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Urban-Comfort-Potential

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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 9 new columns ({'overlap_mean', 'centroid_disp_norm', 'jaccard_ci95_lo', 'pattern_spearman', 'dice_mean', 'vote_entropy_bits', 'jaccard_ci95_hi', 'pattern_pearson', 'jaccard_mean'}) and 4 missing columns ({'late_tail_energy_var_mean', 'final_energy_std', 'final_energy_mean', 'final_energy_cv'}).

This happened while the csv dataset builder was generating data using

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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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1893, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              puci_col: string
              feature: string
              jaccard_mean: double
              jaccard_ci95_lo: double
              jaccard_ci95_hi: double
              dice_mean: double
              overlap_mean: double
              centroid_disp_norm: double
              pattern_pearson: double
              pattern_spearman: double
              vote_entropy_bits: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1657
              to
              {'puci_col': Value('string'), 'feature': Value('string'), 'final_energy_mean': Value('float64'), 'final_energy_std': Value('float64'), 'final_energy_cv': Value('float64'), 'late_tail_energy_var_mean': 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 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1895, 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 9 new columns ({'overlap_mean', 'centroid_disp_norm', 'jaccard_ci95_lo', 'pattern_spearman', 'dice_mean', 'vote_entropy_bits', 'jaccard_ci95_hi', 'pattern_pearson', 'jaccard_mean'}) and 4 missing columns ({'late_tail_energy_var_mean', 'final_energy_std', 'final_energy_mean', 'final_energy_cv'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/sijiey/Urban-Comfort-Potential/data/optimisation_result/stability_summary_per_puci_feature.csv (at revision 937f86d786af5c30d38a9114472be94749ada9bd), ['hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result/energy_stability_summary.csv', 'hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result/stability_summary_per_puci_feature.csv', 'hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result_1/PUCI_ising_energy_evolution_pUCI_1_balanced_development_AC_1-T_subway_accessibility.csv', 'hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result_1/PUCI_ising_energy_evolution_pUCI_1_balanced_development_AC_3-T_bus_accessibility.csv', 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'hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result_9/PUCI_ising_energy_evolution_pUCI_4_active_walkability_SP_1-D_imageability.csv', 'hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result_9/PUCI_ising_energy_evolution_pUCI_4_active_walkability_SP_3-D_human_scale.csv', 'hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result_9/PUCI_ising_energy_evolution_pUCI_4_active_walkability_SP_6-E_greenery_rate.csv', 'hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result_9/PUCI_ising_energy_evolution_pUCI_4_active_walkability_SP_7-E_shading_area.csv', 'hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result_9/PUCI_ising_energy_evolution_pUCI_5_tourism_strategy_AC_1-T_subway_accessibility.csv', 'hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result_9/PUCI_ising_energy_evolution_pUCI_5_tourism_strategy_AC_3-T_bus_accessibility.csv', 'hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result_9/PUCI_ising_energy_evolution_pUCI_5_tourism_strategy_CD_1-L_leisure_density.csv', 'hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result_9/PUCI_ising_energy_evolution_pUCI_5_tourism_strategy_FC_3-D_life_density.csv', 'hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result_9/PUCI_ising_energy_evolution_pUCI_5_tourism_strategy_FC_3-R_life_rating.csv', 'hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result_9/PUCI_ising_energy_evolution_pUCI_5_tourism_strategy_SP_1-D_imageability.csv', 'hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result_9/PUCI_ising_energy_evolution_pUCI_5_tourism_strategy_SP_3-D_human_scale.csv', 'hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result_9/PUCI_ising_energy_evolution_pUCI_5_tourism_strategy_SP_6-E_greenery_rate.csv', 'hf://datasets/sijiey/Urban-Comfort-Potential@937f86d786af5c30d38a9114472be94749ada9bd/data/optimisation_result_9/PUCI_ising_energy_evolution_pUCI_5_tourism_strategy_SP_7-E_shading_area.csv']
              
              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)
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puci_col string	feature string	final_energy_mean float64	final_energy_std float64	final_energy_cv float64	late_tail_energy_var_mean float64
pUCI_1_balanced_development	SP_6-E_greenery_rate	-3,875.535297	60.408055	0.015587	645.040049
pUCI_1_balanced_development	SP_1-D_imageability	-3,896.921428	68.741045	0.01764	678.040584
pUCI_1_balanced_development	SP_7-E_shading_area	-3,953.428657	41.198955	0.010421	780.68305
pUCI_1_balanced_development	SP_3-D_human_scale	-3,916.857628	64.712135	0.016521	690.810537
pUCI_1_balanced_development	FC_3-R_life_rating	-3,941.584519	57.666313	0.01463	835.583764
pUCI_1_balanced_development	FC_3-D_life_density	-3,944.286574	60.167332	0.015254	830.370563
pUCI_1_balanced_development	AC_1-T_subway_accessibility	-3,886.930238	51.947685	0.013365	687.909982
pUCI_1_balanced_development	AC_3-T_bus_accessibility	-3,854.123952	53.724893	0.01394	550.515444
pUCI_1_balanced_development	CD_1-L_leisure_density	-3,947.863502	50.27306	0.012734	740.873963
pUCI_2_eco_livable	SP_6-E_greenery_rate	-3,946.945415	54.945519	0.013921	906.000063
pUCI_2_eco_livable	SP_1-D_imageability	-3,935.19784	63.447933	0.016123	839.349431
pUCI_2_eco_livable	SP_7-E_shading_area	-3,943.988422	45.674787	0.011581	882.145925
pUCI_2_eco_livable	SP_3-D_human_scale	-3,940.096887	49.112129	0.012465	950.188518
pUCI_2_eco_livable	FC_3-R_life_rating	-3,967.042574	48.965448	0.012343	1,035.755637
pUCI_2_eco_livable	FC_3-D_life_density	-3,962.457098	50.137582	0.012653	959.351326
pUCI_2_eco_livable	AC_1-T_subway_accessibility	-3,942.601861	56.652922	0.014369	944.494339
pUCI_2_eco_livable	AC_3-T_bus_accessibility	-3,938.990773	51.052563	0.012961	804.938422
pUCI_2_eco_livable	CD_1-L_leisure_density	-3,988.351657	41.778498	0.010475	949.423715
pUCI_3_community_cohension	SP_6-E_greenery_rate	-3,838.740489	49.411254	0.012872	664.999234
pUCI_3_community_cohension	SP_1-D_imageability	-3,850.804791	55.542786	0.014424	649.318164
pUCI_3_community_cohension	SP_7-E_shading_area	-3,905.152578	57.722536	0.014781	623.358683
pUCI_3_community_cohension	SP_3-D_human_scale	-3,850.71214	49.645782	0.012893	604.518134
pUCI_3_community_cohension	FC_3-R_life_rating	-3,926.063665	55.878993	0.014233	690.75533
pUCI_3_community_cohension	FC_3-D_life_density	-3,917.24967	66.829483	0.01706	682.905451
pUCI_3_community_cohension	AC_1-T_subway_accessibility	-3,894.886974	46.395906	0.011912	642.993316
pUCI_3_community_cohension	AC_3-T_bus_accessibility	-3,859.660451	43.207219	0.011195	583.100741
pUCI_3_community_cohension	CD_1-L_leisure_density	-3,894.028777	51.630258	0.013259	672.472559
pUCI_4_active_walkability	SP_6-E_greenery_rate	-3,894.330011	52.838349	0.013568	743.668043
pUCI_4_active_walkability	SP_1-D_imageability	-3,951.608735	69.849569	0.017676	880.309459
pUCI_4_active_walkability	SP_7-E_shading_area	-3,945.357212	55.461658	0.014057	771.238039
pUCI_4_active_walkability	SP_3-D_human_scale	-3,919.618307	59.704998	0.015232	740.917187
pUCI_4_active_walkability	FC_3-R_life_rating	-3,956.32254	51.242984	0.012952	842.151409
pUCI_4_active_walkability	FC_3-D_life_density	-3,955.559752	51.649319	0.013057	907.664928
pUCI_4_active_walkability	AC_1-T_subway_accessibility	-3,910.237335	49.082708	0.012552	762.517318
pUCI_4_active_walkability	AC_3-T_bus_accessibility	-3,916.084232	60.804091	0.015527	665.185747
pUCI_4_active_walkability	CD_1-L_leisure_density	-3,929.025669	54.874733	0.013966	679.394989
pUCI_5_tourism_strategy	SP_6-E_greenery_rate	-3,889.73216	56.343049	0.014485	735.416886
pUCI_5_tourism_strategy	SP_1-D_imageability	-3,941.47494	65.38833	0.01659	738.384536
pUCI_5_tourism_strategy	SP_7-E_shading_area	-3,943.749211	47.401004	0.012019	777.996251
pUCI_5_tourism_strategy	SP_3-D_human_scale	-3,911.181746	49.450481	0.012643	744.670169
pUCI_5_tourism_strategy	FC_3-R_life_rating	-3,946.893253	65.903711	0.016698	794.5694
pUCI_5_tourism_strategy	FC_3-D_life_density	-3,966.519323	62.049238	0.015643	819.280355
pUCI_5_tourism_strategy	AC_1-T_subway_accessibility	-3,911.090018	60.698621	0.01552	710.581126
pUCI_5_tourism_strategy	AC_3-T_bus_accessibility	-3,917.570227	77.510079	0.019785	663.778193
pUCI_5_tourism_strategy	CD_1-L_leisure_density	-3,945.702519	37.964332	0.009622	813.024419
pUCI_1_balanced_development	SP_6-E_greenery_rate	null	null	null	null
pUCI_1_balanced_development	SP_1-D_imageability	null	null	null	null
pUCI_1_balanced_development	SP_7-E_shading_area	null	null	null	null
pUCI_1_balanced_development	SP_3-D_human_scale	null	null	null	null
pUCI_1_balanced_development	FC_3-R_life_rating	null	null	null	null
pUCI_1_balanced_development	FC_3-D_life_density	null	null	null	null
pUCI_1_balanced_development	AC_1-T_subway_accessibility	null	null	null	null
pUCI_1_balanced_development	AC_3-T_bus_accessibility	null	null	null	null
pUCI_1_balanced_development	CD_1-L_leisure_density	null	null	null	null
pUCI_2_eco_livable	SP_6-E_greenery_rate	null	null	null	null
pUCI_2_eco_livable	SP_1-D_imageability	null	null	null	null
pUCI_2_eco_livable	SP_7-E_shading_area	null	null	null	null
pUCI_2_eco_livable	SP_3-D_human_scale	null	null	null	null
pUCI_2_eco_livable	FC_3-R_life_rating	null	null	null	null
pUCI_2_eco_livable	FC_3-D_life_density	null	null	null	null
pUCI_2_eco_livable	AC_1-T_subway_accessibility	null	null	null	null
pUCI_2_eco_livable	AC_3-T_bus_accessibility	null	null	null	null
pUCI_2_eco_livable	CD_1-L_leisure_density	null	null	null	null
pUCI_3_community_cohension	SP_6-E_greenery_rate	null	null	null	null
pUCI_3_community_cohension	SP_1-D_imageability	null	null	null	null
pUCI_3_community_cohension	SP_7-E_shading_area	null	null	null	null
pUCI_3_community_cohension	SP_3-D_human_scale	null	null	null	null
pUCI_3_community_cohension	FC_3-R_life_rating	null	null	null	null
pUCI_3_community_cohension	FC_3-D_life_density	null	null	null	null
pUCI_3_community_cohension	AC_1-T_subway_accessibility	null	null	null	null
pUCI_3_community_cohension	AC_3-T_bus_accessibility	null	null	null	null
pUCI_3_community_cohension	CD_1-L_leisure_density	null	null	null	null
pUCI_4_active_walkability	SP_6-E_greenery_rate	null	null	null	null
pUCI_4_active_walkability	SP_1-D_imageability	null	null	null	null
pUCI_4_active_walkability	SP_7-E_shading_area	null	null	null	null
pUCI_4_active_walkability	SP_3-D_human_scale	null	null	null	null
pUCI_4_active_walkability	FC_3-R_life_rating	null	null	null	null
pUCI_4_active_walkability	FC_3-D_life_density	null	null	null	null
pUCI_4_active_walkability	AC_1-T_subway_accessibility	null	null	null	null
pUCI_4_active_walkability	AC_3-T_bus_accessibility	null	null	null	null
pUCI_4_active_walkability	CD_1-L_leisure_density	null	null	null	null
pUCI_5_tourism_strategy	SP_6-E_greenery_rate	null	null	null	null
pUCI_5_tourism_strategy	SP_1-D_imageability	null	null	null	null
pUCI_5_tourism_strategy	SP_7-E_shading_area	null	null	null	null
pUCI_5_tourism_strategy	SP_3-D_human_scale	null	null	null	null
pUCI_5_tourism_strategy	FC_3-R_life_rating	null	null	null	null
pUCI_5_tourism_strategy	FC_3-D_life_density	null	null	null	null
pUCI_5_tourism_strategy	AC_1-T_subway_accessibility	null	null	null	null
pUCI_5_tourism_strategy	AC_3-T_bus_accessibility	null	null	null	null
pUCI_5_tourism_strategy	CD_1-L_leisure_density	null	null	null	null
null	null	null	null	null	null
null	null	null	null	null	null
null	null	null	null	null	null
null	null	null	null	null	null
null	null	null	null	null	null
null	null	null	null	null	null
null	null	null	null	null	null
null	null	null	null	null	null
null	null	null	null	null	null
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