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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
id: string
query: string
instruction: string
labels: string
category: string
embed: list<item: double>
  child 0, item: double
embed_model: string
-- schema metadata --
huggingface: '{"info": {"features": {"id": {"dtype": "string", "_type": "' + 349
to
{'indices': Value('uint64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/arrow/arrow.py", line 74, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/arrow/arrow.py", line 54, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              query: string
              instruction: string
              labels: string
              category: string
              embed: list<item: double>
                child 0, item: double
              embed_model: string
              -- schema metadata --
              huggingface: '{"info": {"features": {"id": {"dtype": "string", "_type": "' + 349
              to
              {'indices': Value('uint64')}
              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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1922, 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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indices
uint64
5,050
5,051
5,052
5,053
5,054
5,055
5,056
5,057
5,058
5,059
5,060
5,061
5,062
5,063
5,064
5,065
5,066
5,067
5,068
5,069
5,070
5,071
5,072
5,073
5,074
5,075
5,076
5,077
5,078
5,079
5,080
5,081
5,082
5,083
5,084
5,085
5,086
5,087
5,088
5,089
5,090
5,091
5,092
5,093
5,094
5,095
5,096
5,097
5,098
5,099
5,100
5,101
5,102
5,103
5,104
5,105
5,106
5,107
5,108
5,109
5,110
5,111
5,112
5,113
5,114
5,115
5,116
5,117
5,118
5,119
5,120
5,121
5,122
5,123
5,124
5,125
5,126
5,127
5,128
5,129
5,130
5,131
5,132
5,133
5,134
5,135
5,136
5,137
5,138
5,139
5,140
5,141
5,142
5,143
5,144
5,145
5,146
5,147
5,148
5,149
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