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The dataset generation failed
Error code: DatasetGenerationError Exception: ArrowInvalid Message: Float value 300.5 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 1870, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 300.5 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 1420, 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 1052, 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 1000, 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 1741, 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 1897, 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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Air temperature [K]
float64 | Process temperature [K]
float64 | Rotational speed [rpm]
int64 | Torque [Nm]
float64 | Tool wear [min]
int64 | Type
string | prediction
int64 |
---|---|---|---|---|---|---|
100 | 30 | 500 | 7 | 50 | L | 1 |
10 | 4 | 60 | 90 | 57 | M | 0 |
1,000 | 500 | 40 | 53 | 100 | L | 1 |
1,000 | 200 | 40 | 53 | 100 | L | 1 |
200 | 200 | 40 | 53 | 100 | L | 0 |
300.5 | 310.5 | 1,695 | 26.7 | 28 | L | 0 |
301.1 | 310.6 | 1,310 | 48.8 | 103 | M | 0 |
301 | 310.9 | 1,479 | 44.3 | 194 | L | 0 |
302.2 | 311.5 | 1,427 | 43.8 | 88 | L | 0 |
297.4 | 308.5 | 1,782 | 25.9 | 54 | L | 0 |
299 | 309 | 1,575 | 35.3 | 47 | M | 0 |
298 | 309.2 | 1,527 | 39.5 | 85 | L | 0 |
300.1 | 311.3 | 1,495 | 41 | 193 | M | 0 |
298.9 | 310 | 1,456 | 43.8 | 15 | M | 0 |
298.3 | 307.8 | 1,485 | 42 | 13 | M | 0 |
300 | 309.6 | 1,618 | 28.7 | 53 | L | 0 |
300.6 | 310.4 | 2,514 | 13.4 | 215 | L | 1 |
298 | 309 | 1,439 | 38.5 | 34 | M | 0 |
301.3 | 310.7 | 1,516 | 46 | 119 | L | 0 |
301.6 | 310.5 | 1,809 | 25.5 | 40 | L | 0 |
302.2 | 310.8 | 2,203 | 16.6 | 47 | L | 0 |
298.7 | 309.6 | 1,502 | 46.7 | 198 | L | 0 |
300.7 | 311.1 | 1,373 | 49.9 | 96 | M | 0 |
298.3 | 308.8 | 1,645 | 30.4 | 33 | L | 0 |
297.2 | 308.4 | 1,460 | 42.1 | 41 | L | 0 |
300.6 | 310.7 | 1,654 | 32 | 180 | M | 0 |
301.8 | 310.8 | 1,508 | 38.8 | 96 | M | 0 |
297.8 | 307.7 | 1,393 | 38 | 29 | L | 0 |
301.5 | 310.5 | 1,702 | 28.7 | 135 | L | 0 |
300.4 | 309.8 | 1,421 | 47.2 | 0 | M | 0 |
301.6 | 310.8 | 1,564 | 34.1 | 150 | L | 0 |
301.2 | 311 | 1,596 | 37.2 | 219 | L | 0 |
301.4 | 310.4 | 1,689 | 30.6 | 110 | L | 0 |
302 | 310.4 | 1,611 | 35.6 | 117 | L | 0 |
303.5 | 312.4 | 1,340 | 44.5 | 76 | L | 0 |
298.5 | 309.9 | 1,482 | 42.1 | 15 | L | 0 |
301 | 311 | 1,581 | 37 | 127 | L | 0 |
300.2 | 309.9 | 1,566 | 36.4 | 170 | L | 0 |
300.4 | 311.6 | 1,674 | 33 | 172 | L | 0 |
301.1 | 311.1 | 1,570 | 41.6 | 202 | L | 0 |
297.4 | 309 | 1,324 | 56.9 | 173 | L | 0 |
301.6 | 310.9 | 1,532 | 43.6 | 15 | L | 0 |
299.2 | 308.9 | 1,712 | 26.4 | 95 | H | 0 |
298.8 | 308.5 | 1,711 | 28.5 | 140 | M | 0 |
298.9 | 310.2 | 1,696 | 30.2 | 214 | L | 0 |
300.5 | 311.6 | 1,525 | 37.6 | 191 | L | 0 |
300.4 | 311.2 | 1,673 | 28.9 | 171 | L | 0 |
299.1 | 308.3 | 1,325 | 46.9 | 28 | L | 0 |
301.3 | 310.1 | 1,662 | 31 | 37 | L | 0 |
297.8 | 307.5 | 1,581 | 33.1 | 116 | L | 0 |
297.4 | 308.3 | 1,535 | 34.6 | 51 | M | 0 |
304.4 | 313.7 | 1,607 | 33.5 | 5 | L | 0 |
298 | 308 | 1,433 | 39.2 | 87 | L | 0 |
300.1 | 311.3 | 1,518 | 40.2 | 130 | M | 0 |
300.7 | 309.3 | 1,425 | 45.3 | 100 | L | 0 |
296.8 | 307.4 | 1,455 | 49.9 | 102 | M | 0 |
297.6 | 309.6 | 1,278 | 50.4 | 2 | H | 0 |
297.2 | 308.1 | 1,662 | 31.3 | 0 | L | 0 |
297.7 | 307.3 | 1,365 | 49.2 | 36 | M | 0 |
303.7 | 312.4 | 1,642 | 32.3 | 206 | M | 0 |
302.4 | 310.2 | 1,633 | 28 | 164 | L | 0 |
303.4 | 311.8 | 1,564 | 35.9 | 171 | L | 0 |
302.1 | 310.8 | 1,565 | 35.3 | 6 | L | 0 |
302.4 | 312 | 1,457 | 43.4 | 23 | H | 0 |
298.3 | 307.9 | 1,507 | 41.2 | 149 | L | 0 |
297.7 | 309.6 | 1,529 | 35.2 | 153 | L | 0 |
300.4 | 312 | 1,631 | 34.9 | 115 | L | 0 |
298.1 | 307.8 | 1,524 | 40.8 | 71 | L | 0 |
300.8 | 311.3 | 1,462 | 41.4 | 75 | L | 0 |
300.4 | 311.6 | 1,200 | 76.6 | 3 | L | 0 |
301.3 | 311.3 | 1,509 | 42.5 | 213 | L | 0 |
298.8 | 309.6 | 1,523 | 41.9 | 165 | L | 0 |
300.1 | 311.6 | 1,589 | 37.9 | 37 | H | 0 |
300.1 | 309.3 | 1,841 | 23 | 125 | L | 0 |
303.5 | 312.6 | 1,405 | 51.6 | 62 | M | 0 |
298.8 | 308.7 | 1,445 | 48.5 | 70 | L | 0 |
301.5 | 310.9 | 1,600 | 39 | 160 | L | 0 |
303.4 | 311.8 | 1,438 | 58.9 | 22 | L | 0 |
297.5 | 309.3 | 1,563 | 36.1 | 100 | H | 0 |
299.7 | 309.6 | 1,553 | 41 | 179 | H | 0 |
304.1 | 313.2 | 1,412 | 47.5 | 150 | L | 0 |
298.1 | 308.4 | 1,438 | 45.6 | 105 | L | 0 |
300.7 | 311.8 | 1,407 | 42.4 | 224 | M | 0 |
302 | 310.9 | 1,663 | 31.5 | 81 | L | 0 |
303.4 | 311.9 | 1,531 | 37.9 | 203 | L | 0 |
302.6 | 312.1 | 1,502 | 47.3 | 171 | L | 0 |
302.4 | 311.8 | 1,539 | 39.9 | 101 | M | 0 |
301.3 | 311 | 1,463 | 50.2 | 214 | M | 0 |
302.9 | 312.2 | 1,510 | 41.4 | 94 | L | 0 |
301 | 310.8 | 1,475 | 35.3 | 19 | L | 0 |
301 | 311.1 | 1,420 | 47.4 | 167 | M | 0 |
303.7 | 312.7 | 1,468 | 43.3 | 168 | L | 0 |
300.9 | 310.7 | 1,517 | 41.7 | 210 | L | 0 |
302.3 | 310.8 | 1,723 | 26.3 | 213 | L | 0 |
297.9 | 307.5 | 1,602 | 38.3 | 21 | L | 0 |
298 | 308.3 | 1,473 | 42.6 | 107 | L | 0 |
300.1 | 309.3 | 1,654 | 31 | 201 | L | 0 |
297.5 | 308.7 | 1,697 | 28.1 | 107 | M | 0 |
300.4 | 309.6 | 1,432 | 44.7 | 192 | L | 0 |
298.4 | 308.9 | 1,402 | 44.8 | 201 | L | 0 |
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