Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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 | 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 |
End of preview.
No dataset card yet
- Downloads last month
- 245