Dataset Viewer
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    ArrowInvalid
Message:      JSON parse error: Invalid value. in row 0
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
                  df = pandas_read_json(f)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                         ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
                  obj = self._get_object_parser(self.data)
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
                  self._parse()
                  ~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1392, in _parse
                  ujson_loads(json, precise_float=self.precise_float), dtype=None
                  ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 327, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

MAAP3D patched dependency wheels

This is a versioned artifact repository, not a dataset or a Python package index. It publishes pinned downstream wheels used to beta-test specific MAAP3D deployment profiles. These artifacts are not official releases of the upstream projects.

The wheels contain third-party code and retain their applicable upstream licenses. They are not relicensed under MAAP3D's AGPL license. See LICENSE, the individual files under licenses/, and THIRD_PARTY_WHEEL_NOTICES.zip before redistributing or using an artifact.

Published artifacts

Distribution Downstream version Intended MAAP3D profile License
mmdet 3.3.0+maap3d.cfd5d3a9.1 CUDA 12.1 and CUDA 12.8 full/dev Apache-2.0
sam3 0.1.0+maap3d.847e1a3b.1 CUDA 12.8 full/dev with PyTorch >=2.7; not CUDA 12.1 Custom SAM License dated November 19, 2025
chumpy 0.71+maap3d.580566ea.1 MAAP3D OpenMMLab stacks, including Python 3.12 GB10 MIT
mmpose 1.3.2+maap3d.gb10.5408bc76.1 GB10 mmcv-lite only Apache-2.0 generally; EDPose files are identified as IDEA License 1.0

These are pure-Python wheels, but that does not make every artifact compatible with every Python, PyTorch, CUDA, MMCV, or platform combination. Use each wheel only in its stated profile. Do not install all four wheels together as a generic environment.

What was changed

  • MMDetection: widens the package's runtime MMCV version guard so the validated MAAP3D stack can use MMCV 2.2.0, adds an inline downstream modification notice, and uses a downstream version. The optional mim dependency metadata retains upstream's mmcv<2.2.0 declaration; this wheel is therefore not intended to be installed through the [mim] extra.
  • SAM3: relaxes the ftfy dependency for the BoxMOT-compatible stack, declares the upstream runtime's PyTorch >=2.7 requirement, removes an incorrect MIT classifier, adds a modification notice, and uses a downstream version. The SAM License is a custom license with use and redistribution conditions; read licenses/sam3/LICENSE in full.
  • Chumpy: packages the pinned upstream Python 3.12-compatible revision instead of patching Chumpy 0.70 in site-packages, and uses a downstream version.
  • MMPose: omits eager EDPose and RTMO registry imports needed by unsupported GB10 paths and uses a downstream version. EDPose source and configuration files remain in the wheel; the special-file licensing recorded in licenses/mmpose_gb10/LICENSES.md still applies. Consult that notice together with the original ED-Pose license file; this repository does not resolve or simplify those upstream terms.

Exact upstream repositories, commits, checksums, and modification summaries are recorded in PROVENANCE.json.

Installation and profile restrictions

The preferred installation path is the matching MAAP3D profile installer, which is responsible for selecting compatible PyTorch, CUDA, MMCV, and other dependencies. These wheels are not complete environment bundles.

  • The GB10 MMPose wheel must be installed with --no-deps after the profile-specific xtcocotools build.
  • The SAM3 wheel requires PyTorch >=2.7 and must not be used in the legacy CUDA 12.1 / PyTorch 2.2.2 profile.
  • The MMPose wheel is limited to the GB10 mmcv-lite profile. Its disabled eager registrations mean the EDPose and MMDetection-dependent RTMO paths are not supported in that profile.
  • The MMDetection wheel changes the runtime compatibility guard only; do not request its optional [mim] extra.

For a manual download, select one artifact and pin a published tag or, for maximum immutability, the full repository commit SHA:

hf download MAAP3D/dependency-wheels \
  FILENAME.whl \
  --repo-type dataset \
  --revision TAG_OR_FULL_COMMIT_SHA \
  --local-dir ./maap3d-wheels

Install the downloaded wheel only after preparing the matching profile. For example, the GB10 MMPose artifact deliberately requires --no-deps:

python -m pip install --no-deps ./maap3d-wheels/mmpose-1.3.2+maap3d.gb10.5408bc76.1-py3-none-any.whl

Integrity and provenance

After downloading the complete artifact set, verify it with:

sha256sum -c SHA256SUMS

SHA256SUMS covers the four wheels and THIRD_PARTY_WHEEL_NOTICES.zip. It does not cover repository documentation, the standalone license copies, or PROVENANCE.json.

The notices archive contains a snapshot of the release notice, provenance, and upstream license copies. Each wheel also carries its applicable package license metadata. Model checkpoints, PyTorch/CUDA runtimes, MMCV, xtcocotools, and other transitive dependencies are not included. Model checkpoints can have terms separate from their source code and must be obtained from an authorized source.

Release maintenance

Published artifacts must be treated as immutable:

  1. Never replace a wheel while retaining its filename or downstream version.
  2. Rebuild changed artifacts under a new downstream version.
  3. Regenerate SHA256SUMS, PROVENANCE.json, and the notices archive.
  4. Commit the complete set and create a new repository tag.
  5. Pin automated installers to a full commit SHA when strict reproducibility is required; tags are convenient release labels but can technically be moved.

This repository currently contains beta-test artifacts for the MAAP3D 0.5 development line.

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