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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 23 new columns ({'mountain', 'field', 'motorcycle rider', 'stop sign', 'street', 'bushes', 'sedan', 'stop light', 'child', 'concrete wall', 'light pole', 'office', 'grass', 'bicycle rider', 'road sign', 'church', 'asphalt', 'adult', 'SUV', 'house', 'store', 'intersection light', 'trees'})
This happened while the json dataset builder was generating data using
hf://datasets/ahn1376/cityscapes_test/prompt_dict.json (at revision 580d55459a1b0cd8c0a919c87893e02bb8c07a4c)
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
road: struct<id: int64>
child 0, id: int64
asphalt: struct<id: int64>
child 0, id: int64
street: struct<id: int64>
child 0, id: int64
sidewalk: struct<id: int64>
child 0, id: int64
building: struct<id: int64>
child 0, id: int64
house: struct<id: int64>
child 0, id: int64
church: struct<id: int64>
child 0, id: int64
store: struct<id: int64>
child 0, id: int64
office: struct<id: int64>
child 0, id: int64
wall: struct<id: int64>
child 0, id: int64
concrete wall: struct<id: int64>
child 0, id: int64
fence: struct<id: int64>
child 0, id: int64
pole: struct<id: int64>
child 0, id: int64
light pole: struct<id: int64>
child 0, id: int64
traffic light: struct<id: int64>
child 0, id: int64
stop light: struct<id: int64>
child 0, id: int64
intersection light: struct<id: int64>
child 0, id: int64
traffic sign: struct<id: int64>
child 0, id: int64
stop sign: struct<id: int64>
child 0, id: int64
road sign: struct<id: int64>
child 0, id: int64
vegetation: struct<id: int64>
child 0, id: int64
trees: struct<id: int64>
child 0, id: int64
bushes: struct<id: int64>
child 0, id: int64
terrain: struct<id: int64>
child 0, id: int64
grass: struct<id: int64>
child 0, id: int64
field: struct<id: int64>
child 0, id: int64
mountain: struct<id: int64>
child 0, id: int64
sky: struct<id: int64>
child 0, id: int64
person: struct<id: int64>
child 0, id: int64
child: struct<id: int64>
child 0, id: int64
adult: struct<id: int64>
child 0, id: int64
rider: struct<id: int64>
child 0, id: int64
bicycle rider: struct<id: int64>
child 0, id: int64
motorcycle rider: struct<id: int64>
child 0, id: int64
car: struct<id: int64>
child 0, id: int64
sedan: struct<id: int64>
child 0, id: int64
SUV: struct<id: int64>
child 0, id: int64
truck: struct<id: int64>
child 0, id: int64
bus: struct<id: int64>
child 0, id: int64
train: struct<id: int64>
child 0, id: int64
motorcycle: struct<id: int64>
child 0, id: int64
bicycle: struct<id: int64>
child 0, id: int64
to
{'road': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'sidewalk': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'building': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'wall': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'fence': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'pole': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'traffic light': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'traffic sign': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'vegetation': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'terrain': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'sky': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'person': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'rider': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'car': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'truck': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'bus': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'train': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'motorcycle': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}, 'bicycle': {'id': Value(dtype='int64', id=None), 'has_instance': Value(dtype='bool', id=None)}}
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 1417, 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 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 23 new columns ({'mountain', 'field', 'motorcycle rider', 'stop sign', 'street', 'bushes', 'sedan', 'stop light', 'child', 'concrete wall', 'light pole', 'office', 'grass', 'bicycle rider', 'road sign', 'church', 'asphalt', 'adult', 'SUV', 'house', 'store', 'intersection light', 'trees'})
This happened while the json dataset builder was generating data using
hf://datasets/ahn1376/cityscapes_test/prompt_dict.json (at revision 580d55459a1b0cd8c0a919c87893e02bb8c07a4c)
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.
road
dict | sidewalk
dict | building
dict | wall
dict | fence
dict | pole
dict | traffic light
dict | traffic sign
dict | vegetation
dict | terrain
dict | sky
dict | person
dict | rider
dict | car
dict | truck
dict | bus
dict | train
dict | motorcycle
dict | bicycle
dict | asphalt
dict | street
dict | house
dict | church
dict | store
dict | office
dict | concrete wall
dict | light pole
dict | stop light
dict | intersection light
dict | stop sign
dict | road sign
dict | trees
dict | bushes
dict | grass
dict | field
dict | mountain
dict | child
dict | adult
dict | bicycle rider
dict | motorcycle rider
dict | sedan
dict | SUV
dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
{
"id": 1,
"has_instance": false
} | {
"id": 2,
"has_instance": false
} | {
"id": 3,
"has_instance": false
} | {
"id": 4,
"has_instance": false
} | {
"id": 5,
"has_instance": false
} | {
"id": 6,
"has_instance": false
} | {
"id": 7,
"has_instance": false
} | {
"id": 8,
"has_instance": false
} | {
"id": 9,
"has_instance": false
} | {
"id": 10,
"has_instance": false
} | {
"id": 11,
"has_instance": false
} | {
"id": 12,
"has_instance": true
} | {
"id": 13,
"has_instance": true
} | {
"id": 14,
"has_instance": true
} | {
"id": 15,
"has_instance": true
} | {
"id": 16,
"has_instance": true
} | {
"id": 17,
"has_instance": true
} | {
"id": 18,
"has_instance": true
} | {
"id": 19,
"has_instance": true
} | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
{
"id": 1
} | {
"id": 2
} | {
"id": 3
} | {
"id": 4
} | {
"id": 5
} | {
"id": 6
} | {
"id": 7
} | {
"id": 8
} | {
"id": 9
} | {
"id": 10
} | {
"id": 11
} | {
"id": 12
} | {
"id": 13
} | {
"id": 14
} | {
"id": 15
} | {
"id": 16
} | {
"id": 17
} | {
"id": 18
} | {
"id": 19
} | {
"id": 1
} | {
"id": 1
} | {
"id": 3
} | {
"id": 3
} | {
"id": 3
} | {
"id": 3
} | {
"id": 4
} | {
"id": 6
} | {
"id": 7
} | {
"id": 7
} | {
"id": 8
} | {
"id": 8
} | {
"id": 9
} | {
"id": 9
} | {
"id": 10
} | {
"id": 10
} | {
"id": 10
} | {
"id": 12
} | {
"id": 12
} | {
"id": 13
} | {
"id": 13
} | {
"id": 14
} | {
"id": 14
} |
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