The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 2011, 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 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
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Air temperature [K]
float64 | Process temperature [K]
float64 | Rotational speed [rpm]
int64 | Torque [Nm]
float64 | Tool wear [min]
int64 | Type
string | prediction
int64 |
---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | null | 0 |
0 | 0 | 0 | 0 | 0 | null | 0 |
300.5 | 310.5 | 1,695 | 26.7 | 28 | L | 0 |
304.1 | 313.2 | 1,452 | 48 | 126 | L | 0 |
297.2 | 308.5 | 1,524 | 41.4 | 192 | H | 0 |
300.3 | 311.6 | 1,312 | 53.4 | 151 | M | 0 |
303.4 | 311.8 | 2,268 | 15.8 | 20 | L | 0 |
297.3 | 308.7 | 1,577 | 35.6 | 133 | M | 0 |
298 | 308.7 | 1,619 | 40.1 | 45 | L | 0 |
300.8 | 310.4 | 1,518 | 36 | 59 | M | 0 |
303.3 | 311.8 | 1,315 | 62 | 42 | L | 0 |
298.2 | 309 | 1,441 | 44.2 | 147 | M | 0 |
301.6 | 310.7 | 1,421 | 44.4 | 94 | M | 0 |
301.1 | 311.3 | 2,207 | 16.6 | 43 | H | 0 |
300.4 | 310.5 | 1,818 | 25.1 | 14 | L | 0 |
298.8 | 308.5 | 1,577 | 33.2 | 0 | M | 0 |
302.3 | 311 | 1,329 | 51.5 | 154 | L | 0 |
298.4 | 308.9 | 1,638 | 32.4 | 109 | L | 0 |
298.8 | 309.7 | 1,439 | 45.8 | 81 | M | 0 |
297.8 | 308.9 | 1,518 | 40.4 | 2 | L | 0 |
299.9 | 309.4 | 1,889 | 26 | 6 | M | 0 |
300 | 309.1 | 1,631 | 28.3 | 110 | L | 0 |
303.8 | 313.2 | 1,732 | 29.6 | 147 | M | 0 |
303 | 312.3 | 1,483 | 38.8 | 114 | M | 0 |
301 | 310.8 | 1,475 | 35.3 | 19 | L | 0 |
298.9 | 308.9 | 1,727 | 27.1 | 37 | M | 0 |
301.4 | 310.7 | 1,786 | 26.1 | 123 | L | 0 |
303.6 | 312.3 | 1,698 | 31.3 | 100 | M | 0 |
300.7 | 310.1 | 1,598 | 32.8 | 79 | L | 0 |
300.5 | 311.5 | 1,651 | 36.9 | 65 | L | 0 |
300.5 | 311.4 | 1,312 | 51.4 | 60 | M | 0 |
299.1 | 309 | 1,450 | 43 | 40 | L | 0 |
300.3 | 311.7 | 1,545 | 43.5 | 160 | L | 0 |
302.8 | 310.6 | 1,617 | 37.9 | 207 | L | 0 |
301.9 | 310.5 | 1,472 | 39.7 | 187 | H | 0 |
299.1 | 308.7 | 1,498 | 38.9 | 181 | L | 0 |
298.9 | 310.1 | 1,366 | 62.7 | 161 | H | 0 |
298.9 | 310.2 | 1,498 | 50.2 | 160 | L | 0 |
303.5 | 312.4 | 1,340 | 44.5 | 76 | L | 0 |
298.5 | 309.6 | 1,492 | 41.7 | 100 | M | 0 |
298.1 | 307.7 | 1,498 | 38.3 | 81 | M | 0 |
298.2 | 307.8 | 1,515 | 46.7 | 74 | L | 0 |
302.9 | 312.2 | 1,677 | 30.5 | 46 | L | 0 |
300.7 | 312.3 | 1,670 | 27.3 | 81 | H | 0 |
302.1 | 310.9 | 1,658 | 30.3 | 186 | L | 0 |
300.7 | 310 | 1,641 | 34.6 | 178 | M | 0 |
297.5 | 308.3 | 1,674 | 30 | 54 | H | 0 |
302.1 | 311.5 | 1,533 | 39.4 | 26 | L | 0 |
298.2 | 308.7 | 1,447 | 48.4 | 51 | L | 0 |
300.5 | 309.8 | 1,663 | 29.1 | 145 | L | 0 |
297.5 | 308.4 | 1,528 | 39.9 | 160 | L | 0 |
301.7 | 310.2 | 1,620 | 30.8 | 42 | H | 0 |
302.3 | 310.9 | 1,403 | 47.2 | 173 | L | 0 |
296.9 | 308 | 1,332 | 53.9 | 7 | L | 0 |
304.2 | 313.4 | 1,490 | 44 | 41 | L | 0 |
298.5 | 308.7 | 1,450 | 43.9 | 28 | H | 0 |
302.6 | 310.8 | 1,470 | 41.2 | 156 | L | 0 |
299.3 | 310.4 | 1,629 | 32.6 | 177 | L | 0 |
300.8 | 310.5 | 1,434 | 44.5 | 89 | L | 0 |
300 | 309.5 | 1,879 | 22.4 | 79 | M | 0 |
300.5 | 309.7 | 1,887 | 24.3 | 28 | L | 0 |
298.1 | 307.7 | 1,388 | 40.3 | 109 | L | 0 |
300.9 | 310.7 | 1,479 | 43.3 | 201 | L | 0 |
300.8 | 310.1 | 1,405 | 61.2 | 189 | L | 1 |
297 | 307.8 | 1,500 | 39.9 | 175 | L | 0 |
301.4 | 310.6 | 1,648 | 30.7 | 90 | L | 0 |
302.4 | 310.3 | 1,480 | 45.8 | 123 | L | 0 |
301 | 312.2 | 1,372 | 47 | 59 | L | 0 |
302.5 | 310.4 | 1,427 | 46.8 | 179 | L | 0 |
302.3 | 311.1 | 1,630 | 35.6 | 183 | L | 0 |
297.1 | 308 | 1,690 | 25.6 | 159 | M | 0 |
303.5 | 312.4 | 1,318 | 54.2 | 177 | M | 0 |
297.2 | 308.1 | 1,712 | 30.9 | 204 | L | 0 |
302.7 | 311.7 | 1,480 | 45.2 | 8 | L | 0 |
302.2 | 311.7 | 1,576 | 34 | 28 | M | 0 |
299.2 | 308.3 | 1,582 | 45.5 | 107 | M | 0 |
302.4 | 310.4 | 1,865 | 23.9 | 129 | L | 0 |
300.8 | 310.4 | 1,368 | 46.8 | 21 | L | 0 |
300.7 | 310.6 | 1,572 | 38.5 | 50 | M | 0 |
300.5 | 311 | 1,759 | 28.3 | 13 | L | 0 |
301.4 | 310.8 | 1,740 | 29.2 | 110 | L | 0 |
301.5 | 311 | 1,504 | 42.6 | 109 | M | 0 |
297.4 | 309.2 | 1,428 | 38.8 | 26 | L | 0 |
300.3 | 311.7 | 1,821 | 26.3 | 202 | L | 0 |
299.2 | 308.4 | 1,877 | 23.9 | 4 | L | 0 |
299 | 310.3 | 1,582 | 33.3 | 177 | M | 0 |
298.9 | 309.8 | 1,353 | 53.7 | 71 | M | 0 |
297.3 | 308.2 | 1,846 | 24.5 | 41 | M | 0 |
302.6 | 312 | 1,657 | 29.3 | 37 | H | 0 |
297.1 | 307.9 | 1,492 | 39.4 | 171 | L | 0 |
298.2 | 307.9 | 1,462 | 45.5 | 171 | H | 0 |
300.5 | 309.8 | 1,345 | 62.7 | 153 | L | 1 |
297.4 | 308.4 | 1,378 | 39.9 | 63 | L | 0 |
302.7 | 311.5 | 1,494 | 41.4 | 149 | L | 0 |
296.6 | 307.6 | 1,498 | 41.1 | 80 | L | 0 |
300.3 | 311.7 | 1,571 | 31.2 | 123 | L | 0 |
299.8 | 310.8 | 1,530 | 35.2 | 163 | M | 0 |
303.8 | 312.5 | 1,366 | 45.1 | 143 | M | 0 |
302.3 | 311.1 | 1,295 | 57.1 | 146 | M | 0 |
304.2 | 313.4 | 1,329 | 54.5 | 75 | M | 0 |
End of preview.