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Error code: DatasetGenerationError Exception: ArrowInvalid Message: Failed to parse string: '2B' as a scalar of type 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: Failed to parse string: '2B' as a scalar of type 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
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code_departement
int64 | surface_reelle_bati
float64 | nombre_pieces_principales
float64 | surface_terrain
float64 | longitude
float64 | latitude
float64 | valeur_fonciere
float64 |
---|---|---|---|---|---|---|
1 | 97 | 5 | 2,410 | 5.386094 | 46.32714 | 185,000 |
1 | 88 | 4 | 866 | 5.157688 | 46.200988 | 204,332 |
1 | 168 | 5 | 1,426 | 5.27326 | 46.156334 | 320,000 |
1 | 71 | 3 | null | 5.200117 | 46.210292 | 176,000 |
1 | 96 | 3 | null | 5.108604 | 46.244066 | 226,700 |
1 | 100 | 4 | 703 | 5.210226 | 46.187698 | 185,000 |
1 | 85 | 2 | 87 | 5.174845 | 46.368874 | 114,500 |
1 | 92 | 1 | 2,480 | 5.20076 | 46.405032 | 145,000 |
1 | 98 | 4 | 303 | 5.297663 | 46.069603 | 169,600 |
1 | 64 | 3 | null | 4.843007 | 46.307415 | 129,150 |
1 | 110 | 4 | 472 | 4.888266 | 46.344279 | 178,600 |
1 | 67 | 3 | null | 5.219396 | 46.198766 | 165,000 |
1 | 51 | 2 | 314 | 5.298291 | 46.284649 | 130,000 |
1 | 106 | 5 | null | 5.222737 | 46.192597 | 143,000 |
1 | 37 | 1 | null | 5.22909 | 46.198857 | 57,000 |
1 | 100 | 5 | 385 | 5.216373 | 46.221904 | 150,000 |
1 | 82 | 3 | 535 | 5.123204 | 46.197255 | 107,000 |
1 | 98 | 5 | 861 | 5.300281 | 46.371511 | 184,000 |
1 | 104 | 4 | 713 | 5.300866 | 46.291811 | 221,831 |
1 | 90 | 4 | null | 5.218379 | 46.206445 | 243,000 |
1 | 79 | 3 | 53 | 5.329684 | 46.161151 | 80,000 |
1 | 115 | 5 | null | 5.220738 | 46.203776 | 185,000 |
1 | 123 | 4 | 823 | 4.843387 | 46.222046 | 337,000 |
1 | 90 | 4 | 608 | 5.013826 | 46.430202 | 175,000 |
1 | 40 | 2 | null | 5.237656 | 46.20443 | 76,000 |
1 | 140 | 6 | 873 | 4.899723 | 46.275821 | 250,000 |
1 | 124 | 5 | 896 | 4.88441 | 46.313055 | 267,885 |
1 | 133 | 4 | 7,440 | 5.057296 | 46.45975 | 40,000 |
1 | 144 | 5 | 412 | 5.336622 | 46.04422 | 240,000 |
1 | 70 | 2 | 227 | 5.176854 | 46.370102 | 68,000 |
1 | 170 | 5 | 2,719 | 5.186771 | 46.420041 | 150,000 |
1 | 63 | 3 | null | 5.238636 | 46.192321 | 115,000 |
1 | 280 | 6 | 1,331 | 5.333448 | 46.177775 | 950,000 |
1 | 126 | 5 | 734 | 5.296269 | 46.024963 | 311,500 |
1 | 120 | 4 | 735 | 5.156919 | 46.474328 | 95,000 |
1 | 60 | 2 | 430 | 5.350837 | 46.377811 | 65,000 |
1 | 43 | 2 | null | 5.22355 | 46.210532 | 68,000 |
1 | 102 | 5 | null | 5.238679 | 46.200688 | 164,000 |
1 | 108 | 3 | null | 5.223554 | 46.209818 | 260,000 |
1 | 80 | 3 | 143 | 5.128971 | 46.335622 | 150,000 |
1 | 108 | 5 | null | 5.216356 | 46.219506 | 230,000 |
1 | 82 | 3 | 873 | 5.213133 | 46.203402 | 236,300 |
1 | 110 | 4 | 791 | 4.973694 | 46.27404 | 249,000 |
1 | 113 | 4 | 900 | 4.911913 | 46.392083 | 247,100 |
1 | 85 | 1 | 697 | 5.316205 | 46.100085 | 110,000 |
1 | 46 | 2 | null | 4.840569 | 46.305647 | 43,750 |
1 | 82 | 3 | null | 5.226494 | 46.204796 | 92,000 |
1 | 112 | 4 | 1,347 | 5.128302 | 46.400826 | 68,200 |
1 | 194 | 8 | 2,945 | 5.08383 | 46.474198 | 238,000 |
1 | 100 | 4 | 1,292 | 4.861899 | 46.261923 | 235,000 |
1 | 69 | 3 | null | 5.246947 | 46.201707 | 105,000 |
1 | 90 | 4 | 701 | 5.257822 | 46.340841 | 175,800 |
1 | 79 | 3 | 1,740 | 5.097578 | 46.422955 | 86,000 |
1 | 82 | 4 | 1,420 | 5.015346 | 46.342585 | 180,000 |
1 | 67 | 4 | null | 5.231188 | 46.190278 | 85,000 |
1 | 79 | 3 | null | 5.159759 | 46.288367 | 150,000 |
1 | 91 | 5 | 602 | 5.195653 | 46.197113 | 200,000 |
1 | 50 | 3 | 1,520 | 4.871451 | 46.20909 | 70,000 |
1 | 87 | 3 | 2,760 | 5.07403 | 46.402182 | 82,000 |
1 | 103 | 5 | 1,455 | 4.963168 | 46.468312 | 139,150 |
1 | 95 | 4 | 435 | 4.838342 | 46.23881 | 196,800 |
1 | 88 | 4 | 744 | 5.057132 | 46.305802 | 193,000 |
1 | 66 | 2 | 90 | 5.369934 | 46.272514 | 219,580 |
1 | 104 | 5 | 701 | 4.901197 | 46.252559 | 203,800 |
1 | 130 | 5 | null | 5.228155 | 46.205169 | 176,000 |
1 | 68 | 3 | null | 5.125956 | 46.337048 | 158,648 |
1 | 33 | 1 | null | 5.22909 | 46.198857 | 57,000 |
1 | 74 | 4 | 659 | 5.243114 | 46.193658 | 165,000 |
1 | 80 | 3 | 1,283 | 5.312798 | 46.143308 | 292,150 |
1 | 105 | 5 | 600 | 5.213833 | 46.18743 | 187,000 |
1 | 125 | 5 | null | 5.226596 | 46.208685 | 280,000 |
1 | 83 | 4 | null | 5.246901 | 46.208056 | 182,650 |
1 | 40 | 2 | null | 5.231986 | 46.200426 | 39,000 |
1 | 200 | 7 | null | 5.226277 | 46.203993 | 338,800 |
1 | 118 | 5 | null | 5.226189 | 46.208175 | 195,480 |
1 | 178 | 8 | 641 | 5.22004 | 46.198767 | 420,000 |
1 | 57 | 3 | null | 5.228581 | 46.21006 | 111,300 |
1 | 57 | 2 | null | 5.230237 | 46.202072 | 87,500 |
1 | 157 | 5 | 386 | 4.919417 | 46.292376 | 323,000 |
1 | 31 | 1 | null | 5.219932 | 46.196098 | 73,300 |
1 | 29 | 1 | null | 5.215964 | 46.213426 | 49,000 |
1 | 156 | 5 | 1,182 | 4.920472 | 46.356642 | 270,000 |
1 | 65 | 3 | null | 5.218379 | 46.206445 | 151,000 |
1 | 83 | 4 | null | 5.323279 | 46.180424 | 195,624 |
1 | 136 | 6 | 1,071 | 5.213166 | 46.213368 | 206,000 |
1 | 67 | 3 | 1,334 | 5.007339 | 46.293472 | 122,000 |
1 | 137 | 4 | 721 | 5.36088 | 46.275217 | 260,000 |
1 | 171 | 6 | 1,450 | 5.233753 | 46.282946 | 310,000 |
1 | 114 | 7 | 496 | 5.35948 | 46.056815 | 237,000 |
1 | 77 | 3 | 1,071 | 5.062198 | 46.307229 | 43,530.95 |
1 | 120 | 4 | 251 | 5.194659 | 46.119995 | 80,000 |
1 | 35 | 2 | null | 4.885992 | 46.261552 | 50,000 |
1 | 85 | 2 | 860 | 5.059633 | 46.386589 | 65,000 |
1 | 103 | 5 | 785 | 4.926635 | 46.334763 | 227,000 |
1 | 148 | 8 | 795 | 4.897527 | 46.33805 | 225,000 |
1 | 96 | 5 | 305 | 5.249138 | 46.207103 | 213,000 |
1 | 49 | 3 | 70 | 5.269133 | 46.147476 | 52,300 |
1 | 146 | 7 | 1,002 | 5.216523 | 46.245505 | 352,000 |
1 | 87 | 4 | null | 5.235301 | 46.2045 | 150,000 |
1 | 110 | 5 | 1,806 | 5.191806 | 46.364104 | 211,300 |
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