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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 ({'split', 'num_samples', 'Dataset', 'attributes'}) and 3 missing columns ({'updated_at', 'config', 'chunks'}).
This happened while the json dataset builder was generating data using
hf://datasets/snchen1230/DeepGlobeLandCover/train/metadata.json (at revision b4f34fb27843d4d258d56d9a3d20ed47c06fec6b)
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
Dataset: string
split: string
num_samples: int64
attributes: struct<image: struct<dtype: string, format: string>, class: struct<dtype: string, format: string>, classes: struct<0: string, 1: string, 2: string, 3: string, 4: string, 5: string, 6: string>>
child 0, image: struct<dtype: string, format: string>
child 0, dtype: string
child 1, format: string
child 1, class: struct<dtype: string, format: string>
child 0, dtype: string
child 1, format: string
child 2, classes: struct<0: string, 1: string, 2: string, 3: string, 4: string, 5: string, 6: string>
child 0, 0: string
child 1, 1: string
child 2, 2: string
child 3, 3: string
child 4, 4: string
child 5, 5: string
child 6, 6: string
to
{'chunks': [{'chunk_bytes': Value(dtype='int64', id=None), 'chunk_size': Value(dtype='int64', id=None), 'dim': Value(dtype='null', id=None), 'filename': Value(dtype='string', id=None)}], 'config': {'chunk_bytes': Value(dtype='int64', id=None), 'chunk_size': Value(dtype='null', id=None), 'compression': Value(dtype='null', id=None), 'data_format': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'data_spec': Value(dtype='string', id=None), 'encryption': Value(dtype='null', id=None), 'item_loader': Value(dtype='string', id=None)}, 'updated_at': 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 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 4 new columns ({'split', 'num_samples', 'Dataset', 'attributes'}) and 3 missing columns ({'updated_at', 'config', 'chunks'}).
This happened while the json dataset builder was generating data using
hf://datasets/snchen1230/DeepGlobeLandCover/train/metadata.json (at revision b4f34fb27843d4d258d56d9a3d20ed47c06fec6b)
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.
chunks
list | config
dict | updated_at
string | Dataset
string | split
string | num_samples
int64 | attributes
dict |
|---|---|---|---|---|---|---|
[
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-0-0.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-0-1.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-0-2.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-0-3.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-0-4.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-0-5.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-0-6.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-0-7.bin"
},
{
"chunk_bytes": 119854300,
"chunk_size": 5,
"dim": null,
"filename": "chunk-0-8.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-1-0.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-1-1.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-1-2.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-1-3.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-1-4.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-1-5.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-1-6.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-1-7.bin"
},
{
"chunk_bytes": 119854300,
"chunk_size": 5,
"dim": null,
"filename": "chunk-1-8.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-2-0.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-2-1.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-2-2.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-2-3.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-2-4.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-2-5.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-2-6.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-2-7.bin"
},
{
"chunk_bytes": 119854300,
"chunk_size": 5,
"dim": null,
"filename": "chunk-2-8.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-3-0.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-3-1.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-3-2.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-3-3.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-3-4.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-3-5.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-3-6.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-3-7.bin"
},
{
"chunk_bytes": 119854300,
"chunk_size": 5,
"dim": null,
"filename": "chunk-3-8.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-4-0.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-4-1.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-4-2.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-4-3.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-4-4.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-4-5.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-4-6.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-4-7.bin"
},
{
"chunk_bytes": 119854300,
"chunk_size": 5,
"dim": null,
"filename": "chunk-4-8.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-5-0.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-5-1.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-5-2.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-5-3.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-5-4.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-5-5.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-5-6.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-5-7.bin"
},
{
"chunk_bytes": 143825160,
"chunk_size": 6,
"dim": null,
"filename": "chunk-5-8.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-6-0.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-6-1.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-6-2.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-6-3.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-6-4.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-6-5.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-6-6.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-6-7.bin"
},
{
"chunk_bytes": 143825160,
"chunk_size": 6,
"dim": null,
"filename": "chunk-6-8.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-7-0.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-7-1.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-7-2.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-7-3.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-7-4.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-7-5.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-7-6.bin"
},
{
"chunk_bytes": 239708600,
"chunk_size": 10,
"dim": null,
"filename": "chunk-7-7.bin"
},
{
"chunk_bytes": 143825160,
"chunk_size": 6,
"dim": null,
"filename": "chunk-7-8.bin"
}
] | {
"chunk_bytes": 256000000,
"chunk_size": null,
"compression": null,
"data_format": [
"numpy",
"numpy"
],
"data_spec": "[1, {\"type\": \"builtins.dict\", \"context\": \"[\\\"image\\\", \\\"class\\\"]\", \"children_spec\": [{\"type\": null, \"context\": null, \"children_spec\": []}, {\"type\": null, \"context\": null, \"children_spec\": []}]}]",
"encryption": null,
"item_loader": "PyTreeLoader"
} | 1735900877.7376115 | null | null | null | null |
null | null | null | DeepGlobeLandCover | train | 683 | {
"image": {
"dtype": "uint8",
"format": "numpy"
},
"class": {
"dtype": "uint8",
"format": "numpy"
},
"classes": {
"0": "Urban land",
"1": "Agriculture land",
"2": "Rangeland",
"3": "Forest land",
"4": "Water",
"5": "Barren land",
"6": "Unknown"
}
} |
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