Datasets:

---

landam

/

eve.json

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 1 new columns ({'metadata'}) and 4 missing columns ({'fileinfo', 'anomaly', 'dhcp', 'app_proto_tc'}).

This happened while the json dataset builder was generating data using

hf://datasets/landam/eve.json/eve.json (at revision f61cfdc2252112d47b04e607125d5f38dad5276b)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              timestamp: string
              flow_id: int64
              in_iface: string
              event_type: string
              src_ip: string
              src_port: int64
              dest_ip: string
              dest_port: int64
              proto: string
              flow: struct<pkts_toserver: int64, pkts_toclient: int64, bytes_toserver: int64, bytes_toclient: int64, start: string, end: string, age: int64, state: string, reason: string, alerted: bool>
                child 0, pkts_toserver: int64
                child 1, pkts_toclient: int64
                child 2, bytes_toserver: int64
                child 3, bytes_toclient: int64
                child 4, start: string
                child 5, end: string
                child 6, age: int64
                child 7, state: string
                child 8, reason: string
                child 9, alerted: bool
              tcp: struct<tcp_flags: string, tcp_flags_ts: string, tcp_flags_tc: string, syn: bool, rst: bool, ack: bool, state: string, ts_max_regions: int64, tc_max_regions: int64, fin: bool, psh: bool>
                child 0, tcp_flags: string
                child 1, tcp_flags_ts: string
                child 2, tcp_flags_tc: string
                child 3, syn: bool
                child 4, rst: bool
                child 5, ack: bool
                child 6, state: string
                child 7, ts_max_regions: int64
                child 8, tc_max_regions: int64
                child 9, fin: bool
                child 10, psh: bool
              app_proto: string
              pkt_src: string
              tls: struct<version: string, ja3: struct<hash: string, string: string>, ja3s: struct<hash: string, string: string>>
                child 0, version: string
                child 1, ja3: struct<hash: string, string: string>
                    child 0, hash: string
                    child 1, string: string
                child 2, ja3s: struct<hash: string, string: string>
                    child 0, hash: string
                    child 1, string: string
              stats: 
              ...
              ng, tx_id: int64, opcode: int64, flags: string, qr: bool, rd: bool, ra: bool, rcode: string, answers: list<item: struct<rrname: string, rrtype: string, ttl: int64, rdata: string>>, grouped: struct<AAAA: list<item: string>, A: list<item: string>>>
                child 0, version: int64
                child 1, type: string
                child 2, id: int64
                child 3, rrname: string
                child 4, rrtype: string
                child 5, tx_id: int64
                child 6, opcode: int64
                child 7, flags: string
                child 8, qr: bool
                child 9, rd: bool
                child 10, ra: bool
                child 11, rcode: string
                child 12, answers: list<item: struct<rrname: string, rrtype: string, ttl: int64, rdata: string>>
                    child 0, item: struct<rrname: string, rrtype: string, ttl: int64, rdata: string>
                        child 0, rrname: string
                        child 1, rrtype: string
                        child 2, ttl: int64
                        child 3, rdata: string
                child 13, grouped: struct<AAAA: list<item: string>, A: list<item: string>>
                    child 0, AAAA: list<item: string>
                        child 0, item: string
                    child 1, A: list<item: string>
                        child 0, item: string
              icmp_type: int64
              icmp_code: int64
              metadata: struct<flowbits: list<item: string>>
                child 0, flowbits: list<item: string>
                    child 0, item: string
              tx_id: int64
              http: struct<hostname: string, url: string, http_method: string, protocol: string, status: int64, length: int64>
                child 0, hostname: string
                child 1, url: string
                child 2, http_method: string
                child 3, protocol: string
                child 4, status: int64
                child 5, length: int64
              to
              {'timestamp': Value(dtype='string', id=None), 'flow_id': Value(dtype='int64', id=None), 'in_iface': Value(dtype='string', id=None), 'event_type': Value(dtype='string', id=None), 'src_ip': Value(dtype='string', id=None), 'src_port': Value(dtype='int64', id=None), 'dest_ip': Value(dtype='string', id=None), 'dest_port': Value(dtype='int64', id=None), 'proto': Value(dtype='string', id=None), 'pkt_src': Value(dtype='string', id=None), 'dns': {'version': Value(dtype='int64', id=None), 'type': Value(dtype='string', id=None), 'id': Value(dtype='int64', id=None), 'rrname': Value(dtype='string', id=None), 'rrtype': Value(dtype='string', id=None), 'tx_id': Value(dtype='int64', id=None), 'opcode': Value(dtype='int64', id=None), 'flags': Value(dtype='string', id=None), 'qr': Value(dtype='bool', id=None), 'rd': Value(dtype='bool', id=None), 'ra': Value(dtype='bool', id=None), 'rcode': Value(dtype='string', id=None), 'answers': [{'rrname': Value(dtype='string', id=None), 'rrtype': Value(dtype='string', id=None), 'ttl': Value(dtype='int64', id=None), 'rdata': Value(dtype='string', id=None), 'srv': {'priority': Value(dtype='int64', id=None), 'weight': Value(dtype='int64', id=None), 'port': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None)}}], 'grouped': {'AAAA': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'A': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'MX': Sequence(feature=Value(dtype='string', id=None), length=-1, id=
              ...
              cap_pressure_max': Value(dtype='int64', id=None), 'http': {'memuse': Value(dtype='int64', id=None), 'memcap': Value(dtype='int64', id=None)}, 'ftp': {'memuse': Value(dtype='int64', id=None), 'memcap': Value(dtype='int64', id=None)}, 'file_store': {'open_files': Value(dtype='int64', id=None)}}, 'icmp_type': Value(dtype='int64', id=None), 'icmp_code': Value(dtype='int64', id=None), 'tx_id': Value(dtype='int64', id=None), 'http': {'hostname': Value(dtype='string', id=None), 'url': Value(dtype='string', id=None), 'http_method': Value(dtype='string', id=None), 'protocol': Value(dtype='string', id=None), 'status': Value(dtype='int64', id=None), 'length': Value(dtype='int64', id=None), 'http_user_agent': Value(dtype='string', id=None), 'http_content_type': Value(dtype='string', id=None)}, 'dhcp': {'type': Value(dtype='string', id=None), 'id': Value(dtype='int64', id=None), 'client_mac': Value(dtype='string', id=None), 'assigned_ip': Value(dtype='string', id=None), 'dhcp_type': Value(dtype='string', id=None), 'hostname': Value(dtype='string', id=None)}, 'fileinfo': {'filename': Value(dtype='string', id=None), 'gaps': Value(dtype='bool', id=None), 'state': Value(dtype='string', id=None), 'stored': Value(dtype='bool', id=None), 'size': Value(dtype='int64', id=None), 'tx_id': Value(dtype='int64', id=None)}, 'anomaly': {'type': Value(dtype='string', id=None), 'event': Value(dtype='string', id=None), 'layer': Value(dtype='string', id=None)}, 'app_proto_tc': Value(dtype='string', id=None)}
              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 1436, 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 1053, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, 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 1 new columns ({'metadata'}) and 4 missing columns ({'fileinfo', 'anomaly', 'dhcp', 'app_proto_tc'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/landam/eve.json/eve.json (at revision f61cfdc2252112d47b04e607125d5f38dad5276b)
              
              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)