Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    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/webdataset/webdataset.py", line 81, in _split_generators
                  first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
                  fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
                                                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
                  cls = get_filesystem_class(protocol)
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
                  raise ValueError(f"Protocol not known: {protocol}")
              ValueError: Protocol not known: memory
              
              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 71, 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.

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.

CESNET-TimeSeries24 — verbatim Zenodo archives

A faithful mirror of CESNET-TimeSeries24 (DOI 10.5281/zenodo.13382427): per-IP aggregate time series from 40 weeks of CESNET backbone monitoring — 275k+ IP addresses, 548 institution subnets, 283 institutions, at 10-minute / 1-hour / 1-day windows, derived from 66 billion flows.

These are the upstream tar.gz archives, byte-identical, not a conversion. Unlike the flow corpora published alongside this mirror, TimeSeries24 holds aggregates, not flow records — mapping it onto a flow schema would fabricate flows that were never measured. It is published here unmodified so the whole training corpus lives in one place; a dedicated time-series loader is the right way to consume it.

file GB
ip_addresses_full.tar.gz 40.0
institution_subnets.tar.gz 0.77
institutions.tar.gz 0.48
ip_addresses_sample.tar.gz 0.17
ids_relationship.csv / times.tar.gz / weekends_and_holidays.csv <0.01

Archives contain one CSV per time-series ID (metrics: n_flows, n_packets, n_bytes, n_dest_ip, n_dest_asn, n_dest_ports, tcp_udp_ratio_*, dir_ratio_*, avg_duration, avg_ttl; the 1h/1d re-aggregations carry sum_/avg_/std_ variants). ts24-manifest.json records the download provenance.

Licensing & citation

Source dataset © CESNET, CC-BY-4.0; mirrored under the same license. Cite: Koumar, J. et al., CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting, Scientific Data 12:338 (2025). https://doi.org/10.1038/s41597-025-04603-x

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