Datasets:

---

zaaabik

/

adue-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 8 new columns ({'lr', 'model_name', 'roc_auc', 'probe', 'layer', 'layers_plus', 'adapter_path', 'batch_size'}) and 9 missing columns ({'normalization', 'test-acc', 'md_marginal_roc_auc', 'test-base-max-prob-roc-auc', 'adapter', 'md_roc_auc', 'md_relative_roc_auc', 'model', 'rde_n_components_256_roc_auc'}).

This happened while the csv dataset builder was generating data using

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'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/baseline_results_full_model_on_embeddings_pooling_search/model_electra_train/dataset_CoLa/seed_3/full_trained_cola_seed_3_normalization_True_baselines.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/baseline_results_full_model_on_embeddings_pooling_search/model_electra_train/dataset_CoLa/seed_4/full_trained_cola_seed_4_normalization_True_baselines.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/baseline_results_full_model_on_embeddings_pooling_search/model_electra_train/dataset_NewsGroups/seed_0/full_trained_20newsgroups_seed_0_normalization_True_baselines.csv', 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'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_electra_train/dataset_cola/seed_4/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_electra_train/dataset_toxigen/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_electra_train/dataset_toxigen/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_electra_train/dataset_toxigen/seed_2/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_electra_train/dataset_toxigen/seed_3/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_electra_train/dataset_toxigen/seed_4/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_20newsgroups/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_20newsgroups/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_20newsgroups/seed_2/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_20newsgroups/seed_3/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_20newsgroups/seed_4/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_SST2/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_SST2/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_SST2/seed_2/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_SST2/seed_3/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_SST5/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_SST5/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_SST5/seed_2/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_SST5/seed_3/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_SST5/seed_4/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_cola/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_cola/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_cola/seed_2/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_cola/seed_3/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_cola/seed_4/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_toxigen/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_toxigen/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_toxigen/seed_2/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_toxigen/seed_3/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_entropy_response_finetune/model_roberta_train/dataset_toxigen/seed_4/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_20newsgroups/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_20newsgroups/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_SST2/seed_4/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_SST5/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_SST5/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_SST5/seed_2/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_cola/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_cola/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_cola/seed_2/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_toxigen/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_toxigen/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_20newsgroups/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_20newsgroups/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_SST2/seed_2/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_SST5/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_SST5/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_cola/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_cola/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_toxigen/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_toxigen/seed_1/best_run_metric_df.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/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              model_name: string
              dataset: string
              seed: int64
              train_on_dataset: string
              adapter_path: string
              probe: string
              layer: int64
              layers_plus: int64
              roc_auc: double
              batch_size: int64
              lr: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1529
              to
              {'model': Value('string'), 'adapter': Value('string'), 'dataset': Value('string'), 'train_on_dataset': Value('string'), 'normalization': Value('bool'), 'seed': Value('int64'), 'test-acc': Value('float64'), 'md_roc_auc': Value('float64'), 'md_marginal_roc_auc': Value('float64'), 'md_relative_roc_auc': Value('float64'), 'test-base-max-prob-roc-auc': Value('float64'), 'rde_n_components_256_roc_auc': 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 1892, 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 8 new columns ({'lr', 'model_name', 'roc_auc', 'probe', 'layer', 'layers_plus', 'adapter_path', 'batch_size'}) and 9 missing columns ({'normalization', 'test-acc', 'md_marginal_roc_auc', 'test-base-max-prob-roc-auc', 'adapter', 'md_roc_auc', 'md_relative_roc_auc', 'model', 'rde_n_components_256_roc_auc'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/zaaabik/adue-data/embeddings/results/probes_full_model_ds_with_lr_hyper/electra_train/attention_probes_rocauc.csv (at revision ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1), ['hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/baseline_results_full_model_on_embeddings_pooling_search/model_electra_train/dataset_CoLa/seed_0/full_trained_cola_seed_0_normalization_True_baselines.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/baseline_results_full_model_on_embeddings_pooling_search/model_electra_train/dataset_CoLa/seed_1/full_trained_cola_seed_1_normalization_True_baselines.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/baseline_results_full_model_on_embeddings_pooling_search/model_electra_train/dataset_CoLa/seed_2/full_trained_cola_seed_2_normalization_True_baselines.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/baseline_results_full_model_on_embeddings_pooling_search/model_electra_train/dataset_CoLa/seed_3/full_trained_cola_seed_3_normalization_True_baselines.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/baseline_results_full_model_on_embeddings_pooling_search/model_electra_train/dataset_CoLa/seed_4/full_trained_cola_seed_4_normalization_True_baselines.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/baseline_results_full_model_on_embeddings_pooling_search/model_electra_train/dataset_NewsGroups/seed_0/full_trained_20newsgroups_seed_0_normalization_True_baselines.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/baseline_results_full_model_on_embeddings_pooling_search/model_electra_train/dataset_NewsGroups/seed_1/full_trained_20newsgroups_seed_1_normalization_True_baselines.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/baseline_results_full_model_on_embeddings_pooling_search/model_electra_train/dataset_NewsGroups/seed_2/full_trained_20newsgroups_seed_2_normalization_True_baselines.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/baseline_results_full_model_on_embeddings_pooling_search/model_electra_train/dataset_NewsGroups/seed_3/full_trained_20newsgroups_seed_3_normalization_True_baselines.csv', 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'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_SST2/seed_4/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_SST5/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_SST5/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_SST5/seed_2/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_cola/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_cola/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_cola/seed_2/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_toxigen/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_electra_train/dataset_toxigen/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_20newsgroups/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_20newsgroups/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_SST2/seed_2/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_SST5/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_SST5/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_cola/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_cola/seed_1/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_toxigen/seed_0/best_run_metric_df.csv', 'hf://datasets/zaaabik/adue-data@ae29cd23373ab72ad976330d2d8f5faa1eb7c9e1/embeddings/results/results_on_embeddings_full_model/grid_softmax_response_finetune/model_roberta_train/dataset_toxigen/seed_1/best_run_metric_df.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)