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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
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 1393, 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 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
mat unknown | __key__ string | __url__ string |
|---|---|---|
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_0 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1000 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1002 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1003 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1004 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_101 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1011 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1012 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1016 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1017 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1018 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_102 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1020 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1021 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1022 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1025 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_103 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1035 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1038 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1041 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1043 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1045 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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... | OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/CFOEstimation_run1_Radio0_14ft_1133 | hf://datasets/Aadharsh/RepresentationLearning-dataset@69c668482f791d970094546a22b45b276a9352d5/OracleDatasetProcessed-arranged.tar.gz |
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End of preview.
RepresentationLearning dataset
Preprocessed WiFi packets for three wireless tasks, used to train and attack the
multi-task representations in
RepresentationLearning.
Pretrained models and the run registry are in
Aadharsh/RepresentationLearning-models.
The packets are derived from the ORACLE RF fingerprinting dataset (16 USRP X310 transmitters recorded at 11 distances, 2–62 ft).
Files
| File | Size | Contents |
|---|---|---|
OracleDatasetProcessed-arranged.tar.gz |
3.3 GB | 416,244 .mat files (see below) |
rf_partition_dict_0.5.pkl |
5.8 MB | train/val/test split and CFO normalisation constants |
Layout
tar xzf OracleDatasetProcessed-arranged.tar.gz
The archive has a doubled top-level directory. The .mat files are in
OracleDatasetProcessed-arranged/OracleDatasetProcessed-arranged/; point
DATA_BASE_PATH there.
One sample is a triplet sharing the suffix _run1_Radio<r>_<d>ft_<i>.mat:
| Prefix | Variables | Task |
|---|---|---|
RFfingerprinting |
Packet (4000×1 complex), Radio (label, "Radio0"–"Radio15") |
RF fingerprinting (16 classes) |
CFOEstimation |
LSTF (160×1 complex), CFO (scalar, Hz) |
CFO estimation |
ChannelEstimation |
LLTF (160×1 complex), EstChannnel (52×1 complex) |
Channel estimation |
EstChannnel really is spelled with three n's. The archive also contains 24,525
CFOEstimation files without RF/channel partners; no split references them.
Split
rf_partition_dict_0.5.pkl is a dict:
| Key | Value |
|---|---|
train / val / test |
lists of RFfingerprinting_*.mat filenames: 91,323 / 13,070 / 26,180 |
mean_cfo, std_cfo, max_cfo |
CFO statistics of the training split, used to normalise CFO targets |
Filenames are relative to DATA_BASE_PATH. The registry's test metrics for runs
from July 2025 onward were computed on this split, so use it unchanged when
comparing with the registry.
Loading
git clone https://github.com/nasimsoltani/RepresentationLearning.git
cd RepresentationLearning && cp .env.example .env # set DATA_BASE_PATH and PKL_FILE_PATH
python code/rep_lr/inference.py # evaluate the best released model
Each input is normalised to unit RMS and split into I/Q channels by
code/rep_lr/py_datasets.py.
Citation
The ORACLE authors ask that any publication using their data cite:
@inproceedings{sankhe2019oracle,
title={ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks},
author={Sankhe, Kunal and Belgiovine, Mauro and Zhou, Fan and Riyaz, Shamnaz and Ioannidis, Stratis and Chowdhury, Kaushik},
booktitle={IEEE INFOCOM 2019 - IEEE Conference on Computer Communications},
pages={370--378},
year={2019}
}
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