Datasets:

dawity
/

screwing_aiworker

Tags:

License:

Dataset card Files Files and versions

xet

Community

Dataset Viewer

Duplicate

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
callback_queue_bytes_current: int64
diagnostics_mode: string
diagnostics_path: null
first_recv_ns: int64
frames_dropped_invalid: int64
frames_dropped_queue: int64
frames_metadata_written: int64
frames_received: int64
frames_remuxed: int64
frames_written: int64
last_recv_ns: int64
max_callback_queue_bytes: int64
max_callback_queue_items: int64
max_enqueue_wait_ns: int64
max_header_ahead_ns: int64
max_header_behind_ns: int64
max_metadata_flush_ns: int64
max_metadata_queue_items: int64
max_raw_queue_bytes: int64
max_raw_queue_items: int64
max_raw_write_ns: int64
metadata_error: null
mp4_path: string
name: string
pressure_warning_count: int64
raw_path: string
raw_queue_bytes_current: int64
raw_write_error: null
remux_duration_ns: int64
remux_error: null
remux_status: string
sidecar_path: string
soft_callback_queue_bytes: int64
soft_callback_queue_frames: int64
soft_metadata_queue_rows: int64
soft_raw_queue_bytes: int64
soft_raw_queue_frames: int64
timestamp_future_warning_count: int64
timestamp_past_warning_count: int64
timestamp_warning_count: int64
topic: string
robot_type: string
segments: list<item: struct<sub_task_instruction: string, frame_duration: list<item: double>>>
  child 0, item: struct<sub_task_instruction: string, frame_duration: list<item: double>>
      child 0, sub_task_instruction: string
      child 1, frame_duration: list<item: double>
          child 0, item: double
timestamp: timestamp[s]
episode_index: int64
task_name: string
transcoding_status: string
task_instruction: string
format_version: string
transcoding_cameras_failed: struct<>
task_num: string
video_remux_status: string
device_serial: string
to
{'task_instruction': Value('string'), 'task_num': Value('string'), 'task_name': Value('string'), 'robot_type': Value('string'), 'device_serial': Value('string'), 'episode_index': Value('int64'), 'timestamp': Value('timestamp[s]'), 'format_version': Value('string'), 'segments': List({'sub_task_instruction': Value('string'), 'frame_duration': List(Value('float64'))}), 'transcoding_status': Value('string'), 'video_remux_status': Value('string'), 'transcoding_cameras_failed': {}}
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
              callback_queue_bytes_current: int64
              diagnostics_mode: string
              diagnostics_path: null
              first_recv_ns: int64
              frames_dropped_invalid: int64
              frames_dropped_queue: int64
              frames_metadata_written: int64
              frames_received: int64
              frames_remuxed: int64
              frames_written: int64
              last_recv_ns: int64
              max_callback_queue_bytes: int64
              max_callback_queue_items: int64
              max_enqueue_wait_ns: int64
              max_header_ahead_ns: int64
              max_header_behind_ns: int64
              max_metadata_flush_ns: int64
              max_metadata_queue_items: int64
              max_raw_queue_bytes: int64
              max_raw_queue_items: int64
              max_raw_write_ns: int64
              metadata_error: null
              mp4_path: string
              name: string
              pressure_warning_count: int64
              raw_path: string
              raw_queue_bytes_current: int64
              raw_write_error: null
              remux_duration_ns: int64
              remux_error: null
              remux_status: string
              sidecar_path: string
              soft_callback_queue_bytes: int64
              soft_callback_queue_frames: int64
              soft_metadata_queue_rows: int64
              soft_raw_queue_bytes: int64
              soft_raw_queue_frames: int64
              timestamp_future_warning_count: int64
              timestamp_past_warning_count: int64
              timestamp_warning_count: int64
              topic: string
              robot_type: string
              segments: list<item: struct<sub_task_instruction: string, frame_duration: list<item: double>>>
                child 0, item: struct<sub_task_instruction: string, frame_duration: list<item: double>>
                    child 0, sub_task_instruction: string
                    child 1, frame_duration: list<item: double>
                        child 0, item: double
              timestamp: timestamp[s]
              episode_index: int64
              task_name: string
              transcoding_status: string
              task_instruction: string
              format_version: string
              transcoding_cameras_failed: struct<>
              task_num: string
              video_remux_status: string
              device_serial: string
              to
              {'task_instruction': Value('string'), 'task_num': Value('string'), 'task_name': Value('string'), 'robot_type': Value('string'), 'device_serial': Value('string'), 'episode_index': Value('int64'), 'timestamp': Value('timestamp[s]'), 'format_version': Value('string'), 'segments': List({'sub_task_instruction': Value('string'), 'frame_duration': List(Value('float64'))}), 'transcoding_status': Value('string'), 'video_remux_status': Value('string'), 'transcoding_cameras_failed': {}}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Task_1_screwing_MCAP

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Created with Cyclo Intelligence by ROBOTIS.

Downloads last month: 799

Total file size:

1.28 GB