Datasets:

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Ganesh01kumar02reddy

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Model_Bias_v9

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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 2 new columns ({'identity', 'score'}) and 12 missing columns ({'max_single', 'axis_A', 'score_AB', 'axis_B', 'IAS', 'sign_consistent', 'ias_flag', 'abs_score_B', 'score_A', 'pair', 'score_B', 'abs_score_A'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9/raw_multimodel/all_scores_master.csv (at revision 806f8591800cad7038a601a3936d0b4657a76371), ['hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/analysis_multimodel/analysis_df_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/all_scores_master.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/ceat_IndicBERT-v2.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/ceat_ModernBERT.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/ceat_MuRIL.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/ceat_XLM-R-large.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/ceat_mBERT.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/mlm_IndicBERT-v2.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/mlm_ModernBERT.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/mlm_MuRIL.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/mlm_XLM-R-large.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/mlm_mBERT.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/seat_BGE-M3.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/seat_E5-large.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/seat_IndicSBERT.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/seat_MuRIL.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/seat_Qwen3-Emb-4B.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/seat_mpnet-multi.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/ablation_results_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/analysis_df_with_lir_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/feature_importance_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/full_results_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/lodo_breakdown_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/lomo_breakdown_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/lomoo_breakdown_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/ml_model_summary_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/pair_amplification_summary_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/spearman_dataset_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/spearman_global_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/spearman_method_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/spearman_model_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/spearman_pair_multimodel.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 784, 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 795, 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
              method: string
              model: string
              dataset: string
              identity: string
              score: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 842
              to
              {'method': Value('string'), 'model': Value('string'), 'dataset': Value('string'), 'pair': Value('string'), 'axis_A': Value('string'), 'axis_B': Value('string'), 'score_A': Value('float64'), 'score_B': Value('float64'), 'score_AB': Value('float64'), 'abs_score_A': Value('float64'), 'abs_score_B': Value('float64'), 'max_single': Value('float64'), 'IAS': Value('float64'), 'sign_consistent': Value('bool'), 'ias_flag': 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 2 new columns ({'identity', 'score'}) and 12 missing columns ({'max_single', 'axis_A', 'score_AB', 'axis_B', 'IAS', 'sign_consistent', 'ias_flag', 'abs_score_B', 'score_A', 'pair', 'score_B', 'abs_score_A'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9/raw_multimodel/all_scores_master.csv (at revision 806f8591800cad7038a601a3936d0b4657a76371), ['hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/analysis_multimodel/analysis_df_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/all_scores_master.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/ceat_IndicBERT-v2.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/ceat_ModernBERT.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/ceat_MuRIL.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/ceat_XLM-R-large.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/ceat_mBERT.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/mlm_IndicBERT-v2.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/mlm_ModernBERT.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/mlm_MuRIL.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/mlm_XLM-R-large.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/mlm_mBERT.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/seat_BGE-M3.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/seat_E5-large.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/seat_IndicSBERT.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/seat_MuRIL.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/seat_Qwen3-Emb-4B.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/raw_multimodel/per_model/seat_mpnet-multi.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/ablation_results_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/analysis_df_with_lir_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/feature_importance_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/full_results_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/lodo_breakdown_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/lomo_breakdown_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/lomoo_breakdown_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/ml_model_summary_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/pair_amplification_summary_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/spearman_dataset_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/spearman_global_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/spearman_method_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/spearman_model_multimodel.csv', 'hf://datasets/Ganesh01kumar02reddy/Model_Bias_v9@806f8591800cad7038a601a3936d0b4657a76371/results/spearman_pair_multimodel.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)