Dataset Viewer
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
run_name: string
run_subname: string
slam_run: string
mask_run: string
frames_run: string
calib_run: string
calibration_mode: string
use_identity_extrinsics: bool
num_frames: int64
discard_frames_without_fg: bool
num_frames_without_fg: int64
frames_without_fg_indices: list<item: int64>
child 0, item: int64
frames_without_fg_ids: list<item: int64>
child 0, item: int64
num_discarded_frames: int64
discarded_frame_indices: list<item: int64>
child 0, item: int64
discarded_frame_ids: list<item: int64>
child 0, item: int64
bg_ref_idx: int64
bg_ref_frame_id: int64
num_points_raw: int64
num_points_saved: int64
conf_threshold: double
eqr_width: int64
pano_depth_convention: string
pano_conf_npy: string
panorama_size_wh: list<item: int64>
child 0, item: int64
geometry_params: struct<frame_stride: int64, contact_points_per_frame: int64, seed_radius: double, core_radius: doubl (... 193 chars omitted)
child 0, frame_stride: int64
child 1, contact_points_per_frame: int64
child 2, seed_radius: double
child 3, core_radius: double
child 4, band: double
child 5, step: double
child 6, slope: double
child 7, max_radius: double
child 8, semantic_min_seed_fraction: double
child 9, absorb_radius: double
child 10, rescue_max_gap: double
child 11, margin_percentile: double
child 12, slam_run: string
panorama_source_size_wh: list<item: int64>
child 0, item: int64
support_geometry_enabled: bool
panorama_fraction: struct<sky: double, support_semantic: double>
child
...
r_frame: int64
child 2, seed_radius: double
child 3, core_radius: double
child 4, band: double
child 5, step: double
child 6, slope: double
child 7, max_radius: double
child 8, semantic_min_seed_fraction: double
child 9, absorb_radius: double
child 10, rescue_max_gap: double
child 11, margin_percentile: double
child 12, slam_run: string
child 3, object_ids: list<item: string>
child 0, item: string
support_geometry: struct<0: struct<status: string, support_surface: string>>
child 0, 0: struct<status: string, support_surface: string>
child 0, status: string
child 1, support_surface: string
layout: string
environment_source: string
threshold: double
per_label: struct<sky: struct<masks: int64, kept: int64, pixels: int64>>
child 0, sky: struct<masks: int64, kept: int64, pixels: int64>
child 0, masks: int64
child 1, kept: int64
child 2, pixels: int64
environment: string
semantics: string
panorama: string
support_surface_source: string
prompts: struct<sky: list<item: string>, support: list<item: null>>
child 0, sky: list<item: string>
child 0, item: string
child 1, support: list<item: null>
child 0, item: null
contact_margin_world: null
outputs: struct<occluders: string, sky: string>
child 0, occluders: string
child 1, sky: string
source: string
support_surface_names: struct<0: string>
child 0, 0: string
to
{'layout': Value('string'), 'source': Value('string'), 'panorama': Value('string'), 'panorama_size_wh': List(Value('int64')), 'panorama_source_size_wh': List(Value('int64')), 'environment': Value('string'), 'environment_source': Value('string'), 'prompts': {'sky': List(Value('string')), 'support': List(Value('null'))}, 'support_surface_names': {'0': Value('string')}, 'support_surface_source': Value('string'), 'threshold': Value('float64'), 'per_label': {'sky': {'masks': Value('int64'), 'kept': Value('int64'), 'pixels': Value('int64')}}, 'panorama_fraction': {'sky': Value('float64'), 'support_semantic': Value('float64')}, 'support_geometry_enabled': Value('bool'), 'support_geometry': {'0': {'status': Value('string'), 'support_surface': Value('string')}}, 'contact_margin_world': Value('null'), 'geometry_params': {'frame_stride': Value('int64'), 'contact_points_per_frame': Value('int64'), 'seed_radius': Value('float64'), 'core_radius': Value('float64'), 'band': Value('float64'), 'step': Value('float64'), 'slope': Value('float64'), 'max_radius': Value('float64'), 'semantic_min_seed_fraction': Value('float64'), 'absorb_radius': Value('float64'), 'rescue_max_gap': Value('float64'), 'margin_percentile': Value('float64'), 'slam_run': Value('string')}, 'inputs_stamp': {'files': {'transform': Value('string'), 'understanding': Value('string'), 'panorama': Value('string'), '0/aligned': Value('string'), '0/adaptive_smoothed': Value('string'), '0/linear': Value('string')}, 'big': {'marble': {'path': Value('string'), 'size': Value('int64')}}, 'params': {'threshold': Value('float64'), 'environment': Value('string'), 'geometry': {'frame_stride': Value('int64'), 'contact_points_per_frame': Value('int64'), 'seed_radius': Value('float64'), 'core_radius': Value('float64'), 'band': Value('float64'), 'step': Value('float64'), 'slope': Value('float64'), 'max_radius': Value('float64'), 'semantic_min_seed_fraction': Value('float64'), 'absorb_radius': Value('float64'), 'rescue_max_gap': Value('float64'), 'margin_percentile': Value('float64'), 'slam_run': Value('string')}, 'object_ids': List(Value('string'))}}, 'splats': {'total': Value('int64'), 'sky': Value('int64'), 'support': Value('int64'), 'occluders': Value('int64')}, 'outputs': {'occluders': Value('string'), 'sky': Value('string')}, 'semantics': Value('string')}
because column names don't match
Traceback: 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
run_name: string
run_subname: string
slam_run: string
mask_run: string
frames_run: string
calib_run: string
calibration_mode: string
use_identity_extrinsics: bool
num_frames: int64
discard_frames_without_fg: bool
num_frames_without_fg: int64
frames_without_fg_indices: list<item: int64>
child 0, item: int64
frames_without_fg_ids: list<item: int64>
child 0, item: int64
num_discarded_frames: int64
discarded_frame_indices: list<item: int64>
child 0, item: int64
discarded_frame_ids: list<item: int64>
child 0, item: int64
bg_ref_idx: int64
bg_ref_frame_id: int64
num_points_raw: int64
num_points_saved: int64
conf_threshold: double
eqr_width: int64
pano_depth_convention: string
pano_conf_npy: string
panorama_size_wh: list<item: int64>
child 0, item: int64
geometry_params: struct<frame_stride: int64, contact_points_per_frame: int64, seed_radius: double, core_radius: doubl (... 193 chars omitted)
child 0, frame_stride: int64
child 1, contact_points_per_frame: int64
child 2, seed_radius: double
child 3, core_radius: double
child 4, band: double
child 5, step: double
child 6, slope: double
child 7, max_radius: double
child 8, semantic_min_seed_fraction: double
child 9, absorb_radius: double
child 10, rescue_max_gap: double
child 11, margin_percentile: double
child 12, slam_run: string
panorama_source_size_wh: list<item: int64>
child 0, item: int64
support_geometry_enabled: bool
panorama_fraction: struct<sky: double, support_semantic: double>
child
...
r_frame: int64
child 2, seed_radius: double
child 3, core_radius: double
child 4, band: double
child 5, step: double
child 6, slope: double
child 7, max_radius: double
child 8, semantic_min_seed_fraction: double
child 9, absorb_radius: double
child 10, rescue_max_gap: double
child 11, margin_percentile: double
child 12, slam_run: string
child 3, object_ids: list<item: string>
child 0, item: string
support_geometry: struct<0: struct<status: string, support_surface: string>>
child 0, 0: struct<status: string, support_surface: string>
child 0, status: string
child 1, support_surface: string
layout: string
environment_source: string
threshold: double
per_label: struct<sky: struct<masks: int64, kept: int64, pixels: int64>>
child 0, sky: struct<masks: int64, kept: int64, pixels: int64>
child 0, masks: int64
child 1, kept: int64
child 2, pixels: int64
environment: string
semantics: string
panorama: string
support_surface_source: string
prompts: struct<sky: list<item: string>, support: list<item: null>>
child 0, sky: list<item: string>
child 0, item: string
child 1, support: list<item: null>
child 0, item: null
contact_margin_world: null
outputs: struct<occluders: string, sky: string>
child 0, occluders: string
child 1, sky: string
source: string
support_surface_names: struct<0: string>
child 0, 0: string
to
{'layout': Value('string'), 'source': Value('string'), 'panorama': Value('string'), 'panorama_size_wh': List(Value('int64')), 'panorama_source_size_wh': List(Value('int64')), 'environment': Value('string'), 'environment_source': Value('string'), 'prompts': {'sky': List(Value('string')), 'support': List(Value('null'))}, 'support_surface_names': {'0': Value('string')}, 'support_surface_source': Value('string'), 'threshold': Value('float64'), 'per_label': {'sky': {'masks': Value('int64'), 'kept': Value('int64'), 'pixels': Value('int64')}}, 'panorama_fraction': {'sky': Value('float64'), 'support_semantic': Value('float64')}, 'support_geometry_enabled': Value('bool'), 'support_geometry': {'0': {'status': Value('string'), 'support_surface': Value('string')}}, 'contact_margin_world': Value('null'), 'geometry_params': {'frame_stride': Value('int64'), 'contact_points_per_frame': Value('int64'), 'seed_radius': Value('float64'), 'core_radius': Value('float64'), 'band': Value('float64'), 'step': Value('float64'), 'slope': Value('float64'), 'max_radius': Value('float64'), 'semantic_min_seed_fraction': Value('float64'), 'absorb_radius': Value('float64'), 'rescue_max_gap': Value('float64'), 'margin_percentile': Value('float64'), 'slam_run': Value('string')}, 'inputs_stamp': {'files': {'transform': Value('string'), 'understanding': Value('string'), 'panorama': Value('string'), '0/aligned': Value('string'), '0/adaptive_smoothed': Value('string'), '0/linear': Value('string')}, 'big': {'marble': {'path': Value('string'), 'size': Value('int64')}}, 'params': {'threshold': Value('float64'), 'environment': Value('string'), 'geometry': {'frame_stride': Value('int64'), 'contact_points_per_frame': Value('int64'), 'seed_radius': Value('float64'), 'core_radius': Value('float64'), 'band': Value('float64'), 'step': Value('float64'), 'slope': Value('float64'), 'max_radius': Value('float64'), 'semantic_min_seed_fraction': Value('float64'), 'absorb_radius': Value('float64'), 'rescue_max_gap': Value('float64'), 'margin_percentile': Value('float64'), 'slam_run': Value('string')}, 'object_ids': List(Value('string'))}}, 'splats': {'total': Value('int64'), 'sky': Value('int64'), 'support': Value('int64'), 'occluders': Value('int64')}, 'outputs': {'occluders': Value('string'), 'sky': Value('string')}, 'semantics': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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