Datasets:

---

shrey1211

/

res-causallm-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 3 new columns ({'importance', 'target', 'source'}) and 2 missing columns ({'CELL_1', 'train'}).

This happened while the csv dataset builder was generating data using

zip://adamson/go.csv::hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/adamson.zip, ['hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/frangieh21_split.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/adamson.zip', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/adamson/go.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/dixit.zip', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/dixit/go.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/go_essential_all/go_essential_all.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman.zip', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman/go.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman/simulation_1_0.75_0.4_20_co_expression_network.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman_perturbench/custom_1_None_0.4_20_co_expression_network.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman_perturbench_seed0/custom_1_None_0.4_20_co_expression_network.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman_perturbench_seed1/custom_1_None_0.4_20_co_expression_network.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman_perturbench_seed2/custom_1_None_0.4_20_co_expression_network.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman_perturbench_seed3/custom_1_None_0.4_20_co_expression_network.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman_perturbench_seed4/custom_1_None_0.4_20_co_expression_network.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/genept/GenePT_embedding_v2.zip', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/graphs/collectri/collectri_edges_norman19_tier1_genes.tsv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/jiang24_split.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/mcfaline23_gxe_splits/mcfaline23_gxe_splits/full_covariate_split.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/mcfaline23_gxe_splits/mcfaline23_gxe_splits/medium_covariate_split.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/mcfaline23_gxe_splits/mcfaline23_gxe_splits/small_covariate_split.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/norman19_splits/split_1.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/norman19_splits/split_2.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/norman19_splits/split_3.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/norman19_splits/split_4.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/norman19_splits/split_5.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/norman19_splits/split_6.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/norman19_splits/split_hardest.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/op3_split.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
              source: string
              target: string
              importance: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 626
              to
              {'CELL_1': Value('string'), 'train': Value('string')}
              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 3 new columns ({'importance', 'target', 'source'}) and 2 missing columns ({'CELL_1', 'train'}).
              
              This happened while the csv dataset builder was generating data using
              
              zip://adamson/go.csv::hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/adamson.zip, ['hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/frangieh21_split.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/adamson.zip', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/adamson/go.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/dixit.zip', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/dixit/go.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/go_essential_all/go_essential_all.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman.zip', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman/go.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman/simulation_1_0.75_0.4_20_co_expression_network.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman_perturbench/custom_1_None_0.4_20_co_expression_network.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman_perturbench_seed0/custom_1_None_0.4_20_co_expression_network.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman_perturbench_seed1/custom_1_None_0.4_20_co_expression_network.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman_perturbench_seed2/custom_1_None_0.4_20_co_expression_network.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman_perturbench_seed3/custom_1_None_0.4_20_co_expression_network.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/gears/norman_perturbench_seed4/custom_1_None_0.4_20_co_expression_network.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/genept/GenePT_embedding_v2.zip', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/graphs/collectri/collectri_edges_norman19_tier1_genes.tsv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/jiang24_split.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/mcfaline23_gxe_splits/mcfaline23_gxe_splits/full_covariate_split.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/mcfaline23_gxe_splits/mcfaline23_gxe_splits/medium_covariate_split.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/mcfaline23_gxe_splits/mcfaline23_gxe_splits/small_covariate_split.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/norman19_splits/split_1.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/norman19_splits/split_2.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/norman19_splits/split_3.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/norman19_splits/split_4.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/norman19_splits/split_5.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/norman19_splits/split_6.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/norman19_splits/split_hardest.csv', 'hf://datasets/shrey1211/res-causallm-data@91fa2ef4a5bb4860e9a3eaef3952d1360f69252e/op3_split.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)