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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
created_at: timestamp[s]
last_updated_at: timestamp[s]
session_name: string
dataset_name: string
robot_url: string
robot_type: string
fps: int64
episode_time_s: double
max_duty: double
teleop_speed: double
vcodec: string
tasks: list<item: string>
  child 0, item: string
mode_family: string
intent_mode: string
task_type: string
episode_definition: string
collection_style: string
observation_state_semantics: string
action_semantics: string
accepted_episode_timestamps: string
raw_backup_timestamps: string
resume_count: int64
num_frames: int64
task_name: string
task_index: int64
duration_s: double
episode_index: int64
to
{'episode_index': Value('int64'), 'mode_family': Value('string'), 'intent_mode': Value('string'), 'task_type': Value('string'), 'episode_definition': Value('string'), 'collection_style': Value('string'), 'task_name': Value('string'), 'task_index': Value('int64'), 'num_frames': Value('int64'), 'duration_s': Value('float64')}
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 289, 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 124, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              created_at: timestamp[s]
              last_updated_at: timestamp[s]
              session_name: string
              dataset_name: string
              robot_url: string
              robot_type: string
              fps: int64
              episode_time_s: double
              max_duty: double
              teleop_speed: double
              vcodec: string
              tasks: list<item: string>
                child 0, item: string
              mode_family: string
              intent_mode: string
              task_type: string
              episode_definition: string
              collection_style: string
              observation_state_semantics: string
              action_semantics: string
              accepted_episode_timestamps: string
              raw_backup_timestamps: string
              resume_count: int64
              num_frames: int64
              task_name: string
              task_index: int64
              duration_s: double
              episode_index: int64
              to
              {'episode_index': Value('int64'), 'mode_family': Value('string'), 'intent_mode': Value('string'), 'task_type': Value('string'), 'episode_definition': Value('string'), 'collection_style': Value('string'), 'task_name': Value('string'), 'task_index': Value('int64'), 'num_frames': Value('int64'), 'duration_s': Value('float64')}
              because column names don't match

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session_20260408_105311

This dataset repo was uploaded from the TurboPi recording stack.

Summary

  • Repo id: omunaman/session_20260408_105311
  • Dataset root: turbopi_intent_cnn
  • Session: session_20260408_105311
  • Accepted episodes: 50
  • Accepted frames: 6668
  • Approx duration at 10 Hz: 666.8s
  • Directions seen: unknown
  • Raw backup: not included

Layout

  • episodes/: accepted episode folders for this selected session
  • raw/: optional raw backup for the same session
  • upload_manifest.json: machine-readable upload metadata

Notes

This repo contains one selected TurboPi session only. The repo name intentionally matches the session folder name.

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