Datasets:

---

hisham246

/

PC_GMM_Data

like 0

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 382 new columns ({'-1.572877000000000025e-01', '1.354795000000000027e-01', '-1.537932200000000083e-01', '6.415584000000000564e-02', '1.393460599999999938e-01', '-1.566515099999999938e-01', '-7.037821399999999450e-02', '-4.232989599999999880e-02', '-1.560370799999999947e-01', '-1.588017200000000073e-01', '1.715877700000000006e-01', '-1.519693099999999963e-01', '-4.810721800000000020e-02', '-1.618490200000000101e-01', '8.980902000000000329e-02', '-1.563716400000000062e-01', '-4.675837000000000049e-02', '1.610303499999999888e-01', '-1.589136100000000107e-01', '-1.569882200000000116e-01', '1.380513800000000013e-01', '1.064256060000000059e-01', '9.961928400000000239e-02', '-4.672587000000000268e-02', '1.142306599999999978e-01', '1.466474399999999900e-01', '5.906973799999999664e-02', '7.641960000000000419e-02', '9.203689499999999357e-02', '1.204551400000000022e-01', '-4.964747299999999752e-02', '5.589152000000000009e-02', '1.419498800000000005e-01', '8.416510000000000657e-02', '-1.561391000000000029e-01', '-1.528787199999999957e-01', '1.318441800000000053e-01', '9.894187999999999594e-02', '7.739524500000000140e-02', '-1.626433700000000093e-01', '9.075957499999999512e-02', '-1.604494499999999935e-01', '4.511646600000000090e-02', '-1.571819999999999884e-01', '1.497171700000000105e-01', '-1.555159700000000034e-01', '1.432366999999999946e-01', '-1.501638700000000048e-01', '-1.504454000000000069e-01', '7.020233600000000407e-02', '-1.169782899999999987e-01', '-1.561817500000000081e-01', '-1.5621087000000
...
00000000245e-02', '-4.756818299999999999e-02', '-1.636031599999999975e-01', '-1.511215599999999881e-01', '1.515668799999999872e-01', '1.634946800000000033e-01', '-1.571883000000000030e-01', '-1.569251899999999922e-01', '-1.555686300000000133e-01', '1.452437299999999876e-01', '6.509342999999999380e-02', '-1.540980999999999879e-01', '-1.608151300000000006e-01', '1.589078800000000014e-01', '1.487634599999999863e-01', '-5.499931799999999843e-02', '1.041189000000000003e-02', '-1.551140699999999928e-01', '1.628509599999999891e-01', '-7.668055999999999484e-02', '4.344012600000000252e-02', '-4.881921000000000177e-02', '-9.970120000000000718e-03', '6.383268500000000012e-02', '2.672872299999999937e-02', '-9.113005000000000411e-02', '6.318141500000000466e-02', '4.592551999999999746e-03', '-5.692246599999999795e-02', '1.703222400000000136e-01', '-1.547578400000000076e-01', '6.448942400000000352e-02', '-1.609962400000000127e-01', '6.479376000000000579e-02', '-1.541896600000000062e-01', '6.213040300000000071e-02', '-1.553983200000000064e-01', '6.585563999999999307e-02', '-3.521703000000000333e-02', '-4.662661600000000267e-02', '1.458241200000000015e-01', '-1.622505200000000092e-01', '1.543338700000000119e-01', '4.771899799999999858e-02', '-1.572204399999999891e-01', '-1.601935800000000021e-01', '-1.565350299999999917e-01', '1.677523099999999878e-01', '2.082090600000000014e-02', '-1.243653799999999976e-01', '6.229162600000000272e-02', '1.692497599999999991e-01', '-1.559733299999999934e-01'}) and 418 missing columns ({'-4.434401000000000315e-02', '4.619857699999999762e-02', '4.915975799999999785e-02', '-1.618148100000000034e-01', '8.891135000000000010e-02', '-1.529065500000000022e-01', '-5.807121500000000242e-02', '1.597862999999999922e-01', '-5.064103400000000144e-02', '1.749959700000000007e-01', '1.696275600000000106e-01', '1.189977700000000027e-01', '-1.646774300000000135e-01', '-1.624082599999999987e-01', '-5.020178499999999877e-02', '-1.618045899999999981e-01', '-1.722082199999999952e-01', '1.598509700000000089e-01', '-1.628641200000000011e-01', '1.707228899999999883e-01', '-3.835405399999999854e-02', '1.354837399999999914e-01', '1.330736299999999983e-01', '8.852924400000000693e-02', '-1.724327499999999957e-01', '8.769504000000000188e-02', '8.189436999999999411e-02', '-1.617895000000000028e-01', '-3.002995300000000159e-02', '-1.487538200000000088e-01', '1.715264800000000089e-01', '1.605019699999999938e-01', '9.117119999999999391e-02', '-1.627290000000000125e-01', '-1.610360700000000034e-01', '1.491966399999999915e-01', '5.489540000000000435e-04', '-1.520412100000000100e-01', '6.538885999999999310e-02', '1.686735500000000054e-01', '-4.742985000000000256e-02', '5.017159999999999676e-02', '1.568894500000000136e-01', '-6.847459000000000184e-02', '1.706894200000000084e-01', '1.169455600000000040e-01', '1.697011900000000018e-01', '1.087211740000000038e-01', '-1.569479400000000080e-01', '-1.452114300000000024e-01', '1.626440899999999912e-01', '-1.456680300000000039e-01', '-1.542587599999999
...
9599999999973e-01', '3.770728000000000274e-02', '-5.991899199999999731e-02', '9.760425000000000351e-02', '1.693961900000000020e-01', '-5.855723000000000178e-02', '1.681557599999999875e-01', '8.908447599999999578e-02', '-1.320781099999999986e-01', '-1.601090599999999975e-01', '8.920234400000000285e-02', '-1.707063900000000134e-01', '8.916780000000000539e-02', '-4.038921000000000004e-03', '6.303875999999999924e-02', '9.298243000000000480e-02', '9.362798999999999428e-02', '-1.516770600000000024e-01', '-1.481014499999999956e-01', '-1.638896800000000098e-01', '-1.451935799999999888e-01', '-1.456696399999999891e-01', '2.652762999999999996e-02', '8.900102000000000013e-02', '1.644931599999999994e-01', '1.466909600000000091e-01', '-4.457851499999999911e-02', '-1.406288699999999892e-01', '-4.441705700000000284e-02', '5.454901200000000089e-02', '1.659578800000000021e-01', '1.658329699999999962e-01', '-1.634267899999999885e-01', '-1.681053600000000092e-01', '-1.599655899999999908e-01', '-4.899802799999999903e-02', '1.697219199999999983e-01', '-2.725713499999999831e-02', '1.465393899999999916e-01', '-1.579203200000000029e-01', '1.297237400000000040e-01', '-1.661997100000000005e-01', '1.254544999999999966e-01', '-1.600624900000000017e-01', '8.996484400000000214e-02', '1.720168999999999865e-02', '-1.482319099999999945e-01', '8.898976000000000108e-02', '1.271839999999999915e-01', '-5.013100399999999984e-02', '4.693245000000000056e-02', '-4.514359999999999901e-02', '1.786278500000000047e-01'}).

This happened while the csv dataset builder was generating data using

zip://episode_10.csv::/tmp/hf-datasets-cache/medium/datasets/31639605585792-config-parquet-and-info-hisham246-PC_GMM_Data-8d10292b/hub/datasets--hisham246--PC_GMM_Data/snapshots/2979c47512029102efc83bc6589b4dc5f3711632/dataset.zip

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 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              -1.608819499999999958e-01: double
              -1.605049799999999915e-01: double
              -1.605306699999999864e-01: double
              -1.608856300000000017e-01: double
              -1.612327699999999975e-01: double
              -1.613908000000000009e-01: double
              -1.616340400000000066e-01: double
              -1.618490200000000101e-01: double
              -1.619369499999999962e-01: double
              -1.608151300000000006e-01: double
              -1.604494499999999935e-01: double
              -1.601935800000000021e-01: double
              -1.599093799999999899e-01: double
              -1.595958799999999955e-01: double
              -1.593297300000000027e-01: double
              -1.591444599999999876e-01: double
              -1.588867599999999880e-01: double
              -1.586670400000000092e-01: double
              -1.592531799999999942e-01: double
              -1.581742800000000004e-01: double
              -1.584977800000000048e-01: double
              -1.571578700000000051e-01: double
              -1.570346999999999993e-01: double
              -1.564773999999999887e-01: double
              -1.563479500000000133e-01: double
              -1.561060400000000015e-01: double
              -1.556157900000000038e-01: double
              -1.553983200000000064e-01: double
              -1.554260299999999928e-01: double
              -1.555686300000000133e-01: double
              -1.554302100000000131e-01: double
              -1.560370799999999947e-01: double
              -1.563716400000000062e-01: double
              -1.564152400000000109e-01: double
              -1.566023500000000013e-01: double
              -1.569741699999999962e-01: double
              -1.570680299999999974e-01: double
              -1.571883000000000030e-01: double
              -1.580816999999999917e-01: double
              -1.585645800000000105e-01: double
              -1.589136100000000107e-01: double
              -1.597723500000000074e-01: double
              -1.600668299999999933e-01: double
              -1.599783700000000086e-01: double
              -1.5
              ...
              2: double
              7.557168999999999692e-02: double
              7.503121999999999570e-02: double
              7.411557000000000561e-02: double
              7.316527999999999921e-02: double
              7.222715999999999859e-02: double
              7.155543999999999794e-02: double
              7.090607000000000160e-02: double
              7.020233600000000407e-02: double
              6.958554999999999602e-02: double
              6.885970399999999381e-02: double
              6.821249399999999852e-02: double
              6.752524499999999763e-02: double
              6.688378000000000378e-02: double
              6.627542000000000155e-02: double
              6.585563999999999307e-02: double
              6.550216999999999845e-02: double
              6.530600000000000294e-02: double
              6.509342999999999380e-02: double
              6.479376000000000579e-02: double
              6.448942400000000352e-02: double
              6.415584000000000564e-02: double
              6.229162600000000272e-02: double
              6.213040300000000071e-02: double
              6.171118999999999910e-02: double
              6.123721599999999710e-02: double
              6.103053299999999792e-02: double
              6.102488200000000251e-02: double
              6.127299700000000265e-02: double
              6.163641400000000048e-02: double
              6.195625700000000069e-02: double
              6.213663999999999993e-02: double
              6.247421400000000014e-02: double
              6.289788000000000323e-02: double
              6.318141500000000466e-02: double
              6.333152000000000226e-02: double
              6.330189999999999428e-02: double
              6.348180999999999963e-02: double
              6.383268500000000012e-02: double
              6.417180999999999580e-02: double
              6.433717999999999382e-02: double
              6.390234000000000192e-02: double
              6.320808999999999456e-02: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 57555
              to
              {'-1.714495099999999994e-01': Value('float64'), '-1.718630499999999894e-01': Value('float64'), '-1.722437699999999905e-01': Value('float64'), '-1.723899399999999915e-01': Value('float64'), '-1.727146699999999868e-01': Value('float64'), '-1.724327499999999957e-01': Value('float64'), '-1.722082199999999952e-01': Value('float64'), '-1.718419599999999881e-01': Value('float64'), '-1.707063900000000134e-01': Value('float64'), '-1.681053600000000092e-01': Value('float64'), '-1.666986500000000038e-01': Value('float64'), '-1.644778799999999930e-01': Value('float64'), '-1.638896800000000098e-01': Value('float64'), '-1.634267899999999885e-01': Value('float64'), '-1.630661599999999878e-01': Value('float64'), '-1.628641200000000011e-01': Value('float64'), '-1.627486599999999894e-01': Value('float64'), '-1.624082599999999987e-01': Value('float64'), '-1.622947499999999876e-01': Value('float64'), '-1.619047200000000020e-01': Value('float64'), '-1.619075799999999954e-01': Value('float64'), '-1.618045899999999981e-01': Value('float64'), '-1.617895000000000028e-01': Value('float64'), '-1.616878700000000113e-01': Value('float64'), '-1.618148100000000034e-01': Value('float64'), '-1.623328900000000075e-01': Value('float64'), '-1.629691100000000004e-01': Value('float64'), '-1.637617299999999942e-01': Value('float64'), '-1.642665299999999939e-01': Value('float64'), '-1.658226800000000001e-01': Value('float64'), '-1.665683500000000039e-01': Value('float64'), '-1.668929500000000121e-01': Value('float6
              ...
              0285e-02': Value('float64'), '8.908447599999999578e-02': Value('float64'), '8.880857000000000334e-02': Value('float64'), '8.862277000000000349e-02': Value('float64'), '8.852924400000000693e-02': Value('float64'), '8.867598000000000147e-02': Value('float64'), '8.898976000000000108e-02': Value('float64'), '8.932640399999999814e-02': Value('float64'), '8.978431000000000606e-02': Value('float64'), '9.050126000000000004e-02': Value('float64'), '9.104378500000000207e-02': Value('float64'), '9.133600000000000052e-02': Value('float64'), '9.139427499999999704e-02': Value('float64'), '9.110553000000000401e-02': Value('float64'), '9.065212000000000270e-02': Value('float64'), '8.996484400000000214e-02': Value('float64'), '8.949932500000000457e-02': Value('float64'), '8.954193400000000358e-02': Value('float64'), '8.977760999999999381e-02': Value('float64'), '9.033257499999999829e-02': Value('float64'), '9.109101399999999793e-02': Value('float64'), '9.167124000000000106e-02': Value('float64'), '9.216385000000000549e-02': Value('float64'), '9.284684999999999466e-02': Value('float64'), '9.313506000000000562e-02': Value('float64'), '9.319176499999999586e-02': Value('float64'), '9.310464999999999713e-02': Value('float64'), '9.298243000000000480e-02': Value('float64'), '9.304141000000000494e-02': Value('float64'), '9.331877500000000658e-02': Value('float64'), '9.349512999999999574e-02': Value('float64'), '9.362798999999999428e-02': Value('float64'), '9.357118000000000380e-02': Value('float64')}
              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 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 1833, 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 382 new columns ({'-1.572877000000000025e-01', '1.354795000000000027e-01', '-1.537932200000000083e-01', '6.415584000000000564e-02', '1.393460599999999938e-01', '-1.566515099999999938e-01', '-7.037821399999999450e-02', '-4.232989599999999880e-02', '-1.560370799999999947e-01', '-1.588017200000000073e-01', '1.715877700000000006e-01', '-1.519693099999999963e-01', '-4.810721800000000020e-02', '-1.618490200000000101e-01', '8.980902000000000329e-02', '-1.563716400000000062e-01', '-4.675837000000000049e-02', '1.610303499999999888e-01', '-1.589136100000000107e-01', '-1.569882200000000116e-01', '1.380513800000000013e-01', '1.064256060000000059e-01', '9.961928400000000239e-02', '-4.672587000000000268e-02', '1.142306599999999978e-01', '1.466474399999999900e-01', '5.906973799999999664e-02', '7.641960000000000419e-02', '9.203689499999999357e-02', '1.204551400000000022e-01', '-4.964747299999999752e-02', '5.589152000000000009e-02', '1.419498800000000005e-01', '8.416510000000000657e-02', '-1.561391000000000029e-01', '-1.528787199999999957e-01', '1.318441800000000053e-01', '9.894187999999999594e-02', '7.739524500000000140e-02', '-1.626433700000000093e-01', '9.075957499999999512e-02', '-1.604494499999999935e-01', '4.511646600000000090e-02', '-1.571819999999999884e-01', '1.497171700000000105e-01', '-1.555159700000000034e-01', '1.432366999999999946e-01', '-1.501638700000000048e-01', '-1.504454000000000069e-01', '7.020233600000000407e-02', '-1.169782899999999987e-01', '-1.561817500000000081e-01', '-1.5621087000000
              ...
              00000000245e-02', '-4.756818299999999999e-02', '-1.636031599999999975e-01', '-1.511215599999999881e-01', '1.515668799999999872e-01', '1.634946800000000033e-01', '-1.571883000000000030e-01', '-1.569251899999999922e-01', '-1.555686300000000133e-01', '1.452437299999999876e-01', '6.509342999999999380e-02', '-1.540980999999999879e-01', '-1.608151300000000006e-01', '1.589078800000000014e-01', '1.487634599999999863e-01', '-5.499931799999999843e-02', '1.041189000000000003e-02', '-1.551140699999999928e-01', '1.628509599999999891e-01', '-7.668055999999999484e-02', '4.344012600000000252e-02', '-4.881921000000000177e-02', '-9.970120000000000718e-03', '6.383268500000000012e-02', '2.672872299999999937e-02', '-9.113005000000000411e-02', '6.318141500000000466e-02', '4.592551999999999746e-03', '-5.692246599999999795e-02', '1.703222400000000136e-01', '-1.547578400000000076e-01', '6.448942400000000352e-02', '-1.609962400000000127e-01', '6.479376000000000579e-02', '-1.541896600000000062e-01', '6.213040300000000071e-02', '-1.553983200000000064e-01', '6.585563999999999307e-02', '-3.521703000000000333e-02', '-4.662661600000000267e-02', '1.458241200000000015e-01', '-1.622505200000000092e-01', '1.543338700000000119e-01', '4.771899799999999858e-02', '-1.572204399999999891e-01', '-1.601935800000000021e-01', '-1.565350299999999917e-01', '1.677523099999999878e-01', '2.082090600000000014e-02', '-1.243653799999999976e-01', '6.229162600000000272e-02', '1.692497599999999991e-01', '-1.559733299999999934e-01'}) and 418 missing columns ({'-4.434401000000000315e-02', '4.619857699999999762e-02', '4.915975799999999785e-02', '-1.618148100000000034e-01', '8.891135000000000010e-02', '-1.529065500000000022e-01', '-5.807121500000000242e-02', '1.597862999999999922e-01', '-5.064103400000000144e-02', '1.749959700000000007e-01', '1.696275600000000106e-01', '1.189977700000000027e-01', '-1.646774300000000135e-01', '-1.624082599999999987e-01', '-5.020178499999999877e-02', '-1.618045899999999981e-01', '-1.722082199999999952e-01', '1.598509700000000089e-01', '-1.628641200000000011e-01', '1.707228899999999883e-01', '-3.835405399999999854e-02', '1.354837399999999914e-01', '1.330736299999999983e-01', '8.852924400000000693e-02', '-1.724327499999999957e-01', '8.769504000000000188e-02', '8.189436999999999411e-02', '-1.617895000000000028e-01', '-3.002995300000000159e-02', '-1.487538200000000088e-01', '1.715264800000000089e-01', '1.605019699999999938e-01', '9.117119999999999391e-02', '-1.627290000000000125e-01', '-1.610360700000000034e-01', '1.491966399999999915e-01', '5.489540000000000435e-04', '-1.520412100000000100e-01', '6.538885999999999310e-02', '1.686735500000000054e-01', '-4.742985000000000256e-02', '5.017159999999999676e-02', '1.568894500000000136e-01', '-6.847459000000000184e-02', '1.706894200000000084e-01', '1.169455600000000040e-01', '1.697011900000000018e-01', '1.087211740000000038e-01', '-1.569479400000000080e-01', '-1.452114300000000024e-01', '1.626440899999999912e-01', '-1.456680300000000039e-01', '-1.542587599999999
              ...
              9599999999973e-01', '3.770728000000000274e-02', '-5.991899199999999731e-02', '9.760425000000000351e-02', '1.693961900000000020e-01', '-5.855723000000000178e-02', '1.681557599999999875e-01', '8.908447599999999578e-02', '-1.320781099999999986e-01', '-1.601090599999999975e-01', '8.920234400000000285e-02', '-1.707063900000000134e-01', '8.916780000000000539e-02', '-4.038921000000000004e-03', '6.303875999999999924e-02', '9.298243000000000480e-02', '9.362798999999999428e-02', '-1.516770600000000024e-01', '-1.481014499999999956e-01', '-1.638896800000000098e-01', '-1.451935799999999888e-01', '-1.456696399999999891e-01', '2.652762999999999996e-02', '8.900102000000000013e-02', '1.644931599999999994e-01', '1.466909600000000091e-01', '-4.457851499999999911e-02', '-1.406288699999999892e-01', '-4.441705700000000284e-02', '5.454901200000000089e-02', '1.659578800000000021e-01', '1.658329699999999962e-01', '-1.634267899999999885e-01', '-1.681053600000000092e-01', '-1.599655899999999908e-01', '-4.899802799999999903e-02', '1.697219199999999983e-01', '-2.725713499999999831e-02', '1.465393899999999916e-01', '-1.579203200000000029e-01', '1.297237400000000040e-01', '-1.661997100000000005e-01', '1.254544999999999966e-01', '-1.600624900000000017e-01', '8.996484400000000214e-02', '1.720168999999999865e-02', '-1.482319099999999945e-01', '8.898976000000000108e-02', '1.271839999999999915e-01', '-5.013100399999999984e-02', '4.693245000000000056e-02', '-4.514359999999999901e-02', '1.786278500000000047e-01'}).
              
              This happened while the csv dataset builder was generating data using
              
              zip://episode_10.csv::/tmp/hf-datasets-cache/medium/datasets/31639605585792-config-parquet-and-info-hisham246-PC_GMM_Data-8d10292b/hub/datasets--hisham246--PC_GMM_Data/snapshots/2979c47512029102efc83bc6589b4dc5f3711632/dataset.zip
              
              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)