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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
frames: int64
image_format: string
width: int64
height: int64
started_at: double
finished_at: double
notes: string
finger_angles: list<item: int64>
child 0, item: int64
wrist_steps: int64
base_wrist_angle: double
robot_id: string
host: string
telemetry: string
stream_start_ts: double
samples: int64
packets: int64
target_ranges: list<item: double>
child 0, item: double
sweep_degrees: double
sweep_speed_dps: double
start_wrist_angle: double
label: string
grasp_axis_wrist_angle: double
finger_angle: double
finger_pressure: double
wrist_angle: double
t: double
laser_rangefinder: double
target_range_m: 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
frames: int64
image_format: string
width: int64
height: int64
started_at: double
finished_at: double
notes: string
finger_angles: list<item: int64>
child 0, item: int64
wrist_steps: int64
base_wrist_angle: double
robot_id: string
host: string
telemetry: string
stream_start_ts: double
samples: int64
packets: int64
target_ranges: list<item: double>
child 0, item: double
sweep_degrees: double
sweep_speed_dps: double
start_wrist_angle: double
label: string
grasp_axis_wrist_angle: double
finger_angle: double
finger_pressure: double
wrist_angle: double
t: double
laser_rangefinder: double
target_range_m: 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 |
|---|---|---|---|---|---|---|
1,786,891,285.399958 | 497.460938 | -89.833157 | 0.000216 | 0.116 | 0.12 | 497.460938 |
1,786,891,285.451819 | 497.460938 | -89.833157 | 0.000216 | 0.119 | 0.12 | 497.460938 |
1,786,891,285.50665 | 497.460938 | -89.833157 | 0.000215 | 0.119 | 0.12 | 497.460938 |
1,786,891,285.557142 | 497.8125 | -89.833157 | 0.000215 | 0.118 | 0.12 | 497.460938 |
1,786,891,285.607473 | 498.955078 | -89.833157 | 0.000212 | 0.118 | 0.12 | 497.460938 |
1,786,891,285.657744 | 499.570313 | -89.833157 | 0.000211 | 0.121 | 0.12 | 497.460938 |
1,786,891,285.708231 | 500.009766 | -89.833157 | 0.00021 | 0.121 | 0.12 | 497.460938 |
1,786,891,285.758838 | 500.537109 | -89.833157 | 0.000209 | 0.121 | 0.12 | 497.460938 |
1,786,891,285.810359 | 501.679688 | -89.833157 | 0.000209 | 0.121 | 0.12 | 497.460938 |
1,786,891,285.860832 | 502.207031 | -89.833157 | 0.000208 | 0.121 | 0.12 | 497.460938 |
1,786,891,285.912094 | 502.734375 | -89.833157 | 0.000208 | 0.121 | 0.12 | 497.460938 |
1,786,891,285.963818 | 503.261719 | -89.833157 | 0.000207 | 0.12 | 0.12 | 497.460938 |
1,786,891,286.015154 | 504.404297 | -89.833157 | 0.000207 | 0.12 | 0.12 | 497.460938 |
1,786,891,286.065748 | 504.931641 | -89.833157 | 0.000207 | 0.123 | 0.12 | 497.460938 |
1,786,891,286.118054 | 505.546875 | -89.833157 | 0.000207 | 0.123 | 0.12 | 497.460938 |
1,786,891,286.168993 | 506.074219 | -89.833157 | 0.000207 | 0.121 | 0.12 | 497.460938 |
1,786,891,286.219395 | 506.601563 | -89.833157 | 0.000207 | 0.121 | 0.12 | 497.460938 |
1,786,891,286.269642 | 507.744141 | -89.833157 | 0.000206 | 0.125 | 0.12 | 497.460938 |
1,786,891,286.320317 | 508.271484 | -89.833157 | 0.000207 | 0.125 | 0.12 | 497.460938 |
1,786,891,286.370987 | 508.798828 | -89.833157 | 0.000206 | 0.119 | 0.12 | 497.460938 |
1,786,891,286.422028 | 509.326172 | -89.833157 | 0.000205 | 0.119 | 0.12 | 497.460938 |
1,786,891,286.472742 | 510.380859 | -89.833157 | 0.000205 | 0.118 | 0.12 | 497.460938 |
1,786,891,286.523835 | 510.908203 | -89.833157 | 0.000206 | 0.118 | 0.12 | 497.460938 |
1,786,891,286.574681 | 511.523438 | -89.833157 | 0.000204 | 0.12 | 0.12 | 497.460938 |
1,786,891,286.62569 | 512.578125 | -89.833157 | 0.000202 | 0.119 | 0.12 | 497.460938 |
1,786,891,286.67636 | 513.105469 | -89.833157 | 0.000202 | 0.119 | 0.12 | 497.460938 |
1,786,891,286.730048 | 513.632813 | -89.833157 | 0.000203 | 0.119 | 0.12 | 497.460938 |
1,786,891,286.782132 | 514.072266 | -89.833157 | 0.000204 | 0.119 | 0.12 | 497.460938 |
1,786,891,286.833839 | 515.214844 | -89.833157 | 0.000208 | 0.119 | 0.12 | 497.460938 |
1,786,891,286.884309 | 515.742188 | -89.833157 | 0.000208 | 0.119 | 0.12 | 497.460938 |
1,786,891,286.935609 | 516.357422 | -89.833157 | 0.00021 | 0.121 | 0.12 | 497.460938 |
1,786,891,286.986272 | 516.884766 | -89.833157 | 0.000209 | 0.121 | 0.12 | 497.460938 |
1,786,891,287.036974 | 518.027344 | -89.833157 | 0.000212 | 0.118 | 0.12 | 497.460938 |
1,786,891,287.088055 | 518.554688 | -89.833157 | 0.000212 | 0.118 | 0.12 | 497.460938 |
1,786,891,287.13837 | 519.169922 | -89.833157 | 0.000213 | 0.121 | 0.12 | 497.460938 |
1,786,891,287.189347 | 519.785156 | -89.833157 | 0.000214 | 0.121 | 0.12 | 497.460938 |
1,786,891,287.240161 | 520.839844 | -89.833157 | 0.000215 | 0.116 | 0.12 | 497.460938 |
1,786,891,287.290616 | 521.367188 | -89.833157 | 0.000217 | 0.116 | 0.12 | 497.460938 |
1,786,891,287.341944 | 521.894531 | -89.833157 | 0.000218 | 0.119 | 0.12 | 497.460938 |
1,786,891,287.392678 | 522.509766 | -89.833157 | 0.000216 | 0.119 | 0.12 | 497.460938 |
1,786,891,287.443004 | 523.037109 | -89.833157 | 0.000217 | 0.119 | 0.12 | 497.460938 |
1,786,891,287.493713 | 524.179688 | -89.833157 | 0.000216 | 0.115 | 0.12 | 497.460938 |
1,786,891,287.545003 | 524.707031 | -89.833157 | 0.000216 | 0.121 | 0.12 | 497.460938 |
1,786,891,287.595635 | 525.234375 | -89.833157 | 0.000216 | 0.121 | 0.12 | 497.460938 |
1,786,891,287.649948 | 525.761719 | -89.833157 | 0.000216 | 0.117 | 0.12 | 497.460938 |
1,786,891,287.700982 | 526.904297 | -89.833157 | 0.000214 | 0.117 | 0.12 | 497.460938 |
1,786,891,287.752195 | 527.431641 | -89.833157 | 0.000216 | 0.12 | 0.12 | 497.460938 |
1,786,891,287.802638 | 527.958984 | -89.833157 | 0.000216 | 0.12 | 0.12 | 497.460938 |
1,786,891,287.853461 | 528.574219 | -89.833157 | 0.000217 | 0.116 | 0.12 | 497.460938 |
1,786,891,287.904553 | 529.716797 | -89.833157 | 0.00022 | 0.122 | 0.12 | 497.460938 |
1,786,891,287.955216 | 530.332031 | -89.833157 | 0.00022 | 0.122 | 0.12 | 497.460938 |
1,786,891,288.005837 | 530.332031 | -89.833157 | 0.00022 | 0.122 | 0.12 | 497.460938 |
1,786,891,288.057919 | 531.386719 | -89.833157 | 0.000221 | 0.118 | 0.12 | 497.460938 |
1,786,891,288.109434 | 532.089844 | -89.833157 | 0.000222 | 0.118 | 0.12 | 497.460938 |
1,786,891,288.159984 | 533.144531 | -89.833157 | 0.000223 | 0.119 | 0.12 | 497.460938 |
1,786,891,288.210534 | 533.671875 | -89.833157 | 0.000223 | 0.12 | 0.12 | 497.460938 |
1,786,891,288.262807 | 534.287109 | -89.833157 | 0.000223 | 0.12 | 0.12 | 497.460938 |
1,786,891,288.317133 | 534.814453 | -89.833157 | 0.000223 | 0.12 | 0.12 | 497.460938 |
1,786,891,288.368215 | 535.78125 | -89.833157 | 0.000223 | 0.119 | 0.12 | 497.460938 |
1,786,891,288.419125 | 536.308594 | -89.833157 | 0.000223 | 0.118 | 0.12 | 497.460938 |
1,786,891,288.470038 | 537.011719 | -89.833157 | 0.000221 | 0.118 | 0.12 | 497.460938 |
1,786,891,288.521121 | 537.539063 | -89.833157 | 0.000221 | 0.118 | 0.12 | 497.460938 |
1,786,891,288.573095 | 538.154297 | -89.833157 | 0.000219 | 0.121 | 0.12 | 497.460938 |
1,786,891,288.627807 | 539.296875 | -89.833157 | 0.000218 | 0.118 | 0.12 | 497.460938 |
1,786,891,288.678508 | 539.824219 | -89.833157 | 0.000218 | 0.118 | 0.12 | 497.460938 |
1,786,891,288.729465 | 540.351563 | -89.833157 | 0.000219 | 0.118 | 0.12 | 497.460938 |
1,786,891,288.781452 | 541.40625 | -89.833157 | 0.000221 | 0.118 | 0.12 | 497.460938 |
1,786,891,288.832634 | 541.933594 | -89.833157 | 0.000222 | 0.119 | 0.12 | 497.460938 |
1,786,891,288.883105 | 542.460938 | -89.833157 | 0.000222 | 0.119 | 0.12 | 497.460938 |
1,786,891,288.935114 | 542.900391 | -89.833157 | 0.000223 | 0.119 | 0.12 | 497.460938 |
1,786,891,288.986205 | 543.955078 | -89.833157 | 0.000223 | 0.119 | 0.12 | 497.460938 |
1,786,891,289.037707 | 544.482422 | -89.833157 | 0.000223 | 0.12 | 0.12 | 497.460938 |
1,786,891,289.089 | 545.097656 | -89.833157 | 0.000224 | 0.12 | 0.12 | 497.460938 |
1,786,891,289.140039 | 545.625 | -89.833157 | 0.000224 | 0.115 | 0.12 | 497.460938 |
1,786,891,289.191199 | 546.767578 | -89.833157 | 0.000224 | 0.115 | 0.12 | 497.460938 |
1,786,891,289.242733 | 547.207031 | -89.833157 | 0.000224 | 0.118 | 0.12 | 497.460938 |
1,786,891,289.293324 | 547.822266 | -89.833157 | 0.000225 | 0.118 | 0.12 | 497.460938 |
1,786,891,289.343938 | 548.789063 | -89.833157 | 0.000226 | 0.12 | 0.12 | 497.460938 |
1,786,891,289.395483 | 549.316406 | -89.833157 | 0.000228 | 0.12 | 0.12 | 497.460938 |
1,786,891,289.446975 | 549.84375 | -89.833157 | 0.000227 | 0.118 | 0.12 | 497.460938 |
1,786,891,289.498527 | 550.458984 | -89.833157 | 0.000226 | 0.118 | 0.12 | 497.460938 |
1,786,891,289.549652 | 551.425781 | -89.833157 | 0.000225 | 0.117 | 0.12 | 497.460938 |
1,786,891,289.600759 | 551.953125 | -89.833157 | 0.000225 | 0.117 | 0.12 | 497.460938 |
1,786,891,289.652687 | 552.480469 | -89.833157 | 0.000224 | 0.115 | 0.12 | 497.460938 |
1,786,891,289.703878 | 553.095703 | -89.833157 | 0.000224 | 0.115 | 0.12 | 497.460938 |
1,786,891,289.754208 | 553.623047 | -89.833157 | 0.000224 | 0.118 | 0.12 | 497.460938 |
1,786,891,289.80494 | 554.853516 | -89.833157 | 0.000223 | 0.118 | 0.12 | 497.460938 |
1,786,891,289.856634 | 555.380859 | -89.833157 | 0.000229 | 0.118 | 0.12 | 497.460938 |
1,786,891,289.907602 | 555.908203 | -89.833157 | 0.000233 | 0.118 | 0.12 | 497.460938 |
1,786,891,289.963365 | 557.050781 | -89.833157 | 0.000243 | 0.12 | 0.12 | 497.460938 |
1,786,891,290.014137 | 557.578125 | -89.833157 | 0.000247 | 0.117 | 0.12 | 497.460938 |
1,786,891,290.064974 | 558.105469 | -89.833157 | 0.000253 | 0.117 | 0.12 | 497.460938 |
1,786,891,290.116278 | 558.632813 | -89.833157 | 0.000258 | 0.117 | 0.12 | 497.460938 |
1,786,891,290.168235 | 559.775391 | -89.833157 | 0.000261 | 0.118 | 0.12 | 497.460938 |
1,786,891,290.21991 | 560.214844 | -89.833157 | 0.000263 | 0.12 | 0.12 | 497.460938 |
1,786,891,290.271127 | 560.742188 | -89.833157 | 0.000265 | 0.12 | 0.12 | 497.460938 |
1,786,891,290.322463 | 561.269531 | -89.833157 | 0.000269 | 0.12 | 0.12 | 497.460938 |
1,786,891,290.373135 | 562.412109 | -89.833157 | 0.00027 | 0.12 | 0.12 | 497.460938 |
1,786,891,290.426962 | 562.851563 | -89.833157 | 0.00027 | 0.12 | 0.12 | 497.460938 |
1,786,891,290.479419 | 563.378906 | -89.833157 | 0.000271 | 0.12 | 0.12 | 497.460938 |
End of preview.
raw_plates
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 | 8985 |
| objectplates | 3 | 4582 |
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 justink04/raw_plates
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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