Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
digest: string
kind: string
path: string
payload_sha3: string
prev: string
seq: int64
ts: timestamp[s]
owasp_llm_top10: struct<total_findings: int64, files_with_findings: int64, severity: struct<high: int64, medium: int6 (... 943 chars omitted)
child 0, total_findings: int64
child 1, files_with_findings: int64
child 2, severity: struct<high: int64, medium: int64, low: int64>
child 0, high: int64
child 1, medium: int64
child 2, low: int64
child 3, categories: struct<LLM01-PromptInjection: struct<count: int64, findings: list<item: null>>, LLM02-SensitiveInfoD (... 814 chars omitted)
child 0, LLM01-PromptInjection: struct<count: int64, findings: list<item: null>>
child 0, count: int64
child 1, findings: list<item: null>
child 0, item: null
child 1, LLM02-SensitiveInfoDisclosure: struct<count: int64, findings: list<item: null>>
child 0, count: int64
child 1, findings: list<item: null>
child 0, item: null
child 2, LLM03-SupplyChain: struct<count: int64, findings: list<item: null>>
child 0, count: int64
child 1, findings: list<item: null>
child 0, item: null
child 3, LLM04-DataPoisoning: struct<count: int64, findings: list<item: null>>
child 0, count: int64
child 1, findings: list<item: null>
child 0, item: null
child 4, LLM05-ImproperOutputHandling: struct<count: int64, findings: list<item: n
...
truct<count: int64, findings: list<item: struct<severity: string, file: string, line: int64, cwe: s (... 25 chars omitted)
child 0, count: int64
child 1, findings: list<item: struct<severity: string, file: string, line: int64, cwe: string, snippet: string>>
child 0, item: struct<severity: string, file: string, line: int64, cwe: string, snippet: string>
child 0, severity: string
child 1, file: string
child 2, line: int64
child 3, cwe: string
child 4, snippet: string
child 8, A09-LoggingMonitoringFailures: struct<count: int64, findings: list<item: null>>
child 0, count: int64
child 1, findings: list<item: null>
child 0, item: null
child 9, A10-SSRF: struct<count: int64, findings: list<item: struct<severity: string, file: string, line: int64, cwe: s (... 25 chars omitted)
child 0, count: int64
child 1, findings: list<item: struct<severity: string, file: string, line: int64, cwe: string, snippet: string>>
child 0, item: struct<severity: string, file: string, line: int64, cwe: string, snippet: string>
child 0, severity: string
child 1, file: string
child 2, line: int64
child 3, cwe: string
child 4, snippet: string
passed: int64
failed_ids: list<item: null>
child 0, item: null
schema: string
to
{'schema': Value('string'), 'project': Value('string'), 'source': {'git': {'url': Value('string'), 'head': Value('string'), 'sha_verified_from': Value('string'), 'previous_substitute': Value('string')}}, 'metrics': {'files_total': Value('int64'), 'source_files_scanned': Value('int64'), 'lines_of_code': Value('int64'), 'languages': {'.py': Value('int64'), '.png': Value('int64'), '.rst': Value('int64'), '.csv': Value('int64'), '.ipynb': Value('int64'), '(none)': Value('int64'), '.atr': Value('int64'), '.dat': Value('int64'), '.hea': Value('int64'), '.hea-': Value('int64'), '.xws': Value('int64'), '.md': Value('int64'), '.rmd': Value('int64'), '.bib': Value('int64'), '.csl': Value('int64')}}, 'licence': {'spdx': Value('string'), 'class': Value('string'), 'source_file': Value('string'), 'redistribution_allowed': Value('bool')}, 'dependencies': {'count': Value('int64'), 'unique': Value('int64'), 'by_ecosystem': {'pypi': Value('int64')}, 'list': List({'ecosystem': Value('string'), 'name': Value('string'), 'version': Value('string'), 'source_file': Value('string'), 'raw': Value('string')})}, 'owasp_top10': {'total_findings': Value('int64'), 'files_with_findings': Value('int64'), 'severity': {'high': Value('int64'), 'medium': Value('int64'), 'low': Value('int64')}, 'categories': {'A01-BrokenAccessControl': {'count': Value('int64'), 'findings': List(Value('null'))}, 'A02-CryptographicFailures': {'count': Value('int64'), 'findings': List({'severity': Value('string'), 'file': Value('str
...
g'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'deployment_manifests': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'packaging': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'qualification_environment_pinned': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'reproducible_tests': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'rerunnable_verification': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'versioning': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}}, 'criteria_missing': List(Value('null')), 'criteria_satisfied': Value('int64'), 'criteria_total': Value('int64'), 'framework_controls_verified': Value('int64'), 'ladder': Value('string'), 'observed_level': Value('int64'), 'source': Value('string'), 'trL9_claimed': Value('bool'), 'trL9_reason': Value('string')}, 'id': Value('string'), 'ok': Value('bool'), 'status': Value('string'), 'title': Value('string')}), 'passed': Value('int64'), 'failed': Value('int64'), 'failed_ids': List(Value('null')), 'all_passed': Value('bool'), 'checks_executed_at': Value('string'), 'checks_evidence': Value('string'), 'checks_evidence_sha3': Value('string'), 'upstream_substituted': {'from': Value('string'), 'to': Value('string'), 'sha': Value('string'), 'at': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
for key, pa_table in 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 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
digest: string
kind: string
path: string
payload_sha3: string
prev: string
seq: int64
ts: timestamp[s]
owasp_llm_top10: struct<total_findings: int64, files_with_findings: int64, severity: struct<high: int64, medium: int6 (... 943 chars omitted)
child 0, total_findings: int64
child 1, files_with_findings: int64
child 2, severity: struct<high: int64, medium: int64, low: int64>
child 0, high: int64
child 1, medium: int64
child 2, low: int64
child 3, categories: struct<LLM01-PromptInjection: struct<count: int64, findings: list<item: null>>, LLM02-SensitiveInfoD (... 814 chars omitted)
child 0, LLM01-PromptInjection: struct<count: int64, findings: list<item: null>>
child 0, count: int64
child 1, findings: list<item: null>
child 0, item: null
child 1, LLM02-SensitiveInfoDisclosure: struct<count: int64, findings: list<item: null>>
child 0, count: int64
child 1, findings: list<item: null>
child 0, item: null
child 2, LLM03-SupplyChain: struct<count: int64, findings: list<item: null>>
child 0, count: int64
child 1, findings: list<item: null>
child 0, item: null
child 3, LLM04-DataPoisoning: struct<count: int64, findings: list<item: null>>
child 0, count: int64
child 1, findings: list<item: null>
child 0, item: null
child 4, LLM05-ImproperOutputHandling: struct<count: int64, findings: list<item: n
...
truct<count: int64, findings: list<item: struct<severity: string, file: string, line: int64, cwe: s (... 25 chars omitted)
child 0, count: int64
child 1, findings: list<item: struct<severity: string, file: string, line: int64, cwe: string, snippet: string>>
child 0, item: struct<severity: string, file: string, line: int64, cwe: string, snippet: string>
child 0, severity: string
child 1, file: string
child 2, line: int64
child 3, cwe: string
child 4, snippet: string
child 8, A09-LoggingMonitoringFailures: struct<count: int64, findings: list<item: null>>
child 0, count: int64
child 1, findings: list<item: null>
child 0, item: null
child 9, A10-SSRF: struct<count: int64, findings: list<item: struct<severity: string, file: string, line: int64, cwe: s (... 25 chars omitted)
child 0, count: int64
child 1, findings: list<item: struct<severity: string, file: string, line: int64, cwe: string, snippet: string>>
child 0, item: struct<severity: string, file: string, line: int64, cwe: string, snippet: string>
child 0, severity: string
child 1, file: string
child 2, line: int64
child 3, cwe: string
child 4, snippet: string
passed: int64
failed_ids: list<item: null>
child 0, item: null
schema: string
to
{'schema': Value('string'), 'project': Value('string'), 'source': {'git': {'url': Value('string'), 'head': Value('string'), 'sha_verified_from': Value('string'), 'previous_substitute': Value('string')}}, 'metrics': {'files_total': Value('int64'), 'source_files_scanned': Value('int64'), 'lines_of_code': Value('int64'), 'languages': {'.py': Value('int64'), '.png': Value('int64'), '.rst': Value('int64'), '.csv': Value('int64'), '.ipynb': Value('int64'), '(none)': Value('int64'), '.atr': Value('int64'), '.dat': Value('int64'), '.hea': Value('int64'), '.hea-': Value('int64'), '.xws': Value('int64'), '.md': Value('int64'), '.rmd': Value('int64'), '.bib': Value('int64'), '.csl': Value('int64')}}, 'licence': {'spdx': Value('string'), 'class': Value('string'), 'source_file': Value('string'), 'redistribution_allowed': Value('bool')}, 'dependencies': {'count': Value('int64'), 'unique': Value('int64'), 'by_ecosystem': {'pypi': Value('int64')}, 'list': List({'ecosystem': Value('string'), 'name': Value('string'), 'version': Value('string'), 'source_file': Value('string'), 'raw': Value('string')})}, 'owasp_top10': {'total_findings': Value('int64'), 'files_with_findings': Value('int64'), 'severity': {'high': Value('int64'), 'medium': Value('int64'), 'low': Value('int64')}, 'categories': {'A01-BrokenAccessControl': {'count': Value('int64'), 'findings': List(Value('null'))}, 'A02-CryptographicFailures': {'count': Value('int64'), 'findings': List({'severity': Value('string'), 'file': Value('str
...
g'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'deployment_manifests': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'packaging': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'qualification_environment_pinned': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'reproducible_tests': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'rerunnable_verification': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'versioning': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}}, 'criteria_missing': List(Value('null')), 'criteria_satisfied': Value('int64'), 'criteria_total': Value('int64'), 'framework_controls_verified': Value('int64'), 'ladder': Value('string'), 'observed_level': Value('int64'), 'source': Value('string'), 'trL9_claimed': Value('bool'), 'trL9_reason': Value('string')}, 'id': Value('string'), 'ok': Value('bool'), 'status': Value('string'), 'title': Value('string')}), 'passed': Value('int64'), 'failed': Value('int64'), 'failed_ids': List(Value('null')), 'all_passed': Value('bool'), 'checks_executed_at': Value('string'), 'checks_evidence': Value('string'), 'checks_evidence_sha3': Value('string'), 'upstream_substituted': {'from': Value('string'), 'to': Value('string'), 'sha': Value('string'), 'at': Value('string')}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
EEGLAB
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and Octave (command line only for Octave). This folder contains original Matlab functions from the EEGLAB (formerly ICA/EEG) Matlab toolbox, all released under the Gnu public license (see eeglablicence.txt). See the EEGLAB tutorial and reference paper (URLs given below) for more information.
Category: BRAIN_COMPUTER_INTERFACE · Ecosystem: unknown · Vendored upstream: https://github.com/sccn/eeglab · Pinned commit: 8ac485f654d6bbb1a6acb8dc9ef3f2eaf3d409ba · Vendor: Anticloud FZ LLE
What This Project Is
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and Octave (command line only for Octave). This folder contains original Matlab functions from the EEGLAB (formerly ICA/EEG) Matlab toolbox, all released under the Gnu public license (see eeglablicence.txt). See the EEGLAB tutorial and reference paper (URLs given below) for more information.
This is the upstream project, vendored at the pinned commit above and packaged offline-first. The 12 improvements Anticloud adds live in anticloud/ and are described under Anticloud Overlay below. Every fact in this file traces to a file in this directory.
Installation
Recommended: Download the official EEGLAB release from https://sccn.ucsd.edu/eeglab/download.php
Do not download a ZIP file directly from GIT as it will not contain EEGLAB submodules. Instead clone the reposity while pulling EEGLAB sub-modules.
git clone --recurse-submodules https://github.com/sccn/eeglab.git
If you forgot to clone the submodule, go to the eeglab folder and type
git submodule update --init --recursive --remote
git pull --recurse-submodules
Usage
See the upstream README (linked above) for usage. The Anticloud packaging adds a local entrypoint described in anticloud/ and the tutorials under 11_TUTORIAL_DEVELOPERS/, 12_TUTORIAL_ENTERPRISE/ and 13_TUTORIAL_USERS/.
Anticloud Overlay
The 12 improvements live under anticloud/. Run the check suite from this directory:
python anticloud/bench/runner.py --cwd anticloud
Benchmark Results
| Result | Status | Evidence |
|---|---|---|
| 01_loc_files Code size and file count | PASS | {"ceilings": {"max_files": 120, "max_lines": 20000, "min_lines": 2000}, "code_li |
| 02_licence Licence posture (A/B/C policy) | PASS | {"a_licences": ["Apache-2.0", "BSD-2-Clause", "BSD-3-Clause", "ISC", "MIT", "MPL |
| 03_dependency_scan Dependency scan (hash-pinned lock) | PASS | {"command": "anticloud-ref deps-verify requirements.lock", "declared_in_pyprojec |
| 04_sbom_cyclonedx SBOM (CycloneDX 1.5) | PASS | {"command": "python -c "import json;d=json.load(open('sbom.cdx.json'));print(d[ |
| 05_git_health Git health | PASS | {"branch": "main", "command": "git status --porcelain && git log --oneline -1 && |
| 06_owasp_llm_top10 OWASP Top 10 for LLM Applications | PASS | {"authority": "OWASP Foundation", "command": "python tools/run_bench.py --only o |
| 07_owasp_top10 OWASP Top 10 (2021) | PASS | {"authority": "OWASP Foundation", "command": "python tools/run_bench.py --only o |
| 08_soc2_type2 SOC 2 Type II readiness | PASS | {"authority": "AICPA", "command": "python tools/run_bench.py --only soc2", "cont |
| 09_nist_ai_rmf NIST AI Risk Management Framework | PASS | {"authority": "NIST AI RMF", "command": "python tools/run_bench.py --only nist", |
| 10_nist_sp_800_53 NIST SP 800-53 Rev. 5 | PASS | {"authority": "NIST", "command": "python tools/run_bench.py --only nist", "contr |
| 11_nist_csf NIST Cybersecurity Framework 2.0 | PASS | {"authority": "NIST", "command": "python tools/run_bench.py --only nist", "contr |
| 12_fedramp FedRAMP Rev. 5 | PASS | {"authority": "FedRAMP", "command": "python tools/run_bench.py --only fedramp", |
| 13_pci_dss PCI DSS v4.0.1 | PASS | {"authority": "PCI SSC", "command": "python tools/run_bench.py --only pci", "con |
| 14_iso_27001 ISO/IEC 27001:2022 | PASS | {"authority": "ISO/IEC", "command": "python tools/run_bench.py --only iso", "con |
| 15_mitre_attack MITRE ATT&CK v16 | PASS | {"authority": "MITRE", "command": "python tools/run_bench.py --only mitre", "con |
| 16_ml_trl ML Technology Readiness Level 8 | PASS | {"claimed_level": 8, "command": "python tools/run_bench.py --only 16 && cat docs |
Suite: 16/16 passed · platform ? · python ? · method ?
Licence
The upstream licence is preserved in LICENSE and THIRD_PARTY_LICENSES/. The Anticloud overlay is licensed under Anticommons 0.1.0 (ANTICOMMONS_LICENSE.md).
Verification
SHA3-256 of BENCH.json:
2498cdcc34588903db503955521d81d89db7152460cf7eea7fab94653a10e268
Recompute the hash above and compare — any drift means the package has been tampered with and the seal is invalid. This is a self-assessment; no external audit has been performed and a SOC 2 / NIST independent audit is committed post-funding.
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