The dataset viewer is not available for this split.
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 4408, 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 2679, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, 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/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 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_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 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
APT reports
Collected with CTI-Crawler in APT mode. The full collection is the ZIP file
apt_github_distribution_20260922T211548298793Z.zip(about 10.7 GB); the record files next to it are copies of the ZIP's root records so they can be read without downloading the archive.
This collection contains 3051 articles, with 2364 HTML files and 3051 PDFs (687 downloaded as PDF and 2364 converted from HTML). An article available in both formats is counted once.
Layout
01_MITRE_references/
html/
pdf/
02_APT_publishers/
<source>/
html/
pdf/
03_activity_reports/
<source>/
html/
pdf/
Files use short article numbers, such as 000081.html and 000081.pdf. Both versions of an article share the same number.
The article number is assigned when the article is collected and never changes. filename_map.json links each number to its source, URL and crawler output path. Entries with included: false would identify PDFs that could not be generated. In this release every HTML report has a PDF, although some PDFs have issues documented in pdf_issues.json. Number order is not collection order.
Records
| File | Contents |
|---|---|
classifications.json |
Article URLs, sources, collection categories, and paths using original filenames. |
filename_map.json |
Article numbers with their source, URL, crawler output path and path in this archive. |
source_risks.json |
Second-category sources with more than 20% non-APT material in the reviewed sample. Microsoft is also flagged because of its broader content mix, although its full-text sample did not exceed 20%. Reasons and examples are included. |
pdf_issues.json |
PDFs with missing images or text-layer defects, with details per file. |
collection.log |
Packaging time and article counts for each source and source category. |
Review notes
The crawler uses three categories of sources. The second category, 02_APT_publishers, comes from publishers' own APT sections and series and has been checked at the source and sample level, not article by article. The first and third categories were selected for their relevance to APT research, but they have higher rates of non-APT content.
01_MITRE_references contains documents collected from the references on MITRE ATT&CK's Groups pages. We chose these references because many of the listed groups are APT groups that have carried out APT activity. We download all eligible references found in the crawl. They are not all APT activity reports.
03_activity_reports contains material collected directly from publisher websites and third-party repositories. These sources contain substantial APT-related material, but they have not undergone the same sample-based review as the second category.
- ESET Research and Seqrite Technical reports were collected from the publishers' websites. These sections include APT activity, other attacks, malware analysis, and broader security research.
cybermonitor_historycontains PDFs downloaded from CyberMonitor's report collection.blackorbird_reportscontains PDFs downloaded directly from blackorbird/APT_REPORT. We selected its actor and campaign directories plus one reviewed BfV/BSI Signal advisory, and excluded 14 reports confirmed to be already held in our collection.
02_APT_publishers contains sources with more relevant APT reports. But our sample checks still found some non-APT content.
All HTML reports have corresponding PDFs. 392 of them are missing one or more images that could not be retrieved (placeholders mark the spots). 2 PDFs display their text correctly but lose a few combining marks of a complex script (for example Myanmar medials in a decoy file name) when the text is copied or searched. pdf_issues.json lists the affected characters and text, and the HTML originals keep them. See pdf_issues.json for the full list and details.
License
The reports in this collection remain the copyright of their original publishers. We only redistribute copies for non-commercial academic and security research. The index and record files we generated (README, classifications.json, filename_map.json, pdf_issues.json, source_risks.json, collection.log) are released under CC BY 4.0. Rights holders who want a report removed can contact changzeli9066@gmail.com.
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