Datasets:

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QuniteZoneTestSpace

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QuniteZoneTestSpace 2

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 19 new columns ({'diffClb', 'SaTime4', 'SaTime2', 'climbRate', 'diffSaTime3', 'q', 'absRoll', 'diffSaTime4', 'Goal', 'diffSaTime2', 'SaTime3', 'curRoll', 'diffSaTime1', 'Sa', 'Sgz', 'SaTime1', 'diffRollRate', 'diffDiffClb', 'p'}) and 145 missing columns ({'support_size_avg', 'vcg_var_deg0_q90mq10', 'nq_nzcnt', 'rhs_c_2_varcoef', 'vcg_constr_deg0_varcoef', 'num_i._variables', 'rhs_c_1_avg', 'vcg_constr_weight1_varcoef', 'impliedBoundCuts', 'covcnt', 'vcg_constr_weight0_varcoef', 'probtype', 'obj_coefs1_avg', 'obj_coef_per_constr1_std', 'vcg_var_weight0_avg', 'vcg_var_deg1_avg', 'vcg_var_deg1_varcoef', 'obj_coef_per_constr0_avg', 'nodeleft_avg', 'mixedIntegerRoundingCuts', 'nodeleft_varcoef', 'A_ij_normalized0_varcoef', 'vcg_var_weight1_avg', 'vcg_constr_deg1_avg', 'vcg_constr_deg2_avg', 'vcg_var_deg0_median', 'A_ij_normalized2_avg', 'mipgap', 'gomoryFractionalCuts', 'n_constr', 'a_normalized_varcoefs1_avg', 'diffGap_avg', 'obj_coef_per_sqr_constr2_avg', 'num_n_variables', 'pre_t', 'vcg_constr_weight1_avg', 'lp_avg', 'diffBestInt_q90mq10', 'vcg_var_deg2_median', 'num_b_variables', 'newin_sum', 'numfeas', 'diffBestObjUp_avg', 'num_unbounded_disc', 'new_row', 'diffObj_median', 'lp_l2_avg', 'clqcnt', 'A_ij_normalized2_varcoef', 'nodecnt', 'vcg_var_deg1_q90mq10', 'diffGap_q90mq10', 'ratio_unbounded_disc', 'support_size_median', 'obj_coef_per_sqr_constr0_std', 'vcg_constr_deg0_median', 'vcg_var_weight1_varcoef', 'ratio_i_variables', 'ratio_c_variables', 'numnewsolution_sum', 'num_c_variables', 'vcg_constr_deg2_q90mq10', 'A_ij_normalized1_avg', 'new_nonzero', 'ratio_b_variables', 'diffGap_varcoef', 'obj_coef_per_constr2_std', 'rel_t', 'vcg_var_weight2_varcoef', 'obj_coefs0_std', 'obj_coefs2_std', 'vcg_var_deg0_avg', 'iinf_median', 'd
...
varcoef', 'iinf_varcoef', 'diffGap_median', 'ratio_s_variables', 'obj_coefs2_avg', 'iinf_q90mq10', 'itcnt_max', 'numcuts_sum', 'obj_coefs0_avg', 'vcg_constr_deg0_q90mq10', 'A_ij_normalized0_avg', 'a_normalized_varcoefs0_avg', 'obj_coef_per_sqr_constr2_std', 'n_vars', 'obj_coef_per_constr2_avg', 'num_s_variables', 'vcg_constr_weight0_avg', 'new_col', 'vcg_var_deg0_varcoef', 'rhs_c_0_avg', 'rhs_c_0_varcoef', 'nq_vars', 'a_normalized_varcoefs2_avg', 'n_nzcnt', 'vcg_var_deg1_median', 'obj_coef_per_constr1_avg', 'diffObj_avg', 'vcg_constr_deg2_median', 'support_size_q90mq10', 'vcg_var_deg2_varcoef', 'diffBestObjUp_q90mq10', 'obj_coef_per_constr0_std', 'cliqueCuts', 'support_size_varcoef', 'nq_constr', 'rhs_c_1_varcoef', 'obj_coef_per_sqr_constr0_avg', 'diffBestInt_median', 'vcg_var_deg2_avg', 'PAR10', 'vcg_var_weight2_avg', 'iinf_avg', 'vcg_constr_deg1_varcoef', 'flowCuts', 'rhs_c_2_avg', 'vcg_constr_deg1_median', 'a_normalized_varcoefs2_varcoef', 'ratio_i._variables', 'vcg_var_weight0_varcoef', 'diffObj_q90mq10', 'A_ij_normalized1_varcoef', 'a_normalized_varcoefs0_varcoef', 'vcg_constr_weight2_avg', 'vcg_constr_deg2_varcoef', 'diffBestObjUp_median', 'vcg_constr_deg1_q90mq10', 'obj_coef_per_sqr_constr1_avg', 'obj_coef_per_sqr_constr1_std', 'num_i_variables', 'lp_objval', 'obj_coefs1_std', 'diffObj_varcoef', 'lp_linf', 'ratio_n_variables', 'clique_table', 'diffBestObjUp_varcoef', 'vcg_var_deg2_q90mq10', 'diffBestInt_varcoef', 'a_normalized_varcoefs1_varcoef', 'vcg_constr_deg0_avg'}).

This happened while the csv dataset builder was generating data using

hf://datasets/QuniteZoneTestSpace/test/elevators.csv (at revision e92a715c20a5b1a30b959b8efd635ba00aad4f7c)

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 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              climbRate: double
              Sgz: double
              p: double
              q: double
              curRoll: double
              absRoll: double
              diffClb: double
              diffRollRate: double
              diffDiffClb: double
              SaTime1: double
              SaTime2: double
              SaTime3: double
              SaTime4: double
              diffSaTime1: double
              diffSaTime2: double
              diffSaTime3: double
              diffSaTime4: double
              Sa: double
              Goal: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2454
              to
              {'probtype': Value(dtype='float64', id=None), 'n_vars': Value(dtype='float64', id=None), 'n_constr': Value(dtype='float64', id=None), 'n_nzcnt': Value(dtype='float64', id=None), 'nq_vars': Value(dtype='float64', id=None), 'nq_constr': Value(dtype='float64', id=None), 'nq_nzcnt': Value(dtype='float64', id=None), 'lp_avg': Value(dtype='float64', id=None), 'lp_l2_avg': Value(dtype='float64', id=None), 'lp_linf': Value(dtype='float64', id=None), 'lp_objval': Value(dtype='float64', id=None), 'num_b_variables': Value(dtype='float64', id=None), 'num_i_variables': Value(dtype='float64', id=None), 'num_c_variables': Value(dtype='float64', id=None), 'num_s_variables': Value(dtype='float64', id=None), 'num_n_variables': Value(dtype='float64', id=None), 'ratio_b_variables': Value(dtype='float64', id=None), 'ratio_i_variables': Value(dtype='float64', id=None), 'ratio_c_variables': Value(dtype='float64', id=None), 'ratio_s_variables': Value(dtype='float64', id=None), 'ratio_n_variables': Value(dtype='float64', id=None), 'num_i._variables': Value(dtype='float64', id=None), 'ratio_i._variables': Value(dtype='float64', id=None), 'num_unbounded_disc': Value(dtype='float64', id=None), 'ratio_unbounded_disc': Value(dtype='float64', id=None), 'support_size_avg': Value(dtype='float64', id=None), 'support_size_median': Value(dtype='float64', id=None), 'support_size_varcoef': Value(dtype='float64', id=None), 'support_size_q90mq10': Value(dtype='float64', id=None), 'rhs_c_0_avg': Value(dtype='float64
              ...
              vg': Value(dtype='float64', id=None), 'iinf_median': Value(dtype='float64', id=None), 'iinf_varcoef': Value(dtype='float64', id=None), 'iinf_q90mq10': Value(dtype='float64', id=None), 'diffBestInt_avg': Value(dtype='float64', id=None), 'diffBestInt_median': Value(dtype='float64', id=None), 'diffBestInt_varcoef': Value(dtype='float64', id=None), 'diffBestInt_q90mq10': Value(dtype='float64', id=None), 'diffBestObjUp_avg': Value(dtype='float64', id=None), 'diffBestObjUp_median': Value(dtype='float64', id=None), 'diffBestObjUp_varcoef': Value(dtype='float64', id=None), 'diffBestObjUp_q90mq10': Value(dtype='float64', id=None), 'numcuts_sum': Value(dtype='float64', id=None), 'diffGap_avg': Value(dtype='float64', id=None), 'diffGap_median': Value(dtype='float64', id=None), 'diffGap_varcoef': Value(dtype='float64', id=None), 'diffGap_q90mq10': Value(dtype='float64', id=None), 'pre_t': Value(dtype='float64', id=None), 'rel_t': Value(dtype='float64', id=None), 'new_row': Value(dtype='float64', id=None), 'new_col': Value(dtype='float64', id=None), 'new_nonzero': Value(dtype='float64', id=None), 'clique_table': Value(dtype='float64', id=None), 'cliqueCuts': Value(dtype='float64', id=None), 'impliedBoundCuts': Value(dtype='float64', id=None), 'flowCuts': Value(dtype='float64', id=None), 'mixedIntegerRoundingCuts': Value(dtype='float64', id=None), 'gomoryFractionalCuts': Value(dtype='float64', id=None), 'algorithm': Value(dtype='float64', id=None), 'PAR10': 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 1417, 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 1049, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 1741, 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 1872, 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 19 new columns ({'diffClb', 'SaTime4', 'SaTime2', 'climbRate', 'diffSaTime3', 'q', 'absRoll', 'diffSaTime4', 'Goal', 'diffSaTime2', 'SaTime3', 'curRoll', 'diffSaTime1', 'Sa', 'Sgz', 'SaTime1', 'diffRollRate', 'diffDiffClb', 'p'}) and 145 missing columns ({'support_size_avg', 'vcg_var_deg0_q90mq10', 'nq_nzcnt', 'rhs_c_2_varcoef', 'vcg_constr_deg0_varcoef', 'num_i._variables', 'rhs_c_1_avg', 'vcg_constr_weight1_varcoef', 'impliedBoundCuts', 'covcnt', 'vcg_constr_weight0_varcoef', 'probtype', 'obj_coefs1_avg', 'obj_coef_per_constr1_std', 'vcg_var_weight0_avg', 'vcg_var_deg1_avg', 'vcg_var_deg1_varcoef', 'obj_coef_per_constr0_avg', 'nodeleft_avg', 'mixedIntegerRoundingCuts', 'nodeleft_varcoef', 'A_ij_normalized0_varcoef', 'vcg_var_weight1_avg', 'vcg_constr_deg1_avg', 'vcg_constr_deg2_avg', 'vcg_var_deg0_median', 'A_ij_normalized2_avg', 'mipgap', 'gomoryFractionalCuts', 'n_constr', 'a_normalized_varcoefs1_avg', 'diffGap_avg', 'obj_coef_per_sqr_constr2_avg', 'num_n_variables', 'pre_t', 'vcg_constr_weight1_avg', 'lp_avg', 'diffBestInt_q90mq10', 'vcg_var_deg2_median', 'num_b_variables', 'newin_sum', 'numfeas', 'diffBestObjUp_avg', 'num_unbounded_disc', 'new_row', 'diffObj_median', 'lp_l2_avg', 'clqcnt', 'A_ij_normalized2_varcoef', 'nodecnt', 'vcg_var_deg1_q90mq10', 'diffGap_q90mq10', 'ratio_unbounded_disc', 'support_size_median', 'obj_coef_per_sqr_constr0_std', 'vcg_constr_deg0_median', 'vcg_var_weight1_varcoef', 'ratio_i_variables', 'ratio_c_variables', 'numnewsolution_sum', 'num_c_variables', 'vcg_constr_deg2_q90mq10', 'A_ij_normalized1_avg', 'new_nonzero', 'ratio_b_variables', 'diffGap_varcoef', 'obj_coef_per_constr2_std', 'rel_t', 'vcg_var_weight2_varcoef', 'obj_coefs0_std', 'obj_coefs2_std', 'vcg_var_deg0_avg', 'iinf_median', 'd
              ...
              varcoef', 'iinf_varcoef', 'diffGap_median', 'ratio_s_variables', 'obj_coefs2_avg', 'iinf_q90mq10', 'itcnt_max', 'numcuts_sum', 'obj_coefs0_avg', 'vcg_constr_deg0_q90mq10', 'A_ij_normalized0_avg', 'a_normalized_varcoefs0_avg', 'obj_coef_per_sqr_constr2_std', 'n_vars', 'obj_coef_per_constr2_avg', 'num_s_variables', 'vcg_constr_weight0_avg', 'new_col', 'vcg_var_deg0_varcoef', 'rhs_c_0_avg', 'rhs_c_0_varcoef', 'nq_vars', 'a_normalized_varcoefs2_avg', 'n_nzcnt', 'vcg_var_deg1_median', 'obj_coef_per_constr1_avg', 'diffObj_avg', 'vcg_constr_deg2_median', 'support_size_q90mq10', 'vcg_var_deg2_varcoef', 'diffBestObjUp_q90mq10', 'obj_coef_per_constr0_std', 'cliqueCuts', 'support_size_varcoef', 'nq_constr', 'rhs_c_1_varcoef', 'obj_coef_per_sqr_constr0_avg', 'diffBestInt_median', 'vcg_var_deg2_avg', 'PAR10', 'vcg_var_weight2_avg', 'iinf_avg', 'vcg_constr_deg1_varcoef', 'flowCuts', 'rhs_c_2_avg', 'vcg_constr_deg1_median', 'a_normalized_varcoefs2_varcoef', 'ratio_i._variables', 'vcg_var_weight0_varcoef', 'diffObj_q90mq10', 'A_ij_normalized1_varcoef', 'a_normalized_varcoefs0_varcoef', 'vcg_constr_weight2_avg', 'vcg_constr_deg2_varcoef', 'diffBestObjUp_median', 'vcg_constr_deg1_q90mq10', 'obj_coef_per_sqr_constr1_avg', 'obj_coef_per_sqr_constr1_std', 'num_i_variables', 'lp_objval', 'obj_coefs1_std', 'diffObj_varcoef', 'lp_linf', 'ratio_n_variables', 'clique_table', 'diffBestObjUp_varcoef', 'vcg_var_deg2_q90mq10', 'diffBestInt_varcoef', 'a_normalized_varcoefs1_varcoef', 'vcg_constr_deg0_avg'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/QuniteZoneTestSpace/test/elevators.csv (at revision e92a715c20a5b1a30b959b8efd635ba00aad4f7c)
              
              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)