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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:    CastError
Message:      Couldn't cast
version: int64
operationId: string
repoId: string
counts: struct<cameras: int64, images: int64, points: int64>
  child 0, cameras: int64
  child 1, images: int64
  child 2, points: int64
dataCommit: string
viewerVersion: string
files: list<item: struct<path: string, size: int64>>
  child 0, item: struct<path: string, size: int64>
      child 0, path: string
      child 1, size: int64
to
{'version': Value('int64'), 'operationId': Value('string'), 'viewerVersion': Value('string'), 'dataCommit': Value('string'), 'counts': {'cameras': Value('int64'), 'images': Value('int64'), 'points': Value('int64')}, 'files': List({'path': Value('string'), 'size': Value('int64')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              version: int64
              operationId: string
              repoId: string
              counts: struct<cameras: int64, images: int64, points: int64>
                child 0, cameras: int64
                child 1, images: int64
                child 2, points: int64
              dataCommit: string
              viewerVersion: string
              files: list<item: struct<path: string, size: int64>>
                child 0, item: struct<path: string, size: int64>
                    child 0, path: string
                    child 1, size: int64
              to
              {'version': Value('int64'), 'operationId': Value('string'), 'viewerVersion': Value('string'), 'dataCommit': Value('string'), 'counts': {'cameras': Value('int64'), 'images': Value('int64'), 'points': Value('int64')}, 'files': List({'path': Value('string'), 'size': Value('int64')})}
              because column names don't match

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ColmapView large PLY end-to-end test

Generated synthetic scene for ColmapView publication testing: 3 million Gaussian splats (168000363 bytes), two generated images, one mask, and a COLMAP reconstruction. Generated test data is dedicated to CC0. This tests the development build; viewer links currently target localhost.

Dataset preview

Open in ColmapView

Direct viewer URL: http://localhost:5173/?url=https%3A%2F%2Fhuggingface.co%2Fdatasets%2Fopsiclear-admin%2Fcolmapview-e2e-large-ply-20260928%2Fresolve%2Fbb9ee9e1ef4b0496f695ec6ab21feea49dadfb20%2F

Published by opsiclear-admin with ColmapView 0.14.5.

Contents

1 cameras, 2 registered images, 256 points.

COLMAP binary files are in sparse/0/. Selected original images are in images/. 1 masks and 1 original splat files were included.

The reviewed scene transform is baked into the COLMAP model. Original splat bytes retain their original coordinates; their alignment and the saved camera view are recorded in colmapview.yaml at the dataset root. ColmapView restores these settings when opening the dataset from a URL, local folder, or supported archive. colmapview-state.json retains the same state for manifest-based links.

Dataset files are pinned to revision bb9ee9e1ef4b0496f695ec6ab21feea49dadfb20. See colmapview-inventory.json for filenames and sizes.

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