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_path: string
episodes: list<item: struct<raw_dir: string, session_meta: struct<started_wall_time_ns: int64, started_monoton (... 1827 chars omitted)
child 0, item: struct<raw_dir: string, session_meta: struct<started_wall_time_ns: int64, started_monotonic_ns: int6 (... 1815 chars omitted)
child 0, raw_dir: string
child 1, session_meta: struct<started_wall_time_ns: int64, started_monotonic_ns: int64, video_fps: double, state_hz: double (... 1158 chars omitted)
child 0, started_wall_time_ns: int64
child 1, started_monotonic_ns: int64
child 2, video_fps: double
child 3, state_hz: double
child 4, min_sample_hz: double
child 5, jsonl_queue_size: int64
child 6, jsonl_batch_size: int64
child 7, jsonl_flush_interval_s: double
child 8, tracking_queue_size: int64
child 9, camera_frame_queue_size: int64
child 10, record_tracking_raw: bool
child 11, camera_use_isp: bool
child 12, video_backend: string
child 13, teleop_config: struct<teleop_during_record: bool, teleop_rate_hz: double, teleop_watchdog_s: double, teleop_deadman (... 729 chars omitted)
child 0, teleop_during_record: bool
child 1, teleop_rate_hz: double
child 2, teleop_watchdog_s: double
child 3, teleop_deadman_mode: string
child 4, teleop_controller_scale: double
child 5, teleop_rotati
...
: int64, right: int64>
child 0, left: int64
child 1, right: int64
child 9, video_captured: struct<left: int64, right: int64>
child 0, left: int64
child 1, right: int64
child 10, video_dropped: struct<left: int64, right: int64>
child 0, left: int64
child 1, right: int64
child 11, video_effective_hz: struct<left: double, right: double>
child 0, left: double
child 1, right: double
child 12, state_samples: int64
child 13, state_effective_hz: double
child 14, jsonl_dropped: struct<tracking: int64, robot: int64, events: int64, camera: int64>
child 0, tracking: int64
child 1, robot: int64
child 2, events: int64
child 3, camera: int64
child 15, reason: string
child 16, timing_summary_path: string
first_frame_delta: bool
robot_0_action_definition: string
state_definition: string
episode_count: int64
include_videos: bool
drop_zero_action_prefix: bool
pico_timestamp_keys: list<item: string>
child 0, item: string
raw_dir: string
duration_s: double
video_shape: list<item: int64>
child 0, item: int64
frames: int64
repo_id: string
video_definition: string
video_bitrate_kbps: int64
action_definition: string
output_root: string
fps: int64
robot_1_action_definition: string
video_codec: string
video_resolution: string
video_transcoded_files: int64
to
{'raw_dir': Value('string'), 'episode_count': Value('int64'), 'episodes': List({'episode_index': Value('int64'), 'raw_dir': Value('string'), 'frames': Value('int64'), 'duration_s': Value('float64'), 'start_monotonic_ns': Value('int64'), 'raw_start_monotonic_ns': Value('int64'), 'end_monotonic_ns': Value('int64'), 'summary_present': Value('bool'), 'source_counts': {'robot_state': Value('int64'), 'pico_tracking': Value('int64'), 'gripper_events': Value('int64'), 'gripper_timeline_items': Value('int64')}, 'sync_abs_error_ms': {'robot': {'mean': Value('float64'), 'p95': Value('float64'), 'max': Value('float64')}, 'pico': {'mean': Value('float64'), 'p95': Value('float64'), 'max': Value('float64')}, 'left_camera': {'mean': Value('float64'), 'p95': Value('float64'), 'max': Value('float64')}, 'right_camera': {'mean': Value('float64'), 'p95': Value('float64'), 'max': Value('float64')}}}), 'repo_id': Value('string'), 'output_root': Value('string'), 'fps': Value('int64'), 'frames': Value('int64'), 'duration_s': Value('float64'), 'include_videos': Value('bool'), 'video_resolution': Value('string'), 'video_bitrate_kbps': Value('int64'), 'video_transcoded_files': Value('int64'), 'video_shape': List(Value('int64')), 'video_codec': Value('string'), 'first_frame_delta': Value('bool'), 'drop_zero_action_prefix': Value('bool'), 'pico_timestamp_keys': List(Value('string')), 'state_definition': Value('string'), 'action_definition': Value('string'), 'video_definition': Value('string'), 'robot_0_action_definition': Value('string'), 'robot_1_action_definition': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
input_path: string
episodes: list<item: struct<raw_dir: string, session_meta: struct<started_wall_time_ns: int64, started_monoton (... 1827 chars omitted)
child 0, item: struct<raw_dir: string, session_meta: struct<started_wall_time_ns: int64, started_monotonic_ns: int6 (... 1815 chars omitted)
child 0, raw_dir: string
child 1, session_meta: struct<started_wall_time_ns: int64, started_monotonic_ns: int64, video_fps: double, state_hz: double (... 1158 chars omitted)
child 0, started_wall_time_ns: int64
child 1, started_monotonic_ns: int64
child 2, video_fps: double
child 3, state_hz: double
child 4, min_sample_hz: double
child 5, jsonl_queue_size: int64
child 6, jsonl_batch_size: int64
child 7, jsonl_flush_interval_s: double
child 8, tracking_queue_size: int64
child 9, camera_frame_queue_size: int64
child 10, record_tracking_raw: bool
child 11, camera_use_isp: bool
child 12, video_backend: string
child 13, teleop_config: struct<teleop_during_record: bool, teleop_rate_hz: double, teleop_watchdog_s: double, teleop_deadman (... 729 chars omitted)
child 0, teleop_during_record: bool
child 1, teleop_rate_hz: double
child 2, teleop_watchdog_s: double
child 3, teleop_deadman_mode: string
child 4, teleop_controller_scale: double
child 5, teleop_rotati
...
: int64, right: int64>
child 0, left: int64
child 1, right: int64
child 9, video_captured: struct<left: int64, right: int64>
child 0, left: int64
child 1, right: int64
child 10, video_dropped: struct<left: int64, right: int64>
child 0, left: int64
child 1, right: int64
child 11, video_effective_hz: struct<left: double, right: double>
child 0, left: double
child 1, right: double
child 12, state_samples: int64
child 13, state_effective_hz: double
child 14, jsonl_dropped: struct<tracking: int64, robot: int64, events: int64, camera: int64>
child 0, tracking: int64
child 1, robot: int64
child 2, events: int64
child 3, camera: int64
child 15, reason: string
child 16, timing_summary_path: string
first_frame_delta: bool
robot_0_action_definition: string
state_definition: string
episode_count: int64
include_videos: bool
drop_zero_action_prefix: bool
pico_timestamp_keys: list<item: string>
child 0, item: string
raw_dir: string
duration_s: double
video_shape: list<item: int64>
child 0, item: int64
frames: int64
repo_id: string
video_definition: string
video_bitrate_kbps: int64
action_definition: string
output_root: string
fps: int64
robot_1_action_definition: string
video_codec: string
video_resolution: string
video_transcoded_files: int64
to
{'raw_dir': Value('string'), 'episode_count': Value('int64'), 'episodes': List({'episode_index': Value('int64'), 'raw_dir': Value('string'), 'frames': Value('int64'), 'duration_s': Value('float64'), 'start_monotonic_ns': Value('int64'), 'raw_start_monotonic_ns': Value('int64'), 'end_monotonic_ns': Value('int64'), 'summary_present': Value('bool'), 'source_counts': {'robot_state': Value('int64'), 'pico_tracking': Value('int64'), 'gripper_events': Value('int64'), 'gripper_timeline_items': Value('int64')}, 'sync_abs_error_ms': {'robot': {'mean': Value('float64'), 'p95': Value('float64'), 'max': Value('float64')}, 'pico': {'mean': Value('float64'), 'p95': Value('float64'), 'max': Value('float64')}, 'left_camera': {'mean': Value('float64'), 'p95': Value('float64'), 'max': Value('float64')}, 'right_camera': {'mean': Value('float64'), 'p95': Value('float64'), 'max': Value('float64')}}}), 'repo_id': Value('string'), 'output_root': Value('string'), 'fps': Value('int64'), 'frames': Value('int64'), 'duration_s': Value('float64'), 'include_videos': Value('bool'), 'video_resolution': Value('string'), 'video_bitrate_kbps': Value('int64'), 'video_transcoded_files': Value('int64'), 'video_shape': List(Value('int64')), 'video_codec': Value('string'), 'first_frame_delta': Value('bool'), 'drop_zero_action_prefix': Value('bool'), 'pico_timestamp_keys': List(Value('string')), 'state_definition': Value('string'), 'action_definition': Value('string'), 'video_definition': Value('string'), 'robot_0_action_definition': Value('string'), 'robot_1_action_definition': 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.