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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'camera_intrinsic', 'translation', 'rotation', 'sensor_token'}) and 2 missing columns ({'description', 'name'}).
This happened while the json dataset builder was generating data using
zip://man-truckscenes/v1.2-trainval/calibrated_sensor.json::hf://datasets/ShantyCam/man-truckscenes@afad87ea299023143eef64684ed2630d586ff679/man-truckscenes_metadata_v1.2-trainval.zip, ['hf://datasets/ShantyCam/man-truckscenes@afad87ea299023143eef64684ed2630d586ff679/man-truckscenes_metadata_v1.2-trainval.zip'], ['hf://datasets/ShantyCam/man-truckscenes@afad87ea299023143eef64684ed2630d586ff679/man-truckscenes_metadata_v1.2-trainval.zip']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._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
token: string
sensor_token: string
translation: list<item: double>
child 0, item: double
rotation: list<item: double>
child 0, item: double
camera_intrinsic: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
to
{'token': Value('string'), 'name': Value('string'), 'description': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
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 1839, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'camera_intrinsic', 'translation', 'rotation', 'sensor_token'}) and 2 missing columns ({'description', 'name'}).
This happened while the json dataset builder was generating data using
zip://man-truckscenes/v1.2-trainval/calibrated_sensor.json::hf://datasets/ShantyCam/man-truckscenes@afad87ea299023143eef64684ed2630d586ff679/man-truckscenes_metadata_v1.2-trainval.zip, ['hf://datasets/ShantyCam/man-truckscenes@afad87ea299023143eef64684ed2630d586ff679/man-truckscenes_metadata_v1.2-trainval.zip'], ['hf://datasets/ShantyCam/man-truckscenes@afad87ea299023143eef64684ed2630d586ff679/man-truckscenes_metadata_v1.2-trainval.zip']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
token string | name string | description string |
|---|---|---|
eefd82c9b2f144e2b1c61a432254cff2 | vehicle.parked | Vehicle is stationary (usually for longer duration) with no immediate intent to move. |
c8bb6d31989545ada88e1b51d7c624bc | vehicle.stopped | Vehicle, with a driver/rider in/on it, is currently stationary but has an intent to move. |
26f2383b43d34f25b2ab6f4cd6f20e8b | vehicle.moving | Vehicle is moving. |
cf2fd98917644bd7b461030ec0cc3642 | cycle.with_rider | There is a rider on the bicycle or motorcycle. |
27b440d7cc464d58afc77c61e467c098 | cycle.without_rider | There is NO rider on the bicycle or motorcycle. |
3e2c074a1e484b0d9e4b8578899494f3 | pedestrian.sitting_lying_down | The human is sitting or lying down. |
0b54e4f5fcc1437fb0ce9fa766744295 | pedestrian.standing | The human is standing. |
102c3251228549449cf1bb251067f82a | pedestrian.moving | The human is moving. |
ca9ac8c2b0944e808c35e84f9092f1e8 | traffic_sign.pole_mounted | When the traffic sign is mounted on a pole, typically next to, or on the road. |
821ea06fe42645738adda81125237196 | traffic_sign.overhanging | When the traffic sign is mounted above the road, or hanging from an object and is not mounted on a pole thats conected with the ground plane. |
9a27cf062ef649bba93191d56c84e079 | traffic_sign.temporary | When the sign is temporaryly placed there, typically around contructions areas, marking constructions or temporary speed delimiter sign. |
582184b0e14d4d6caeb0dc07dc43dd46 | null | null |
50bd17074ef347a685b95d0fe5e779ff | null | null |
422d21e2de24488fb9bc23460c527c22 | null | null |
6e8fc4a9fb0f4d13b9efcb86332f67c8 | null | null |
41779346224b49c1b94b902b2a95d8b6 | null | null |
9e4e12b7c458405482718d444650ce63 | null | null |
53fa2db78e83466685b9beaaa91657b9 | null | null |
e05f60b472274d9e98a30bfe91cad4ed | null | null |
2776221ae7ce4d64b4b57eb99aac38d6 | null | null |
64d739e081fa462e93865fb45c4fb1d5 | null | null |
46ba7ec1375e4bc897534bdbdb26c5e9 | null | null |
696bd9e584a448588583e6922edf7653 | null | null |
e56a62cd39a9414f9d9d568c06ee522e | null | null |
ec5c4a99291c4547b8e05d060f4c5f95 | null | null |
0b8d1f5f6ed24fbca91a856988fde7fa | null | null |
dcbe4409b4fc4a85b5a691b2d98aa06b | null | null |
a70f1a71922848e2b9e050acea7e459c | null | null |
99702d6a594b486fb4b749b05264bcbe | null | null |
c9765c01960f41f391ea560531cf7746 | vehicle.car | Vehicle designed primarily for personal use, e.g. sedans, hatch-backs, wagons, vans, mini-vans, SUVs and jeeps. |
fcb056c5cbad4eabb1c319f8f0a68024 | vehicle.truck | Vehicles primarily designed to haul cargo including pick-ups, lorrys, trucks and semi-tractors. Trailers hauled after a semi-tractor should be labeled as Trailer |
06e21429e8184e06956c9661bc02e46f | vehicle.bus.bendy | Buses and shuttles designed to carry more than 10 people and comprises two or more rigid sections linked by a pivoting joint. Annotate each section of the bendy bus individually. |
2aa62e5fa79648968718e1bbd9dbbaae | vehicle.bus.rigid | Rigid buses and shuttles designed to carry more than 10 people |
7ac21ff9078d4276b6ad8e70c754ddd8 | vehicle.construction | Vehicles primarily designed for construction. Typically very slow moving or stationary. Cranes and extremities of construction vehicles are only included in annotations if they interfere with traffic. Trucks used to hauling rocks or building materials are considered trucks rather than construction vehicles. |
2c0e31b577df42fba451db6d19d1e54d | vehicle.motorcycle | Gasoline or electric powered 2-wheeled vehicle designed to move rapidly (at the speed of standard cars) on the road surface. This category includes all motorcycles, vespas and scooters. It also includes light 3-wheel vehicles, often with a light plastic roof and open on the sides, that tend to be common in Asia. If the... |
9bf6fc7195a345369dc6814049544cce | static_object.bicycle_rack | Area or device intended to park or secure the bicycles in a row. It includes all the bicycles parked in it and any empty slots that are intended for parking bicycles. Bicycles that are not part of the rack should not be included. Instead they should be annotated as bicycles separately. |
953a56ab599242278a3accf60a097b59 | vehicle.bicycle | Human or electric powered 2-wheeled vehicle designed to travel at lower speeds either on road surface, sidewalks or bicycle paths. If there is a rider and/or passenger, include them in the box. |
fec744eb30e5499ab654c8e9576658b0 | vehicle.trailer | Any vehicle trailer, both for trucks, cars and motorcycles (regardless of whether currently being towed or not). For semi-trailers (containers) label the truck itself as Truck. |
097149ba23eb42399459630b8b7e9696 | vehicle.emergency.police | All types of police vehicles including police bicycles and motorcycles. |
20348e4ab48243269accc4e4dce2e0ae | vehicle.emergency.ambulance | All types of ambulances. |
01262314d8614a6ba620363d14adeefc | human.pedestrian.adult | An adult pedestrian moving around the cityscape. Mannequins should also be annotated as Adult Pedestrian. |
a8c267396c6a45d690f2417a92aef60f | human.pedestrian.child | A child pedestrian moving around the cityscape. |
46d48b607fe84e41ab4623656e195354 | human.pedestrian.construction_worker | A human in the scene whose main purpose is construction work. |
e7d438c40cf64fb4b9d27b6dc60299e5 | human.pedestrian.stroller | Any stroller. If a person is in the stroller, include in the annotation. If a pedestrian pushing the stroller, then they should be labeled separately. |
2162e1e26c164262a29094f4c7660eb4 | human.pedestrian.wheelchair | Any type of wheelchair. If a pedestrian is pushing the wheelchair then they should be labeled separately. |
1e70fa74148d4a59872d34f5d187c198 | human.pedestrian.personal_mobility | A small electric or self-propelled vehicle, e.g. skateboard, segway, or scooters, on which the person typically travels in a upright position. Driver and (if applicable) rider should be included in the bounding box along with the vehicle. |
099ef7ba76ad41b5b9ee5aca600de790 | human.pedestrian.police_officer | Any type of police officer, regardless whether directing the traffic or not. |
7493aa4504524c18baa82911da8c30b4 | animal | All animals, e.g. cats, rats, dogs, deer, birds. |
63d25364e0b247fbbb6c91e6d20528b2 | movable_object.trafficcone | All types of traffic cones. |
fb0e058e0a0341899eabe7e4bc267367 | movable_object.barrier | Any metal, concrete or water barrier temporarily placed in the scene in order to re-direct vehicle or pedestrian traffic. In particular, includes barriers used at construction zones. If there are multiple barriers either connected or just placed next to each other, they should be annotated separately. |
2d7baad02c824e07bb43b69834cd27d7 | movable_object.pushable_pullable | Objects that a pedestrian may push or pull. For example dolleys, wheel barrows, garbage-bins with wheels, or shopping carts. Typically not designed to carry humans. |
f2357596637c42e29fc0eccc2b9c3458 | movable_object.debris | Debris or movable object that is too large to be driven over safely. Includes misc. things like trash bags, temporary road-signs, objects around construction zones, and trash cans. |
c994c0b0fb4b44f89f615ccf91080e65 | vehicle.train | Vehicle travelling on railway, e.g. trains and trams. |
3982fa268abf4a41aec6b6f56f0d4f64 | static_object.traffic_sign | Traffic signs, with the pole for the traffic sign also within the 3D cuboid.For overhanging size, a horizontal cuboid will be used for the whole section. |
5491fa9a70204327a1765ac578950ce5 | vehicle.other | Misc class for vehicles. If not sure which class the vehile belongs other vehicle will be used. Also used for all vehicles that dont belong to any other class |
4feae4d4e9ce480ea76757225053c1bd | vehicle.ego_trailer | The trailer of the recording vehicle. |
4afd26cb423d443ebb4aa59f2dbd90f0 | null | null |
b7e52549ece349abb5e7fc6816be7553 | null | null |
542539aa13204a01b64d82638509ced9 | null | null |
01106a3d84284c56a26906e0c6f733d1 | null | null |
2d0fc5859fbe41899ed9cc61d9d4d113 | null | null |
a1b221383521406d9af79c1b8c339942 | null | null |
f68da7b125a54c09b3b5bfb4a859b910 | null | null |
4ac556ec7ff1467ca3d05ca1c9a7540c | null | null |
f0f879c0ba6845aaa7424c0cf7b738c0 | null | null |
961fd79ada73459ebf3726853909710f | null | null |
24651641d8254bf19e60ff8b85b40d93 | null | null |
81b4a5effa4d4a7ea686ac4720080a63 | null | null |
0f12ed1600b94f9ca0686e5e98ea1887 | null | null |
58da3e0d742d47ddbce9fa25738859ec | null | null |
f82d65290a2744929d03750e9cf9e85b | null | null |
d3144327d5fa4027a8aae298caaed498 | null | null |
1a47f05e53324a798167e851eeb14785 | null | null |
eb55d16f136a4410a8071f9982b4da2e | null | null |
4ea3fdf73f354544bcbd8f0dd723c358 | null | null |
4dd69c47d6424b4e87b4e438f0e9b024 | null | null |
c77205321404452f9a35cd85d0f1ae36 | null | null |
7752f4d9aa414646b893472145044dbd | null | null |
fcfaea1f65cb43fe865e5b7c7a96c69e | null | null |
6a3bf48054674692aca2316e9c28bfcd | null | null |
af656352dc4c4cc1bb603d8a5186e70c | null | null |
2850d17ca3254bf3bf22f3d3d163906c | null | null |
9295b4cbe7474577abf095fcb643b37f | null | null |
4a4c4b10343a47c7a3cf32d40a70249a | null | null |
3d264be4e2e746d6aa36fd2d9f976d4f | null | null |
524eb6ab78484e338bc52f8d49ee296d | null | null |
f0b749df39b54917b34848641c30fde0 | null | null |
b789815898b6481fb715a241e6793f17 | null | null |
10854c8c91874cbc8a5bddebc61916b1 | null | null |
cba64712efac4dc585f3a54635fc9d20 | null | null |
f18d2cf64d24470bb2089d9b1d75d968 | null | null |
8a932969699649618438821fbaa53bce | null | null |
bfc18f081f2043319a97faf9a1fb6652 | null | null |
d94918369f6e4a77bbf6941c6aac35f3 | null | null |
039df51b31ff4e43afa41a7226b60e68 | null | null |
8b1a1b0160ef43dd989b300a18b2dbda | null | null |
1c99a3e3457e49c9ab713ca5900822cf | null | null |
25ab6fc045d24b70afca41033cbc1538 | null | null |
ec689f723a044300a1bbc1c353c38b2c | null | null |
e6943009f21f4c719c8cf73e0b48cee4 | null | null |
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