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
input_dir: string
source: string
source_camchain_yaml: string
source_results_txt: string
target_yaml: string
target_type: string
image_width: int64
image_height: int64
pattern_cols_inner_corners: int64
pattern_rows_inner_corners: int64
square_size_m: double
camera_model: string
kalibr_camera_model: string
valid_pairs: int64
skipped_pairs: list<item: null>
child 0, item: null
left_rms: double
right_rms: double
left_reprojection_rms_px: double
right_reprojection_rms_px: double
stereo_rms: double
kalibr_results: struct<cam0_reprojection_error_mean_xy_px: list<item: double>, cam0_reprojection_error_std_xy_px: li (... 208 chars omitted)
child 0, cam0_reprojection_error_mean_xy_px: list<item: double>
child 0, item: double
child 1, cam0_reprojection_error_std_xy_px: list<item: double>
child 0, item: double
child 2, cam0_reprojection_error_rms_px: double
child 3, cam1_reprojection_error_mean_xy_px: list<item: double>
child 0, item: double
child 4, cam1_reprojection_error_std_xy_px: list<item: double>
child 0, item: double
child 5, cam1_reprojection_error_rms_px: double
rectification_check_source: string
rectified_vertical_error_px: struct<mean_abs_px: double, rms_px: double, max_abs_px: double>
child 0, mean_abs_px: double
child 1, rms_px: double
child 2, max_abs_px: double
baseline_m: double
K_left: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
D_left: list<item: double>
child 0, item: dou
...
epth_image: string
record_profile: string
schema: string
episode_count: int64
action_contract: struct<source: string, topics: list<item: string>, replay_rate_hz: double, time_scale: double, recor (... 196 chars omitted)
child 0, source: string
child 1, topics: list<item: string>
child 0, item: string
child 2, replay_rate_hz: double
child 3, time_scale: double
child 4, record_move_to_start: bool
child 5, record_return_zero: bool
child 6, continuous_capture: struct<background_finalize_workers: int64, between_episode_transition: string, transition_recorded: (... 26 chars omitted)
child 0, background_finalize_workers: int64
child 1, between_episode_transition: string
child 2, transition_recorded: bool
child 3, return_zero: string
episode_mapping: string
source_session: string
offline_processing: struct<image_undistort_not_recorded: bool, rectify_scale: double, crop: struct<image_width: int64, i (... 147 chars omitted)
child 0, image_undistort_not_recorded: bool
child 1, rectify_scale: double
child 2, crop: struct<image_width: int64, image_height: int64, x: int64, y: int64, width: int64, height: int64, rot (... 74 chars omitted)
child 0, image_width: int64
child 1, image_height: int64
child 2, x: int64
child 3, y: int64
child 4, width: int64
child 5, height: int64
child 6, rotation_deg: double
child 7, rectifier: string
child 8, rectify_scale: double
child 9, note: string
to
{'schema': Value('string'), 'recording_mode': Value('string'), 'created_time': Value('timestamp[s]'), 'session_name': Value('string'), 'raw_camera': {'camera_name': Value('string'), 'usb_port': Value('string'), 'width': Value('int64'), 'height': Value('int64'), 'fps': Value('float64'), 'pixel_format': Value('string'), 'layout': Value('string'), 'topic': Value('string'), 'camera_info_topic': Value('string'), 'startup_controls': {'strategy': Value('string'), 'warmup_auto_exposure': Value('int64'), 'hold_auto_exposure': Value('int64'), 'exposure_time_absolute_baseline': Value('int64'), 'gain_baseline': Value('int64'), 'reported_exposure_time_absolute': Value('null'), 'reported_gain': Value('null'), 'warmup_frames': Value('int64'), 'warmup_timeout_sec': Value('float64'), 'ros_publish_cap_fps': Value('float64'), 'note': Value('string')}, 'color_controls': {'auto_white_balance': Value('bool'), 'white_balance_temperature': Value('int64'), 'hue': Value('int64'), 'saturation': Value('int64'), 'brightness': Value('int64'), 'contrast': Value('int64'), 'gamma': Value('int64'), 'sharpness': Value('int64'), 'backlight_compensation': Value('int64'), 'power_line_frequency': Value('int64'), 'profile_source': Value('string')}}, 'recorded_cameras': List({'name': Value('string'), 'role': Value('string'), 'target_fps': Value('float64'), 'topic': Value('string'), 'camera_info_topic': Value('string'), 'startup_controls': {'strategy': Value('string'), 'warmup_auto_exposure': Value('int64'), 'hold_au
...
rop': {'image_width': Value('int64'), 'image_height': Value('int64'), 'x': Value('int64'), 'y': Value('int64'), 'width': Value('int64'), 'height': Value('int64'), 'rotation_deg': Value('float64'), 'rectifier': Value('string'), 'rectify_scale': Value('float64'), 'note': Value('string')}}, 'source_files': {'calibration_json': Value('string'), 'calibration_yaml': Value('string'), 'crop_json': Value('string'), 'table_frame_json': Value('string'), 'camchain_yaml': Value('string')}, 'record_profile': Value('string'), 'source_session': Value('string'), 'episode_mapping': Value('string'), 'episode_count': Value('int64'), 'action_contract': {'source': Value('string'), 'topics': List(Value('string')), 'replay_rate_hz': Value('float64'), 'time_scale': Value('float64'), 'record_move_to_start': Value('bool'), 'record_return_zero': Value('bool'), 'continuous_capture': {'background_finalize_workers': Value('int64'), 'between_episode_transition': Value('string'), 'transition_recorded': Value('bool'), 'return_zero': Value('string')}}, 'top_camera': {'model': Value('string'), 'usb_port': Value('string'), 'rgb_topic': Value('string'), 'camera_info_topic': Value('string'), 'rgb_shape': List(Value('int64')), 'layout': Value('string'), 'depth_topic': Value('null'), 'depth_encoding': Value('null'), 'preprocessing': Value('string'), 'old_top_stereo_calibration_applied': Value('bool'), 'model_feature_mapping': {'observation.image': Value('string'), 'observation.fastfs_depth_image': 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
input_dir: string
source: string
source_camchain_yaml: string
source_results_txt: string
target_yaml: string
target_type: string
image_width: int64
image_height: int64
pattern_cols_inner_corners: int64
pattern_rows_inner_corners: int64
square_size_m: double
camera_model: string
kalibr_camera_model: string
valid_pairs: int64
skipped_pairs: list<item: null>
child 0, item: null
left_rms: double
right_rms: double
left_reprojection_rms_px: double
right_reprojection_rms_px: double
stereo_rms: double
kalibr_results: struct<cam0_reprojection_error_mean_xy_px: list<item: double>, cam0_reprojection_error_std_xy_px: li (... 208 chars omitted)
child 0, cam0_reprojection_error_mean_xy_px: list<item: double>
child 0, item: double
child 1, cam0_reprojection_error_std_xy_px: list<item: double>
child 0, item: double
child 2, cam0_reprojection_error_rms_px: double
child 3, cam1_reprojection_error_mean_xy_px: list<item: double>
child 0, item: double
child 4, cam1_reprojection_error_std_xy_px: list<item: double>
child 0, item: double
child 5, cam1_reprojection_error_rms_px: double
rectification_check_source: string
rectified_vertical_error_px: struct<mean_abs_px: double, rms_px: double, max_abs_px: double>
child 0, mean_abs_px: double
child 1, rms_px: double
child 2, max_abs_px: double
baseline_m: double
K_left: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
D_left: list<item: double>
child 0, item: dou
...
epth_image: string
record_profile: string
schema: string
episode_count: int64
action_contract: struct<source: string, topics: list<item: string>, replay_rate_hz: double, time_scale: double, recor (... 196 chars omitted)
child 0, source: string
child 1, topics: list<item: string>
child 0, item: string
child 2, replay_rate_hz: double
child 3, time_scale: double
child 4, record_move_to_start: bool
child 5, record_return_zero: bool
child 6, continuous_capture: struct<background_finalize_workers: int64, between_episode_transition: string, transition_recorded: (... 26 chars omitted)
child 0, background_finalize_workers: int64
child 1, between_episode_transition: string
child 2, transition_recorded: bool
child 3, return_zero: string
episode_mapping: string
source_session: string
offline_processing: struct<image_undistort_not_recorded: bool, rectify_scale: double, crop: struct<image_width: int64, i (... 147 chars omitted)
child 0, image_undistort_not_recorded: bool
child 1, rectify_scale: double
child 2, crop: struct<image_width: int64, image_height: int64, x: int64, y: int64, width: int64, height: int64, rot (... 74 chars omitted)
child 0, image_width: int64
child 1, image_height: int64
child 2, x: int64
child 3, y: int64
child 4, width: int64
child 5, height: int64
child 6, rotation_deg: double
child 7, rectifier: string
child 8, rectify_scale: double
child 9, note: string
to
{'schema': Value('string'), 'recording_mode': Value('string'), 'created_time': Value('timestamp[s]'), 'session_name': Value('string'), 'raw_camera': {'camera_name': Value('string'), 'usb_port': Value('string'), 'width': Value('int64'), 'height': Value('int64'), 'fps': Value('float64'), 'pixel_format': Value('string'), 'layout': Value('string'), 'topic': Value('string'), 'camera_info_topic': Value('string'), 'startup_controls': {'strategy': Value('string'), 'warmup_auto_exposure': Value('int64'), 'hold_auto_exposure': Value('int64'), 'exposure_time_absolute_baseline': Value('int64'), 'gain_baseline': Value('int64'), 'reported_exposure_time_absolute': Value('null'), 'reported_gain': Value('null'), 'warmup_frames': Value('int64'), 'warmup_timeout_sec': Value('float64'), 'ros_publish_cap_fps': Value('float64'), 'note': Value('string')}, 'color_controls': {'auto_white_balance': Value('bool'), 'white_balance_temperature': Value('int64'), 'hue': Value('int64'), 'saturation': Value('int64'), 'brightness': Value('int64'), 'contrast': Value('int64'), 'gamma': Value('int64'), 'sharpness': Value('int64'), 'backlight_compensation': Value('int64'), 'power_line_frequency': Value('int64'), 'profile_source': Value('string')}}, 'recorded_cameras': List({'name': Value('string'), 'role': Value('string'), 'target_fps': Value('float64'), 'topic': Value('string'), 'camera_info_topic': Value('string'), 'startup_controls': {'strategy': Value('string'), 'warmup_auto_exposure': Value('int64'), 'hold_au
...
rop': {'image_width': Value('int64'), 'image_height': Value('int64'), 'x': Value('int64'), 'y': Value('int64'), 'width': Value('int64'), 'height': Value('int64'), 'rotation_deg': Value('float64'), 'rectifier': Value('string'), 'rectify_scale': Value('float64'), 'note': Value('string')}}, 'source_files': {'calibration_json': Value('string'), 'calibration_yaml': Value('string'), 'crop_json': Value('string'), 'table_frame_json': Value('string'), 'camchain_yaml': Value('string')}, 'record_profile': Value('string'), 'source_session': Value('string'), 'episode_mapping': Value('string'), 'episode_count': Value('int64'), 'action_contract': {'source': Value('string'), 'topics': List(Value('string')), 'replay_rate_hz': Value('float64'), 'time_scale': Value('float64'), 'record_move_to_start': Value('bool'), 'record_return_zero': Value('bool'), 'continuous_capture': {'background_finalize_workers': Value('int64'), 'between_episode_transition': Value('string'), 'transition_recorded': Value('bool'), 'return_zero': Value('string')}}, 'top_camera': {'model': Value('string'), 'usb_port': Value('string'), 'rgb_topic': Value('string'), 'camera_info_topic': Value('string'), 'rgb_shape': List(Value('int64')), 'layout': Value('string'), 'depth_topic': Value('null'), 'depth_encoding': Value('null'), 'preprocessing': Value('string'), 'old_top_stereo_calibration_applied': Value('bool'), 'model_feature_mapping': {'observation.image': Value('string'), 'observation.fastfs_depth_image': 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.
LFV raw recording: Throw_Plush_Into_Tank_Replay_TopStereo_Current_Camera
Public raw robot-teleoperation recording archived by the LFV TUI.
- Episodes: 74
- Rosbag files: 74
- Integrated-health BAD episodes: 1
- Camera/action contract:
config/lfv_camera_contract.json
Download on a local or cloud training machine:
hf auth login
hf download Onol/lfv-raw-throw-plush-top-stereo-current-camera --repo-type dataset \
--local-dir ./rosbag_data/Throw_Plush_Into_Tank_Replay_TopStereo_Current_Camera
The detailed archive receipt is in lfv_hf_upload_manifest.json. Episode-level recording
health and alignment diagnostics remain in each episode_XXX/metadata.json.
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