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The dataset generation failed
Error code: DatasetGenerationError Exception: ArrowInvalid Message: Float value 17.29 was truncated converting to int64 Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1869, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 580, 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 2292, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2245, in cast_table_to_schema arrays = [ File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, 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 2102, 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: Float value 17.29 was truncated converting to 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 1392, 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 1041, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 999, 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 1740, 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 1896, 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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age
int64 | sex
string | bmi
float64 | children
int64 | smoker
string | region
string | prediction
float64 |
---|---|---|---|---|---|---|
60 | male | 72 | 2 | no | northwest | 28,219.275589 |
44 | female | 23 | 0 | yes | southwest | 29,970.170203 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
30 | female | 30 | 2 | no | southwest | 5,931.586896 |
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