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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
run_id: string
kind: string
storage: string
file: string
telemetry: string
stream_start_ts: double
samples: int64
packets: int64
started_at: double
finished_at: double
notes: string
target_ranges: list<item: double>
child 0, item: double
sweep_degrees: double
sweep_speed_dps: double
start_wrist_angle: double
robot_id: string
host: string
label: string
grasp_axis_wrist_angle: double
frames: int64
image_format: string
width: int64
height: int64
finger_angles: list<item: int64>
child 0, item: int64
wrist_steps: int64
base_wrist_angle: double
finger_angle: double
t: double
target_range_m: double
finger_pressure: double
laser_rangefinder: double
wrist_angle: double
to
{'t': Value('float64'), 'wrist_angle': Value('float64'), 'finger_angle': Value('float64'), 'finger_pressure': Value('float64'), 'laser_rangefinder': Value('float64'), 'target_range_m': Value('float64'), 'start_wrist_angle': 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 1827, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
run_id: string
kind: string
storage: string
file: string
telemetry: string
stream_start_ts: double
samples: int64
packets: int64
started_at: double
finished_at: double
notes: string
target_ranges: list<item: double>
child 0, item: double
sweep_degrees: double
sweep_speed_dps: double
start_wrist_angle: double
robot_id: string
host: string
label: string
grasp_axis_wrist_angle: double
frames: int64
image_format: string
width: int64
height: int64
finger_angles: list<item: int64>
child 0, item: int64
wrist_steps: int64
base_wrist_angle: double
finger_angle: double
t: double
target_range_m: double
finger_pressure: double
laser_rangefinder: double
wrist_angle: double
to
{'t': Value('float64'), 'wrist_angle': Value('float64'), 'finger_angle': Value('float64'), 'finger_pressure': Value('float64'), 'laser_rangefinder': Value('float64'), 'target_range_m': Value('float64'), 'start_wrist_angle': 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 1694, 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 1880, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
t float64 | wrist_angle float64 | finger_angle float64 | finger_pressure float64 | laser_rangefinder float64 | target_range_m float64 | start_wrist_angle float64 |
|---|---|---|---|---|---|---|
1,786,979,611.415352 | 550.546875 | -89.833157 | 0.001756 | 0.125 | 0.12 | 550.546875 |
1,786,979,611.465433 | 550.546875 | -89.833157 | 0.001756 | 0.127 | 0.12 | 550.546875 |
1,786,979,611.51605 | 550.810547 | -89.833157 | 0.001757 | 0.127 | 0.12 | 550.546875 |
1,786,979,611.566388 | 551.601563 | -89.833157 | 0.001757 | 0.128 | 0.12 | 550.546875 |
1,786,979,611.616515 | 552.216797 | -89.833157 | 0.001758 | 0.128 | 0.12 | 550.546875 |
1,786,979,611.666967 | 552.919922 | -89.833157 | 0.001754 | 0.125 | 0.12 | 550.546875 |
1,786,979,611.717236 | 553.623047 | -89.833157 | 0.001756 | 0.125 | 0.12 | 550.546875 |
1,786,979,611.76768 | 554.326172 | -89.833157 | 0.001753 | 0.128 | 0.12 | 550.546875 |
1,786,979,611.818742 | 555.029297 | -89.833157 | 0.001746 | 0.128 | 0.12 | 550.546875 |
1,786,979,611.869046 | 555.644531 | -89.833157 | 0.00175 | 0.126 | 0.12 | 550.546875 |
1,786,979,611.919462 | 555.644531 | -89.833157 | 0.00175 | 0.126 | 0.12 | 550.546875 |
1,786,979,611.969823 | 556.962891 | -89.833157 | 0.001749 | 0.127 | 0.12 | 550.546875 |
1,786,979,612.020279 | 557.578125 | -89.833157 | 0.001756 | 0.127 | 0.12 | 550.546875 |
1,786,979,612.070825 | 558.28125 | -89.833157 | 0.001757 | 0.125 | 0.12 | 550.546875 |
1,786,979,612.121393 | 558.984375 | -89.833157 | 0.001761 | 0.125 | 0.12 | 550.546875 |
1,786,979,612.171749 | 559.599609 | -89.833157 | 0.001757 | 0.126 | 0.12 | 550.546875 |
1,786,979,612.221946 | 560.302734 | -89.833157 | 0.001745 | 0.126 | 0.12 | 550.546875 |
1,786,979,612.272019 | 560.917969 | -89.833157 | 0.00174 | 0.123 | 0.12 | 550.546875 |
1,786,979,612.322276 | 561.621094 | -89.833157 | 0.001746 | 0.123 | 0.12 | 550.546875 |
1,786,979,612.37236 | 562.324219 | -89.833157 | 0.001745 | 0.124 | 0.12 | 550.546875 |
1,786,979,612.422646 | 563.027344 | -89.833157 | 0.001753 | 0.123 | 0.12 | 550.546875 |
1,786,979,612.472796 | 563.642578 | -89.833157 | 0.001755 | 0.123 | 0.12 | 550.546875 |
1,786,979,612.523877 | 564.345703 | -89.833157 | 0.001752 | 0.124 | 0.12 | 550.546875 |
1,786,979,612.574284 | 564.960938 | -89.833157 | 0.001754 | 0.124 | 0.12 | 550.546875 |
1,786,979,612.625032 | 565.576172 | -89.833157 | 0.001751 | 0.124 | 0.12 | 550.546875 |
1,786,979,612.67554 | 566.279297 | -89.833157 | 0.001749 | 0.124 | 0.12 | 550.546875 |
1,786,979,612.725967 | 566.982422 | -89.833157 | 0.001756 | 0.126 | 0.12 | 550.546875 |
1,786,979,612.776754 | 567.685547 | -89.833157 | 0.001757 | 0.126 | 0.12 | 550.546875 |
1,786,979,612.826904 | 568.300781 | -89.833157 | 0.001762 | 0.128 | 0.12 | 550.546875 |
1,786,979,612.877676 | 568.916016 | -89.833157 | 0.001757 | 0.128 | 0.12 | 550.546875 |
1,786,979,612.928882 | 569.707031 | -89.833157 | 0.001753 | 0.121 | 0.12 | 550.546875 |
1,786,979,612.979067 | 570.322266 | -89.833157 | 0.001751 | 0.121 | 0.12 | 550.546875 |
1,786,979,613.029906 | 571.025391 | -89.833157 | 0.001749 | 0.124 | 0.12 | 550.546875 |
1,786,979,613.080084 | 571.640625 | -89.833157 | 0.001752 | 0.124 | 0.12 | 550.546875 |
1,786,979,613.130278 | 572.34375 | -89.833157 | 0.00175 | 0.123 | 0.12 | 550.546875 |
1,786,979,613.180865 | 573.046875 | -89.833157 | 0.001753 | 0.123 | 0.12 | 550.546875 |
1,786,979,613.233057 | 573.662109 | -89.833157 | 0.00175 | 0.123 | 0.12 | 550.546875 |
1,786,979,613.283847 | 574.365234 | -89.833157 | 0.001753 | 0.123 | 0.12 | 550.546875 |
1,786,979,613.334223 | 574.980469 | -89.833157 | 0.001751 | 0.124 | 0.12 | 550.546875 |
1,786,979,613.385229 | 575.683594 | -89.833157 | 0.001749 | 0.124 | 0.12 | 550.546875 |
1,786,979,613.435759 | 576.386719 | -89.833157 | 0.001751 | 0.123 | 0.12 | 550.546875 |
1,786,979,613.485859 | 577.001953 | -89.833157 | 0.001749 | 0.123 | 0.12 | 550.546875 |
1,786,979,613.536918 | 577.617188 | -89.833157 | 0.001752 | 0.125 | 0.12 | 550.546875 |
1,786,979,613.587108 | 578.320313 | -89.833157 | 0.00175 | 0.125 | 0.12 | 550.546875 |
1,786,979,613.638053 | 578.935547 | -89.833157 | 0.001752 | 0.124 | 0.12 | 550.546875 |
1,786,979,613.68832 | 579.638672 | -89.833157 | 0.001754 | 0.124 | 0.12 | 550.546875 |
1,786,979,613.738587 | 580.957031 | -89.833157 | 0.001749 | 0.125 | 0.12 | 550.546875 |
1,786,979,613.788803 | 581.660156 | -89.833157 | 0.001741 | 0.122 | 0.12 | 550.546875 |
1,786,979,613.839097 | 582.363281 | -89.833157 | 0.001734 | 0.122 | 0.12 | 550.546875 |
1,786,979,613.889484 | 582.978516 | -89.833157 | 0.001718 | 0.123 | 0.12 | 550.546875 |
1,786,979,613.940113 | 583.769531 | -89.833157 | 0.00171 | 0.123 | 0.12 | 550.546875 |
1,786,979,613.990531 | 584.384766 | -89.833157 | 0.001703 | 0.122 | 0.12 | 550.546875 |
1,786,979,614.040927 | 585 | -89.833157 | 0.001707 | 0.122 | 0.12 | 550.546875 |
1,786,979,614.091482 | 585.703125 | -89.833157 | 0.001705 | 0.122 | 0.12 | 550.546875 |
1,786,979,614.141997 | 586.40625 | -89.833157 | 0.001728 | 0.122 | 0.12 | 550.546875 |
1,786,979,614.19211 | 587.021484 | -89.833157 | 0.001745 | 0.123 | 0.12 | 550.546875 |
1,786,979,614.242998 | 587.724609 | -89.833157 | 0.001761 | 0.123 | 0.12 | 550.546875 |
1,786,979,614.293551 | 588.339844 | -89.833157 | 0.001773 | 0.124 | 0.12 | 550.546875 |
1,786,979,614.345138 | 589.042969 | -89.833157 | 0.001786 | 0.124 | 0.12 | 550.546875 |
1,786,979,614.395242 | 589.658203 | -89.833157 | 0.001794 | 0.124 | 0.12 | 550.546875 |
1,786,979,614.445641 | 590.361328 | -89.833157 | 0.001801 | 0.124 | 0.12 | 550.546875 |
1,786,979,614.495786 | 590.976563 | -89.833157 | 0.001802 | 0.122 | 0.12 | 550.546875 |
1,786,979,614.54649 | 591.591797 | -89.833157 | 0.001798 | 0.122 | 0.12 | 550.546875 |
1,786,979,614.596722 | 592.382813 | -89.833157 | 0.001795 | 0.126 | 0.12 | 550.546875 |
1,786,979,614.647266 | 593.085938 | -89.833157 | 0.001794 | 0.126 | 0.12 | 550.546875 |
1,786,979,614.697715 | 593.701172 | -89.833157 | 0.001788 | 0.121 | 0.12 | 550.546875 |
1,786,979,614.74797 | 594.404297 | -89.833157 | 0.001784 | 0.121 | 0.12 | 550.546875 |
1,786,979,614.798559 | 595.107422 | -89.833157 | 0.001785 | 0.124 | 0.12 | 550.546875 |
1,786,979,614.84998 | 595.722656 | -89.833157 | 0.001782 | 0.124 | 0.12 | 550.546875 |
1,786,979,614.900805 | 596.337891 | -89.833157 | 0.001779 | 0.123 | 0.12 | 550.546875 |
1,786,979,614.950965 | 597.568359 | -89.833157 | 0.001777 | 0.122 | 0.12 | 550.546875 |
1,786,979,615.001485 | 598.271484 | -89.833157 | 0.001776 | 0.122 | 0.12 | 550.546875 |
1,786,979,615.051832 | 598.974609 | -89.833157 | 0.001775 | 0.122 | 0.12 | 550.546875 |
1,786,979,615.102422 | 599.589844 | -89.833157 | 0.001775 | 0.122 | 0.12 | 550.546875 |
1,786,979,615.15354 | 600.292969 | -89.833157 | 0.001774 | 0.125 | 0.12 | 550.546875 |
1,786,979,615.204381 | 600.996094 | -89.833157 | 0.001774 | 0.125 | 0.12 | 550.546875 |
1,786,979,615.254895 | 601.699219 | -89.833157 | 0.001778 | 0.125 | 0.12 | 550.546875 |
1,786,979,615.305095 | 602.314453 | -89.833157 | 0.001765 | 0.125 | 0.12 | 550.546875 |
1,786,979,615.356032 | 603.017578 | -89.833157 | 0.001763 | 0.122 | 0.12 | 550.546875 |
1,786,979,615.407092 | 603.632813 | -89.833157 | 0.001763 | 0.122 | 0.12 | 550.546875 |
1,786,979,615.45735 | 604.335938 | -89.833157 | 0.001766 | 0.128 | 0.12 | 550.546875 |
1,786,979,615.507891 | 605.039063 | -89.833157 | 0.001768 | 0.128 | 0.12 | 550.546875 |
1,786,979,615.558132 | 605.654297 | -89.833157 | 0.001769 | 0.126 | 0.12 | 550.546875 |
1,786,979,615.608396 | 606.357422 | -89.833157 | 0.001771 | 0.126 | 0.12 | 550.546875 |
1,786,979,615.658628 | 606.972656 | -89.833157 | 0.001771 | 0.122 | 0.12 | 550.546875 |
1,786,979,615.708797 | 607.675781 | -89.833157 | 0.001772 | 0.122 | 0.12 | 550.546875 |
1,786,979,615.759102 | 608.291016 | -89.833157 | 0.001772 | 0.124 | 0.12 | 550.546875 |
1,786,979,615.810168 | 608.994141 | -89.833157 | 0.001769 | 0.124 | 0.12 | 550.546875 |
1,786,979,615.860592 | 609.697266 | -89.833157 | 0.00177 | 0.123 | 0.12 | 550.546875 |
1,786,979,615.910922 | 610.224609 | -89.833157 | 0.001767 | 0.123 | 0.12 | 550.546875 |
1,786,979,615.961322 | 611.630859 | -89.833157 | 0.001763 | 0.123 | 0.12 | 550.546875 |
1,786,979,616.011395 | 612.333984 | -89.833157 | 0.001766 | 0.124 | 0.12 | 550.546875 |
1,786,979,616.061811 | 613.125 | -89.833157 | 0.001765 | 0.124 | 0.12 | 550.546875 |
1,786,979,616.111932 | 613.652344 | -89.833157 | 0.001763 | 0.125 | 0.12 | 550.546875 |
1,786,979,616.162449 | 614.267578 | -89.833157 | 0.001758 | 0.125 | 0.12 | 550.546875 |
1,786,979,616.212808 | 614.882813 | -89.833157 | 0.001762 | 0.126 | 0.12 | 550.546875 |
1,786,979,616.263291 | 615.585938 | -89.833157 | 0.001761 | 0.126 | 0.12 | 550.546875 |
1,786,979,616.313789 | 616.289063 | -89.833157 | 0.001765 | 0.125 | 0.12 | 550.546875 |
1,786,979,616.36415 | 616.904297 | -89.833157 | 0.001763 | 0.125 | 0.12 | 550.546875 |
1,786,979,616.414678 | 617.695313 | -89.833157 | 0.001762 | 0.121 | 0.12 | 550.546875 |
End of preview.
plates-macbook
Raw plate captures for the stringman visual servoing dataset: what the gripper camera saw, stored exactly as it came off the robot. Nothing here is matted, keyed or composited.
| kind | runs | plates |
|---|---|---|
| fingerplates | 1 | 1512 |
| floorplates | 6 | 9535 |
| objectplates | 26 | 40307 |
Each run is a parquet file of encoded frames, or a .ts video plus a .jsonl telemetry
track, described by one line of manifest.jsonl. Read it with
nf_robot.ml.visual_servoing.plates, and pull it into a local collection with:
python -m nf_robot.ml.visual_servoing.merge_plates --into plates --from naavox/plates-macbook
Mattes and synthetic frames are derived from these by finger_matte.py, object_matte.py
and synth_frames.py, whose thresholds are still being tuned - so they are rebuilt from
this, never stored alongside it.
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