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FelixOtt
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controlled_high_frequency

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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/hdf5/hdf5.py", line 58, in _split_generators
                  with _safe_open_h5py(f, "r") as h5:
                       ~~~~~~~~~~~~~~~^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 390, in _safe_open_h5py
                  f = h5py.File(file, mode)
                File "/usr/local/lib/python3.14/site-packages/h5py/_hl/files.py", line 555, in __init__
                  fid = make_fid(name, mode, userblock_size, fapl, fcpl, swmr=swmr)
                File "/usr/local/lib/python3.14/site-packages/h5py/_hl/files.py", line 232, in make_fid
                  fid = h5f.open(name, flags, fapl=fapl)
                File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
                File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
                File "h5py/h5f.pyx", line 106, in h5py.h5f.open
              OSError: Unable to synchronously open file (truncated file: eof = 51380224, sblock->base_addr = 0, stored_eof = 8989804808)
              
              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 68, 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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GNSS Dataset Recorded with a High-frequency Antenna in a Controlled Indoor Environment for Interference Classification

Latest update: 2024-11-13

Project size: 1.9 TB

Introduction

We publish the GNSS Spectrum Controlled High-Frequency dataset that was recorded in a controlled indoor large-scale environment with a high-frequency antenna. The recording was done in the large-scale industrial Fraunhofer IIS L.I.N.K. test and application center. The dataset contains a variety of interference classes in GNSS signals.

Dataset

The folder GNSS_dataset contains the dataset with the corresponding labels.

The recording was done in parallel with the recording of the dataset 2 of the GNSS Spectrum controlled low-frequency dataset. See the following website: https://gitlab.cc-asp.fraunhofer.de/darcy_gnss/controlled_low_frequency

The following figure shows exemplary snapshots of the spectrogram:

For our spectrum highway dataset 1 recorded along a highway bridge, see the following website: https://gitlab.cc-asp.fraunhofer.de/darcy_gnss/FIOT_highway

For our spectrum highway dataset 2 recorded along a highway bridge, see the following website: https://gitlab.cc-asp.fraunhofer.de/darcy_gnss/fiot_highway2

For our dataset recorded in a controlled environment with a high-frequency antenna, see the following website: https://gitlab.cc-asp.fraunhofer.de/darcy_gnss/FIOT_LC_laboratory

References

For more information of the dataset and results, see our publication. If you use our dataset for your research, please consider citing:

@inproceedings{heublein_raichur_ion,
  author = {Lucas Heublein and Nisha L. Raichur and Tobias Feigl and Tobias Brieger and Fin Heuer and Lennart Asbach and Alexander Rügamer and Felix Ott},
  title = {{Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies}},
  booktitle = {\href{https://www.ion.org/publications/abstract.cfm?articleID=19887}{Proc. of the Intl. Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+)}},
  pages = {1260--1293},
  month = sep,
  year = 2024,
  address = {Baltimore, MD},
  doi = {10.33012/2024.19887}
}

For more information of the low-frequency dataset, see:

@inproceedings{heublein_feigl,
  author = {Lucas Heublein and Tobias Feigl and Thorsten Nowak and Alexander Rügamer and Christopher Mutschler and Felix Ott},
  title = {{Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization}},
  booktitle = {\href{https://arxiv.org/abs/2409.15114}{arXiv preprint arXiv:2409.15114}},
  month = aug,
  year = 2024
}

Acknowledgment

This work has been carried out within the DARCII project, funding code 50NA2401, supported by the German Federal Ministry for Economic Affairs and Climate Action (BMWK), managed by the German Space Agency at DLR and assisted by the Bundesnetzagentur (BNetzA) and the Federal Agency for Cartography and Geodesy (BKG). Additionally, this work was supported by the Bavarian Ministry of Economic Affairs, Regional Development and Energy through the Center for Analytics – Data – Applications (ADA-Center) within the framework of „BAYERN DIGITAL II“ (20-3410-2-9-8).

License

This work is licensed under a CC BY-NC-SA 4.0: Creative Commons Attribution-Noncommercial-ShareAlike, see https://creativecommons.org/licenses/by-nc-sa/4.0/

Kontakt

If you have any questions or tips to improve the datasets, contact us:

Felix Ott: felix.ott@iis.fraunhofer.de

Lucas Heublein: lucas.heublein@iis.fraunhofer.de

Nordostpark 84, 90411 Nürnberg, Germany, GoogleMaps

Fraunhofer Institute for Integrated Circuits IIS, Nürnberg, Germany

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Paper for FelixOtt/controlled_high_frequency

Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization

Paper • 2409.15114 • Published Apr 23, 2025