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Datasets:
continuallearning
/
test_filtered_fixed

Tasks:
Robotics
Modalities:
Tabular
Time-series
Video
Formats:
parquet
Size:
< 1K
Tags:
LeRobot
continual-learning
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
Community
Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
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
episode_index: int64
data/chunk_index: int64
data/file_index: int64
dataset_from_index: int64
dataset_to_index: int64
videos/observation.images.primary/chunk_index: int64
videos/observation.images.primary/file_index: int64
videos/observation.images.primary/from_timestamp: double
videos/observation.images.primary/to_timestamp: double
videos/observation.images.wrist/chunk_index: int64
videos/observation.images.wrist/file_index: int64
videos/observation.images.wrist/from_timestamp: double
videos/observation.images.wrist/to_timestamp: double
tasks: list<element: string>
  child 0, element: string
length: int64
stats/observation.images.primary/min: list<element: list<element: list<element: double>>>
  child 0, element: list<element: list<element: double>>
      child 0, element: list<element: double>
          child 0, element: double
stats/observation.images.primary/max: list<element: list<element: list<element: double>>>
  child 0, element: list<element: list<element: double>>
      child 0, element: list<element: double>
          child 0, element: double
stats/observation.images.primary/mean: list<element: list<element: list<element: double>>>
  child 0, element: list<element: list<element: double>>
      child 0, element: list<element: double>
          child 0, element: double
stats/observation.images.primary/std: list<element: list<element: list<element: double>>>
  child 0, element: list<element: list<element: double>>
      child 0, element: list<element: double>
        
...
tats/frame_index/max: list<element: int64>
  child 0, element: int64
stats/frame_index/mean: list<element: double>
  child 0, element: double
stats/frame_index/std: list<element: double>
  child 0, element: double
stats/frame_index/count: list<element: int64>
  child 0, element: int64
stats/episode_index/min: list<element: int64>
  child 0, element: int64
stats/episode_index/max: list<element: int64>
  child 0, element: int64
stats/episode_index/mean: list<element: double>
  child 0, element: double
stats/episode_index/std: list<element: double>
  child 0, element: double
stats/episode_index/count: list<element: int64>
  child 0, element: int64
stats/index/min: list<element: int64>
  child 0, element: int64
stats/index/max: list<element: int64>
  child 0, element: int64
stats/index/mean: list<element: double>
  child 0, element: double
stats/index/std: list<element: double>
  child 0, element: double
stats/index/count: list<element: int64>
  child 0, element: int64
stats/task_index/min: list<element: int64>
  child 0, element: int64
stats/task_index/max: list<element: int64>
  child 0, element: int64
stats/task_index/mean: list<element: double>
  child 0, element: double
stats/task_index/std: list<element: double>
  child 0, element: double
stats/task_index/count: list<element: int64>
  child 0, element: int64
meta/episodes/chunk_index: int64
meta/episodes/file_index: int64
-- schema metadata --
huggingface: '{"info": {"features": {"episode_index": {"dtype": "int64", ' + 8256
to
{'observation.state.cartesian': List(Value('float32')), 'observation.state.gripper': Value('float32'), 'observation.state.joints': List(Value('float32')), 'observation.state.target': List(Value('float32')), 'observation.state': List(Value('float32')), 'action': List(Value('float32')), 'timestamp': Value('float32'), 'frame_index': Value('int64'), 'episode_index': Value('int64'), 'index': Value('int64'), 'task_index': Value('int64')}
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 2567, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2102, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2125, 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 479, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 380, 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/parquet/parquet.py", line 209, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 147, 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
              episode_index: int64
              data/chunk_index: int64
              data/file_index: int64
              dataset_from_index: int64
              dataset_to_index: int64
              videos/observation.images.primary/chunk_index: int64
              videos/observation.images.primary/file_index: int64
              videos/observation.images.primary/from_timestamp: double
              videos/observation.images.primary/to_timestamp: double
              videos/observation.images.wrist/chunk_index: int64
              videos/observation.images.wrist/file_index: int64
              videos/observation.images.wrist/from_timestamp: double
              videos/observation.images.wrist/to_timestamp: double
              tasks: list<element: string>
                child 0, element: string
              length: int64
              stats/observation.images.primary/min: list<element: list<element: list<element: double>>>
                child 0, element: list<element: list<element: double>>
                    child 0, element: list<element: double>
                        child 0, element: double
              stats/observation.images.primary/max: list<element: list<element: list<element: double>>>
                child 0, element: list<element: list<element: double>>
                    child 0, element: list<element: double>
                        child 0, element: double
              stats/observation.images.primary/mean: list<element: list<element: list<element: double>>>
                child 0, element: list<element: list<element: double>>
                    child 0, element: list<element: double>
                        child 0, element: double
              stats/observation.images.primary/std: list<element: list<element: list<element: double>>>
                child 0, element: list<element: list<element: double>>
                    child 0, element: list<element: double>
                      
              ...
              tats/frame_index/max: list<element: int64>
                child 0, element: int64
              stats/frame_index/mean: list<element: double>
                child 0, element: double
              stats/frame_index/std: list<element: double>
                child 0, element: double
              stats/frame_index/count: list<element: int64>
                child 0, element: int64
              stats/episode_index/min: list<element: int64>
                child 0, element: int64
              stats/episode_index/max: list<element: int64>
                child 0, element: int64
              stats/episode_index/mean: list<element: double>
                child 0, element: double
              stats/episode_index/std: list<element: double>
                child 0, element: double
              stats/episode_index/count: list<element: int64>
                child 0, element: int64
              stats/index/min: list<element: int64>
                child 0, element: int64
              stats/index/max: list<element: int64>
                child 0, element: int64
              stats/index/mean: list<element: double>
                child 0, element: double
              stats/index/std: list<element: double>
                child 0, element: double
              stats/index/count: list<element: int64>
                child 0, element: int64
              stats/task_index/min: list<element: int64>
                child 0, element: int64
              stats/task_index/max: list<element: int64>
                child 0, element: int64
              stats/task_index/mean: list<element: double>
                child 0, element: double
              stats/task_index/std: list<element: double>
                child 0, element: double
              stats/task_index/count: list<element: int64>
                child 0, element: int64
              meta/episodes/chunk_index: int64
              meta/episodes/file_index: int64
              -- schema metadata --
              huggingface: '{"info": {"features": {"episode_index": {"dtype": "int64", ' + 8256
              to
              {'observation.state.cartesian': List(Value('float32')), 'observation.state.gripper': Value('float32'), 'observation.state.joints': List(Value('float32')), 'observation.state.target': List(Value('float32')), 'observation.state': List(Value('float32')), 'action': List(Value('float32')), 'timestamp': Value('float32'), 'frame_index': Value('int64'), 'episode_index': Value('int64'), 'index': Value('int64'), 'task_index': Value('int64')}
              because column names don't match

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test_filtered

Task: "pick the lego block." Type: training (filtered) Robot: Franka FR3 Cameras: observation.images.primary, observation.images.wrist (video, 256x256) @ 15 FPS

Statistics

Metric Value
Episodes 1
Total frames 37
Avg frames/episode 37
FPS 15
Format LeRobot v3.0

Features

Feature Type Shape
observation.images.primary video [256, 256, 3]
observation.images.wrist video [256, 256, 3]
observation.state.cartesian float32 [6]
observation.state.gripper float32 [1]
observation.state.joints float32 [7]
observation.state.target float32 [6]
observation.state float32 [20]
action float32 [7]
timestamp float32 [1]
frame_index int64 [1]
episode_index int64 [1]
index int64 [1]
task_index int64 [1]
Downloads last month
11
Size of downloaded dataset files:
77.4 kB
Size of the auto-converted Parquet files:
77.4 kB
Number of rows:
39