TRUNCATED)
"eyJpZCI6IjAwMDAwMDAwIiwibmFtZSI6IjUzOWQwMmM3OTVlMmRjNDJhODA2IiwiaHVtYW5fY291bnQiOjEsImZwcyI6MzAuMCw(...TRUNCATED)
metadata_render
"hf://datasets/shadowlynx92/motion_example_0801_tar@d17a1cdcd6e3fefeac681429361f65a4ced98613/motion_(...TRUNCATED)
null
human_motion/00000/0004edafc84c410daf42
"hf://datasets/shadowlynx92/motion_example_0801_tar@d17a1cdcd6e3fefeac681429361f65a4ced98613/motion_(...TRUNCATED)
null
human_motion/00000/0088fe193561c7c304ea
"hf://datasets/shadowlynx92/motion_example_0801_tar@d17a1cdcd6e3fefeac681429361f65a4ced98613/motion_(...TRUNCATED)
null
human_motion/00000/00ad3f14c4eb2f2f5468
"hf://datasets/shadowlynx92/motion_example_0801_tar@d17a1cdcd6e3fefeac681429361f65a4ced98613/motion_(...TRUNCATED)
null
human_motion/00000/00c35b172390057e48c9
"hf://datasets/shadowlynx92/motion_example_0801_tar@d17a1cdcd6e3fefeac681429361f65a4ced98613/motion_(...TRUNCATED)
null
human_motion/00000/00c807c59021c97bd2c8
"hf://datasets/shadowlynx92/motion_example_0801_tar@d17a1cdcd6e3fefeac681429361f65a4ced98613/motion_(...TRUNCATED)
End of preview.

motion_example_0801

This dataset contains 2,000,000 motion examples distributed as 1,954 uncompressed tar archives, totaling 1,277,023,825,920 bytes (approximately 1.28 TB).

Each example has three corresponding files:

Directory Format Contents
human_motion/ .pt SMPL motion data
motion_caption/ .json Motion descriptions
rendered_videos/ .mp4 Stickman renderings of the motion

Archives are named motion_example_0801_00000.tar through motion_example_0801_01953.tar. The first 1,953 archives contain 1,024 examples each; the last contains 128. archive_index.tsv lists the example count for each archive.

The first archive also contains these five metadata files at its beginning:

  • metadata.jsonl
  • metadata_caption.jsonl
  • metadata_classification.jsonl
  • metadata_objects.jsonl
  • metadata_render.jsonl

In metadata_caption.jsonl, each video_caption combines descriptions of its two source motion segments. One of eight transition templates is randomly selected, with gender-neutral person references. These captions retain descriptions of the source videos, including their appearance and setting, and are not literal descriptions of the stickman renderings. The video_path field is empty; rendering information is provided in metadata_render.jsonl.

Verify and extract

Download all archive shards together with SHA256SUMS and archive_index.tsv. Verify the archives before extraction:

sha256sum -c SHA256SUMS

Extract every archive into the same directory. Archive member paths are relative to the dataset root and do not include an additional enclosing directory:

mkdir -p motion_example_0801
for archive in motion_example_0801_*.tar; do
    tar -xf "$archive" -C motion_example_0801
done

The extracted directory contains the five metadata files and the three data directories listed above. The tar files are uncompressed, so retaining both the archives and extracted dataset requires space for both copies.

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