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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: Failed to parse string: '2017-01-21T18:43:18+00:00' as a scalar of type timestamp[s]: expected no zone offset.
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 2261, in cast_table_to_schema
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp>
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2116, in cast_array_to_feature
return array_cast(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1963, in array_cast
return array.cast(pa_type)
File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast
return call_function("cast", [arr], options, memory_pool)
File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function
File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Failed to parse string: '2017-01-21T18:43:18+00:00' as a scalar of type timestamp[s]: expected no zone offset.
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 1529, 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 1154, 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 2038, 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.
id
string | date
timestamp[us] |
|---|---|
clueweb09-en0035-27-08393
| 0001-01-01T00:00:00
|
clueweb09-en0049-35-04271
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11774
| 0001-01-01T00:00:00
|
clueweb09-en0091-60-10459
| 0001-01-01T00:00:00
|
clueweb09-en0104-22-35625
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00434
| 0001-01-01T00:00:00
|
clueweb09-en0118-07-33059
| 0001-01-01T00:00:00
|
clueweb09-en0049-35-04272
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11775
| 0001-01-01T00:00:00
|
clueweb09-en0091-60-10460
| 0001-01-01T00:00:00
|
clueweb09-en0104-22-35626
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00435
| 0001-01-01T00:00:00
|
clueweb09-en0118-07-33060
| 0001-01-01T00:00:00
|
clueweb09-en0049-35-04273
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11776
| 0001-01-01T00:00:00
|
clueweb09-en0091-60-10461
| 0001-01-01T00:00:00
|
clueweb09-en0104-22-35627
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00436
| 0001-01-01T00:00:00
|
clueweb09-en0118-07-33061
| 0001-01-01T00:00:00
|
clueweb09-en0049-35-04274
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11777
| 0001-01-01T00:00:00
|
clueweb09-en0091-60-10462
| 0001-01-01T00:00:00
|
clueweb09-en0104-22-35628
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00437
| 0001-01-01T00:00:00
|
clueweb09-en0118-07-33062
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11778
| 0001-01-01T00:00:00
|
clueweb09-en0091-60-10463
| 0001-01-01T00:00:00
|
clueweb09-en0104-22-35629
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00438
| 0001-01-01T00:00:00
|
clueweb09-en0112-30-31438
| 0001-01-01T00:00:00
|
clueweb09-en0118-07-33063
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11779
| 0001-01-01T00:00:00
|
clueweb09-en0091-60-10464
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00439
| 0001-01-01T00:00:00
|
clueweb09-en0118-07-33064
| 0001-01-01T00:00:00
|
clueweb09-en0049-35-04277
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11780
| 0001-01-01T00:00:00
|
clueweb09-en0091-60-10465
| 0001-01-01T00:00:00
|
clueweb09-en0104-22-35631
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00440
| 0001-01-01T00:00:00
|
clueweb09-en0118-07-33065
| 0001-01-01T00:00:00
|
clueweb09-en0049-35-04278
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11781
| 0001-01-01T00:00:00
|
clueweb09-en0091-60-10466
| 0001-01-01T00:00:00
|
clueweb09-en0104-22-35632
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00441
| 0001-01-01T00:00:00
|
clueweb09-en0118-07-33066
| 0001-01-01T00:00:00
|
clueweb09-en0049-35-04279
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11782
| 0001-01-01T00:00:00
|
clueweb09-en0091-60-10467
| 0001-01-01T00:00:00
|
clueweb09-en0104-22-35633
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00442
| 0001-01-01T00:00:00
|
clueweb09-en0118-07-33067
| 0001-01-01T00:00:00
|
clueweb09-en0021-70-06592
| 0001-01-01T00:00:00
|
clueweb09-en0049-35-04280
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11783
| 0001-01-01T00:00:00
|
clueweb09-en0091-60-10468
| 0001-01-01T00:00:00
|
clueweb09-en0104-22-35634
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00443
| 0001-01-01T00:00:00
|
clueweb09-en0118-07-33068
| 0001-01-01T00:00:00
|
clueweb09-en0049-35-04181
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11684
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00464
| 0001-01-01T00:00:00
|
clueweb09-en0118-07-33089
| 0001-01-01T00:00:00
|
clueweb09-en0021-70-06593
| 0001-01-01T00:00:00
|
clueweb09-en0049-35-04281
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11784
| 0001-01-01T00:00:00
|
clueweb09-en0091-60-10469
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00444
| 0001-01-01T00:00:00
|
clueweb09-en0118-07-33069
| 0001-01-01T00:00:00
|
clueweb09-en0049-35-04282
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11785
| 0001-01-01T00:00:00
|
clueweb09-en0091-60-10470
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00445
| 0001-01-01T00:00:00
|
clueweb09-en0118-07-33070
| 0001-01-01T00:00:00
|
clueweb09-en0119-07-05378
| 0001-01-01T00:00:00
|
clueweb09-en0021-70-06595
| 0001-01-01T00:00:00
|
clueweb09-en0049-35-04283
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11786
| 0001-01-01T00:00:00
|
clueweb09-en0091-60-10471
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00446
| 0001-01-01T00:00:00
|
clueweb09-en0118-07-33071
| 0001-01-01T00:00:00
|
clueweb09-en0119-07-05379
| 0001-01-01T00:00:00
|
clueweb09-en0021-70-06596
| 0001-01-01T00:00:00
|
clueweb09-en0049-35-04284
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11787
| 0001-01-01T00:00:00
|
clueweb09-en0091-60-10472
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00447
| 0001-01-01T00:00:00
|
clueweb09-en0118-07-33072
| 0001-01-01T00:00:00
|
clueweb09-en0021-70-06597
| 0001-01-01T00:00:00
|
clueweb09-en0049-35-04285
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11788
| 0001-01-01T00:00:00
|
clueweb09-en0091-60-10473
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00448
| 0001-01-01T00:00:00
|
clueweb09-en0118-07-33073
| 0001-01-01T00:00:00
|
clueweb09-en0119-07-05381
| 0001-01-01T00:00:00
|
clueweb09-en0049-35-04286
| 0001-01-01T00:00:00
|
clueweb09-en0063-37-11789
| 0001-01-01T00:00:00
|
clueweb09-en0091-60-10474
| 0001-01-01T00:00:00
|
clueweb09-en0104-89-00449
| 0001-01-01T00:00:00
|
End of preview.