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
scene_id: string
scene_dir: string
robot: string
scene_type: string
num_frames: int64
image_size: list<item: int64>
child 0, item: int64
predict_seconds: double
optimize_seconds: double
init_meta: struct<frames_used: list<item: int64>, scale_strategy_requested: string, scale_strategy_applied: str (... 76 chars omitted)
child 0, frames_used: list<item: int64>
child 0, item: int64
child 1, scale_strategy_requested: string
child 2, scale_strategy_applied: string
child 3, scale_value: double
child 4, depth_alignment_S: double
child 5, init_resolution: int64
refine: struct<iterations: int64, learning_rate: double, early_stopping_steps: int64, batch_size: null, hist (... 15 chars omitted)
child 0, iterations: int64
child 1, learning_rate: double
child 2, early_stopping_steps: int64
child 3, batch_size: null
child 4, history_len: int64
initial_extrinsic: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
refined_extrinsic: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
gt_extrinsic: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
initial_error: struct<rot_deg: double, trans_m: double, trans_dir_deg: double>
child 0, rot_deg: double
child 1, trans_m: double
child 2, trans_dir_deg: double
refined_error: struct<rot_deg: double, trans_m: double, trans_dir_deg: double>
child 0, rot_deg: double
child 1, trans_m:
...
101: string
child 7, airbot: string
pvnet_meta_paths: struct<>
model_kwargs: struct<>
pvnet_init_frame_index: int64
init_frame_indices: null
eh_plus_sampling_elev_min: double
compute_mask_iou: bool
eh_plus_grounded_text_threshold: double
eh_plus_fm_dkm_preset: string
shard_index: int64
visualize_panel_height: int64
kalib_degeneracy_eig_threshold: double
kalib_spatracker_checkpoint: string
eh_plus_init_max_side: int64
init_use_masks: bool
roboreg_dr_early_stopping_steps: int64
device: string
kalib_template_paths: struct<>
visualize_pointcloud_indices: null
visualize_max_video_frames: int64
skip_existing: bool
eh_plus_dr_init_learning_rate: double
max_scenes: null
roboreg_icp_outer_iter: int64
scene_types: list<item: string>
child 0, item: string
roboreg_z_min: double
kalib_dkm_confidence_threshold: double
roboreg_dr_lr: double
kalib_spatial_tracker_repo_path: string
pvnet_zeropose_data_dir: null
init_resolution: int64
data_dir: string
roboreg_icp_inner_iter: int64
robots: list<item: string>
child 0, item: string
pvnet_root: null
roboreg_z_max: double
batch_size: null
shuffle: bool
kalib_reference_link: struct<panda: string, so100: string, xarm6_robotiq: string, open_manipulator_x: string, so101: strin (... 52 chars omitted)
child 0, panda: string
child 1, so100: string
child 2, xarm6_robotiq: string
child 3, open_manipulator_x: string
child 4, so101: string
child 5, airbot: string
child 6, ur_10e: string
child 7, widowxai: string
roboreg_num_points: int64
to
{'data_dir': Value('string'), 'output_dir': Value('string'), 'split': Value('string'), 'robots': List(Value('string')), 'scene_types': List(Value('string')), 'max_scenes': Value('null'), 'shuffle': Value('bool'), 'stratify': Value('bool'), 'scenes_file': Value('null'), 'seed': Value('int64'), 'eval_domain': Value('string'), 'pvnet_real_qpos_warn_tol': Value('float64'), 'predictor': Value('string'), 'hec3r_checkpoint': Value('string'), 'model_target': Value('null'), 'model_kwargs': {}, 'init_resolution': Value('int64'), 'init_use_masks': Value('bool'), 'init_frame_indices': Value('null'), 'scale_strategy': Value('string'), 'pvnet_checkpoint_dirs': {}, 'pvnet_meta_paths': {}, 'pvnet_root': Value('null'), 'pvnet_epoch': Value('int64'), 'pvnet_train_resolution': Value('null'), 'pvnet_init_frame_index': Value('int64'), 'pvnet_zeropose_data_dir': Value('null'), 'manual_init_paths': {}, 'kalib_reference_link': {'panda': Value('string'), 'so100': Value('string'), 'xarm6_robotiq': Value('string'), 'open_manipulator_x': Value('string'), 'so101': Value('string'), 'airbot': Value('string'), 'ur_10e': Value('string'), 'widowxai': Value('string')}, 'kalib_reference_offset': {'panda': List(Value('float64')), 'so100': List(Value('float64')), 'xarm6_robotiq': List(Value('float64')), 'open_manipulator_x': List(Value('float64')), 'so101': List(Value('float64')), 'airbot': List(Value('float64')), 'ur_10e': List(Value('float64')), 'widowxai': List(Value('float64'))}, 'kalib_tracking_backend': Val
...
ision_meshes': Value('bool'), 'roboreg_num_points': Value('int64'), 'roboreg_max_distance': Value('float64'), 'roboreg_z_min': Value('float64'), 'roboreg_z_max': Value('float64'), 'roboreg_icp_outer_iter': Value('int64'), 'roboreg_icp_inner_iter': Value('int64'), 'roboreg_dr_optimizer': Value('string'), 'roboreg_dr_lr': Value('float64'), 'roboreg_dr_iterations': Value('int64'), 'roboreg_dr_early_stopping_steps': Value('int64'), 'compute_mask_iou': Value('bool'), 'iterations': Value('int64'), 'learning_rate': Value('float64'), 'early_stopping_steps': Value('int64'), 'batch_size': Value('null'), 'urdf_paths': {'so100': Value('string'), 'panda': Value('string'), 'xarm6_robotiq': Value('string'), 'ur_10e': Value('string'), 'widowxai': Value('string'), 'open_manipulator_x': Value('string'), 'so101': Value('string'), 'airbot': Value('string')}, 'visualize_num': Value('int64'), 'visualize_scene_indices': Value('null'), 'visualize_per_robot': Value('bool'), 'visualize_frames': Value('int64'), 'visualize_fps': Value('int64'), 'visualize_max_video_frames': Value('int64'), 'visualize_panel_height': Value('int64'), 'visualize_pointcloud_num': Value('int64'), 'visualize_pointcloud_indices': Value('null'), 'pointcloud_keep': Value('string'), 'pointcloud_max_points': Value('int64'), 'device': Value('string'), 'skip_existing': Value('bool'), 'refine_from_gt': Value('bool'), 'refine': Value('bool'), 'shard_index': Value('int64'), 'num_shards': Value('int64'), 'shard_by_series': Value('bool')}
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
scene_id: string
scene_dir: string
robot: string
scene_type: string
num_frames: int64
image_size: list<item: int64>
child 0, item: int64
predict_seconds: double
optimize_seconds: double
init_meta: struct<frames_used: list<item: int64>, scale_strategy_requested: string, scale_strategy_applied: str (... 76 chars omitted)
child 0, frames_used: list<item: int64>
child 0, item: int64
child 1, scale_strategy_requested: string
child 2, scale_strategy_applied: string
child 3, scale_value: double
child 4, depth_alignment_S: double
child 5, init_resolution: int64
refine: struct<iterations: int64, learning_rate: double, early_stopping_steps: int64, batch_size: null, hist (... 15 chars omitted)
child 0, iterations: int64
child 1, learning_rate: double
child 2, early_stopping_steps: int64
child 3, batch_size: null
child 4, history_len: int64
initial_extrinsic: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
refined_extrinsic: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
gt_extrinsic: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
initial_error: struct<rot_deg: double, trans_m: double, trans_dir_deg: double>
child 0, rot_deg: double
child 1, trans_m: double
child 2, trans_dir_deg: double
refined_error: struct<rot_deg: double, trans_m: double, trans_dir_deg: double>
child 0, rot_deg: double
child 1, trans_m:
...
101: string
child 7, airbot: string
pvnet_meta_paths: struct<>
model_kwargs: struct<>
pvnet_init_frame_index: int64
init_frame_indices: null
eh_plus_sampling_elev_min: double
compute_mask_iou: bool
eh_plus_grounded_text_threshold: double
eh_plus_fm_dkm_preset: string
shard_index: int64
visualize_panel_height: int64
kalib_degeneracy_eig_threshold: double
kalib_spatracker_checkpoint: string
eh_plus_init_max_side: int64
init_use_masks: bool
roboreg_dr_early_stopping_steps: int64
device: string
kalib_template_paths: struct<>
visualize_pointcloud_indices: null
visualize_max_video_frames: int64
skip_existing: bool
eh_plus_dr_init_learning_rate: double
max_scenes: null
roboreg_icp_outer_iter: int64
scene_types: list<item: string>
child 0, item: string
roboreg_z_min: double
kalib_dkm_confidence_threshold: double
roboreg_dr_lr: double
kalib_spatial_tracker_repo_path: string
pvnet_zeropose_data_dir: null
init_resolution: int64
data_dir: string
roboreg_icp_inner_iter: int64
robots: list<item: string>
child 0, item: string
pvnet_root: null
roboreg_z_max: double
batch_size: null
shuffle: bool
kalib_reference_link: struct<panda: string, so100: string, xarm6_robotiq: string, open_manipulator_x: string, so101: strin (... 52 chars omitted)
child 0, panda: string
child 1, so100: string
child 2, xarm6_robotiq: string
child 3, open_manipulator_x: string
child 4, so101: string
child 5, airbot: string
child 6, ur_10e: string
child 7, widowxai: string
roboreg_num_points: int64
to
{'data_dir': Value('string'), 'output_dir': Value('string'), 'split': Value('string'), 'robots': List(Value('string')), 'scene_types': List(Value('string')), 'max_scenes': Value('null'), 'shuffle': Value('bool'), 'stratify': Value('bool'), 'scenes_file': Value('null'), 'seed': Value('int64'), 'eval_domain': Value('string'), 'pvnet_real_qpos_warn_tol': Value('float64'), 'predictor': Value('string'), 'hec3r_checkpoint': Value('string'), 'model_target': Value('null'), 'model_kwargs': {}, 'init_resolution': Value('int64'), 'init_use_masks': Value('bool'), 'init_frame_indices': Value('null'), 'scale_strategy': Value('string'), 'pvnet_checkpoint_dirs': {}, 'pvnet_meta_paths': {}, 'pvnet_root': Value('null'), 'pvnet_epoch': Value('int64'), 'pvnet_train_resolution': Value('null'), 'pvnet_init_frame_index': Value('int64'), 'pvnet_zeropose_data_dir': Value('null'), 'manual_init_paths': {}, 'kalib_reference_link': {'panda': Value('string'), 'so100': Value('string'), 'xarm6_robotiq': Value('string'), 'open_manipulator_x': Value('string'), 'so101': Value('string'), 'airbot': Value('string'), 'ur_10e': Value('string'), 'widowxai': Value('string')}, 'kalib_reference_offset': {'panda': List(Value('float64')), 'so100': List(Value('float64')), 'xarm6_robotiq': List(Value('float64')), 'open_manipulator_x': List(Value('float64')), 'so101': List(Value('float64')), 'airbot': List(Value('float64')), 'ur_10e': List(Value('float64')), 'widowxai': List(Value('float64'))}, 'kalib_tracking_backend': Val
...
ision_meshes': Value('bool'), 'roboreg_num_points': Value('int64'), 'roboreg_max_distance': Value('float64'), 'roboreg_z_min': Value('float64'), 'roboreg_z_max': Value('float64'), 'roboreg_icp_outer_iter': Value('int64'), 'roboreg_icp_inner_iter': Value('int64'), 'roboreg_dr_optimizer': Value('string'), 'roboreg_dr_lr': Value('float64'), 'roboreg_dr_iterations': Value('int64'), 'roboreg_dr_early_stopping_steps': Value('int64'), 'compute_mask_iou': Value('bool'), 'iterations': Value('int64'), 'learning_rate': Value('float64'), 'early_stopping_steps': Value('int64'), 'batch_size': Value('null'), 'urdf_paths': {'so100': Value('string'), 'panda': Value('string'), 'xarm6_robotiq': Value('string'), 'ur_10e': Value('string'), 'widowxai': Value('string'), 'open_manipulator_x': Value('string'), 'so101': Value('string'), 'airbot': Value('string')}, 'visualize_num': Value('int64'), 'visualize_scene_indices': Value('null'), 'visualize_per_robot': Value('bool'), 'visualize_frames': Value('int64'), 'visualize_fps': Value('int64'), 'visualize_max_video_frames': Value('int64'), 'visualize_panel_height': Value('int64'), 'visualize_pointcloud_num': Value('int64'), 'visualize_pointcloud_indices': Value('null'), 'pointcloud_keep': Value('string'), 'pointcloud_max_points': Value('int64'), 'device': Value('string'), 'skip_existing': Value('bool'), 'refine_from_gt': Value('bool'), 'refine': Value('bool'), 'shard_index': Value('int64'), 'num_shards': Value('int64'), 'shard_by_series': Value('bool')}
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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