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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schema: string
converted_from: string
camera_id: string
lens_id: string
cameras: list<item: struct<schema: string, name: string, size: struct<unit: string, width: int64, height: int (... 178 chars omitted)
  child 0, item: struct<schema: string, name: string, size: struct<unit: string, width: int64, height: int64>, pixel_ (... 166 chars omitted)
      child 0, schema: string
      child 1, name: string
      child 2, size: struct<unit: string, width: int64, height: int64>
          child 0, unit: string
          child 1, width: int64
          child 2, height: int64
      child 3, pixel_chart: string
      child 4, intrinsics: struct<unit: string, fx: double, fy: double, cx: double, cy: double, skew: int64>
          child 0, unit: string
          child 1, fx: double
          child 2, fy: double
          child 3, cx: double
          child 4, cy: double
          child 5, skew: int64
      child 5, lens: struct<model: string, params: list<item: double>>
          child 0, model: string
          child 1, params: list<item: double>
              child 0, item: double
hashes: struct<config: string, canonical: string>
  child 0, config: string
  child 1, canonical: string
preamble: struct<board_config: struct<canvas_size: struct<width: struct<value: int64, unit: string>, height: s (... 963 chars omitted)
  child 0, board_config: struct<canvas_size: struct<width: struct<value: int64, unit: string>, height: struct<value: int64, u (... 573 chars omitted)
      child 0, canvas_s
...
: struct<value: double, unit: string>
                  child 0, value: double
                  child 1, unit: string
      child 6, frame_style: string
  child 1, pattern_config: struct<pattern_resolution: struct<width: struct<value: int64, unit: string>, height: struct<value: i (... 250 chars omitted)
      child 0, pattern_resolution: struct<width: struct<value: int64, unit: string>, height: struct<value: int64, unit: string>>
          child 0, width: struct<value: int64, unit: string>
              child 0, value: int64
              child 1, unit: string
          child 1, height: struct<value: int64, unit: string>
              child 0, value: int64
              child 1, unit: string
      child 1, min_scale: struct<value: double, unit: string>
          child 0, value: double
          child 1, unit: string
      child 2, seed: string
      child 3, pixel_type: string
      child 4, max_diameter_fraction: double
      child 5, scales_per_octave: int64
      child 6, max_trials: int64
      child 7, alpha: double
      child 8, cutoff: double
      child 9, raster_aligned: bool
      child 10, polarity: string
blobs: struct<unit: string, centers: list<item: list<item: double>>, sigmas: list<item: double>>
  child 0, unit: string
  child 1, centers: list<item: list<item: double>>
      child 0, item: list<item: double>
          child 0, item: double
  child 2, sigmas: list<item: double>
      child 0, item: double
saddle_points: list<item: null>
  child 0, item: null
to
{'schema': Value('string'), 'preamble': {'board_config': {'canvas_size': {'width': {'value': Value('int64'), 'unit': Value('string')}, 'height': {'value': Value('int64'), 'unit': Value('string')}}, 'board_size': {'width': {'value': Value('int64'), 'unit': Value('string')}, 'height': {'value': Value('int64'), 'unit': Value('string')}}, 'print_density': {'value': Value('int64'), 'unit': Value('string')}, 'frame_width': {'value': Value('int64'), 'unit': Value('string')}, 'frame_padding': {'value': Value('int64'), 'unit': Value('string')}, 'ruler_spec': {'width': {'value': Value('int64'), 'unit': Value('string')}, 'major_tick': {'spacing': {'value': Value('int64'), 'unit': Value('string')}, 'width': {'value': Value('int64'), 'unit': Value('string')}}, 'minor_tick': {'spacing': {'value': Value('int64'), 'unit': Value('string')}, 'width': {'value': Value('float64'), 'unit': Value('string')}}}, 'frame_style': Value('string')}, 'pattern_config': {'pattern_resolution': {'width': {'value': Value('int64'), 'unit': Value('string')}, 'height': {'value': Value('int64'), 'unit': Value('string')}}, 'min_scale': {'value': Value('float64'), 'unit': Value('string')}, 'seed': Value('string'), 'pixel_type': Value('string'), 'max_diameter_fraction': Value('float64'), 'scales_per_octave': Value('int64'), 'max_trials': Value('int64'), 'alpha': Value('float64'), 'cutoff': Value('float64'), 'raster_aligned': Value('bool'), 'polarity': Value('string')}}, 'blobs': {'unit': Value('string'), 'centers': List(List(Value('float64'))), 'sigmas': List(Value('float64'))}, 'saddle_points': List(Value('null')), 'hashes': {'config': Value('string'), 'canonical': Value('string')}}
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
              schema: string
              converted_from: string
              camera_id: string
              lens_id: string
              cameras: list<item: struct<schema: string, name: string, size: struct<unit: string, width: int64, height: int (... 178 chars omitted)
                child 0, item: struct<schema: string, name: string, size: struct<unit: string, width: int64, height: int64>, pixel_ (... 166 chars omitted)
                    child 0, schema: string
                    child 1, name: string
                    child 2, size: struct<unit: string, width: int64, height: int64>
                        child 0, unit: string
                        child 1, width: int64
                        child 2, height: int64
                    child 3, pixel_chart: string
                    child 4, intrinsics: struct<unit: string, fx: double, fy: double, cx: double, cy: double, skew: int64>
                        child 0, unit: string
                        child 1, fx: double
                        child 2, fy: double
                        child 3, cx: double
                        child 4, cy: double
                        child 5, skew: int64
                    child 5, lens: struct<model: string, params: list<item: double>>
                        child 0, model: string
                        child 1, params: list<item: double>
                            child 0, item: double
              hashes: struct<config: string, canonical: string>
                child 0, config: string
                child 1, canonical: string
              preamble: struct<board_config: struct<canvas_size: struct<width: struct<value: int64, unit: string>, height: s (... 963 chars omitted)
                child 0, board_config: struct<canvas_size: struct<width: struct<value: int64, unit: string>, height: struct<value: int64, u (... 573 chars omitted)
                    child 0, canvas_s
              ...
              : struct<value: double, unit: string>
                                child 0, value: double
                                child 1, unit: string
                    child 6, frame_style: string
                child 1, pattern_config: struct<pattern_resolution: struct<width: struct<value: int64, unit: string>, height: struct<value: i (... 250 chars omitted)
                    child 0, pattern_resolution: struct<width: struct<value: int64, unit: string>, height: struct<value: int64, unit: string>>
                        child 0, width: struct<value: int64, unit: string>
                            child 0, value: int64
                            child 1, unit: string
                        child 1, height: struct<value: int64, unit: string>
                            child 0, value: int64
                            child 1, unit: string
                    child 1, min_scale: struct<value: double, unit: string>
                        child 0, value: double
                        child 1, unit: string
                    child 2, seed: string
                    child 3, pixel_type: string
                    child 4, max_diameter_fraction: double
                    child 5, scales_per_octave: int64
                    child 6, max_trials: int64
                    child 7, alpha: double
                    child 8, cutoff: double
                    child 9, raster_aligned: bool
                    child 10, polarity: string
              blobs: struct<unit: string, centers: list<item: list<item: double>>, sigmas: list<item: double>>
                child 0, unit: string
                child 1, centers: list<item: list<item: double>>
                    child 0, item: list<item: double>
                        child 0, item: double
                child 2, sigmas: list<item: double>
                    child 0, item: double
              saddle_points: list<item: null>
                child 0, item: null
              to
              {'schema': Value('string'), 'preamble': {'board_config': {'canvas_size': {'width': {'value': Value('int64'), 'unit': Value('string')}, 'height': {'value': Value('int64'), 'unit': Value('string')}}, 'board_size': {'width': {'value': Value('int64'), 'unit': Value('string')}, 'height': {'value': Value('int64'), 'unit': Value('string')}}, 'print_density': {'value': Value('int64'), 'unit': Value('string')}, 'frame_width': {'value': Value('int64'), 'unit': Value('string')}, 'frame_padding': {'value': Value('int64'), 'unit': Value('string')}, 'ruler_spec': {'width': {'value': Value('int64'), 'unit': Value('string')}, 'major_tick': {'spacing': {'value': Value('int64'), 'unit': Value('string')}, 'width': {'value': Value('int64'), 'unit': Value('string')}}, 'minor_tick': {'spacing': {'value': Value('int64'), 'unit': Value('string')}, 'width': {'value': Value('float64'), 'unit': Value('string')}}}, 'frame_style': Value('string')}, 'pattern_config': {'pattern_resolution': {'width': {'value': Value('int64'), 'unit': Value('string')}, 'height': {'value': Value('int64'), 'unit': Value('string')}}, 'min_scale': {'value': Value('float64'), 'unit': Value('string')}, 'seed': Value('string'), 'pixel_type': Value('string'), 'max_diameter_fraction': Value('float64'), 'scales_per_octave': Value('int64'), 'max_trials': Value('int64'), 'alpha': Value('float64'), 'cutoff': Value('float64'), 'raster_aligned': Value('bool'), 'polarity': Value('string')}}, 'blobs': {'unit': Value('string'), 'centers': List(List(Value('float64'))), 'sigmas': List(Value('float64'))}, 'saddle_points': List(Value('null')), 'hashes': {'config': Value('string'), 'canonical': Value('string')}}
              because column names don't match

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BlobBoards example data

The data BlobBoards.jl's pipeline examples run on, fetched automatically through the package's Artifacts.toml catalog — no dataset setup required.

file contents serves
bb_example_boards.tar.gz 50 board definitions (JSON only, ~0.7 MB). Renders regenerate on demand from the recorded blob lists via BlobBoards' authoring extension (import CairoMakie), cached in a local scratch space — the byte-frozen print-run renders live in the paper's Zenodo assets tier everything
bb_example_still.tar.gz one 4240×2832 still + its camera store (cameras.json, vgio/cameras/v1) find_boards, calibrated + uncalibrated
bb_example_video.tar.gz one 1920×1080 handheld clip + its camera store track_boards + trace replay, calibrated + uncalibrated

Each tarball is a Julia Pkg artifact (content-addressed, sha256-pinned in BlobBoards' Artifacts.toml); the raw trees are also browsable here.

Cameras are stored in VisualGeometryIo's canonical vgio/cameras/v1 schema and read with VisualGeometryIo.load(CameraModel, "cameras.json").

Consume via the examples:

julia --project=. examples/pipeline/find_boards.jl
julia --project=. examples/pipeline/track_boards.jl
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