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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 1 new columns ({'Markers'}) and 15 missing columns ({'CD64', 'CD11C', 'CD123', 'CD38', 'CD20', 'CD45', 'CD16', 'CD19', 'CD34', 'CD3', 'CD8', 'CD7', 'CD4', 'HLADR', 'Unnamed: 0'}).

This happened while the csv dataset builder was generating data using

hf://datasets/PlMazet/benchmark_datasets/aml/panels/S_0.csv (at revision b30afc845018cc160239368b9fd64e6b09eba022), ['hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/aml/aml_table.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/aml/panels/S_0.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/aml/panels/S_1.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/aml/panels/S_2.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/aml/panels/S_3.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/aml/panels/S_4.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/aml/panels/S_5.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/bmmc/bmmc_table.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/bmmc/panels/S_0.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/bmmc/panels/S_1.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/bmmc/panels/S_2.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/bmmc/panels/S_3.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/bmmc/panels/S_4.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/bmmc/panels/S_5.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR1.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR2.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR3.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR4.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR5.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR6.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR7.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR8.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR9.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/R1.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/R10.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/R11.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/R2.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/R3.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/R4.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/R5.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/R6.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/R7.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/R8.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/R9.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/nilsson_rare/panels/Nilsson_rare_single_donor.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/nsclc_antipd1/panels/J002A.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/nsclc_antipd1/panels/J002B.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/nsclc_antipd1/panels/J002C.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/nsclc_antipd1/panels/J003A.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/nsclc_antipd1/panels/J004A.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/nsclc_antipd1/panels/J005A.csv', 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'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P015_PeaStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P015_UnStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P042_PeaStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P042_UnStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P052_PeaStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P052_UnStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P063_PeaStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P063_UnStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P075_PeaStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P075_UnStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P079_PeaStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P079_UnStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P085_PeaStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P085_UnStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P090_PeaStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P090_UnStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P107_PeaStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P107_UnStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P111_PeaStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P111_UnStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P112_PeaStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P112_UnStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P115_PeaStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P115_UnStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P116_PeaStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P116_UnStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P117_PeaStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P117_UnStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P120_PeaStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/panels/P120_UnStim_label_expression.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/poised/poised_table.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000261792_Tcell_B1_003.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000346329_Tcell_C1_005.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000346331_Tcell_D1_007.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000353081_Tcell_E1_009.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000376039_Tcell_F1_011.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000554310_Tcell_G1_013.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000555990_Tcell_H1_015.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000565898_Tcell_A4_017.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000574738_Tcell_B4_019.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000581811_Tcell_C4_021.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000618351_Tcell_D4_023.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000629975_Tcell_E4_025.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000630060_Tcell_F4_027.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000633499_Tcell_H4_031.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000636489_Tcell_B7_035.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000639227_Tcell_G4_029.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000640602_Tcell_A1_001.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000644048_Tcell_C1_005.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000644059_Tcell_G4_029.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000646418_Tcell_A7_033.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000654254_Tcell_C7_037.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000654263_Tcell_B1_003.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000656999_Tcell_D1_007.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000657402_Tcell_H4_031.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000657408_Tcell_A7_033.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000663931_Tcell_E1_009.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000664548_Tcell_G1_013.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000666467_Tcell_A4_017.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000668734_Tcell_B7_035.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000669435_Tcell_A4_017.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000670919_Tcell_C4_021.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000676014_Tcell_C4_021.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000676361_Tcell_E4_025.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000679212_Tcell_F1_011.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000679217_Tcell_H1_015.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000679770_Tcell_B4_019.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000683013_Tcell_D4_023.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000684668_Tcell_B4_019.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000685441_Tcell_G4_029.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000685444_Tcell_A7_033.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000688813_Tcell_F4_027.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000692647_Tcell_D4_023.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000692656_Tcell_E4_025.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000695736_Tcell_H4_031.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000701258_Tcell_C7_037.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000703775_Tcell_B7_035.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000706742_Tcell_C7_037.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000715052_Tcell_F4_027.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000716755_Tcell_D7_039.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000721055_Tcell_D7_039.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000721277_Tcell_C1_005.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000721304_Tcell_A1_001.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000723514_Tcell_E1_009.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000729970_Tcell_D1_007.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000732801_Tcell_F1_011.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000739470_Tcell_G1_013.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000754740_Tcell_H1_015.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)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/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/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              Markers: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 392
              to
              {'Unnamed: 0': Value('string'), 'CD19': Value('int64'), 'CD4': Value('float64'), 'CD8': Value('float64'), 'CD34': Value('int64'), 'CD20': Value('float64'), 'CD45': Value('float64'), 'CD123': Value('int64'), 'CD11C': Value('int64'), 'CD7': Value('float64'), 'CD16': Value('float64'), 'CD38': Value('float64'), 'CD3': Value('int64'), 'HLADR': Value('float64'), 'CD64': 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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 1 new columns ({'Markers'}) and 15 missing columns ({'CD64', 'CD11C', 'CD123', 'CD38', 'CD20', 'CD45', 'CD16', 'CD19', 'CD34', 'CD3', 'CD8', 'CD7', 'CD4', 'HLADR', 'Unnamed: 0'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/PlMazet/benchmark_datasets/aml/panels/S_0.csv (at revision b30afc845018cc160239368b9fd64e6b09eba022), ['hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/aml/aml_table.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/aml/panels/S_0.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/aml/panels/S_1.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/aml/panels/S_2.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/aml/panels/S_3.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/aml/panels/S_4.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/aml/panels/S_5.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/bmmc/bmmc_table.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/bmmc/panels/S_0.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/bmmc/panels/S_1.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/bmmc/panels/S_2.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/bmmc/panels/S_3.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/bmmc/panels/S_4.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/bmmc/panels/S_5.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR1.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR2.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR3.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR4.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR5.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR6.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR7.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR8.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/NR9.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/R1.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/krieg_antipd1/panels/R10.csv', 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'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000729970_Tcell_D1_007.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000732801_Tcell_F1_011.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000739470_Tcell_G1_013.csv', 'hf://datasets/PlMazet/benchmark_datasets@b30afc845018cc160239368b9fd64e6b09eba022/top1501/panels/S-0000754740_Tcell_H1_015.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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