Datasets:

---

alirezaaminzadeh

/

logbert-security-events

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
passed: bool
total_sessions: int64
total_events: int64
anomalies_detected: int64
clusters_found: int64
latency_ms: double
session_precision: double
session_recall: double
session_f1: double
pr_auc: double
roc_auc: double
threshold: double
anomaly_sessions: int64
detected_anomalies: int64
false_alerts_per_day: double
detection_delay_events: double
embedding_silhouette: double
inference_latency_ms: double
event_types: list<item: string>
  child 0, item: string
event_count: int64
hostname: string
session_id: string
user: string
duration_seconds: double
events: list<item: struct<event_id: string, timestamp: timestamp[s], raw_message: string, event_type: string (... 138 chars omitted)
  child 0, item: struct<event_id: string, timestamp: timestamp[s], raw_message: string, event_type: string, template: (... 126 chars omitted)
      child 0, event_id: string
      child 1, timestamp: timestamp[s]
      child 2, raw_message: string
      child 3, event_type: string
      child 4, template: string
      child 5, user: string
      child 6, host: string
      child 7, source_ip: string
      child 8, hostname: string
      child 9, metadata: struct<session_id: string, label: string>
          child 0, session_id: string
          child 1, label: string
label: string
to
{'session_id': Value('string'), 'user': Value('string'), 'hostname': Value('string'), 'event_types': List(Value('string')), 'event_count': Value('int64'), 'duration_seconds': Value('float64'), 'label': Value('string'), 'events': List({'event_id': Value('string'), 'timestamp': Value('timestamp[s]'), 'raw_message': Value('string'), 'event_type': Value('string'), 'template': Value('string'), 'user': Value('string'), 'host': Value('string'), 'source_ip': Value('string'), 'hostname': Value('string'), 'metadata': {'session_id': Value('string'), 'label': Value('string')}})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              passed: bool
              total_sessions: int64
              total_events: int64
              anomalies_detected: int64
              clusters_found: int64
              latency_ms: double
              session_precision: double
              session_recall: double
              session_f1: double
              pr_auc: double
              roc_auc: double
              threshold: double
              anomaly_sessions: int64
              detected_anomalies: int64
              false_alerts_per_day: double
              detection_delay_events: double
              embedding_silhouette: double
              inference_latency_ms: double
              event_types: list<item: string>
                child 0, item: string
              event_count: int64
              hostname: string
              session_id: string
              user: string
              duration_seconds: double
              events: list<item: struct<event_id: string, timestamp: timestamp[s], raw_message: string, event_type: string (... 138 chars omitted)
                child 0, item: struct<event_id: string, timestamp: timestamp[s], raw_message: string, event_type: string, template: (... 126 chars omitted)
                    child 0, event_id: string
                    child 1, timestamp: timestamp[s]
                    child 2, raw_message: string
                    child 3, event_type: string
                    child 4, template: string
                    child 5, user: string
                    child 6, host: string
                    child 7, source_ip: string
                    child 8, hostname: string
                    child 9, metadata: struct<session_id: string, label: string>
                        child 0, session_id: string
                        child 1, label: string
              label: string
              to
              {'session_id': Value('string'), 'user': Value('string'), 'hostname': Value('string'), 'event_types': List(Value('string')), 'event_count': Value('int64'), 'duration_seconds': Value('float64'), 'label': Value('string'), 'events': List({'event_id': Value('string'), 'timestamp': Value('timestamp[s]'), 'raw_message': Value('string'), 'event_type': Value('string'), 'template': Value('string'), 'user': Value('string'), 'host': Value('string'), 'source_ip': Value('string'), 'hostname': Value('string'), 'metadata': {'session_id': Value('string'), 'label': Value('string')}})}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              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 1683, 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 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset