Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Invalid value. in row 0
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
                  df = pandas_read_json(f)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                         ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
                  obj = self._get_object_parser(self.data)
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
                  self._parse()
                  ~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1392, in _parse
                  ujson_loads(json, precise_float=self.precise_float), dtype=None
                  ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              During handling of the above exception, another exception occurred:
              
              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 4523, 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 2768, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2972, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2483, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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/json/json.py", line 327, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Devseis Endpoint Auditor — releases

Desktop app installers for the Devseis Endpoint Auditor: a read-only audit against ISO 27001, GDPR and the EU AI Act, with the fine-tuned Devseis auditor model writing the report on the computer.

Download page: https://devseis-endpoint-auditor.static.hf.space/download.html

Version Platform File SHA-256
0.3.0 macOS 13+ (Apple silicon and Intel) Devseis-Endpoint-Auditor-0.3.0-mac-universal.dmg (226 MB) 4b73a870b73774d8ae8f6e7456635236d4fc79dc2d8d1d77656e66fcabfa871c
0.3.0 macOS 13+ (zip) Devseis-Endpoint-Auditor-0.3.0-mac-universal.zip 75183e7a497d50febb296035db8045444dced3ac84ed3d212f3c685ebda6697b

| 0.3.0 | Windows 10/11 x64 (beta, not yet tested on real Windows) | Devseis-Endpoint-Auditor-0.3.0-windows-x64-setup.exe (113 MB) | 6c02fc51dacf2510f8f00ac352482653cd77c1581cb6f0787b43e63a1f5522dd | | 0.3.0 | Linux x86_64, any distribution (tested on Ubuntu 24.04) | Devseis-Endpoint-Auditor-0.3.0-linux-x86_64.AppImage (128 MB) | c79a6173824b73f1b82534c6de5d2d975ef053e684d64020d05ebb0daa037d82 | | 0.3.0 | Linux x86_64, Debian / Ubuntu package | Devseis-Endpoint-Auditor-0.3.0-linux-x86_64.deb (103 MB) | 1639fc0a9d43b85e52246dee3ce27711b685f28f5f3f5b3803353324815150cc |

latest.json describes the current release (read by the download page).

Install on a Mac

  1. Open the .dmg and drag Devseis Endpoint Auditor to Applications.
  2. Open it. macOS says Apple could not verify it, because this open-source build is ad-hoc signed but not yet notarised. Click Done.
  3. System Settings › Privacy & Security › Devseis Endpoint Auditor was blocked › Open Anyway, confirm with your password.

Or in Terminal: xattr -dr com.apple.quarantine "/Applications/Devseis Endpoint Auditor.app". Verify the download first: shasum -a 256 Devseis-Endpoint-Auditor-0.3.0-mac-universal.dmg.

Install on Windows (beta)

Run the setup .exe. Windows SmartScreen warns about an unknown publisher (the build is not code-signed yet): click More info › Run anyway. The audit asks for administrator rights through the normal Windows (UAC) prompt.

Install on Linux

AppImage: chmod +x Devseis-Endpoint-Auditor-0.3.0-linux-x86_64.AppImage and run it. Debian / Ubuntu: sudo apt install ./Devseis-Endpoint-Auditor-0.3.0-linux-x86_64.deb, then start Devseis Endpoint Auditor from the applications menu. Administrator rights are requested with the desktop's normal (polkit) password prompt.

About the app

The app reads settings only and changes nothing; evidence and reports stay on the computer. On first run it downloads the auditor model (about 1 GB, from Devseis/endpoint-auditor-0.5b-q0f16-MLC) and the signed vulnerability data; the model version follows app/model-version.json on the Space, so installed apps pick up new model versions.

Built from the Space source with npm run dist in app/ (electron-builder, universal binary). Apache-2.0, by Devseis.

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