The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0xb5 in position 12: invalid start byte
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, 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 4379, 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 2661, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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/text/text.py", line 98, in _generate_tables
batch = f.read(self.config.chunksize)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 844, in read_with_retries
out = read(*args, **kwargs)
File "<frozen codecs>", line 325, in decode
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xb5 in position 12: 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.
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SisFall: A Fall and Movement Dataset (Hugging Face Mirror)
Context & Purpose
This repository serves as a reliable, programmatically accessible mirror of the SisFall dataset for the global Human Activity Recognition (HAR) and Machine Learning community. It allows researchers and engineers to easily hydrate their environments via the Hugging Face API, ensuring complete code reproducibility in open-science workflows without the need for manual zip file transfers or relying on unstable institutional servers.
Data Provenance & Citation
The original data is the SisFall: A Fall and Movement Dataset. It is legally re-hosted here under the Creative Commons Attribution 4.0 International (CC BY 4.0) license to facilitate open-source machine learning pipelines. All credit for the rigorous data collection, hardware engineering, and initial validation belongs strictly to the original authors.
- Original Paper: Sucerquia, A., López, J. D., & Vargas-Bonilla, J. F. (2017). SisFall: A Fall and Movement Dataset. Sensors, 17(1), 198.
- DOI: https://doi.org/10.3390/s17010198
Ethical & Safety Notice (SOTIF)
Ethical Deployment Warning: While SisFall is an excellent foundational dataset for baseline Human Activity Recognition (HAR), researchers should be acutely aware of critical demographic imbalances before using this data to train models for safety-critical, edge-native wearable devices.
Specifically, the elderly cohort (subjects SE01-SE15) contains severe class imbalances regarding hard impacts and falls. Evaluating or training models without rigorously addressing this covariate shift may lead to dangerously uncalibrated confidence scores and Out-of-Distribution (OOD) failures when deployed on frail populations. Researchers are highly encouraged to evaluate models trained on this data through a strict Safety of the Intended Functionality (SOTIF / ISO 21448) framework.
license: cc-by-4.0
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