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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
rows: int64
corrected_crops: int64
unchanged_verified_crops: int64
rows_with_populated_feature_labels: int64
pool_positive_ids: list<item: string>
child 0, item: string
pool_negative_ids: list<item: string>
child 0, item: string
medium_confidence_shed_count_ids: list<item: string>
child 0, item: string
dropped_ids: list<item: string>
child 0, item: string
sha256_all_pngs_match_metadata: bool
to
{'idx': Value('string'), 'rgb_match': Value('bool'), 'source_date': Value('timestamp[s]'), 'size_px': List(Value('int64')), 'pixel_size_m': List(Value('float64')), 'png_sha256': Value('string'), 'alpha_mask_extrema': List(Value('int64')), 'valid_coverage_fraction': Value('float64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1876, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 830, in finalize
self.write_rows_on_file()
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 690, in write_rows_on_file
self._write_table(table)
~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 822, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
rows: int64
corrected_crops: int64
unchanged_verified_crops: int64
rows_with_populated_feature_labels: int64
pool_positive_ids: list<item: string>
child 0, item: string
pool_negative_ids: list<item: string>
child 0, item: string
medium_confidence_shed_count_ids: list<item: string>
child 0, item: string
dropped_ids: list<item: string>
child 0, item: string
sha256_all_pngs_match_metadata: bool
to
{'idx': Value('string'), 'rgb_match': Value('bool'), 'source_date': Value('timestamp[s]'), 'size_px': List(Value('int64')), 'pixel_size_m': List(Value('float64')), 'png_sha256': Value('string'), 'alpha_mask_extrema': List(Value('int64')), 'valid_coverage_fraction': Value('float64')}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1379, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
idx string | rgb_match bool | source_date timestamp[us] | size_px list | pixel_size_m list | png_sha256 string | alpha_mask_extrema list | valid_coverage_fraction float64 |
|---|---|---|---|---|---|---|---|
07 | true | 2023-10-17T16:00:00 | [
821,
818
] | [
0.2999776263,
0.2999157778
] | 3ef476de3beb15f721b37f8e4da3576a1ed13aa595637782b2575183d85d39e8 | [
255,
255
] | 1 |
08 | true | 2023-05-17T16:00:00 | [
813,
810
] | [
0.3000338498,
0.2999546629
] | 6f182afa871d2e489568cf9790cf25bb5ea864dc3deb25f691ab22c66cbc0f01 | [
255,
255
] | 1 |
09 | true | 2023-07-22T16:00:00 | [
814,
810
] | [
0.2999254505,
0.3001819581
] | 356afe801606eb18c3ca472af1568be010aba88b143198ffff2ec4de8347c1da | [
255,
255
] | 1 |
11 | true | 2023-07-22T16:00:00 | [
814,
811
] | [
0.2999869849,
0.2998736995
] | 85f02e1c77dbc217b600cfe7135b87f9d8f971418663f0866c0bd4b382c61771 | [
255,
255
] | 1 |
12 | true | 2023-08-18T16:00:00 | [
803,
800
] | [
0.3001250562,
0.3000321426
] | 2b04cdce2a17de7081ae1b3699af08db36d767b64023c659c6f181bb521cb89a | [
255,
255
] | 1 |
13 | true | 2023-08-08T16:00:00 | [
811,
807
] | [
0.2998586194,
0.3001455361
] | 657a180f8e42ef6e9c9bd953c3c94352ad85ae0c2e3cbb28e119811596371f2b | [
255,
255
] | 1 |
14 | true | 2023-07-04T16:00:00 | [
902,
898
] | [
0.2999471974,
0.3000365851
] | 67da85f53b19dd8a39b469e6d4f3a131413a6801da5c1cbf588ce50be5d3f598 | [
255,
255
] | 1 |
16 | true | 2023-08-16T16:00:00 | [
1429,
1423
] | [
0.2999393355,
0.3000224747
] | c554a8dee7938050f09c88f007a5ea0ad8aed9fdef9069f907e81658ad3206f1 | [
255,
255
] | 1 |
17 | true | 2023-06-20T16:00:00 | [
1026,
1022
] | [
0.2999213304,
0.2999095352
] | 341dd50f799ff8c0d2b09be2006dd18d945a7d5bca1805d6b1d1a6e2208bb337 | [
255,
255
] | 1 |
18 | true | 2023-06-17T16:00:00 | [
1417,
1411
] | [
0.3000063679,
0.3000684353
] | ed0d6a686376cde22eb0454ea128498e58a203ddb92c0755215d2303fb7e6fd5 | [
255,
255
] | 1 |
19 | true | 2023-08-21T16:00:00 | [
1857,
1850
] | [
0.2999671839,
0.2999668254
] | fec751552a5c1cccedacf1ab2ee8ffabd45b7ee8d2c7aa63a4f227ad3dbbb35b | [
255,
255
] | 1 |
20 | true | 2023-07-23T16:00:00 | [
1205,
1200
] | [
0.3000121969,
0.3000022886
] | 7a29c160524dcdf03cf0d215aecc993fa99dd2dda45a1a2029415a8c39f86160 | [
255,
255
] | 1 |
null | null | null | null | null | null | null | null |
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