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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 dataset

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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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