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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
text: string
metadata: struct<WARC-Type: string, WARC-Date: timestamp[s], WARC-Record-ID: string, Content-Length: string, C (... 180 chars omitted)
child 0, WARC-Type: string
child 1, WARC-Date: timestamp[s]
child 2, WARC-Record-ID: string
child 3, Content-Length: string
child 4, Content-Type: string
child 5, WARC-Warcinfo-ID: string
child 6, WARC-Concurrent-To: string
child 7, WARC-IP-Address: string
child 8, WARC-Target-URI: string
child 9, WARC-Payload-Digest: string
child 10, WARC-Block-Digest: string
warcinfo: string
shard: string
num_sequences: int64
to
{'num_sequences': Value('int64'), 'shard': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
text: string
metadata: struct<WARC-Type: string, WARC-Date: timestamp[s], WARC-Record-ID: string, Content-Length: string, C (... 180 chars omitted)
child 0, WARC-Type: string
child 1, WARC-Date: timestamp[s]
child 2, WARC-Record-ID: string
child 3, Content-Length: string
child 4, Content-Type: string
child 5, WARC-Warcinfo-ID: string
child 6, WARC-Concurrent-To: string
child 7, WARC-IP-Address: string
child 8, WARC-Target-URI: string
child 9, WARC-Payload-Digest: string
child 10, WARC-Block-Digest: string
warcinfo: string
shard: string
num_sequences: int64
to
{'num_sequences': Value('int64'), 'shard': Value('string')}
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 1369, 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 948, 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 1694, 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 1880, 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.
num_sequences int64 | shard string |
|---|---|
8,192 | shard_00000000 |
8,192 | shard_00000001 |
8,192 | shard_00000002 |
8,192 | shard_00000004 |
8,192 | shard_00000003 |
8,192 | shard_00000008 |
8,192 | shard_00000005 |
8,192 | shard_00000010 |
8,192 | shard_00000014 |
8,192 | shard_00000009 |
8,192 | shard_00000017 |
8,192 | shard_00000020 |
8,192 | shard_00000025 |
8,192 | shard_00000029 |
8,192 | shard_00000006 |
8,192 | shard_00000007 |
8,192 | shard_00000011 |
8,192 | shard_00000021 |
8,192 | shard_00000019 |
8,192 | shard_00000018 |
8,192 | shard_00000016 |
8,192 | shard_00000015 |
8,192 | shard_00000013 |
8,192 | shard_00000012 |
8,192 | shard_00000023 |
8,192 | shard_00000030 |
8,192 | shard_00000027 |
8,192 | shard_00000028 |
8,192 | shard_00000032 |
8,192 | shard_00000024 |
8,192 | shard_00000022 |
8,192 | shard_00000026 |
8,192 | shard_00000031 |
8,192 | shard_00000033 |
8,192 | shard_00000034 |
8,192 | shard_00000035 |
8,192 | shard_00000036 |
8,192 | shard_00000037 |
8,192 | shard_00000038 |
8,192 | shard_00000039 |
8,192 | shard_00000040 |
8,192 | shard_00000041 |
8,192 | shard_00000042 |
8,192 | shard_00000043 |
8,192 | shard_00000044 |
8,192 | shard_00000045 |
8,192 | shard_00000046 |
8,192 | shard_00000047 |
8,192 | shard_00000048 |
8,192 | shard_00000049 |
8,192 | shard_00000050 |
8,192 | shard_00000051 |
8,192 | shard_00000052 |
8,192 | shard_00000053 |
8,192 | shard_00000054 |
8,192 | shard_00000055 |
8,192 | shard_00000056 |
8,192 | shard_00000057 |
8,192 | shard_00000058 |
8,192 | shard_00000059 |
8,192 | shard_00000060 |
8,192 | shard_00000061 |
8,192 | shard_00000062 |
8,192 | shard_00000063 |
8,192 | shard_00000064 |
8,192 | shard_00000065 |
8,192 | shard_00000066 |
8,192 | shard_00000067 |
8,192 | shard_00000068 |
8,192 | shard_00000069 |
8,192 | shard_00000070 |
8,192 | shard_00000071 |
8,192 | shard_00000072 |
8,192 | shard_00000073 |
8,192 | shard_00000074 |
8,192 | shard_00000075 |
8,192 | shard_00000076 |
8,192 | shard_00000077 |
8,192 | shard_00000078 |
8,192 | shard_00000079 |
8,192 | shard_00000080 |
8,192 | shard_00000081 |
8,192 | shard_00000082 |
8,192 | shard_00000083 |
8,192 | shard_00000084 |
8,192 | shard_00000085 |
8,192 | shard_00000086 |
8,192 | shard_00000087 |
8,192 | shard_00000088 |
8,192 | shard_00000089 |
8,192 | shard_00000090 |
8,192 | shard_00000091 |
8,192 | shard_00000092 |
8,192 | shard_00000093 |
8,192 | shard_00000094 |
8,192 | shard_00000095 |
8,192 | shard_00000096 |
8,192 | shard_00000097 |
8,192 | shard_00000098 |
8,192 | shard_00000099 |
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