Datasets:
The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0xb0 in position 58: invalid start byte
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4645, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2866, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3073, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2581, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/csv/csv.py", line 196, in _generate_tables
csv_file_reader = pd.read_csv(file, iterator=True, dtype=dtype, **self.config.pd_read_csv_kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/streaming.py", line 73, in wrapper
return function(*args, download_config=download_config, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1275, in xpandas_read_csv
out = pd.read_csv(f, **kwargs)
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1026, in read_csv
return _read(filepath_or_buffer, kwds)
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 620, in _read
parser = TextFileReader(filepath_or_buffer, **kwds)
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1620, in __init__
self._engine = self._make_engine(f, self.engine)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1898, in _make_engine
return mapping[engine](f, **self.options)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 93, in __init__
self._reader = parsers.TextReader(src, **kwds)
~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "pandas/_libs/parsers.pyx", line 574, in pandas._libs.parsers.TextReader.__cinit__
File "pandas/_libs/parsers.pyx", line 663, in pandas._libs.parsers.TextReader._get_header
File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
File "pandas/_libs/parsers.pyx", line 2053, in pandas._libs.parsers.raise_parser_error
File "<frozen codecs>", line 325, in decode
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xb0 in position 58: invalid start byteNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
pipe-safe Dataset
Description
This dataset was created within the project Lebensadern für unsere Wirtschaft: Sichere Verlegung von Gas- und Wasser-Rohrleitungsinfrastruktur durch KI-gestützte Qualitätssicherung (short name: pipe-safe, funding code 03DPS1206, BMFTR).
The dataset contains time-series measurements from heated-element butt welding experiments of PE 100-RC pipe segments. For each experiment, the recorded signals include:
- displacement (path),
- force,
- heat flux density on the left side of the heating element,
- heat flux density on the right side of the heating element.
In addition, a metadata table (list.csv) provides the corresponding short-term welding factor and the process setpoints used during each experiment.
The dataset has been preprocessed. Only the alignment and heating phases are included, and heat flux densities were obtained from raw voltage measurements using a linear sensor calibration.
The data were acquired at SKZ using a WIDOS 2500 S CNC 3.0 welding machine and a QuantumX MX840A measurement amplifier (Hottinger Baldwin Messtechnik GmbH).
A total of 92 experiments are included. Some measurements were discarded during quality control; therefore, experiment IDs are not consecutive.
File Structure
The experiment ID in list.csv corresponds to the file:
preprocessed_timeseries_[ID].csv
Metadata (list.csv)
| Column | Description |
|---|---|
ID |
Experiment identifier |
short_term_welding_factor |
Target variable |
heating_element_temperature |
Heating element setpoint [°C] |
pressure |
Pressure setpoint [N/mm²] |
alignment_time |
Alignment time setpoint [s] |
heating_up_time |
Heating-up time setpoint [s] |
The process parameters represent machine setpoints rather than measured values.
Time-Series Files (preprocessed_timeseries_[ID].csv)
| Column | Unit | Description |
|---|---|---|
t |
s | Time |
q_l |
W/cm² | Heat flux density, left side |
q_r |
W/cm² | Heat flux density, right side |
x_l |
mm | Displacement, left side |
x_r |
mm | Displacement, right side |
F_l |
N | Force, left side |
F_r |
N | Force, right side |
The suffixes _l and _r indicate measurements on the left and right side of the heating element, respectively.
Measurements are sampled at 50 Hz (Δt = 0.02 s).
Heat flux densities (q_l and q_r) were derived from sensor voltage signals using a linear calibration model. Displacement (x) and force (F) signals were recorded directly by the measurement system.
Intended Use
The dataset was developed for training machine-learning models that predict the short-term welding factor during the welding process in real time.
license: cc-by-4.0
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