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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: '168.203.32.73' as a scalar of type int64
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2143, in cast_array_to_feature
                  return array_cast(
                      array,
                  ...<2 lines>...
                      allow_decimal_to_str=allow_decimal_to_str,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2006, in array_cast
                  return array.cast(pa_type)
                         ~~~~~~~~~~^^^^^^^^^
                File "pyarrow/array.pxi", line 1147, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.14/site-packages/pyarrow/compute.py", line 412, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                  result = GetResultValue(
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Failed to parse string: '168.203.32.73' as a scalar of type int64
              
              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

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anomalyID
int64
srcIP
string
srcPort
null
dstIP
string
dstPort
float64
taxonomy
string
heuristic
float64
distance
int64
nbDetectors
string
label
null
0
168.203.32.73
null
null
null
mptmp
0.23749
7
anomalous
null
0
209.114.168.96
null
null
null
mptmp
0.23749
7
anomalous
null
1
null
null
209.114.169.91
80
mptpHTTP
0.29331
6
anomalous
null
2
99.37.172.42
null
168.203.32.10
null
mptmp
0.23717
7
anomalous
null
2
99.37.172.42
null
null
80
mptmp
0.23717
7
anomalous
null
2
null
null
209.114.169.99
80
mptmp
0.23717
7
anomalous
null
2
null
null
168.203.32.10
80
mptmp
0.23717
7
anomalous
null
3
209.114.1.69
null
null
null
ptmp
0.91615
12
anomalous
null
4
173.95.10.146
null
209.114.165.255
null
mptpHTTP
0.03794
5
anomalous
null
4
null
null
209.114.165.255
80
mptpHTTP
0.03794
5
anomalous
null
5
209.114.162.130
null
144.28.150.162
443
alphfl
0.11077
5
anomalous
null
6
209.114.169.91
null
null
null
ptmpHTTP
0.4159
8
anomalous
null
7
null
null
208.17.234.31
null
ntscUDPUDPrp
0.40241
6
anomalous
null
8
218.239.201.38
null
null
null
ipv46tun
0.03814
6
anomalous
null
9
168.203.32.74
null
null
null
mptmp
0.13257
7
anomalous
null
9
null
null
209.114.168.106
null
mptmp
0.13257
7
anomalous
null
9
null
null
209.114.168.106
null
mptmp
0.13257
7
anomalous
null
9
209.114.168.106
null
null
null
mptmp
0.13257
7
anomalous
null
10
null
null
168.203.32.74
null
mptmp
0.42583
7
anomalous
null
10
null
null
209.114.168.96
null
mptmp
0.42583
7
anomalous
null
11
208.31.103.165
null
null
null
ntscUDP
0.44776
3
anomalous
null
12
165.42.240.127
null
null
null
ptmpHTTP
0.44776
3
anomalous
null
13
132.170.69.51
null
null
null
ptmpHTTP
0.01723
4
anomalous
null
14
null
null
209.114.169.96
80
mptpHTTP
0.49007
8
anomalous
null
15
96.72.3.36
null
null
135
ntscSYNt
0.80509
11
anomalous
null
16
159.46.137.5
null
207.157.16.168
null
mptplaHTTP
0.17424
5
anomalous
null
16
168.203.91.224
null
207.157.16.168
null
mptplaHTTP
0.17424
5
anomalous
null
17
128.169.165.49
null
33.143.175.148
null
alphflHTTP
0.40241
6
anomalous
null
18
128.169.6.107
null
null
null
mptmp
0.40241
6
anomalous
null
18
128.169.6.106
null
119.161.132.52
null
mptmp
0.40241
6
anomalous
null
19
168.203.144.129
null
null
null
ptmp
0.01723
4
anomalous
null
20
null
null
208.31.96.197
40,515
ntscUDPUDPrp
0.40241
6
anomalous
null
21
null
null
209.114.173.179
80
mptpHTTP
0.03794
5
anomalous
null
21
null
null
209.114.173.179
53
mptpHTTP
0.03794
5
anomalous
null
22
159.46.237.79
null
40.84.81.151
58,997
mptplaHTTP
0.40241
6
anomalous
null
22
133.71.38.158
null
40.84.81.151
38,953
mptplaHTTP
0.40241
6
anomalous
null
23
159.46.232.166
null
207.157.16.84
null
mptmp
0.40241
6
anomalous
null
23
159.46.232.166
null
null
null
mptmp
0.40241
6
anomalous
null
23
null
null
207.157.16.84
null
mptmp
0.40241
6
anomalous
null
23
null
null
207.157.16.84
null
mptmp
0.40241
6
anomalous
null
23
159.46.232.166
null
32.176.133.188
null
mptmp
0.40241
6
anomalous
null
24
209.179.4.12
null
null
null
hostout
-0.11294
4
suspicious
null
25
null
null
209.114.163.8
null
ntscUDPUDPrp
-0.358122
4
suspicious
null
25
null
null
209.114.163.8
53
ntscUDPUDPrp
-0.358122
4
suspicious
null
26
58.55.89.29
null
168.203.146.225
null
malphfl
-0.14947
4
suspicious
null
27
null
null
132.170.44.195
10,477
mptp
-0.323586
3
suspicious
null
27
null
null
132.170.44.195
17,525
mptp
-0.323586
3
suspicious
null
28
168.203.32.64
null
null
null
ptmpHTTP
-0.03484
5
suspicious
null
29
28.1.141.68
null
null
8,080
ntscSYNt
-0.15567
3
suspicious
null
30
33.143.242.160
null
209.114.163.88
80
mptplaHTTP
-0.15567
3
suspicious
null
30
33.143.242.160
null
209.114.163.88
80
mptplaHTTP
-0.15567
3
suspicious
null
30
45.19.70.40
null
209.114.163.88
80
mptplaHTTP
-0.15567
3
suspicious
null
30
45.19.70.40
null
209.114.163.88
80
mptplaHTTP
-0.15567
3
suspicious
null
31
209.114.164.88
null
null
null
mptmp
-0.0589
5
suspicious
null
31
209.114.164.88
null
null
53
mptmp
-0.0589
5
suspicious
null
31
null
null
209.114.164.88
null
mptmp
-0.0589
5
suspicious
null
31
null
null
209.114.164.88
53
mptmp
-0.0589
5
suspicious
null
32
18.213.55.23
null
null
25
sntscSYNt
-0.15567
3
suspicious
null
33
42.221.72.160
null
null
5,060
ntscUDP
-0.11294
4
suspicious
null
34
197.117.19.142
null
null
3,389
ntscSYNt
-0.15567
3
suspicious
null
35
47.80.165.192
null
null
135
ntscSYNt
-0.15567
3
suspicious
null
36
97.132.165.246
null
null
1,433
ntscSYNt
-0.15567
3
suspicious
null
37
168.203.21.82
null
null
null
ptmpHTTP
-0.2108
3
suspicious
null
37
168.203.21.82
null
null
80
ptmpHTTP
-0.2108
3
suspicious
null
38
209.114.168.97
null
null
null
ptmpla
-0.389427
3
suspicious
null
39
197.97.72.31
null
132.170.93.141
80
mptplaHTTP
-0.24953
2
suspicious
null
39
208.197.70.38
null
132.170.93.141
80
mptplaHTTP
-0.24953
2
suspicious
null
39
208.197.70.42
null
132.170.93.141
80
mptplaHTTP
-0.24953
2
suspicious
null
39
134.222.2.128
null
132.170.93.141
80
mptplaHTTP
-0.24953
2
suspicious
null
40
208.31.189.162
null
null
53
mptmp
-0.402217
3
suspicious
null
40
null
null
208.31.189.162
53
mptmp
-0.402217
3
suspicious
null
41
209.114.163.8
null
null
53
ntscUDP
-0.0589
5
suspicious
null
42
null
null
208.31.96.192
null
mptmp
-0.358122
4
suspicious
null
42
null
null
209.114.162.89
null
mptmp
-0.358122
4
suspicious
null
43
132.170.44.195
null
null
null
ptmp
-0.275135
3
suspicious
null
43
132.170.44.195
null
null
null
ptmp
-0.275135
3
suspicious
null
44
209.114.173.179
null
null
null
ptmpHTTP
-0.05601
4
suspicious
null
44
209.114.173.179
null
null
null
ptmpHTTP
-0.05601
4
suspicious
null
45
96.223.236.160
null
208.31.185.102
null
alphflHTTP
-0.310088
3
suspicious
null
46
132.170.92.80
null
null
null
ptmpHTTP
-0.05601
4
suspicious
null
47
168.203.32.64
null
null
null
ptmpHTTP
-0.19609
3
suspicious
null
48
214.157.74.7
null
209.114.183.62
null
mptplaHTTP
-0.275135
3
suspicious
null
48
119.180.210.185
null
209.114.183.62
null
mptplaHTTP
-0.275135
3
suspicious
null
49
128.180.204.115
null
null
null
mptmp
-0.356821
2
suspicious
null
49
133.71.174.55
null
null
null
mptmp
-0.356821
2
suspicious
null
50
null
null
207.157.16.146
null
mptmp
-0.12005
3
suspicious
null
50
132.170.109.67
null
33.143.240.58
null
mptmp
-0.12005
3
suspicious
null
51
null
null
45.19.106.201
null
mptmp
-0.12005
3
suspicious
null
51
159.46.236.191
null
32.176.139.54
null
mptmp
-0.12005
3
suspicious
null
51
209.114.173.178
null
207.157.16.17
null
mptmp
-0.12005
3
suspicious
null
52
128.180.225.171
null
207.157.16.99
null
mptmp
-0.12005
3
suspicious
null
52
128.180.225.171
null
null
null
mptmp
-0.12005
3
suspicious
null
52
159.46.138.142
null
null
null
mptmp
-0.12005
3
suspicious
null
52
133.71.129.183
null
207.157.16.99
null
mptmp
-0.12005
3
suspicious
null
53
209.114.173.179
null
32.176.129.192
null
alphflHTTP
-0.356821
2
suspicious
null
54
168.203.148.135
null
208.16.16.197
80
mptmp
-0.12005
3
suspicious
null
54
168.203.147.87
null
37.233.129.203
80
mptmp
-0.12005
3
suspicious
null
55
133.71.0.243
null
63.166.129.130
null
ptmplaHTTP
-0.356821
2
suspicious
null
55
133.71.0.243
null
32.176.133.77
null
ptmplaHTTP
-0.356821
2
suspicious
null
56
128.180.172.177
null
207.157.16.111
null
ptmplaHTTP
-0.356821
2
suspicious
null
End of preview.

YAML Metadata Warning:The task_categories "anomaly-detection" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

MAWIFlow / MAWILab source mirror

This repository mirrors the January 2011, January 2016, and January 2021 source artifacts referenced by the official MAWIFlow pipeline. It contains raw, anonymised packet traces and MAWILab annotation files; it is not a ready-to- train flow-table dataset.

Provenance

Important use and redistribution notice

The MAWIFlow source repository states that rights to the raw MAWILab PCAP files and annotations remain with the MAWILab project. This mirror preserves upstream provenance and is published only with permission to redistribute these materials. Users must comply with MAWILab's current terms and applicable institutional, ethical, and legal requirements.

Layout

raw/mawilab-v1.1/year=<YYYY>/month=01/day=<DD>/ contains the original packet capture plus the MAWILab labels for that date. metadata/source_manifest.jsonl contains the original URL, expected source size, and the MAWIFlow DVC pointer for every mirrored file.

Reproducibility

The raw sources were mirrored without changing content. The official MAWIFlow repository provides the downstream annotation, CICFlowMeter flow extraction, and sampling pipeline. Large raw PCAPs should be converted to compressed Parquet flow tables before use in model training.

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