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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: Failed to parse string: 'middle aged' as a scalar of type int64
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2223, in cast_table_to_schema
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2224, in <listcomp>
cast_array_to_feature(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, 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 1795, 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 2052, in cast_array_to_feature
casted_array_values = _c(array.values, feature.feature)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2086, in cast_array_to_feature
return array_cast(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1949, 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: 'middle aged' as a scalar of type int64
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 1451, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, 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 1858, 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.
gender
list | race
list | age
list |
|---|---|---|
[
"female"
] |
[
"caucasian"
] |
[
25
] |
[
"female"
] |
[
"caucasian"
] |
[
25
] |
[
"female"
] |
[
"caucasian"
] |
[
25
] |
[
"female"
] |
[
"caucasian"
] |
[
25
] |
[
"female"
] |
[
"caucasian"
] |
[
30
] |
[
"female"
] |
[
"caucasian"
] |
[
25
] |
[
"female"
] |
[
"caucasian"
] |
[
30
] |
[
"female"
] |
[
"caucasian"
] |
[
30
] |
[
"female"
] |
[
"caucasian"
] |
[
30
] |
[
"female"
] |
[
"african"
] |
[
25
] |
[
"female"
] |
[
"middle eastern"
] |
[
30
] |
[
"male"
] |
[
"caucasian"
] |
[
50
] |
[
"female"
] |
[
"caucasian"
] |
[
25
] |
[
"female"
] |
[
"middle eastern"
] |
[
35
] |
[
"male"
] |
[
"caucasian"
] |
[
50
] |
[
"female"
] |
[
"middle eastern"
] |
[
60
] |
[
"female"
] |
[
"caucasian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
50
] |
[
"female"
] |
[
"caucasian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
60
] |
[
"male"
] |
[
"caucasian"
] |
[
60
] |
[
"male"
] |
[
"caucasian"
] |
[
70
] |
[
"male"
] |
[
"caucasian"
] |
[
60
] |
[
"male"
] |
[
"caucasian"
] |
[
70
] |
[
"male"
] |
[
"caucasian"
] |
[
70
] |
[
"male"
] |
[
"caucasian"
] |
[
70
] |
[
"male"
] |
[
"caucasian"
] |
[
50
] |
[
"male"
] |
[
"caucasian"
] |
[
70
] |
[
"male"
] |
[
"caucasian"
] |
[
35
] |
[
"male"
] |
[
"caucasian"
] |
[
30
] |
[
"male"
] |
[
"caucasian"
] |
[
35
] |
[
"male"
] |
[
"caucasian"
] |
[
30
] |
[
"male"
] |
[
"caucasian"
] |
[
35
] |
[
"male"
] |
[
"caucasian"
] |
[
30
] |
[
"male"
] |
[
"caucasian"
] |
[
30
] |
[
"female"
] |
[
"caucasian"
] |
[
25
] |
[
"female"
] |
[
"caucasian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
30
] |
[
"male"
] |
[
"caucasian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
30
] |
[
"male"
] |
[
"caucasian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
25
] |
[
"female"
] |
[
"caucasian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
25
] |
[
"female"
] |
[
"caucasian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
25
] |
[
"female"
] |
[
"asian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
25
] |
[
"female"
] |
[
"caucasian"
] |
[
25
] |
[
"female"
] |
[
"caucasian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
25
] |
[
"male"
] |
[
"caucasian"
] |
[
35
] |
[
"male"
] |
[
"caucasian"
] |
[
30
] |
[
"male"
] |
[
"caucasian"
] |
[
35
] |
[
"male"
] |
[
"caucasian"
] |
[
35
] |
[
"male"
] |
[
"caucasian"
] |
[
45
] |
[
"male"
] |
[
"caucasian"
] |
[
30
] |
[
"male"
] |
[
"caucasian"
] |
[
45
] |
[
"male"
] |
[
"caucasian"
] |
[
35
] |
[
"male"
] |
[
"caucasian"
] |
[
35
] |
[
"male"
] |
[
"caucasian"
] |
[
35
] |
[
"male"
] |
[
"caucasian"
] |
[
50
] |
[
"male"
] |
[
"caucasian"
] |
[
60
] |
[
"male"
] |
[
"asian"
] |
[
35
] |
[
"male"
] |
[
"caucasian"
] |
[
60
] |
[
"male"
] |
[
"caucasian"
] |
[
65
] |
[
"male"
] |
[
"caucasian"
] |
[
60
] |
[
"male"
] |
[
"caucasian"
] |
[
65
] |
[
"male"
] |
[
"caucasian"
] |
[
75
] |
[
"male"
] |
[
"caucasian"
] |
[
50
] |
[
"male"
] |
[
"caucasian"
] |
[
50
] |
[
"male"
] |
[
"caucasian"
] |
[
45
] |
[
"male"
] |
[
"caucasian"
] |
[
40
] |
[
"female"
] |
[
"caucasian"
] |
[
35
] |
[
"female"
] |
[
"caucasian"
] |
[
35
] |
[
"male"
] |
[
"caucasian"
] |
[
35
] |
[
"female"
] |
[
"middle eastern"
] |
[
30
] |
[
"male"
] |
[
"caucasian"
] |
[
35
] |
[
"female"
] |
[
"caucasian"
] |
[
35
] |
[
"female"
] |
[
"asian"
] |
[
35
] |
[
"female"
] |
[
"caucasian"
] |
[
35
] |
[
"male"
] |
[
"caucasian"
] |
[
45
] |
[
"male"
] |
[
"caucasian"
] |
[
60
] |
[
"male"
] |
[
"african"
] |
[
45
] |
[
"male"
] |
[
"african"
] |
[
45
] |
[
"male"
] |
[
"african"
] |
[
50
] |
[
"male"
] |
[
"caucasian"
] |
[
45
] |
[
"male"
] |
[
"african"
] |
[
35
] |
[
"male"
] |
[
"african"
] |
[
50
] |
[
"male"
] |
[
"caucasian"
] |
[
45
] |
[
"male"
] |
[
"african"
] |
[
50
] |
[
"male"
] |
[
"latino"
] |
[
40
] |
[
"male"
] |
[
"caucasian"
] |
[
35
] |
End of preview.
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