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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 18 missing columns ({'18', '14', '11', '12', '20', '19', '15', '5', '10', '9', '4', '17', '6', '8', '13', '7', '3', '16'})
This happened while the json dataset builder was generating data using
hf://datasets/digscom/digs-hq-metadata/oneformer-room-classes.json (at revision d9cfd617c13e160aacd72728412bf66b99e27522)
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 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
0: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
1: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
2: struct<isthing: int64, name: string>
child 0, isthing: int64
child 1, name: string
to
{'0': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '1': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '2': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '3': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '4': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '5': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '6': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '7': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '8': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '9': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '10': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '11': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '12': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '13': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '14': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '15': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '16': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '17': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '18': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '19': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}, '20': {'isthing': Value(dtype='int64', id=None), 'name': Value(dtype='string', 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 1321, 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 935, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 18 missing columns ({'18', '14', '11', '12', '20', '19', '15', '5', '10', '9', '4', '17', '6', '8', '13', '7', '3', '16'})
This happened while the json dataset builder was generating data using
hf://datasets/digscom/digs-hq-metadata/oneformer-room-classes.json (at revision d9cfd617c13e160aacd72728412bf66b99e27522)
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.
0
dict | 1
dict | 2
dict | 3
dict | 4
dict | 5
dict | 6
dict | 7
dict | 8
dict | 9
dict | 10
dict | 11
dict | 12
dict | 13
dict | 14
dict | 15
dict | 16
dict | 17
dict | 18
dict | 19
dict | 20
dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
{
"isthing": 0,
"name": "BACKGROUND"
} | {
"isthing": 0,
"name": "WALL"
} | {
"isthing": 1,
"name": "ROOM_OPEN"
} | {
"isthing": 1,
"name": "ROOM_CLOSED"
} | {
"isthing": 1,
"name": "WINDOW"
} | {
"isthing": 1,
"name": "DOOR"
} | {
"isthing": 1,
"name": "STAIR"
} | {
"isthing": 1,
"name": "ICON_SINK"
} | {
"isthing": 1,
"name": "ICON_TOILET"
} | {
"isthing": 1,
"name": "ICON_CHAIR"
} | {
"isthing": 1,
"name": "ICON_WASHER_DRYER"
} | {
"isthing": 1,
"name": "ICON_SHOWER"
} | {
"isthing": 1,
"name": "ICON_TABLE"
} | {
"isthing": 1,
"name": "ICON_BATHTUB"
} | {
"isthing": 1,
"name": "ICON_OVEN_STOVE"
} | {
"isthing": 1,
"name": "ICON_REFRIGERATOR"
} | {
"isthing": 1,
"name": "ICON_SOFA"
} | {
"isthing": 1,
"name": "ICON_BEDSIDE_TABLE"
} | {
"isthing": 1,
"name": "ICON_CHIMNEY"
} | {
"isthing": 1,
"name": "ICON_BED"
} | {
"isthing": 1,
"name": "ICON_TV"
} |
{
"isthing": 0,
"name": "background"
} | {
"isthing": 1,
"name": "closed room"
} | {
"isthing": 1,
"name": "open room"
} | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
{
"isthing": 0,
"name": "background"
} | {
"isthing": 1,
"name": "room"
} | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
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