Datasets:

salah48484848
/

DAS-dataset

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
shape: list<item: int64>
curve0: struct<x: list<item: double>, y: list<item: double>>
curve1: struct<x: list<item: double>, y: list<item: double>>
curve2: struct<x: list<item: double>, y: list<item: double>>
curve3: struct<x: list<item: double>, y: list<item: double>>
curve4: struct<x: list<item: double>, y: list<item: double>>
vs
shape: list<item: int64>
curve0: struct<x: list<item: double>, y: list<item: double>>
curve1: struct<x: list<item: double>, y: list<item: double>>
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/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 572, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              shape: list<item: int64>
              curve0: struct<x: list<item: double>, y: list<item: double>>
              curve1: struct<x: list<item: double>, y: list<item: double>>
              curve2: struct<x: list<item: double>, y: list<item: double>>
              curve3: struct<x: list<item: double>, y: list<item: double>>
              curve4: struct<x: list<item: double>, y: list<item: double>>
              vs
              shape: list<item: int64>
              curve0: struct<x: list<item: double>, y: list<item: double>>
              curve1: struct<x: list<item: double>, y: list<item: double>>

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DAS Event Classification Dataset (Mirror)

⚠️ Disclaimer & Attribution

I am not the author of this dataset. This repository is a community-maintained mirror created to facilitate easier access to the data via Hugging Face, as the original files are large. No affiliation exists between the maintainer of this Hugging Face repo and the original research team.

Original Study: Comprehensive Dataset for Event Classification Using Distributed Acoustic Sensing (DAS) Systems Authors: Alasali, A., et al.
Published in: Scientific Data (2025)
Original Paper: https://doi.org/10.1038/s41597-025-05088-4

License Information

This dataset is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.

To view a copy of this license, visit: http://creativecommons.org/licenses/by-nc-nd/4.0/

Under this license, you must:

Attribution: Give appropriate credit to the original authors (see citation below).
Non-Commercial: You may not use the material for commercial purposes.
No-Derivatives: If you remix, transform, or build upon the material, you may not distribute the modified material.

Dataset Description

This dataset contains Distributed Acoustic Sensing (DAS) data for event classification.

Note on this Mirror: * This repository contains the data files only.

The original Python example scripts and supplementary code provided by the authors have been omitted here to keep the focus on data hosting. Please refer to the original paper where the original data is distibuted.

Citation

If you use this data in your research, please cite the original authors:

@article{alasali2025comprehensive,
  title={Comprehensive Dataset for Event Classification Using Distributed Acoustic Sensing (DAS) Systems},
  author={Alasali, A. and others},
  journal={Scientific Data},
  volume={12},
  pages={793},
  year={2025},
  publisher={Nature Publishing Group},
  doi={10.1038/s41597-025-05088-4}
}

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