Datasets:

THUgewu
/

cic-ids-2017-flowprep

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "tsfile/tsfile_py_cpp.pyx", line 567, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
              tsfile.exceptions.FileOpenError: 28: 
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
                  with self._open_reader(file) as reader:
                       ~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
                  return TsFileReader(file)
                File "tsfile/tsfile_reader.pyx", line 323, in tsfile.tsfile_reader.TsFileReaderPy.__init__
              SystemError: <class '_weakrefset.WeakSet'> returned a result with an exception set
              
              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/split_names.py", line 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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CIC-IDS-2017 Canonical NetFlow Flowprep (TsFile)

This repository contains an Apache TsFile conversion of DeepTempo/cic-ids-2017-flowprep, a small CIC-IDS-2017 demonstration slice canonicalized by DeepTempo's flowprep tool into a typed NetFlow schema.

Modalities: Time-series.

Source Dataset

Original dataset: DeepTempo/cic-ids-2017-flowprep
Source artifact: data/cic-ids-2017-canonical.parquet
Rows: 101,094 flows
Columns: 13 source columns
Task: binary intrusion-detection / tabular classification
Source format: ZSTD-compressed Parquet, single row group
Source timestamp encoding: int64 epoch microseconds
Source license metadata: other, cic-ids-2017-research-use
License link: https://www.unb.ca/cic/datasets/ids-2017.html

The source dataset is a clean canonical NetFlow table produced by flowprep from a CIC-IDS-2017 sample. It is a demonstration slice, not the full CIC-IDS-2017 dataset. For research use, refer to the official UNB CIC dataset page and cite the original CIC-IDS-2017 paper.

Converted Data

TsFile path: cic_ids_2017_flowprep.tsfile
TsFile table: cic_ids_2017_flowprep
Rows: 101,094
Converted columns: 14 including Time and generated event_rank
Device/TAG groups: 1,780
Time precision: microseconds
Time range: 2017-03-07 01:00:01 UTC to 2017-07-07 12:59:00 UTC
Class balance: 81,171 benign / 19,923 attack

TsFile Schema

timestamp is converted to the TsFile Time column as epoch microseconds and is not retained as a duplicate FIELD.

TAG columns:

attack
label
event_rank

FIELD columns:

src_ip
dest_ip
src_port
dest_port
fwd_bytes
bwd_bytes
fwd_pkts
bwd_pkts
flow_dur
protocol

protocol is null for all rows in this source slice and is preserved as a nullable numeric FIELD for canonical-schema fidelity.

Conversion Notes

This is a network-flow event table. High-cardinality endpoint columns such as src_ip, dest_ip, src_port, and dest_port are kept as FIELD columns rather than TAG/device keys. The low-cardinality ground-truth columns attack and label are TAGs for efficient filtering.

event_rank is a generated TAG that preserves all concurrent flows without modifying Time. It is the duplicate order within (attack, label, Time). In this source snapshot, event_rank ranges from 0 to 1,587 and 88,916 rows have a nonzero rank. The final (attack, label, event_rank, Time) key has no duplicates.

No source rows are dropped. The source timestamp column is represented by TsFile Time; all other source columns are represented either as TAG or FIELD columns.

Minimal Read Example

Read the .tsfile file with the Apache TsFile Java or Python SDK.

Example logical filter:

SELECT *
FROM cic_ids_2017_flowprep
WHERE attack = 'attack'

Citation

If you use the data, cite the original CIC-IDS-2017 paper:

@inproceedings{sharafaldin2018toward,
  title     = {Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization},
  author    = {Sharafaldin, Iman and Lashkari, Arash Habibi and Ghorbani, Ali A.},
  booktitle = {Proceedings of the 4th International Conference on Information Systems Security and Privacy (ICISSP)},
  year      = {2018}
}

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