Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'test' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: FileNotFoundError
Message: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7fb37f76b350>'
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/xml/xml.py", line 67, in _generate_tables
with open(file, encoding=self.config.encoding, errors=self.config.encoding_errors) as f:
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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 961, in xopen
return open(main_hop, mode, *args, **kwargs)
FileNotFoundError: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7fb37f76b350>'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.
Defects4X — container/device assets (250 cases)
This Hugging Face dataset is the runtime companion to the source-level GitHub repository:
- GitHub: https://github.com/146854hgfhbk/Defects
- Scope: 250 cases that are not covered by the 600 pure-source guides
- Elixir 100 — container-oriented
- Swift 100 — container-oriented
- ArkTS 50 — device/emulator-oriented
Security notice
2026-10-22: the reference server that produced the original image tars was compromised by a worm. The 7 prebuilt tars were removed from this dataset. Do not use cached copies. Rebuild the runtime images from source.
What is in this repository
README.md
SECURITY.md
images/
manifest.json # 250 cases -> image/digest/kind/guide
swift-images.json # 5 unique Swift images
elixir-images.json # 98 unique Elixir images
README.md # image policy
build/ # clean-room Dockerfiles + Makefile
PREPARE.md # build/pull instructions
guides/
elixir.md
swift.md
arkts.md
scripts/
pull_images.py
verify_images.py
Build from source
The 7 non-public images are rebuilt from official base images:
cd images/build
make build
make verify
See images/build/README.md. No cache, binary, or toolchain tarball from the
reference server is used. The 96 public Elixir images are pulled by digest.
Image policy
- Elixir: 96 public
swerebenchv2/*images + 2 clean-room-built local images. - Swift: 5 clean-room-built images, 4.67–11.1 GB each.
- ArkTS: no portable image; device/emulator + SDK + signing.
- Old binary tars: removed / untrusted.
- A clean rebuild will not reproduce the old image digests; verify runtime and trigger outcomes instead.
Quick start
# 1. inspect the 250-case map
python - <<'PY'
import json
m=json.load(open('images/manifest.json'))
print(m['case_count'])
for c in m['cases'][:5]: print(c)
PY
# 2. build the non-public images
cd images/build && make build && cd ../..
# 3. pull public Elixir images by digest
python scripts/pull_images.py --language elixir
# 4. read the guide and run the case
less guides/elixir.md
less guides/swift.md
Case counts
| Language | Cases | Unique images | Mode |
|---|---|---|---|
| Elixir | 100 | 98 | container |
| Swift | 100 | 5 | container |
| ArkTS | 50 | 0 | device |
| Total | 250 | 103 |
Source metadata
The 250 case.json files, patches, and environment locks are in the GitHub repository:
https://github.com/146854hgfhbk/Defects/tree/main/cases/elixir
https://github.com/146854hgfhbk/Defects/tree/main/cases/swift
https://github.com/146854hgfhbk/Defects/tree/main/cases/arkts
License and third-party assets
- Metadata and documentation: MIT (same as the GitHub repository).
- Docker base images, SDKs, and toolchains remain under their own licenses.
- Do not redistribute an image unless its license permits it.
- ArkTS device material and signing certificates are not included.
Known limitations
- Elixir image tags/digests were captured from the reference server; some base images are local-only. The manifest records the digest, but a public pull may fail for local-only tags.
- Swift images are local builds; use the Dockerfiles and the toolchain assets described in
guides/swift.md. - ArkTS is
DEVICE_REQUIRED; a container alone is not sufficient.
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