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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 14 new columns ({'comm_total_mb', 'f1_binary', 'round_time_s', 'auc_roc', 'precision', 'recall', 'f1_weighted', 'comm_server_mb', 'accuracy', 'f1_macro', 'comm_flat_server_mb', 'comm_flat_total_mb', 'fpr', 'threshold'}) and 12 missing columns ({'cluster_sizes', 'min_sim', 'dispersion', 'max_sim', 'event', 'avg_sim', 'dispersion_random', 'size_entropy', 'dispersion_ratio', 'n_singletons', 'max_cluster', 'sim_spread'}).

This happened while the csv dataset builder was generating data using

hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s42/history.csv (at revision e6f54444379b215de1db53cf0f5e68cf37fac297), ['hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s42/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s43/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s44/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s42/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s43/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s44/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s42/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s43/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s44/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__static__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__static__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__static__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__static_uniform__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__static_uniform__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__static_uniform__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s42/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s43/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s44/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s42/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s43/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s44/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s42/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s43/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s44/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__static__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__static__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__static__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__static_uniform__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__static_uniform__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__static_uniform__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/results/all_results_summary.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
              accuracy: double
              precision: double
              recall: double
              f1_binary: double
              f1_macro: double
              f1_weighted: double
              fpr: double
              auc_roc: double
              threshold: double
              round: int64
              n_reclusterings: int64
              round_time_s: double
              comm_total_mb: double
              comm_server_mb: double
              comm_flat_total_mb: double
              comm_flat_server_mb: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2218
              to
              {'round': Value('int64'), 'event': Value('string'), 'n_reclusterings': Value('int64'), 'cluster_sizes': Value('string'), 'avg_sim': Value('float64'), 'min_sim': Value('float64'), 'max_sim': Value('float64'), 'sim_spread': Value('float64'), 'dispersion': Value('float64'), 'dispersion_random': Value('float64'), 'dispersion_ratio': Value('float64'), 'max_cluster': Value('int64'), 'n_singletons': Value('int64'), 'size_entropy': 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 14 new columns ({'comm_total_mb', 'f1_binary', 'round_time_s', 'auc_roc', 'precision', 'recall', 'f1_weighted', 'comm_server_mb', 'accuracy', 'f1_macro', 'comm_flat_server_mb', 'comm_flat_total_mb', 'fpr', 'threshold'}) and 12 missing columns ({'cluster_sizes', 'min_sim', 'dispersion', 'max_sim', 'event', 'avg_sim', 'dispersion_random', 'size_entropy', 'dispersion_ratio', 'n_singletons', 'max_cluster', 'sim_spread'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s42/history.csv (at revision e6f54444379b215de1db53cf0f5e68cf37fac297), ['hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s42/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s43/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s44/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s42/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s43/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s44/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s42/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s43/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s44/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__static__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__static__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__static__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__static_uniform__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__static_uniform__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/CICIDS2017__CNN_BiLSTM__FedAvg__non_iid__static_uniform__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s42/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s43/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s44/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_fixed__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s42/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s43/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s44/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_old__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s42/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s43/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s44/cluster_log.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__dyn_random__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__static__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__static__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__static__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__static_uniform__s42/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__static_uniform__s43/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/_checkpoints/UNSW_NB15__CNN_BiLSTM__FedAvg__non_iid__static_uniform__s44/history.csv', 'hf://datasets/JabaleNurAdnan/dml-fl-iot-ids-diagnostic@e6f54444379b215de1db53cf0f5e68cf37fac297/results/all_results_summary.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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round
int64
event
string
n_reclusterings
int64
cluster_sizes
string
avg_sim
float64
min_sim
float64
max_sim
float64
sim_spread
float64
dispersion
float64
dispersion_random
float64
dispersion_ratio
float64
max_cluster
int64
n_singletons
int64
size_entropy
float64
6
recluster
1
[11, 9, 1, 1, 2, 1, 1, 2, 1, 1]
0.463707
-0.134112
0.675839
0.809951
0.281079
0.307773
0.9133
11
6
1.7704
11
recluster
2
[15, 3, 3, 1, 2, 1, 1, 2, 1, 1]
0.203094
-0.128194
0.471646
0.59984
0.262981
0.293048
0.8974
15
5
1.735
16
recluster
3
[4, 4, 1, 10, 1, 4, 2, 2, 1, 1]
0.156811
-0.178787
0.414915
0.593703
0.278156
0.287426
0.9677
10
4
1.9867
21
recluster
4
[2, 5, 4, 2, 1, 3, 3, 2, 4, 4]
0.08667
-0.249
0.395129
0.644129
0.22495
0.264232
0.8513
5
1
2.2201
26
recluster
5
[3, 5, 4, 4, 2, 2, 2, 3, 4, 1]
0.062802
-0.167415
0.310265
0.477681
0.239279
0.262323
0.9122
5
1
2.2201
1
null
0
null
null
null
null
null
null
null
null
null
null
null
2
null
0
null
null
null
null
null
null
null
null
null
null
null
3
null
0
null
null
null
null
null
null
null
null
null
null
null
4
null
0
null
null
null
null
null
null
null
null
null
null
null
5
null
0
null
null
null
null
null
null
null
null
null
null
null
6
null
1
null
null
null
null
null
null
null
null
null
null
null
7
null
1
null
null
null
null
null
null
null
null
null
null
null
8
null
1
null
null
null
null
null
null
null
null
null
null
null
9
null
1
null
null
null
null
null
null
null
null
null
null
null
10
null
1
null
null
null
null
null
null
null
null
null
null
null
11
null
2
null
null
null
null
null
null
null
null
null
null
null
12
null
2
null
null
null
null
null
null
null
null
null
null
null
13
null
2
null
null
null
null
null
null
null
null
null
null
null
14
null
2
null
null
null
null
null
null
null
null
null
null
null
15
null
2
null
null
null
null
null
null
null
null
null
null
null
16
null
3
null
null
null
null
null
null
null
null
null
null
null
17
null
3
null
null
null
null
null
null
null
null
null
null
null
18
null
3
null
null
null
null
null
null
null
null
null
null
null
19
null
3
null
null
null
null
null
null
null
null
null
null
null
20
null
3
null
null
null
null
null
null
null
null
null
null
null
21
null
4
null
null
null
null
null
null
null
null
null
null
null
22
null
4
null
null
null
null
null
null
null
null
null
null
null
23
null
4
null
null
null
null
null
null
null
null
null
null
null
24
null
4
null
null
null
null
null
null
null
null
null
null
null
25
null
4
null
null
null
null
null
null
null
null
null
null
null
26
null
5
null
null
null
null
null
null
null
null
null
null
null
27
null
5
null
null
null
null
null
null
null
null
null
null
null
28
null
5
null
null
null
null
null
null
null
null
null
null
null
29
null
5
null
null
null
null
null
null
null
null
null
null
null
30
null
5
null
null
null
null
null
null
null
null
null
null
null
6
recluster
1
[15, 5, 1, 2, 1, 2, 1, 1, 1, 1]
0.424339
-0.120589
0.682552
0.803141
0.251849
0.307406
0.8193
15
6
1.6865
11
recluster
2
[9, 4, 2, 3, 5, 1, 2, 2, 1, 1]
0.210924
-0.111231
0.447576
0.558808
0.192828
0.27758
0.6947
9
3
2.0405
16
recluster
3
[2, 1, 1, 4, 11, 5, 2, 2, 1, 1]
0.179556
-0.102528
0.376643
0.479171
0.235213
0.286285
0.8216
11
4
1.9303
21
recluster
4
[2, 5, 4, 8, 3, 2, 2, 2, 1, 1]
0.13966
-0.195401
0.342193
0.537595
0.21133
0.270746
0.7805
8
2
2.0989
26
recluster
5
[3, 4, 2, 2, 5, 4, 2, 2, 3, 3]
0.064868
-0.128157
0.26695
0.395107
0.253868
0.252533
1.0053
5
0
2.2489
1
null
0
null
null
null
null
null
null
null
null
null
null
null
2
null
0
null
null
null
null
null
null
null
null
null
null
null
3
null
0
null
null
null
null
null
null
null
null
null
null
null
4
null
0
null
null
null
null
null
null
null
null
null
null
null
5
null
0
null
null
null
null
null
null
null
null
null
null
null
6
null
1
null
null
null
null
null
null
null
null
null
null
null
7
null
1
null
null
null
null
null
null
null
null
null
null
null
8
null
1
null
null
null
null
null
null
null
null
null
null
null
9
null
1
null
null
null
null
null
null
null
null
null
null
null
10
null
1
null
null
null
null
null
null
null
null
null
null
null
11
null
2
null
null
null
null
null
null
null
null
null
null
null
12
null
2
null
null
null
null
null
null
null
null
null
null
null
13
null
2
null
null
null
null
null
null
null
null
null
null
null
14
null
2
null
null
null
null
null
null
null
null
null
null
null
15
null
2
null
null
null
null
null
null
null
null
null
null
null
16
null
3
null
null
null
null
null
null
null
null
null
null
null
17
null
3
null
null
null
null
null
null
null
null
null
null
null
18
null
3
null
null
null
null
null
null
null
null
null
null
null
19
null
3
null
null
null
null
null
null
null
null
null
null
null
20
null
3
null
null
null
null
null
null
null
null
null
null
null
21
null
4
null
null
null
null
null
null
null
null
null
null
null
22
null
4
null
null
null
null
null
null
null
null
null
null
null
23
null
4
null
null
null
null
null
null
null
null
null
null
null
24
null
4
null
null
null
null
null
null
null
null
null
null
null
25
null
4
null
null
null
null
null
null
null
null
null
null
null
26
null
5
null
null
null
null
null
null
null
null
null
null
null
27
null
5
null
null
null
null
null
null
null
null
null
null
null
28
null
5
null
null
null
null
null
null
null
null
null
null
null
29
null
5
null
null
null
null
null
null
null
null
null
null
null
30
null
5
null
null
null
null
null
null
null
null
null
null
null
6
recluster
1
[9, 6, 1, 6, 2, 1, 2, 1, 1, 1]
0.44359
-0.082713
0.691293
0.774006
0.263437
0.298797
0.8817
9
5
1.9329
11
recluster
2
[2, 2, 1, 3, 16, 1, 1, 2, 1, 1]
0.242624
-0.223202
0.52084
0.744042
0.283382
0.292902
0.9675
16
5
1.674
16
recluster
3
[8, 6, 2, 3, 3, 2, 3, 1, 1, 1]
0.136752
-0.224997
0.354641
0.579638
0.305486
0.277336
1.1015
8
3
2.0663
21
recluster
4
[4, 4, 2, 1, 2, 4, 6, 3, 2, 2]
0.093696
-0.285802
0.400255
0.686057
0.198944
0.262853
0.7569
6
1
2.1936
26
recluster
5
[3, 2, 1, 4, 4, 3, 3, 5, 4, 1]
0.069461
-0.28307
0.315213
0.598283
0.259023
0.271826
0.9529
5
2
2.2026
1
null
0
null
null
null
null
null
null
null
null
null
null
null
2
null
0
null
null
null
null
null
null
null
null
null
null
null
3
null
0
null
null
null
null
null
null
null
null
null
null
null
4
null
0
null
null
null
null
null
null
null
null
null
null
null
5
null
0
null
null
null
null
null
null
null
null
null
null
null
6
null
1
null
null
null
null
null
null
null
null
null
null
null
7
null
1
null
null
null
null
null
null
null
null
null
null
null
8
null
1
null
null
null
null
null
null
null
null
null
null
null
9
null
1
null
null
null
null
null
null
null
null
null
null
null
10
null
1
null
null
null
null
null
null
null
null
null
null
null
11
null
2
null
null
null
null
null
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12
null
2
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13
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2
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14
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2
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15
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2
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3
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3
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