Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 ({'name', 'description'}).

This happened while the json dataset builder was generating data using

hf://datasets/eugenix94/mapillary-metropolis/data/train/calibrated_sensor.json (at revision 9b9a1c8edfae588c7b99c16724a5be91a49df0b5), ['hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/attribute.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/calibrated_sensor.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/category.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/ego_pose.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/geo.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/instance.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/panoptic.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/points.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sample.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sample_annotation.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sample_annotation_2d.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sample_data.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/scene.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sensor.json'], ['hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/attribute.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/calibrated_sensor.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/category.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/ego_pose.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/geo.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/instance.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/panoptic.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/points.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sample.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sample_annotation.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sample_annotation_2d.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sample_data.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/scene.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sensor.json']

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
              camera_intrinsic: list<item: list<item: double>>
                child 0, item: list<item: double>
                    child 0, item: double
              rotation: list<item: double>
                child 0, item: double
              sensor_token: string
              token: string
              translation: list<item: int64>
                child 0, item: int64
              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 ({'name', 'description'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/eugenix94/mapillary-metropolis/data/train/calibrated_sensor.json (at revision 9b9a1c8edfae588c7b99c16724a5be91a49df0b5), ['hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/attribute.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/calibrated_sensor.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/category.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/ego_pose.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/geo.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/instance.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/panoptic.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/points.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sample.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sample_annotation.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sample_annotation_2d.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sample_data.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/scene.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sensor.json'], ['hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/attribute.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/calibrated_sensor.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/category.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/ego_pose.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/geo.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/instance.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/panoptic.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/points.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sample.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sample_annotation.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sample_annotation_2d.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sample_data.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/scene.json', 'hf://datasets/eugenix94/mapillary-metropolis@9b9a1c8edfae588c7b99c16724a5be91a49df0b5/data/train/sensor.json']
              
              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
HkXIhbHwlmeIGZJwZaEjFC
ambiguous
Not clearly identifiable
XDHwRPkWUd5wwnc4n5rkpA
out-of-frame
Object partially out of frame
GfgOBFmvMzTQIJs1REwGF0
occluded.not
not / partially / fully
ccVYBOj10TF2Af61AqUqbA
occluded.partially
not / partially / fully
zpT8hUHVZiAMK5QoxlfBgP
occluded.fully
not / partially / fully
vJmveKVXpZc317YjCd3nAF
front-back.front
front / back / ambiguous
8lZ6G0YuZd28BZiapTU2Wp
front-back.back
front / back / ambiguous
gNCjpTyxhECw5WluVMRsPx
front-back.ambiguous
front / back / ambiguous
GIW2mgm9c3iXqvwGvDdx1G
vehicle-state.other
other / moving / parked / stopped / ambiguous; ignore for non-vehicles
2e4yyoMtah31gNeHIOfZMX
vehicle-state.moving
other / moving / parked / stopped / ambiguous; ignore for non-vehicles
dybbezcJbe5Pj59gKkX3Ci
vehicle-state.parked
other / moving / parked / stopped / ambiguous; ignore for non-vehicles
rpHGHZTu1asuWVLAqJjK3Q
vehicle-state.stopped
other / moving / parked / stopped / ambiguous; ignore for non-vehicles
4ijgjLKsKEuuqw621186uz
vehicle-state.ambiguous
other / moving / parked / stopped / ambiguous; ignore for non-vehicles
7w7q9c6sp6jzxnixqx7u4h
null
null
7nvy8g6ydu01jed4ryjs7l
null
null
lgev3jhob05q253ql0izme
null
null
2obsprewv3lnctfvp2uria
null
null
rpb8i6o282s7nyp0nzetcq
null
null
cetvuknv6esd830ywyh2cd
null
null
tlgjdh2hwkw9ionwpubqxv
null
null
c4ovaplae28o883dvky0r1
null
null
heis1yz8takiyxy3ve8vv3
null
null
qijcuiatk7ggh1htj63lwa
null
null
pnrk25i0w5scksxh2t9i4j
null
null
xfhom4a56omqfsac3piija
null
null
aFgouNFhBKPm2oEYveU3nf
void--car-mount
Car mount
CcAAitdQcg3hZSwMpnKVdo
void--dynamic
Dynamic
b4QGDHsi6LC9WRT8QrXwBb
void--ego-vehicle
Ego vehicle
aKLALnK26wy5q3f2owfiJq
void--ground
Ground
EVCxbnoUCXfi9cJ6IGDn5X
void--static
Static
M0EVJY5nE5HmDu6fERx0aP
construction--flat--bike-lane
Bike lane
lgrAzIPsFE1Un8aR49TlNK
construction--flat--curb-cut
Curb cut
OdOVkdEohe7CUE281CUShZ
construction--flat--parking
Parking
Eox6PnPjMXoZXubBeMryvd
construction--flat--pedestrian-area
Pedestrian area
um2PpjrT0U6aT3OPA9YOWT
construction--flat--rail-track
Rail track
8LGWvZwGcJRudg3wjoc508
construction--flat--road
Road
Sz1M9oh9bgTluhjoj2FkYE
construction--flat--road-shoulder
Road shoulder
F1Y4udhRkp8F4REI7027Yh
construction--flat--service-lane
Service lane
iXBgE7sookFvwhQBGpqfcR
construction--flat--sidewalk
Sidewalk
v4DZ5MF2SpM8EbBwYLnnRk
construction--flat--traffic-island
Traffic island
ECpkcy89WsSmJ4RA6IaXfv
construction--barrier--curb
Curb
oeMIllcWrFrvYTw2cwA6so
construction--barrier--fence
Fence
H3uwXGm0XtSTjFiAIlGUI6
construction--barrier--guard-rail
Guard rail
L6xUz0I3KzUy8blfnq3ni1
construction--barrier--other-barrier
Barrier
6qzw3qe0I1ulMz1x4MSXJH
construction--barrier--separator
Lane separator
OHgv4eU58LHSDVz4ocGM07
construction--barrier--wall
Wall
8J3HvrOH4BGnq1lhtbHVTv
construction--structure--bridge
Bridge
zJXXgLJ6N7JckBm2V53MUc
construction--structure--building
Building
XSR85RslYne3H0GEovbxX5
construction--structure--garage
Garage
U0gl3dROcZ9HM5s8vzVwUB
construction--structure--tunnel
Tunnel
C9wXAXQ7HBX10qG0WifPD8
marking--continuous--dashed
Lane marking - dashed line
ZVGjwWc3ZojXLcppVDDgw9
marking--continuous--solid
Lane marking - solid line
iWNzyEIKm5AK5LqHiLaVgZ
nature--mountain
Mountain
PJUZERCsaM6THron5l0Gdl
nature--sand
Sand
LqTIJFRspyzSB2vUT6qTBL
nature--sky
Sky
Iwp7QZeScLk08V2if9k4wp
nature--snow
Snow
4BxUen8ktZRLgwBvCbnX7o
nature--terrain
Terrain
MRzuliFyrpXBzujs53iBbU
nature--vegetation
Vegetation
1SvbMNQo6jsofiyRqxENtA
nature--water
Water
Irg1YueetAUnN4QsZGjVNu
object--pothole
Pothole
ppgABf4G34bkEgGI5xiM4R
construction--flat--crosswalk-plain
Crosswalk Plain
PnvzqLwzrocvNX0p0519g7
human--person
Person
GlD1k2PxVjpTYi1kZSXIco
human--person--group
Person Group
LuTS1IZpApgmewlRbRZtfA
human--rider--bicyclist
Bicyclist
0UigRRYRUiORPbj7b1fFYl
human--rider--other-rider
Other rider
9QxQ2WSyaLQlvfh1FvXqxq
marking--discrete--arrow--left
Lane Marking - Arrow (Left)
EtB5FoA7a6fAQwxEym70br
marking--discrete--arrow--other
Lane Marking - Arrow (Other)
VHVaICI2hjuQmJWRNd1zDt
marking--discrete--arrow--right
Lane Marking - Arrow (Right)
LMbnSquslIdQJzgSJlFtuh
marking--discrete--arrow--straight
Lane Marking - Arrow (Straight)
LP34QRjA7huGKLvjod72LX
marking--discrete--crosswalk-zebra
Lane marking - crosswalk
FwMDLSnQBeCDIilaQc3ODb
marking--discrete--other-marking
Lane marking - Other
WT5txkVExykuyGWLtoIbRA
marking--discrete--text
Lane marking - text
8UYcyCr2oP7y3T3ixuSakU
object--banner
Banner
OAHw44OGB1lBMIgEosZMJ7
object--bench
Bench
XIk6xJTmlxvvFwLXzVO763
object--bike-rack
Bike rack
eDja89GppjAqS3NYM9CixR
object--catch-basin
Catch basin
ebZR5F8FfRedszbUjl2BUd
object--cctv-camera
CCTV camera
bdqzkwXFgxkbQiIXEml4UQ
object--fire-hydrant
Fire hydrant
4icTOL5wqU68GQaYwFxAFq
object--junction-box
Junction box
xAgrhXKOYzQvdNaMVCEAj6
object--mailbox
Mailbox
m58Hpe0GsTAydPr1wYiayf
object--manhole
Manhole
jQB2fVPlPOicEkx4yy7ncj
object--sign--advertisement
Signage - Advertisement
pc8hKtMRJZ6qQUncbKUxT4
object--sign--information
Signage - Information
ubG3JbnQK8e5vRZhlDjIfg
object--sign--other
Signage - Other
uftaKQGkk9pHJcsol2NZFd
object--sign--store
Signage - Store
37Fk8KYfBNKxh5aW9D9Y65
object--street-light
Street light
UVCjjdgPN81FVC2EnoGHVK
object--support--pole
Pole
e5eEDI8c10uhcEHaF45TPx
object--support--traffic-sign-frame
Traffic sign frame
j8CvHGOEndREZ7tx76iIli
object--support--utility-pole
Utility pole
I31plmpguFe9KGWLNQOTDw
object--traffic-light
Traffic Light
fLe2fvvaPxYtLzNEPni895
object--traffic-sign
Traffic sign
5TmiRJADBOekDaa5qL2FvT
object--trash-can
Trash can
TIpuVtPFTx0bMefw9nUcvm
object--tunnel-light
Tunnel Light
XjuO40lXpemVg5MeHK8DU6
object--tunnel-light--group
Tunnel Light Group
xkONUkSbUriPhWXYvuzsIv
object--vehicle--bicycle
Bicycle
vXdy4SuLl24OkZ0GRddikc
object--vehicle--bus
Bus
kUMxVDVirjF9FQ4NKwxlFo
object--vehicle--car
Car
IEFJGGokG25th4M6B2WMYr
object--vehicle--group
Vehicle Group
vINBixzTjt1vJKAnW9imGz
object--vehicle--motorcycle
Motorcycle
0uYfLWr9pkhxS1IzVuiF0d
object--vehicle--other-vehicle
Other vehicle
End of preview.

No dataset card yet

Downloads last month
56