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Datasets:
xymit
/
record-test

Tasks:
Robotics
Modalities:
Video
Tags:
LeRobot
License:
Dataset card Data Studio Files
xet
 Community
1
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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
action: fixed_size_list<element: float>[6]
  child 0, element: float
observation.state: fixed_size_list<element: float>[6]
  child 0, element: float
observation.images.image_top: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
observation.images.image_wrist: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
observation.images.image_top_dep: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
timestamp: float
frame_index: int64
episode_index: int64
index: int64
task_index: int64
-- schema metadata --
huggingface: '{"info": {"features": {"action": {"feature": {"dtype": "flo' + 619
to
{'action': List(Value('float32'), length=6), 'observation.state': List(Value('float32'), length=6), '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/job_runners/config/parquet_and_info.py", line 1404, in compute_config_parquet_and_info_response
                  fill_builder_info(builder, hf_endpoint=hf_endpoint, hf_token=hf_token, validate=validate)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 596, in fill_builder_info
                  num_examples_and_sizes: list[tuple[int, int]] = thread_map(
                                                                  ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/tqdm/contrib/concurrent.py", line 69, in thread_map
                  return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/tqdm/contrib/concurrent.py", line 51, in _executor_map
                  return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/tqdm/std.py", line 1169, in __iter__
                  for obj in iterable:
                             ^^^^^^^^
                File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 619, in result_iterator
                  yield _result_or_cancel(fs.pop())
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 317, in _result_or_cancel
                  return fut.result(timeout)
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 456, in result
                  return self.__get_result()
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 401, in __get_result
                  raise self._exception
                File "/usr/local/lib/python3.12/concurrent/futures/thread.py", line 59, in run
                  result = self.fn(*self.args, **self.kwargs)
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 468, in retry_validate_get_num_examples_and_size
                  validate(pf)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 534, in validate
                  raise TooBigRowGroupsError(
              worker.job_runners.config.parquet_and_info.TooBigRowGroupsError: Parquet file has too big row groups. First row group has 664290866 which exceeds the limit of 300000000
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
                  for _, table in generator:
                                  ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 691, in wrapped
                  for item in generator(*args, **kwargs):
                              ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 106, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 73, 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
              action: fixed_size_list<element: float>[6]
                child 0, element: float
              observation.state: fixed_size_list<element: float>[6]
                child 0, element: float
              observation.images.image_top: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              observation.images.image_wrist: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              observation.images.image_top_dep: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              timestamp: float
              frame_index: int64
              episode_index: int64
              index: int64
              task_index: int64
              -- schema metadata --
              huggingface: '{"info": {"features": {"action": {"feature": {"dtype": "flo' + 619
              to
              {'action': List(Value('float32'), length=6), 'observation.state': List(Value('float32'), length=6), 'timestamp': Value('float32'), 'frame_index': Value('int64'), 'episode_index': Value('int64'), 'index': Value('int64'), 'task_index': Value('int64')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1427, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 993, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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action
list
observation.state
list
timestamp
float32
frame_index
int64
episode_index
int64
index
int64
task_index
int64
[ 23.26565170288086, -98.39730072021484, 92.64972686767578, 72.38385009765625, -4.779315948486328, 0.48939642310142517 ]
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[ 23.090055465698242, -98.05743408203125, 94.89749145507812, 72.2833251953125, -4.6724090576171875, 0.8643617033958435 ]
3.3
99
0
99
0
End of preview.

This dataset was created using LeRobot.

Dataset Structure

meta/info.json:

{
    "codebase_version": "v3.0",
    "robot_type": "so101_follower_dora",
    "total_episodes": 1,
    "total_frames": 675,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 500,
    "fps": 30,
    "splits": {
        "train": "0:1"
    },
    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
    "video_path": null,
    "features": {
        "action": {
            "dtype": "float32",
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ],
            "shape": [
                6
            ]
        },
        "observation.state": {
            "dtype": "float32",
            "names": [
                "shoulder_pan.pos",
                "shoulder_lift.pos",
                "elbow_flex.pos",
                "wrist_flex.pos",
                "wrist_roll.pos",
                "gripper.pos"
            ],
            "shape": [
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        },
        "observation.images.image_top": {
            "dtype": "image",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ]
        },
        "observation.images.image_wrist": {
            "dtype": "image",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
                "width",
                "channels"
            ]
        },
        "observation.images.image_top_dep": {
            "dtype": "image",
            "shape": [
                480,
                640,
                3
            ],
            "names": [
                "height",
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                "channels"
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        },
        "timestamp": {
            "dtype": "float32",
            "shape": [
                1
            ],
            "names": null
        },
        "frame_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "episode_index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "index": {
            "dtype": "int64",
            "shape": [
                1
            ],
            "names": null
        },
        "task_index": {
            "dtype": "int64",
            "shape": [
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            ],
            "names": null
        }
    }
}

Citation

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