farouk97/autotrain-test7-2644pc-linearregr-38619101723
Tabular Regression
•
Updated
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2
Error code: DatasetGenerationError Exception: ArrowNotImplementedError Message: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field. 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 583, in write_table self._build_writer(inferred_schema=pa_table.schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer self.pa_writer = self._WRITER_CLASS(self.stream, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__ self.writer = _parquet.ParquetWriter( File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__ 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.ArrowNotImplementedError: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2027, in _prepare_split_single num_examples, num_bytes = writer.finalize() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 602, in finalize self._build_writer(self.schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 404, in _build_writer self.pa_writer = self._WRITER_CLASS(self.stream, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 1010, in __init__ self.writer = _parquet.ParquetWriter( File "pyarrow/_parquet.pyx", line 2157, in pyarrow._parquet.ParquetWriter.__cinit__ 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.ArrowNotImplementedError: Cannot write struct type '_format_kwargs' with no child field to Parquet. Consider adding a dummy child field. 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 dataset
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_data_files
list | _fingerprint
string | _format_columns
sequence | _format_kwargs
dict | _format_type
null | _indexes
dict | _output_all_columns
bool | _split
null |
---|---|---|---|---|---|---|---|
[
{
"filename": "dataset.arrow"
}
] | 94ee23071b8b7471 | [
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"target"
] | {} | null | {} | false | null |
This dataset has been automatically processed by AutoTrain for project test7-2644pc-linearregr.
The BCP-47 code for the dataset's language is unk.
A sample from this dataset looks as follows:
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"target": 0.6000000238418579
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7805.00000005, 735.000000000, 3600.00000000; 7805.00000005, 667.000070530, 3600.00000000; 7805.00000005, 527.000070531, 3600.00000000; 7805.00000005, -527.000070531, 3600.00000000; 7805.00000005, -667.000070530, 3600.00000000; 7805.00000005, -735.000000000, 3600.00000000; 7805.00000005, -765.000000000, 3600.00000000; 7805.00000005, -1770.00000000, 3600.00000000; 7805.00000005, -1795.00000000, 3575.00000000; 7805.00000004, -1795.00000000, 3320.00000000; 7805.00000004, -1795.00000000, 3261.50000000; 7805.00000004, -1795.00000000, 3020.00000000; 7805.00000003, -1795.00000000, 2961.50000000; 7805.00000003, -1795.00000000, 2720.00000000; 7805.00000003, -1795.00000000, 2661.50000000; 7805.00000002, -1795.00000000, 2285.59792389; 7805.00000001, -1795.00000000, 2227.09792389; 7805.00000001, -1795.00000000, 2003.90933326; 7805.00000001, -1755.35964407, 1958.55749414; 7805.00000001, -1516.56547419, 1926.59499253; 7805.00000001, -1458.15808074, 1918.02878546; 7805.00000000, -1219.12830106, 1880.84760331; 7805.00000000, -1160.86119679, 1871.43407710; 7805.00000000, -920.784971859, 1831.60977726; 7805.00000000, -862.570272591, 1821.70376322; 7805.00000000, -764.775277230, 1804.83636630; 7805.00000000, -735.227253440, 1799.67601843; 7805.00000000, -624.022787646, 1780.01755247; 7805.00000000, -565.026201539, 1769.40887814; 7805.00000000, -319.656078024, 1723.60243939; 7805.00000000, -261.682389490, 1712.25453398; 7805.00000000, -127.960861526, 1684.86226558; 7805.00000002, -94.9238939616, 2441.53322511;": "18300.0000003, 5397.38734591, 1375.21804970; 18300.0000003, 5110.91654501, 1253.74141186; 18300.0000003, 5086.16013667, 1267.14799650; 18300.0000003, 5069.24096063, 1325.02019760; 18300.0000003, 5382.43313234, 1435.59267926; 18300.0000003, 5403.61548643, 1402.54333077; 18305.0000003, 5397.38734591, 1375.21804970; 18305.0000003, 5110.91654501, 1253.74141186; 18305.0000003, 5086.16013667, 1267.14799650; 18305.0000003, 5069.24096063, 1325.02019760; 18305.0000003, 5382.43313234, 1435.59267926; 18305.0000003, 5403.61548643, 1402.54333077;",
"target": 0.5
}
]
The dataset has the following fields (also called "features"):
{
"feat_7800.00000002, 94.9238939621, 2441.53322511; 7800.00000000, 127.960861494, 1684.86226632; 7800.00000000, 261.682389404, 1712.25453458; 7800.00000000, 319.656077938, 1723.60243999; 7800.00000000, 565.026201539, 1769.40887871; 7800.00000000, 624.022787646, 1780.01755304; 7800.00000000, 735.227253344, 1799.67601898; 7800.00000000, 764.775277230, 1804.83636630; 7800.00000000, 862.570272591, 1821.70376322; 7800.00000000, 920.784971860, 1831.60977726; 7800.00000000, 1160.86119679, 1871.43407710; 7800.00000000, 1219.12830106, 1880.84760331; 7800.00000000, 1458.15808074, 1918.02878546; 7800.00000000, 1516.56547419, 1926.59499253; 7800.00000000, 1635.13187766, 1943.13091879; 7800.00000000, 1664.87088003, 1947.07950093; 7800.00000000, 1755.35964407, 1958.55749414; 7800.00000000, 1795.00000000, 2003.90933326; 7800.00000001, 1795.00000000, 2227.09792389; 7800.00000001, 1795.00000000, 2285.59792389; 7800.00000002, 1795.00000000, 2661.5; 7800.00000002, 1795.00000000, 2720.00000000; 7800.00000003, 1795.00000000, 2961.50000000; 7800.00000003, 1795.00000000, 3020.00000000; 7800.00000003, 1795.00000000, 3261.5; 7800.00000004, 1795.00000000, 3320.00000000; 7800.00000004, 1795.00000000, 3575.00000000; 7800.00000004, 1770.00000000, 3600.00000000; 7800.00000005, 765.0, 3600.00000000; 7800.00000005, 735.0, 3600.00000000; 7800.00000005, 667.000070530, 3600.00000000; 7800.00000005, 527.000070531, 3600.00000000; 7800.00000005, -527.000070531, 3600.00000000; 7800.00000005, -667.000070530, 3600.00000000; 7800.00000005, -735.000000000, 3600.00000000; 7800.00000005, -765.000000000, 3600.00000000; 7800.00000005, -1770.00000000, 3600.00000000; 7800.00000005, -1795.00000000, 3575.00000000; 7800.00000004, -1795.00000000, 3320.00000000; 7800.00000004, -1795.00000000, 3261.50000000; 7800.00000004, -1795.00000000, 3020.00000000; 7800.00000003, -1795.00000000, 2961.50000000; 7800.00000003, -1795.00000000, 2720.0; 7800.00000003, -1795.00000000, 2661.5; 7800.00000002, -1795.00000000, 2285.59792389; 7800.00000001, -1795.00000000, 2227.09792389; 7800.00000001, -1795.00000000, 2003.90933326; 7800.00000001, -1755.35964407, 1958.55749414; 7800.00000001, -1516.56547419, 1926.59499253; 7800.00000001, -1458.15808074, 1918.02878546; 7800.00000000, -1219.12830106, 1880.84760331; 7800.00000000, -1160.86119679, 1871.43407710; 7800.00000000, -920.784971860, 1831.60977726; 7800.00000000, -862.570272591, 1821.70376322; 7800.00000000, -764.775277230, 1804.83636630; 7800.00000000, -735.227253440, 1799.67601843; 7800.00000000, -624.022787646, 1780.01755247; 7800.00000000, -565.026201539, 1769.40887814; 7800.00000000, -319.656078024, 1723.60243939; 7800.00000000, -261.682389490, 1712.25453398; 7800.00000000, -127.960861526, 1684.86226558; 7800.00000002, -94.9238939616, 2441.53322511; 7805.00000002, 94.9238939621, 2441.53322511; 7805.00000000, 127.960861494, 1684.86226632; 7805.00000000, 261.682389404, 1712.25453458; 7805.00000000, 319.656077938, 1723.60243999; 7805.00000000, 565.026201539, 1769.40887871; 7805.00000000, 624.022787646, 1780.01755304; 7805.00000000, 735.227253344, 1799.67601898; 7805.00000000, 764.775277230, 1804.83636630; 7805.00000000, 862.570272591, 1821.70376322; 7805.00000000, 920.784971860, 1831.60977726; 7805.00000000, 1160.86119679, 1871.43407710; 7805.00000000, 1219.12830106, 1880.84760331; 7805.00000000, 1458.15808074, 1918.02878546; 7805.00000000, 1516.56547419, 1926.59499253; 7805.00000000, 1635.13187766, 1943.13091879; 7805.00000000, 1664.87088003, 1947.07950093; 7805.00000000, 1755.35964407, 1958.55749414; 7805.00000000, 1795.00000000, 2003.90933326; 7805.00000001, 1795.00000000, 2227.09792389; 7805.00000001, 1795.00000000, 2285.59792389; 7805.00000002, 1795.00000000, 2661.50000000; 7805.00000002, 1795.00000000, 2720.00000000; 7805.00000003, 1795.00000000, 2961.50000000; 7805.00000003, 1795.00000000, 3020.00000000; 7805.00000003, 1795.00000000, 3261.50000000; 7805.00000004, 1795.00000000, 3320.00000000; 7805.00000004, 1795.00000000, 3575.00000000; 7805.00000004, 1770.00000000, 3600.00000000; 7805.00000005, 765.000000000, 3600.00000000; 7805.00000005, 735.000000000, 3600.00000000; 7805.00000005, 667.000070530, 3600.00000000; 7805.00000005, 527.000070531, 3600.00000000; 7805.00000005, -527.000070531, 3600.00000000; 7805.00000005, -667.000070530, 3600.00000000; 7805.00000005, -735.000000000, 3600.00000000; 7805.00000005, -765.000000000, 3600.00000000; 7805.00000005, -1770.00000000, 3600.00000000; 7805.00000005, -1795.00000000, 3575.00000000; 7805.00000004, -1795.00000000, 3320.00000000; 7805.00000004, -1795.00000000, 3261.50000000; 7805.00000004, -1795.00000000, 3020.00000000; 7805.00000003, -1795.00000000, 2961.50000000; 7805.00000003, -1795.00000000, 2720.00000000; 7805.00000003, -1795.00000000, 2661.50000000; 7805.00000002, -1795.00000000, 2285.59792389; 7805.00000001, -1795.00000000, 2227.09792389; 7805.00000001, -1795.00000000, 2003.90933326; 7805.00000001, -1755.35964407, 1958.55749414; 7805.00000001, -1516.56547419, 1926.59499253; 7805.00000001, -1458.15808074, 1918.02878546; 7805.00000000, -1219.12830106, 1880.84760331; 7805.00000000, -1160.86119679, 1871.43407710; 7805.00000000, -920.784971859, 1831.60977726; 7805.00000000, -862.570272591, 1821.70376322; 7805.00000000, -764.775277230, 1804.83636630; 7805.00000000, -735.227253440, 1799.67601843; 7805.00000000, -624.022787646, 1780.01755247; 7805.00000000, -565.026201539, 1769.40887814; 7805.00000000, -319.656078024, 1723.60243939; 7805.00000000, -261.682389490, 1712.25453398; 7805.00000000, -127.960861526, 1684.86226558; 7805.00000002, -94.9238939616, 2441.53322511;": "Value(dtype='string', id=None)",
"target": "Value(dtype='float32', id=None)"
}
This dataset is split into a train and validation split. The split sizes are as follow:
Split name | Num samples |
---|---|
train | 2113 |
valid | 530 |