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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 2013, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()] File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp> arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()] File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, 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 1802, 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 2116, in cast_array_to_feature return array_cast( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper return func(array, *args, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1963, 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 1396, 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 1045, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, 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 1884, 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 2040, 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 |
---|---|---|---|---|---|---|
300 | 400 | 4,500 | 500 | 5 | L | 1 |
300.5 | 310.5 | 1,695 | 26.7 | 28 | L | 0 |
298.3 | 309.4 | 1,378 | 52.3 | 12 | L | 0 |
303.9 | 313.1 | 1,425 | 49.3 | 199 | L | 0 |
300.1 | 311.3 | 1,650 | 33.8 | 38 | M | 0 |
300.1 | 311.4 | 1,485 | 40.4 | 75 | H | 0 |
298.9 | 309.7 | 1,407 | 48.6 | 161 | H | 0 |
300.2 | 310.6 | 1,431 | 42.3 | 113 | L | 0 |
300.4 | 309.7 | 1,500 | 35.2 | 112 | H | 0 |
296.2 | 307.2 | 1,552 | 34.8 | 8 | M | 0 |
298.1 | 310 | 1,393 | 43.1 | 65 | M | 0 |
298 | 309.2 | 1,520 | 37.9 | 89 | H | 0 |
302.1 | 310.6 | 1,421 | 52 | 95 | M | 0 |
298.9 | 308.9 | 1,727 | 27.1 | 37 | M | 0 |
301.6 | 310.5 | 1,809 | 25.5 | 40 | L | 0 |
300.5 | 309.8 | 1,345 | 62.7 | 153 | L | 1 |
298.8 | 308.9 | 1,461 | 47.9 | 206 | L | 0 |
300.4 | 311.3 | 1,608 | 35.1 | 114 | L | 0 |
297.4 | 308.3 | 1,472 | 45.5 | 2 | L | 0 |
302.4 | 311.2 | 1,448 | 50.5 | 53 | L | 0 |
302.8 | 312.2 | 1,746 | 27.4 | 44 | L | 0 |
300.9 | 312 | 1,720 | 27.9 | 202 | H | 0 |
298.8 | 309.8 | 1,463 | 40 | 90 | L | 0 |
297.5 | 308.8 | 1,824 | 24 | 179 | H | 0 |
303.5 | 311.8 | 1,927 | 21.9 | 195 | L | 0 |
301.9 | 310.9 | 1,421 | 46.2 | 26 | M | 0 |
298.2 | 309 | 1,441 | 44.2 | 147 | M | 0 |
298.9 | 309.3 | 1,665 | 32.5 | 93 | L | 0 |
300.2 | 311.8 | 1,410 | 51.4 | 189 | L | 0 |
297.5 | 308.8 | 1,430 | 49.4 | 2 | H | 0 |
298.8 | 310 | 1,484 | 44.9 | 80 | M | 0 |
303.9 | 313 | 1,901 | 22.5 | 110 | M | 0 |
300.3 | 311.1 | 1,605 | 37.1 | 160 | L | 0 |
300.7 | 311.8 | 1,407 | 42.4 | 224 | M | 0 |
300.6 | 311.7 | 1,556 | 34.9 | 76 | L | 0 |
299.8 | 311.1 | 1,603 | 35.1 | 179 | L | 0 |
298.3 | 309.1 | 1,386 | 45.3 | 212 | L | 0 |
297.2 | 308.6 | 1,284 | 51.3 | 32 | M | 0 |
297.9 | 308 | 1,954 | 21.1 | 42 | L | 0 |
296.3 | 307.2 | 1,291 | 58.6 | 29 | L | 0 |
298.8 | 310.3 | 1,573 | 41.8 | 91 | M | 0 |
298.9 | 310.6 | 1,387 | 52.7 | 2 | L | 0 |
302.5 | 312 | 1,451 | 43.2 | 189 | M | 0 |
296.5 | 307.4 | 1,350 | 55.6 | 69 | M | 0 |
297.5 | 308.3 | 1,459 | 45.2 | 34 | M | 0 |
297.4 | 309.1 | 1,478 | 49.8 | 150 | L | 0 |
298.2 | 309.4 | 1,408 | 46.5 | 76 | M | 0 |
301.9 | 310.7 | 1,429 | 51 | 76 | L | 0 |
297.7 | 307.6 | 1,921 | 22.9 | 68 | L | 0 |
301.6 | 310.9 | 1,532 | 43.6 | 15 | L | 0 |
297.5 | 308.4 | 1,350 | 52.2 | 157 | M | 0 |
298 | 308.3 | 1,473 | 42.6 | 107 | L | 0 |
296.8 | 307.8 | 1,565 | 39.5 | 124 | L | 0 |
303.4 | 311.9 | 1,531 | 37.9 | 203 | L | 0 |
297.2 | 308.6 | 1,366 | 50.4 | 74 | L | 0 |
298.2 | 307.7 | 1,681 | 31 | 84 | M | 0 |
296.6 | 307.6 | 1,459 | 40.2 | 96 | L | 0 |
300.9 | 310.9 | 1,497 | 43.2 | 62 | L | 0 |
300.1 | 309.5 | 1,660 | 32.7 | 57 | L | 0 |
301.3 | 310.8 | 1,434 | 39.5 | 18 | H | 0 |
296.8 | 307.9 | 1,448 | 48.8 | 31 | L | 0 |
300.5 | 309.8 | 1,663 | 29.1 | 145 | L | 0 |
297.2 | 308.5 | 1,524 | 41.4 | 192 | H | 0 |
299.4 | 309.1 | 1,373 | 44.1 | 81 | H | 0 |
299.6 | 309.4 | 1,643 | 32.9 | 145 | L | 0 |
301.5 | 310.8 | 1,512 | 38.9 | 9 | L | 0 |
298.4 | 308.7 | 1,344 | 52.9 | 130 | H | 0 |
297.1 | 307.9 | 1,492 | 39.4 | 171 | L | 0 |
300 | 309.6 | 1,477 | 38.1 | 13 | M | 0 |
303.3 | 311.5 | 1,412 | 55.6 | 67 | L | 0 |
300.4 | 311.2 | 1,351 | 62 | 18 | L | 0 |
300.5 | 309.5 | 1,635 | 34.2 | 62 | H | 0 |
297.3 | 308.4 | 1,513 | 40.5 | 25 | L | 0 |
298.2 | 308.3 | 1,476 | 43.5 | 129 | M | 0 |
303.8 | 312.7 | 1,555 | 33.4 | 128 | M | 0 |
299.7 | 309.1 | 1,715 | 27.8 | 192 | L | 0 |
299.6 | 309 | 1,539 | 36.1 | 76 | M | 0 |
297.3 | 308.3 | 1,471 | 38.2 | 37 | L | 0 |
298.9 | 309.1 | 2,861 | 4.6 | 143 | L | 1 |
301.2 | 310.9 | 1,359 | 50.8 | 118 | M | 0 |
298.2 | 308.9 | 1,278 | 54 | 18 | L | 0 |
301.3 | 311.2 | 1,457 | 44.5 | 14 | L | 0 |
300.5 | 310.4 | 1,702 | 33.1 | 71 | L | 0 |
300.7 | 311.3 | 1,348 | 53 | 35 | M | 0 |
296.9 | 307.8 | 1,400 | 57.1 | 202 | L | 0 |
300.2 | 309.9 | 1,566 | 36.4 | 170 | L | 0 |
299.3 | 310.6 | 1,609 | 31.4 | 99 | M | 0 |
298.8 | 309.1 | 1,350 | 52.5 | 111 | L | 0 |
300.1 | 311.3 | 1,547 | 40 | 201 | L | 0 |
299.2 | 309.9 | 1,516 | 41.4 | 219 | L | 0 |
300.7 | 309.5 | 1,439 | 43.8 | 41 | M | 0 |
295.9 | 306.6 | 1,557 | 41.1 | 113 | L | 0 |
302.4 | 311.4 | 1,475 | 40.4 | 126 | L | 0 |
300.2 | 311.5 | 1,432 | 43.6 | 127 | H | 0 |
297.4 | 308.7 | 1,349 | 48.9 | 120 | H | 0 |
300.6 | 310.4 | 2,514 | 13.4 | 215 | L | 1 |
299 | 310.2 | 1,682 | 28.8 | 49 | L | 0 |
303.7 | 312.7 | 1,395 | 53.9 | 123 | L | 0 |
300.8 | 311.2 | 1,429 | 52.3 | 77 | M | 0 |
299.8 | 310.9 | 1,427 | 47.2 | 168 | H | 0 |
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