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 6 new columns ({'timestep', 'event_type', 'severity_class', 'vuln_id', 'scanner_id', 'patch_vendor_id'}) and 12 missing columns ({'mean_time_to_remediate_days', 'scanner_coverage', 'internet_exposed_flag', 'criticality_tier', 'patch_mgmt_maturity', 'sla_medium_days', 'environment_type', 'os_family', 'asset_type', 'sbom_depth_score', 'sla_high_days', 'sla_critical_days'}).

This happened while the csv dataset builder was generating data using

hf://datasets/xpertsystems/cyb009-sample/vuln_lifecycle_events.csv (at revision f11c8466e5861a69461f9b0b5a0531eb49c546e5), [/tmp/hf-datasets-cache/medium/datasets/76441685674151-config-parquet-and-info-xpertsystems-cyb009-sampl-5b3fe7c1/hub/datasets--xpertsystems--cyb009-sample/snapshots/f11c8466e5861a69461f9b0b5a0531eb49c546e5/asset_inventory.csv (origin=hf://datasets/xpertsystems/cyb009-sample@f11c8466e5861a69461f9b0b5a0531eb49c546e5/asset_inventory.csv), /tmp/hf-datasets-cache/medium/datasets/76441685674151-config-parquet-and-info-xpertsystems-cyb009-sampl-5b3fe7c1/hub/datasets--xpertsystems--cyb009-sample/snapshots/f11c8466e5861a69461f9b0b5a0531eb49c546e5/vuln_lifecycle_events.csv (origin=hf://datasets/xpertsystems/cyb009-sample@f11c8466e5861a69461f9b0b5a0531eb49c546e5/vuln_lifecycle_events.csv), /tmp/hf-datasets-cache/medium/datasets/76441685674151-config-parquet-and-info-xpertsystems-cyb009-sampl-5b3fe7c1/hub/datasets--xpertsystems--cyb009-sample/snapshots/f11c8466e5861a69461f9b0b5a0531eb49c546e5/vuln_summary.csv (origin=hf://datasets/xpertsystems/cyb009-sample@f11c8466e5861a69461f9b0b5a0531eb49c546e5/vuln_summary.csv), /tmp/hf-datasets-cache/medium/datasets/76441685674151-config-parquet-and-info-xpertsystems-cyb009-sampl-5b3fe7c1/hub/datasets--xpertsystems--cyb009-sample/snapshots/f11c8466e5861a69461f9b0b5a0531eb49c546e5/vulnerability_records.csv (origin=hf://datasets/xpertsystems/cyb009-sample@f11c8466e5861a69461f9b0b5a0531eb49c546e5/vulnerability_records.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 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              vuln_id: string
              asset_id: string
              org_id: string
              event_type: string
              timestep: int64
              severity_class: string
              scanner_id: string
              patch_vendor_id: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1216
              to
              {'asset_id': Value('string'), 'org_id': Value('string'), 'asset_type': Value('string'), 'criticality_tier': Value('string'), 'environment_type': Value('string'), 'os_family': Value('string'), 'scanner_coverage': Value('float64'), 'patch_mgmt_maturity': Value('float64'), 'mean_time_to_remediate_days': Value('float64'), 'sla_critical_days': Value('int64'), 'sla_high_days': Value('int64'), 'sla_medium_days': Value('int64'), 'internet_exposed_flag': Value('int64'), 'sbom_depth_score': 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 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1802, 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 6 new columns ({'timestep', 'event_type', 'severity_class', 'vuln_id', 'scanner_id', 'patch_vendor_id'}) and 12 missing columns ({'mean_time_to_remediate_days', 'scanner_coverage', 'internet_exposed_flag', 'criticality_tier', 'patch_mgmt_maturity', 'sla_medium_days', 'environment_type', 'os_family', 'asset_type', 'sbom_depth_score', 'sla_high_days', 'sla_critical_days'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/xpertsystems/cyb009-sample/vuln_lifecycle_events.csv (at revision f11c8466e5861a69461f9b0b5a0531eb49c546e5), [/tmp/hf-datasets-cache/medium/datasets/76441685674151-config-parquet-and-info-xpertsystems-cyb009-sampl-5b3fe7c1/hub/datasets--xpertsystems--cyb009-sample/snapshots/f11c8466e5861a69461f9b0b5a0531eb49c546e5/asset_inventory.csv (origin=hf://datasets/xpertsystems/cyb009-sample@f11c8466e5861a69461f9b0b5a0531eb49c546e5/asset_inventory.csv), /tmp/hf-datasets-cache/medium/datasets/76441685674151-config-parquet-and-info-xpertsystems-cyb009-sampl-5b3fe7c1/hub/datasets--xpertsystems--cyb009-sample/snapshots/f11c8466e5861a69461f9b0b5a0531eb49c546e5/vuln_lifecycle_events.csv (origin=hf://datasets/xpertsystems/cyb009-sample@f11c8466e5861a69461f9b0b5a0531eb49c546e5/vuln_lifecycle_events.csv), /tmp/hf-datasets-cache/medium/datasets/76441685674151-config-parquet-and-info-xpertsystems-cyb009-sampl-5b3fe7c1/hub/datasets--xpertsystems--cyb009-sample/snapshots/f11c8466e5861a69461f9b0b5a0531eb49c546e5/vuln_summary.csv (origin=hf://datasets/xpertsystems/cyb009-sample@f11c8466e5861a69461f9b0b5a0531eb49c546e5/vuln_summary.csv), /tmp/hf-datasets-cache/medium/datasets/76441685674151-config-parquet-and-info-xpertsystems-cyb009-sampl-5b3fe7c1/hub/datasets--xpertsystems--cyb009-sample/snapshots/f11c8466e5861a69461f9b0b5a0531eb49c546e5/vulnerability_records.csv (origin=hf://datasets/xpertsystems/cyb009-sample@f11c8466e5861a69461f9b0b5a0531eb49c546e5/vulnerability_records.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.

asset_id
string
org_id
string
asset_type
string
criticality_tier
string
environment_type
string
os_family
string
scanner_coverage
float64
patch_mgmt_maturity
float64
mean_time_to_remediate_days
float64
sla_critical_days
int64
sla_high_days
int64
sla_medium_days
int64
internet_exposed_flag
int64
sbom_depth_score
float64
ASSET000001
ORG0001
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ASSET000002
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ASSET000078
ORG0001
iot_firmware_device
high
hybrid_cloud
windows
0.7591
0.5164
48.5
30
90
180
1
0.3571
ASSET000079
ORG0001
saas_integration
medium
edge_iot_fleet
linux
0.7214
0.5324
61.1
60
180
360
1
0.3711
ASSET000080
ORG0001
container_workload
critical
public_cloud_azure
linux
0.8289
0.6533
31.5
7
21
42
1
0.2263
ASSET000081
ORG0001
network_service
high
ot_ics_network
embedded_rtos
0.7873
0.4994
107
30
90
180
0
0.4165
ASSET000082
ORG0001
saas_integration
critical
public_cloud_azure
linux
0.8717
0.6723
24.8
7
21
42
1
0.2264
ASSET000083
ORG0001
web_application
medium
public_cloud_gcp
embedded_rtos
0.7224
0.5689
71.7
60
180
360
1
0.407
ASSET000084
ORG0001
supply_chain_dependency
low
ot_ics_network
windows
0.565
0.5721
73.9
90
270
540
0
0.543
ASSET000085
ORG0001
network_service
critical
on_premises_datacenter
linux
0.7971
0.4535
37.8
7
21
42
0
0.4588
ASSET000086
ORG0001
container_workload
critical
on_premises_datacenter
android_iot
0.887
0.5015
29
7
21
42
0
0.5917
ASSET000087
ORG0001
web_application
high
public_cloud_aws
macos
0.8216
0.5153
96.5
30
90
180
0
0.2836
ASSET000088
ORG0001
network_service
low
public_cloud_gcp
android_iot
0.5955
0.4904
59.8
90
270
540
0
0.3052
ASSET000089
ORG0001
api_gateway
high
ot_ics_network
linux
0.857
0.5988
39.9
30
90
180
1
0.3521
ASSET000090
ORG0001
api_gateway
medium
public_cloud_aws
embedded_rtos
0.702
0.5919
105.6
60
180
360
0
0.41
ASSET000091
ORG0001
network_service
low
hybrid_cloud
macos
0.6274
0.6235
83.5
90
270
540
1
0.4172
ASSET000092
ORG0001
iot_firmware_device
low
public_cloud_gcp
embedded_rtos
0.4468
0.59
56.4
90
270
540
0
0.2333
ASSET000093
ORG0001
supply_chain_dependency
medium
public_cloud_aws
linux
0.7759
0.5915
31.7
60
180
360
0
0.4707
ASSET000094
ORG0001
database_server
low
public_cloud_aws
windows
0.5814
0.5691
49.7
90
270
540
0
0.378
ASSET000095
ORG0001
saas_integration
medium
public_cloud_azure
windows
0.65
0.5949
31.1
60
180
360
0
0.43
ASSET000096
ORG0001
ot_ics_controller
high
public_cloud_aws
android_iot
0.7831
0.5489
48.6
30
90
180
0
0.3579
ASSET000097
ORG0001
api_gateway
medium
public_cloud_gcp
linux
0.7089
0.6165
62.3
60
180
360
0
0.3183
ASSET000098
ORG0001
saas_integration
high
public_cloud_aws
freebsd
0.7531
0.5898
33.4
30
90
180
0
0.6379
ASSET000099
ORG0001
endpoint_workstation
low
hybrid_cloud
android_iot
0.6054
0.5875
74.9
90
270
540
1
0.6447
ASSET000100
ORG0001
server_on_premises
critical
on_premises_datacenter
windows
0.8948
0.537
46.8
7
21
42
0
0.3071
End of preview.