Dataset Viewer

Split (1)

train

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
...
e: int64, hold_auto_exposure: int64, reported_exposure_t (... 133 chars omitted)
      child 0, strategy: string
      child 1, warmup_auto_exposure: int64
      child 2, hold_auto_exposure: int64
      child 3, reported_exposure_time_absolute: null
      child 4, reported_gain: null
      child 5, warmup_frames: int64
      child 6, warmup_timeout_sec: double
      child 7, ros_publish_cap_fps: double
      child 8, note: string
created_time: timestamp[s]
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
source_files: struct<calibration_json: string, calibration_yaml: string, crop_json: string, table_frame_json: stri (... 26 chars omitted)
  child 0, calibration_json: string
  child 1, calibration_yaml: string
  child 2, crop_json: string
  child 3, table_frame_json: string
  child 4, camchain_yaml: string
recording_mode: string
session_name: string
schema: 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'), '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')}}, '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_auto_exposure': Value('int64'), 'warmup_sec': Value('float64'), 'reported_exposure_time_absolute': Value('null'), 'reported_gain': Value('null')}}), 'offline_processing': {'image_undistort_not_recorded': Value('bool'), 'rectify_scale': Value('float64'), 'crop': {'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')}
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
              ...
              e: int64, hold_auto_exposure: int64, reported_exposure_t (... 133 chars omitted)
                    child 0, strategy: string
                    child 1, warmup_auto_exposure: int64
                    child 2, hold_auto_exposure: int64
                    child 3, reported_exposure_time_absolute: null
                    child 4, reported_gain: null
                    child 5, warmup_frames: int64
                    child 6, warmup_timeout_sec: double
                    child 7, ros_publish_cap_fps: double
                    child 8, note: string
              created_time: timestamp[s]
              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
              source_files: struct<calibration_json: string, calibration_yaml: string, crop_json: string, table_frame_json: stri (... 26 chars omitted)
                child 0, calibration_json: string
                child 1, calibration_yaml: string
                child 2, crop_json: string
                child 3, table_frame_json: string
                child 4, camchain_yaml: string
              recording_mode: string
              session_name: string
              schema: 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'), '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')}}, '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_auto_exposure': Value('int64'), 'warmup_sec': Value('float64'), 'reported_exposure_time_absolute': Value('null'), 'reported_gain': Value('null')}}), 'offline_processing': {'image_undistort_not_recorded': Value('bool'), 'rectify_scale': Value('float64'), 'crop': {'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')}
              because column names don't match

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LFV raw recording: `Pe_Insertion02`

Public raw robot-teleoperation recording archived by the LFV TUI.

Episodes: 40
Rosbag files: 40
Integrated-health BAD episodes: 0
Camera/action contract: config/lfv_camera_contract.json

Download on a local or cloud training machine:

hf auth login
hf download Onol/lfv-raw-peg-insertion-part2 --repo-type dataset \
  --local-dir ./rosbag_data/Pe_Insertion02

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.

Downloads last month: 414

Total file size:

8.04 GB

LFV raw recording: Pe_Insertion02

LFV raw recording: `Pe_Insertion02`