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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Mask must be a pyarrow.Array of type boolean
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1608, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 685, in finalize
                  self.write_examples_on_file()
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 572, in write_examples_on_file
                  self.write_batch(batch_examples=batch_examples)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 662, in write_batch
                  self.write_table(pa_table, writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 677, in write_table
                  pa_table = embed_table_storage(pa_table)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in embed_table_storage
                  embed_array_storage(table[name], feature, token_per_repo_id=token_per_repo_id)
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2124, in embed_array_storage
                  return feature.embed_storage(array, token_per_repo_id=token_per_repo_id)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/features/video.py", line 328, in embed_storage
                  storage = pa.StructArray.from_arrays([bytes_array, path_array], ["bytes", "path"], mask=bytes_array.is_null())
                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 4259, in pyarrow.lib.StructArray.from_arrays
                File "pyarrow/array.pxi", line 4929, in pyarrow.lib.c_mask_inverted_from_obj
              TypeError: Mask must be a pyarrow.Array of type boolean
              
              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 1328, 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 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1438, 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 1617, 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
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index
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task_index
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3.1
93
0
93
0
[ 1.7632241249084473, -85.72183990478516, 80, 63.40500259399414, -49.841270446777344, 1.1299434900283813, -16.94382095336914, -99.8982162475586, 72.32050323486328, 40.4422607421875, -49.10866928100586, 3.010033369064331 ]
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3.133333
94
0
94
0
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3.166667
95
0
95
0
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3.2
96
0
96
0
[ 1.7632241249084473, -85.72183990478516, 80.11173248291016, 63.58051681518555, -49.841270446777344, 1.1299434900283813, -14.966292381286621, -99.8982162475586, 72.32050323486328, 37.493858337402344, -50.18315124511719, 3.010033369064331 ]
[ 1.582417607307434, -85.31867980957031, 81.05494689941406, 64.04395294189453, -50.153846740722656, 1.517241358757019, -17.450550079345703, -78.46154022216797, 75.12088012695312, 41.27472686767578, -48.57143020629883, 3.6875 ]
3.233333
97
0
97
0
[ 1.7632241249084473, -85.72183990478516, 80.11173248291016, 63.66827392578125, -49.841270446777344, 1.1299434900283813, -13.707864761352539, -99.8982162475586, 72.32050323486328, 36.412776947021484, -50.52503204345703, 3.2608695030212402 ]
[ 1.582417607307434, -85.31867980957031, 81.05494689941406, 64.04395294189453, -50.153846740722656, 1.517241358757019, -17.098901748657227, -78.46154022216797, 75.12088012695312, 40.30769348144531, -49.010990142822266, 3.6875 ]
3.266667
98
0
98
0
[ 1.7632241249084473, -85.72183990478516, 80.11173248291016, 63.66827392578125, -49.841270446777344, 1.1299434900283813, -12.17977523803711, -99.8982162475586, 72.32050323486328, 35.0368537902832, -50.96459197998047, 3.7625417709350586 ]
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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": "bi_so_follower",
    "total_episodes": 30,
    "total_frames": 33845,
    "total_tasks": 1,
    "chunks_size": 1000,
    "data_files_size_in_mb": 100,
    "video_files_size_in_mb": 200,
    "fps": 30,
    "splits": {
        "train": "0:30"
    },
    "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
    "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
    "features": {
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                "left_shoulder_lift.pos",
                "left_elbow_flex.pos",
                "left_wrist_flex.pos",
                "left_wrist_roll.pos",
                "left_gripper.pos",
                "right_shoulder_pan.pos",
                "right_shoulder_lift.pos",
                "right_elbow_flex.pos",
                "right_wrist_flex.pos",
                "right_wrist_roll.pos",
                "right_gripper.pos"
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                "left_shoulder_lift.pos",
                "left_elbow_flex.pos",
                "left_wrist_flex.pos",
                "left_wrist_roll.pos",
                "left_gripper.pos",
                "right_shoulder_pan.pos",
                "right_shoulder_lift.pos",
                "right_elbow_flex.pos",
                "right_wrist_flex.pos",
                "right_wrist_roll.pos",
                "right_gripper.pos"
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        "observation.images.left_top": {
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                "video.width": 1280,
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                "video.is_depth_map": false,
                "video.fps": 30,
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        "observation.images.left_wrist": {
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            "info": {
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        "observation.images.right_wrist": {
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            "names": [
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        "timestamp": {
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        "frame_index": {
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        "episode_index": {
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        "index": {
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        "task_index": {
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        }
    }
}

Citation

BibTeX:

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