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The dataset generation failed
Error code: DatasetGenerationError Exception: ArrowInvalid Message: Float value 301.6 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 301.6 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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Air temperature [K]
float64 | Process temperature [K]
float64 | Rotational speed [rpm]
int64 | Torque [Nm]
float64 | Tool wear [min]
int64 | Type
string | prediction
int64 |
---|---|---|---|---|---|---|
100 | 100 | 50 | 50 | 60 | null | 0 |
1,000 | 10,000 | 50 | 50 | 60 | null | 0 |
1,000 | 10,000 | 5,000 | 5,000 | 600 | null | 0 |
10,000 | 10,000 | 5,000 | 5,000 | 600 | null | 1 |
301.6 | 310.4 | 1,517 | 41.1 | 167 | L | 0 |
298.1 | 307.8 | 1,379 | 49.1 | 135 | L | 0 |
299 | 309.4 | 1,798 | 25.5 | 89 | L | 0 |
298.9 | 309.6 | 1,589 | 34.2 | 197 | L | 0 |
301.5 | 310.6 | 1,403 | 47.4 | 34 | M | 0 |
298.8 | 308.9 | 1,461 | 47.9 | 206 | L | 0 |
296.9 | 307.8 | 1,549 | 35.8 | 206 | H | 0 |
298.2 | 308.7 | 1,605 | 29.4 | 47 | L | 0 |
300.2 | 310.6 | 1,431 | 42.3 | 113 | L | 0 |
298.5 | 309.6 | 1,492 | 41.7 | 100 | M | 0 |
300.8 | 310.5 | 1,434 | 44.5 | 89 | L | 0 |
297.8 | 309.7 | 1,341 | 49.2 | 208 | L | 0 |
300.6 | 310.5 | 1,509 | 43.1 | 31 | L | 0 |
299.3 | 308.6 | 1,437 | 48.1 | 67 | L | 0 |
299.2 | 308.3 | 1,582 | 45.5 | 107 | M | 0 |
298.9 | 310.1 | 1,366 | 62.7 | 161 | H | 0 |
303.1 | 311.3 | 1,474 | 34.8 | 215 | L | 0 |
301.2 | 310.7 | 1,517 | 39.4 | 107 | L | 0 |
301.1 | 311.1 | 2,089 | 19.8 | 162 | M | 0 |
301 | 310.4 | 1,614 | 31.6 | 84 | L | 0 |
299.4 | 308.9 | 1,550 | 33.7 | 174 | L | 0 |
298 | 307.7 | 1,529 | 34.1 | 11 | L | 0 |
295.6 | 306 | 1,396 | 52.4 | 0 | H | 0 |
299 | 308.7 | 1,537 | 42.8 | 202 | L | 0 |
303.4 | 311.7 | 1,793 | 25.8 | 161 | L | 0 |
298.1 | 307.6 | 1,764 | 27.7 | 23 | M | 0 |
300.2 | 309.4 | 1,526 | 35.3 | 46 | L | 0 |
295.5 | 306.1 | 1,822 | 24.3 | 164 | M | 0 |
298.3 | 309.1 | 1,386 | 45.3 | 212 | L | 0 |
301.3 | 311.1 | 1,492 | 41.2 | 223 | M | 0 |
300 | 309.1 | 1,631 | 28.3 | 110 | L | 0 |
299.8 | 309.4 | 1,475 | 43.4 | 51 | L | 0 |
297.3 | 308.7 | 1,577 | 35.6 | 133 | M | 0 |
297.2 | 308.5 | 1,364 | 54 | 43 | M | 0 |
303.4 | 311.5 | 1,560 | 36.4 | 114 | M | 0 |
297.2 | 308.1 | 1,446 | 38.5 | 164 | L | 0 |
300.7 | 311 | 1,378 | 51.6 | 130 | M | 0 |
304 | 313.2 | 1,612 | 31.7 | 206 | H | 0 |
303.7 | 312.4 | 1,642 | 32.3 | 206 | M | 0 |
300.4 | 310.5 | 1,500 | 43 | 9 | M | 0 |
302.6 | 312.1 | 1,668 | 28.7 | 180 | L | 0 |
303 | 311.1 | 1,525 | 40.7 | 179 | L | 0 |
300.5 | 310.4 | 1,761 | 26.5 | 12 | L | 0 |
301.8 | 310.3 | 1,409 | 52.5 | 26 | M | 0 |
300.2 | 309.3 | 1,506 | 35.6 | 63 | H | 0 |
300.9 | 310.9 | 1,615 | 32 | 183 | L | 0 |
300.2 | 311.8 | 1,748 | 28.5 | 184 | M | 0 |
300.8 | 310.3 | 1,538 | 36.1 | 198 | L | 0 |
300.8 | 312.6 | 1,588 | 35.6 | 114 | M | 0 |
301.9 | 310.9 | 1,567 | 39 | 214 | L | 0 |
301.8 | 310.6 | 1,395 | 50.5 | 131 | L | 0 |
298.9 | 308.6 | 1,400 | 49.5 | 79 | L | 0 |
296.7 | 307.8 | 1,672 | 32.4 | 113 | M | 0 |
297.7 | 309.3 | 1,559 | 36.9 | 145 | L | 0 |
298.3 | 309.5 | 1,543 | 49.9 | 199 | M | 0 |
300.8 | 310.7 | 1,886 | 21.1 | 44 | M | 0 |
298.6 | 309.1 | 1,339 | 51.1 | 34 | M | 0 |
303.4 | 312.7 | 1,399 | 48.4 | 34 | M | 0 |
297.2 | 308.5 | 1,447 | 47.9 | 188 | L | 0 |
301 | 311 | 1,581 | 37 | 127 | L | 0 |
298.3 | 309.4 | 1,595 | 29 | 103 | M | 0 |
298.8 | 309.6 | 1,692 | 31.9 | 167 | M | 0 |
300.7 | 310.6 | 1,540 | 52.7 | 85 | L | 0 |
300.7 | 310 | 1,672 | 29.7 | 176 | L | 0 |
300.6 | 310.7 | 1,654 | 32 | 180 | M | 0 |
300.7 | 310.6 | 1,439 | 41.7 | 184 | M | 0 |
299.8 | 309.6 | 1,447 | 43.1 | 12 | L | 0 |
303 | 311.2 | 1,383 | 44.6 | 198 | L | 0 |
299 | 310.2 | 1,682 | 28.8 | 49 | L | 0 |
298.6 | 309.6 | 1,472 | 39.1 | 14 | L | 0 |
299.2 | 310.5 | 1,391 | 45.8 | 38 | L | 0 |
300.4 | 311.5 | 1,492 | 44.6 | 149 | L | 0 |
299.1 | 308.5 | 1,455 | 39.8 | 145 | L | 0 |
303.6 | 312.5 | 1,459 | 48.2 | 17 | M | 0 |
303.7 | 312.7 | 1,395 | 53.9 | 123 | L | 0 |
297.9 | 309.1 | 1,595 | 32 | 32 | L | 0 |
302.6 | 310.3 | 1,647 | 34.2 | 14 | L | 0 |
301.5 | 310.5 | 1,556 | 39.1 | 48 | L | 0 |
300.7 | 310.9 | 1,468 | 41.8 | 112 | M | 0 |
300.5 | 309.9 | 1,780 | 26.5 | 101 | M | 0 |
301.3 | 311 | 1,554 | 47.7 | 84 | L | 0 |
299.6 | 310.2 | 1,512 | 44 | 79 | L | 0 |
297.6 | 309 | 1,491 | 43.2 | 7 | L | 0 |
298.5 | 309.5 | 1,480 | 38.1 | 160 | L | 0 |
299.9 | 309.2 | 1,333 | 50.8 | 61 | L | 0 |
299.1 | 308.8 | 1,502 | 38.3 | 88 | L | 0 |
297.4 | 308.6 | 1,528 | 29.1 | 163 | M | 0 |
298.7 | 309.6 | 1,755 | 26.9 | 73 | H | 0 |
300.6 | 310.2 | 1,318 | 51 | 8 | L | 0 |
304.2 | 313.4 | 1,482 | 41.4 | 32 | L | 0 |
301.9 | 310.4 | 1,603 | 37.6 | 69 | L | 0 |
302.3 | 311.7 | 1,456 | 45.4 | 130 | H | 0 |
299 | 310 | 1,360 | 48.1 | 37 | L | 0 |
297.8 | 308.4 | 1,512 | 39.9 | 181 | L | 0 |
301.7 | 310 | 1,391 | 50.6 | 195 | M | 0 |
299.2 | 308.8 | 1,542 | 39.2 | 179 | L | 0 |
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