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Datasets:
techshare-corp
/
pika_data_example

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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
instructions: list<item: string>
  child 0, item: string
distance: double
angle: double
to
{'angle': Value('float64'), 'distance': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              instructions: list<item: string>
                child 0, item: string
              distance: double
              angle: double
              to
              {'angle': Value('float64'), 'distance': Value('float64')}
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, 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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angle
float64
distance
float64
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
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1.67
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1.67
0.096707
1.67
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1.67
0.096707
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1.67
0.096707
1.67
0.096707
1.67
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1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
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1.67
0.096707
1.67
0.096707
1.67
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1.67
0.096707
1.67
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1.67
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1.67
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0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
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1.67
0.096707
1.67
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1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
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1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
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1.67
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1.67
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1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
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1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
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1.67
0.096707
1.67
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1.67
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1.67
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1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
1.67
0.096707
End of preview.

AgileX PiKA data example

Overview

  • PiKAはAgileX Robotics社のデータ収集プロダクトです。
  • 本リポジトリは、Pikaを用いて取得できるデータ形式を確認するためのサンプルを提供します。特定のタスクを想定したものではありません。
  • AgileX Robotics社公式のサンプルデータも参考にしてください。
    • Pika Sense ×2機を両手に持ち試験管を配置するデモが20 episode 収録されています。

Credits

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