Dataset Preview
Full Screen Viewer
Full Screen
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 23 new columns ({'concrete wall', 'stop sign', 'store', 'adult', 'field', 'SUV', 'motorcycle rider', 'trees', 'sedan', 'child', 'road sign', 'office', 'mountain', 'church', 'grass', 'intersection light', 'stop light', 'light pole', 'asphalt', 'bushes', 'house', 'bicycle rider', 'street'})
This happened while the json dataset builder was generating data using
hf://datasets/ahn1376/bdd100K_test/prompt_dict.json (at revision d8caa8d086e6570111c83470dfe37eb8e8b93915)
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 1412, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 988, in stream_convert_to_parquet
builder._prepare_split(
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 ({'concrete wall', 'stop sign', 'store', 'adult', 'field', 'SUV', 'motorcycle rider', 'trees', 'sedan', 'child', 'road sign', 'office', 'mountain', 'church', 'grass', 'intersection light', 'stop light', 'light pole', 'asphalt', 'bushes', 'house', 'bicycle rider', 'street'})
This happened while the json dataset builder was generating data using
hf://datasets/ahn1376/bdd100K_test/prompt_dict.json (at revision d8caa8d086e6570111c83470dfe37eb8e8b93915)
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
} |
No dataset card yet
- Downloads last month
- 3