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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 11 new columns ({'6', '8', '1', '4', '7', '3', '5', 'label', '0', '9', '2'}) and 11 missing columns ({'-0.8763302', '-1.1971083', '0.76199716', '0.47653067', '-1.1991565', '0.0', '1.4433141', '-0.18369988', '-1.2514617', '-0.8272265', '2.122729'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Nerlnet/forest_cover/cover_normalized_std_baseline.csv (at revision bd3d71b1196077bfa0380f89efd520afd9591616)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
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 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
0: double
1: double
2: double
3: double
4: double
5: double
6: double
7: double
8: double
9: double
label: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1400
to
{'1.4433141': Value(dtype='float64', id=None), '-0.8272265': Value(dtype='float64', id=None), '0.47653067': Value(dtype='float64', id=None), '2.122729': Value(dtype='float64', id=None), '-1.1971083': Value(dtype='float64', id=None), '-0.8763302': Value(dtype='float64', id=None), '0.76199716': Value(dtype='float64', id=None), '-1.1991565': Value(dtype='float64', id=None), '-1.2514617': Value(dtype='float64', id=None), '-0.18369988': Value(dtype='float64', id=None), '0.0': Value(dtype='float64', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1534, 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 1155, 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 2013, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 11 new columns ({'6', '8', '1', '4', '7', '3', '5', 'label', '0', '9', '2'}) and 11 missing columns ({'-0.8763302', '-1.1971083', '0.76199716', '0.47653067', '-1.1991565', '0.0', '1.4433141', '-0.18369988', '-1.2514617', '-0.8272265', '2.122729'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Nerlnet/forest_cover/cover_normalized_std_baseline.csv (at revision bd3d71b1196077bfa0380f89efd520afd9591616)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)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.
1.4433141
float64 | -0.8272265
float64 | 0.47653067
float64 | 2.122729
float64 | -1.1971083
float64 | -0.8763302
float64 | 0.76199716
float64 | -1.1991565
float64 | -1.2514617
float64 | -0.18369988
float64 | 0.0
float64 |
|---|---|---|---|---|---|---|---|---|---|---|
-1.228579 | -0.790013 | 0.476531 | -0.751957 | -0.084152 | -0.546929 | 0.842139 | -1.199157 | -1.33365 | -1.313636 | 0 |
0.887722 | -0.994687 | -1.06442 | -0.110498 | -0.101542 | 0.775002 | 0.321219 | 0.094513 | -0.073424 | 0.551566 | 0 |
0.322028 | 0.847373 | -0.504074 | -0.808976 | -0.67541 | -0.676094 | -0.520265 | 1.226474 | 1.132009 | -1.340322 | 0 |
-0.430547 | -1.0319 | 1.176963 | -0.039225 | 0.176697 | -0.220618 | 0.080795 | -2.115506 | -1.306254 | 0.591595 | 0 |
-1.890239 | -1.152843 | 0.196358 | -0.457361 | -0.449341 | 0.000631 | -0.039417 | -0.983545 | -0.429575 | 0.173048 | 0 |
-1.940747 | 1.489303 | 0.616617 | -0.295809 | 0.367987 | -1.033306 | -1.762457 | -0.067196 | 1.405971 | -1.025007 | 0 |
-3.157999 | -0.101567 | -0.504074 | 1.039376 | -0.866699 | -0.661261 | 0.882209 | 0.633542 | -0.31999 | -0.890173 | 1 |
-0.279021 | -1.273786 | -0.644161 | -1.03705 | -0.79714 | 0.637185 | -0.079488 | -0.228904 | 0.090953 | 0.831066 | 0 |
-0.465902 | 1.489303 | 0.056271 | 0.103321 | 2.002641 | -0.700196 | -1.281609 | 0.202319 | 1.214198 | -0.539043 | 0 |
-0.364886 | -0.41788 | -0.083815 | 0.797047 | 1.150534 | 0.50184 | 1.122634 | -0.121099 | -0.950103 | 0.45957 | 0 |
-1.738713 | -0.855137 | -0.504074 | 0.616488 | 0.402767 | -1.204495 | 0.561644 | -0.390613 | -0.566556 | -0.873319 | 0 |
0.39274 | 1.154383 | -0.083815 | -0.181772 | -0.449341 | -0.053136 | -1.161397 | 0.903057 | 1.48816 | -0.85506 | 0 |
-1.6579 | -0.799317 | 1.176963 | -0.23879 | 0.315817 | -0.633451 | 0.842139 | -1.953797 | -1.881575 | -0.42598 | 0 |
-0.501258 | -0.55743 | 0.196358 | -0.609411 | -0.084152 | -0.912175 | 1.122634 | -0.498419 | -1.196669 | -0.178082 | 0 |
-0.546716 | -0.771407 | -1.06442 | 0.673507 | -0.849309 | -0.264497 | 0.481502 | 0.148416 | -0.183009 | -0.021478 | 0 |
-0.172954 | -0.957473 | -0.644161 | 2.21776 | 0.594056 | -0.14213 | 0.401361 | -0.228904 | -0.31999 | -0.780621 | 0 |
-0.930579 | -0.55743 | 0.476531 | -0.751957 | -0.327611 | -0.128534 | 1.202775 | -0.767933 | -1.443235 | -1.020794 | 0 |
-1.395256 | 1.796313 | 0.756704 | -0.685436 | -0.275441 | -0.576594 | -1.401821 | -0.983545 | 0.584085 | -0.619803 | 0 |
-3.238812 | 0.14032 | -0.223901 | -1.322143 | -0.79714 | -0.528389 | 0.641785 | 1.010862 | 0.063557 | -1.070654 | 1 |
-0.602275 | -0.89235 | -0.223901 | -0.595156 | -0.205881 | -0.116173 | 0.561644 | -0.552322 | -0.676141 | 0.892865 | 0 |
1.433212 | 0.912497 | -0.644161 | -0.210281 | -0.449341 | -1.091399 | -0.520265 | 1.172571 | 1.132009 | -0.852251 | 0 |
0.524062 | 0.158927 | 1.457135 | -1.00379 | -0.466731 | 0.141538 | 0.641785 | 0.849154 | -0.374783 | -0.326961 | 0 |
0.109893 | -0.687677 | -0.363988 | -0.685436 | -0.55368 | 0.553753 | 0.802068 | -0.282807 | -0.730934 | 0.279089 | 0 |
1.347348 | -0.324847 | -0.223901 | -1.322143 | -0.79714 | -0.927625 | 1.042492 | 0.202319 | -0.676141 | 0.403389 | 0 |
1.96355 | 1.359057 | 0.056271 | 3.258349 | 3.150378 | -0.862116 | -1.32168 | 0.525736 | 1.378575 | 0.138637 | 0 |
-0.248716 | -0.83653 | -0.083815 | 0.659252 | 1.272264 | -0.732333 | 0.641785 | -0.606225 | -0.785726 | 0.465188 | 0 |
-0.319428 | -1.069113 | 1.597222 | 1.386239 | 3.098208 | -1.036396 | -0.159629 | -2.600632 | -1.443235 | -1.006749 | 0 |
0.130096 | -0.008533 | 1.176963 | 0.440681 | 0.976635 | -1.019709 | 1.082563 | 0.471833 | -0.895311 | -0.091002 | 0 |
0.205859 | 1.712583 | 1.176963 | -0.110498 | -1.162328 | 1.249637 | -1.92274 | -1.091351 | 0.885443 | -1.3024 | 0 |
-1.763968 | -0.687677 | -0.644161 | -0.148511 | -0.292831 | -0.973358 | 0.721926 | -0.121099 | -0.53916 | -1.152819 | 0 |
-0.976037 | -0.008533 | 2.857999 | -1.00379 | -0.136322 | -0.596988 | 1.042492 | -0.390613 | -1.77199 | -0.37963 | 0 |
0.226062 | 1.796313 | 1.036876 | 1.17242 | 3.115598 | 0.533977 | -1.642245 | -1.253059 | 0.556689 | -0.51306 | 0 |
-0.51136 | -1.385427 | 0.616617 | -0.685436 | -0.60585 | -1.049992 | -0.80076 | -1.145254 | 0.063557 | -0.769385 | 0 |
-0.349733 | 0.30778 | -0.363988 | 0.103321 | -0.014592 | -0.080329 | 0.321219 | 1.226474 | 0.392311 | -0.05308 | 0 |
-1.066952 | -0.073657 | -0.223901 | -0.870746 | -0.55368 | -0.311466 | 0.92228 | 0.633542 | -0.402179 | 2.485591 | 0 |
-0.910376 | -0.548127 | -1.204506 | -0.324318 | -0.484121 | -0.503668 | 0.521573 | 0.41793 | -0.073424 | 0.05858 | 0 |
-0.324479 | -0.966777 | -0.924333 | -0.595156 | -0.72758 | -0.268823 | 0.36129 | -0.013293 | -0.155613 | 0.351422 | 0 |
0.155351 | -1.264483 | 0.336444 | -0.210281 | 0.228867 | 2.156881 | -0.359983 | -1.037448 | -0.237802 | 1.679396 | 0 |
0.776604 | 0.875283 | -0.784247 | -0.409846 | -0.310221 | 0.463523 | -0.359983 | 1.118668 | 0.995028 | -0.565729 | 0 |
-0.612377 | 1.92656 | -0.363988 | -1.122578 | -0.77975 | 0.080973 | -0.400053 | -0.282807 | 0.310123 | 1.163235 | 0 |
-1.425561 | -0.715587 | -0.083815 | -0.718697 | -0.57107 | -1.375067 | 0.882209 | -0.552322 | -0.950103 | -0.4014 | 0 |
-0.804309 | 0.661307 | 2.157568 | -1.179597 | -0.60585 | 0.294806 | -1.762457 | 1.442086 | 1.679934 | -0.655619 | 0 |
-0.784105 | -0.08296 | 0.056271 | -0.609411 | -0.345001 | -1.195225 | 1.042492 | 0.579639 | -0.566556 | 0.218695 | 0 |
-0.425496 | 1.405573 | 1.176963 | -1.179597 | -0.65802 | 0.062433 | -2.363518 | -0.067196 | 1.762122 | -0.900005 | 0 |
-0.672987 | -0.771407 | -0.223901 | 0.977606 | -0.188491 | -0.455463 | 0.761997 | -0.552322 | -0.813122 | 0.443418 | 0 |
-0.001225 | -0.50161 | -1.204506 | -0.039225 | -0.275441 | 0.59207 | 0.561644 | 0.41793 | -0.128217 | 0.025574 | 0 |
0.114944 | -0.845833 | -1.06442 | -0.490622 | -0.62324 | 1.402904 | 0.441432 | 0.094513 | -0.183009 | 1.557905 | 0 |
-1.021495 | 0.261263 | 0.056271 | -1.322143 | -0.79714 | -0.994989 | 0.401361 | 1.226474 | 0.25533 | -1.06925 | 0 |
-0.142649 | -1.22727 | 0.196358 | 0.502451 | 0.367987 | -0.491308 | -0.23977 | -0.983545 | -0.265198 | 0.509431 | 0 |
0.008876 | -1.050507 | -0.504074 | 1.728351 | 2.020032 | -0.576594 | 0.281149 | -0.390613 | -0.31999 | -0.818543 | 0 |
-0.481055 | -0.966777 | -0.924333 | -0.718697 | -0.431951 | 0.431387 | 0.36129 | -0.067196 | -0.183009 | -1.306614 | 0 |
0.57457 | 0.596183 | 0.196358 | 1.129656 | 0.489716 | -0.732333 | -0.400053 | 1.495989 | 1.077217 | -1.042564 | 0 |
-2.157933 | -0.929563 | -1.204506 | -0.552392 | -0.76236 | -0.880656 | 0.36129 | 0.148416 | -0.046028 | 1.512258 | 0 |
1.099857 | 0.94971 | 0.476531 | 0.735277 | 0.524496 | 2.153173 | -1.441892 | 1.280377 | 1.762122 | -0.238476 | 0 |
-1.566985 | -1.078417 | -1.344593 | -1.122578 | -0.71019 | -1.046284 | 0.201007 | 0.256222 | 0.145745 | 2.534046 | 0 |
-1.223528 | -0.4737 | -1.06442 | 1.699841 | -1.440568 | -1.046284 | 0.641785 | 0.364028 | -0.210405 | -0.307298 | 0 |
1.109959 | -0.064353 | 0.476531 | 2.241518 | 0.820125 | -0.828125 | 1.082563 | 0.525736 | -0.676141 | -0.061507 | 0 |
0.27152 | 1.628853 | 0.616617 | -0.490622 | 0.072358 | 1.322563 | -1.682316 | -0.498419 | 1.077217 | 0.019253 | 0 |
-0.455801 | -0.483003 | 1.457135 | -0.609411 | 0.246257 | -0.692162 | 1.48327 | -1.360865 | -2.182933 | -0.1837 | 0 |
0.372537 | 1.489303 | -0.083815 | -0.718697 | -0.55368 | 0.064905 | -1.161397 | 0.256222 | 1.159405 | 0.137935 | 0 |
-2.036713 | -0.38997 | -0.644161 | -0.609411 | -0.292831 | -0.750873 | 0.882209 | 0.256222 | -0.456971 | 1.729256 | 0 |
0.433147 | -0.92026 | -0.644161 | 0.659252 | -0.79714 | 0.535831 | 0.481502 | -0.282807 | -0.402179 | 2.477163 | 0 |
-1.304341 | 1.28463 | -0.363988 | -1.00379 | -0.55368 | -0.947402 | -1.001114 | 0.741348 | 1.296387 | -0.414743 | 0 |
0.407892 | -0.64116 | -1.06442 | -0.110498 | -0.327611 | 1.46965 | 0.601714 | 0.256222 | -0.210405 | 2.55371 | 0 |
-0.32953 | -1.11563 | -0.924333 | -1.322143 | -0.79714 | 0.425825 | 0.201007 | -0.067196 | -0.018632 | 0.65831 | 0 |
0.024029 | 1.582337 | 0.336444 | -0.718697 | 0.054968 | 2.321891 | -1.481962 | -0.175001 | 1.132009 | 1.694846 | 0 |
-0.405292 | 1.582337 | 1.036876 | -1.122578 | -0.5189 | 1.537631 | -2.042952 | -0.606225 | 1.26899 | -1.340322 | 0 |
-0.481055 | 1.684673 | -0.223901 | -0.609411 | -0.345001 | -0.12359 | -0.880902 | -0.013293 | 0.775858 | -0.251117 | 0 |
-1.17302 | -1.385427 | -0.083815 | -1.179597 | -0.6928 | -1.003023 | -0.480195 | -0.552322 | 0.173142 | -0.09662 | 0 |
0.064436 | -1.08772 | -0.083815 | 0.673507 | 0.454936 | -1.095725 | 0.160937 | -0.821836 | -0.484368 | -0.898601 | 0 |
-0.698241 | 1.693977 | 1.877395 | -0.466865 | 0.976635 | -0.758908 | -2.684084 | -1.792088 | 0.967632 | -0.616994 | 0 |
1.135213 | -0.380667 | -1.344593 | -0.172269 | -0.031982 | -0.943694 | 0.521573 | 0.525736 | 0.008764 | 0.215184 | 0 |
-1.652849 | -0.855137 | 1.877395 | -0.751957 | 0.298427 | -0.888691 | 0.601714 | -2.816244 | -2.292518 | -0.467413 | 0 |
0.08969 | 1.78701 | 0.616617 | -1.179597 | -0.74497 | 1.19587 | -1.281609 | -0.821836 | 0.611481 | 2.338116 | 0 |
1.039247 | -0.55743 | -0.924333 | -1.322143 | -0.79714 | -0.272531 | 0.721926 | 0.202319 | -0.374783 | 0.472913 | 0 |
-0.26892 | -0.72489 | -0.644161 | 0.250619 | 1.254874 | -0.705758 | 0.681856 | -0.121099 | -0.484368 | -0.607865 | 0 |
0.316977 | 0.44733 | 0.89679 | -0.23879 | 0.872295 | -0.43754 | -0.279841 | 1.495989 | 0.803255 | -0.798177 | 0 |
0.261418 | -1.385427 | 0.336444 | 3.776268 | 1.098364 | 0.096423 | -0.680548 | -0.929642 | 0.090953 | -0.817138 | 0 |
0.594773 | 0.689217 | 0.616617 | 0.165091 | -0.327611 | 2.114856 | -0.840831 | 1.549891 | 1.405971 | -0.220217 | 0 |
0.397791 | 1.712583 | -0.223901 | -0.808976 | -0.397171 | -0.887454 | -0.840831 | -0.121099 | 0.748462 | -0.099429 | 0 |
0.362435 | -1.39473 | 0.196358 | -0.005964 | -0.066762 | -1.3213 | -0.680548 | -0.875739 | 0.145745 | -1.098745 | 0 |
-1.279087 | -1.217966 | 0.756704 | -1.03705 | -0.60585 | -0.863352 | -0.400053 | -1.63038 | -0.566556 | -0.128221 | 0 |
-1.981154 | -0.631857 | -0.924333 | 1.248444 | -0.031982 | -0.977066 | 0.641785 | 0.148416 | -0.31999 | 1.15551 | 0 |
-0.69319 | 1.833527 | 2.577827 | -0.324318 | 0.159307 | -0.792898 | -2.764225 | -3.031855 | 0.200538 | -0.201256 | 0 |
0.645282 | -0.817923 | 1.176963 | 0.530961 | 0.159307 | -0.106903 | 0.802068 | -2.0077 | -1.854179 | -0.24901 | 0 |
0.963485 | 0.83807 | 0.056271 | 2.184499 | 4.228554 | -0.475857 | -0.840831 | 1.33428 | 1.405971 | -1.14088 | 0 |
0.438197 | -1.376123 | 1.036876 | -0.870746 | -0.292831 | 0.139066 | -1.041185 | -1.63038 | -0.073424 | -0.864892 | 0 |
0.786705 | -0.399273 | 1.877395 | -0.552392 | 0.020188 | 0.191597 | 1.603482 | -1.468671 | -2.456895 | -0.605056 | 0 |
-0.218411 | -1.013293 | 1.176963 | -0.23879 | 0.646226 | 1.073503 | 0.160937 | -2.169409 | -1.415839 | -0.818543 | 0 |
0.63518 | 1.573033 | 0.336444 | 0.165091 | -0.79714 | -0.304668 | -1.441892 | -0.121099 | 1.132009 | -0.34522 | 0 |
0.589723 | -1.190056 | -1.06442 | 0.245868 | 0.054968 | 0.373911 | 0.120866 | 0.04061 | 0.090953 | 2.67801 | 0 |
-0.415394 | -0.483003 | -0.924333 | -0.367082 | -0.084152 | -0.156962 | 0.721926 | 0.310125 | -0.31999 | -0.302382 | 0 |
0.170503 | -0.36206 | -0.644161 | 0.616488 | -0.188491 | 0.849782 | 0.882209 | 0.310125 | -0.456971 | 1.516472 | 0 |
0.564468 | 0.205443 | -0.924333 | 1.547792 | 1.220094 | -0.149546 | 0.401361 | 1.010862 | 0.282726 | 0.27628 | 0 |
0.473553 | -0.41788 | -0.644161 | 1.200929 | -0.397171 | 1.791635 | 0.882209 | 0.202319 | -0.511764 | 2.293171 | 0 |
0.114944 | -0.86444 | 0.196358 | -0.918262 | -0.55368 | -1.184101 | 0.641785 | -0.983545 | -1.004896 | -0.384546 | 0 |
0.190706 | -0.715587 | -1.204506 | -1.03705 | -0.74497 | -0.309612 | 0.481502 | 0.310125 | -0.073424 | -1.366306 | 0 |
0.024029 | 1.349753 | -1.06442 | -1.179597 | -0.6928 | 1.352845 | -0.480195 | 0.687445 | 0.885443 | 2.793883 | 0 |
-0.188106 | -0.315543 | -0.083815 | -1.03705 | -0.67541 | 0.538921 | 1.122634 | 0.148416 | -0.785726 | 1.384447 | 0 |
1.210976 | -0.678373 | 0.89679 | 1.390991 | 2.993868 | -0.627271 | 1.122634 | -1.360865 | -1.744594 | 0.251701 | 0 |
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Blackard,Jock. (1998). Covertype. UCI Machine Learning Repository. https://doi.org/10.24432/C50K5N.
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