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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: 'relocalization_started' as a scalar of type double
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2255, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, 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 2095, in cast_array_to_feature
                  return array_cast(
                         ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1806, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1958, in array_cast
                  return array.cast(pa_type)
                         ^^^^^^^^^^^^^^^^^^^
                File "pyarrow/array.pxi", line 1135, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.12/site-packages/pyarrow/compute.py", line 412, in cast
                  return call_function("cast", [arr], options, memory_pool)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Failed to parse string: 'relocalization_started' 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 1348, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1832, 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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episode_id
int64
step
int64
t
float64
next_t
float64
state_x
float64
state_y
float64
state_yaw
float64
state_goal_dist
float64
state_goal_bearing
float64
state_odom_v
float64
state_odom_w
float64
state_imu_ax
float64
state_imu_ay
float64
state_imu_az
float64
state_imu_gx
float64
state_imu_gy
float64
state_imu_gz
float64
state_scan
string
state_scan_min
float64
state_scan_mean
float64
state_scan_std
float64
action_v
float64
action_w
float64
reward
float64
reward_goal
float64
reward_collision
float64
reward_progress
float64
reward_time
float64
reward_smooth
float64
reward_clearance
float64
reward_heading
float64
reward_stuck
float64
next_state_x
float64
next_state_y
float64
next_state_yaw
float64
next_state_goal_dist
float64
next_state_goal_bearing
float64
next_state_odom_v
float64
next_state_odom_w
float64
next_state_imu_ax
float64
next_state_imu_ay
float64
next_state_imu_az
float64
next_state_imu_gx
float64
next_state_imu_gy
float64
next_state_imu_gz
float64
next_state_scan
string
next_state_scan_min
float64
next_state_scan_mean
float64
next_state_scan_std
float64
done
int64
done_reason
null
event_active
int64
event_type
null
event_source
null
replan_count_so_far
int64
recovery_count_so_far
int64
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End of preview.

SimianHub specializes in offline simulation data for embodied intelligence reinforcement training. elying on our self-developed automatic simulation platform, we independently generate exclusive training data based on the actual operation pain points and navigation needs of real robots, without any fictional settings.

Our core product is the Failure+Recovery full-process dataset for robot navigation scenarios, covering full-scenario navigation, obstacle avoidance and fault recovery data of AMR, helping to improve the generalization ability of agent training.

In addition to core navigation datasets, we will continue to expand simulation datasets for segmented embodied intelligence scenarios, including industrial robotic arm operation, warehouse logistics robot operation, service robot interaction, special robot operation and other industry scenarios. We also provide personalized data customization and mature agent customization services, fully meeting the diverse R&D needs of the embodied intelligence field.

Simaihub/SimaihubExpertNavigationFoundationPack-Sample Included Files Description This repository contains three sample files generated from real robot simulation data:

sample_**.csv: A partial raw record extracted from a complete simulation task, with full table headers and authentic collected simulation data,including goal-reached and joint=(failure+recovery) in world(bookstore\small_warehouse\hopital\warehouse).

bookstore_trajectory_2.png: Simulation trajectory visualization generated from real navigation data in the Bookstore environment.

warehouse_trajectory_1.png: Simulation trajectory visualization generated from real navigation data in the Warehouse environment.

For the full official simulation dataset, please visit our official product page:

(https://www.opendatabay.com/data/ai-ml/6bebea1c-d9f7-4876-bec3-1d4967453c37)

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