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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 ({'num_samples', 'Dataset', 'attributes', 'statistics'}) and 3 missing columns ({'updated_at', 'chunks', 'config'}).
This happened while the json dataset builder was generating data using
hf://datasets/earthflow/UrbanSARFlood/train/metadata.json (at revision cf27d5b36e908a121e510000422b448f9c4025ee)
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
num_samples: int64
attributes: struct<name: struct<dtype: string>, image: struct<dtype: string, format: string, bands: list<item: struct<name: string, description: string>>>, class: struct<dtype: string, format: string>>
child 0, name: struct<dtype: string>
child 0, dtype: string
child 1, image: struct<dtype: string, format: string, bands: list<item: struct<name: string, description: string>>>
child 0, dtype: string
child 1, format: string
child 2, bands: list<item: struct<name: string, description: string>>
child 0, item: struct<name: string, description: string>
child 0, name: string
child 1, description: string
child 2, class: struct<dtype: string, format: string>
child 0, dtype: string
child 1, format: string
statistics: struct<std_in: list<item: double>, mean_in: list<item: double>, median_in: list<item: double>, max_in: list<item: double>, min_in: list<item: double>>
child 0, std_in: list<item: double>
child 0, item: double
child 1, mean_in: list<item: double>
child 0, item: double
child 2, median_in: list<item: double>
child 0, item: double
child 3, max_in: list<item: double>
child 0, item: double
child 4, min_in: list<item: double>
child 0, item: double
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 ({'num_samples', 'Dataset', 'attributes', 'statistics'}) and 3 missing columns ({'updated_at', 'chunks', 'config'}).
This happened while the json dataset builder was generating data using
hf://datasets/earthflow/UrbanSARFlood/train/metadata.json (at revision cf27d5b36e908a121e510000422b448f9c4025ee)
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 | num_samples
int64 | attributes
dict | statistics
dict |
|---|---|---|---|---|---|---|
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"filename": "chunk-0-1.bin"
},
{
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"filename": "chunk-0-2.bin"
},
{
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},
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},
{
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},
{
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},
{
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},
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},
{
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},
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{
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{
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{
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{
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},
{
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{
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}
] | {
"chunk_bytes": 256000000,
"chunk_size": null,
"compression": null,
"data_format": [
"bytes",
"str",
"numpy"
],
"data_spec": "[1, {\"type\": \"builtins.dict\", \"context\": \"[\\\"hdf5_data\\\", \\\"name\\\", \\\"class\\\"]\", \"children_spec\": [{\"type\": null, \"context\": null, \"children_spec\": []}, {\"type\": null, \"context\": null, \"children_spec\": []}, {\"type\": null, \"context\": null, \"children_spec\": []}]}]",
"encryption": null,
"item_loader": "PyTreeLoader"
} | 1733926869.509376 | null | null | null | null |
null | null | null | UrbanSARFloods | 18,004 | {
"name": {
"dtype": "str"
},
"image": {
"dtype": "float16",
"format": "numpy",
"bands": [
{
"name": "Band_1",
"description": "pre_coherence_VH"
},
{
"name": "Band_2",
"description": "pre_coherence_VV"
},
{
"name": "Band_3",
"description": "post_coherence_VH"
},
{
"name": "Band_4",
"description": "post_coherence_VV"
},
{
"name": "Band_5",
"description": "pre_intensity_VH"
},
{
"name": "Band_6",
"description": "pre_intensity_VV"
},
{
"name": "Band_7",
"description": "post_intensity_VH"
},
{
"name": "Band_8",
"description": "post_intensity_VV"
}
]
},
"class": {
"dtype": "uint8",
"format": "numpy"
}
} | {
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4.07141682,
3.94773216,
4.21006244,
4.05494136
],
"mean_in": [
0.23651549,
0.31761484,
0.18514981,
0.26901252,
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-8.6098158,
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],
"median_in": [
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],
"max_in": [
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0.53432751,
0.66288453,
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],
"min_in": [
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0.03062815,
0.03643807,
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]
} |