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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: '[0.3839279]' as a scalar of type double
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp>
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in <listcomp>
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2116, in cast_array_to_feature
                  return array_cast(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1963, in array_cast
                  return array.cast(pa_type)
                File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Failed to parse string: '[0.3839279]' as a scalar of type double
              
              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 1524, 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 1099, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, 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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time
float64
id
string
x
float64
edge
string
speed
float64
space_headway
float64
leader_id
string
target_accel_with_noise_no_failsafe
float64
realized_accel
float64
distance_traveled
float64
follower_id
string
fuel_consumption
float64
shock_time
int64
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0.117532
0.116368
25.360492
idm_21
0.197322
0
9.2
idm_0
25.793642
bottom
4.331501
6.894439
idm_1
0.114793
0.113657
25.793642
idm_21
0.197034
0
9.3
idm_0
26.228574
bottom
4.349324
6.893215
idm_1
0.180014
0.178232
26.228574
idm_21
0.203154
0
9.4
idm_0
26.665108
bottom
4.365342
6.890537
idm_1
0.161787
0.160185
26.665108
idm_21
0.201404
0
9.5
idm_0
27.10265
bottom
4.375414
6.888749
idm_1
0.101723
0.100715
27.10265
idm_21
0.195672
0
9.6
idm_0
27.541261
bottom
4.386115
6.886692
idm_1
0.108078
0.107008
27.541261
idm_21
0.196247
0
9.7
idm_0
27.980968
bottom
4.397065
6.884115
idm_1
0.110602
0.109507
27.980968
idm_21
0.196458
0
9.8
idm_0
28.421239
bottom
4.402713
6.880825
idm_1
0.057037
0.056472
28.421239
idm_21
0.191315
0
9.9
idm_0
28.86293
bottom
4.416909
6.877691
idm_1
0.143385
0.141965
28.86293
idm_21
0.199553
0
End of preview.

All the experiment data related to the CARL: Congestion-Aware Reinforcement Learning for Imitation-based Perturbations in Mixed Traffic Control paper.

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