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 (... 789 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 (... 660 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
...
grity: 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
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
checks_executed_at: string
checks_evidence_sha3: string
project: 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': {'.md': Value('int64'), '.html': Value('int64'), '.ts': Value('int64'), '.json': Value('int64'), '.mjs': Value('int64'), '.cjs': Value('int64'), '.jpg': Value('int64'), '.png': Value('int64'), '.gif': Value('int64'), '.js': Value('int64'), '.mp3': Value('int64'), '(none)': Value('int64'), '.css': Value('int64'), '.scss': Value('int64'), '.mp4': 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': {'npm': 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('strin
...
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 (... 789 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 (... 660 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
...
grity: 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
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
checks_executed_at: string
checks_evidence_sha3: string
project: 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': {'.md': Value('int64'), '.html': Value('int64'), '.ts': Value('int64'), '.json': Value('int64'), '.mjs': Value('int64'), '.cjs': Value('int64'), '.jpg': Value('int64'), '.png': Value('int64'), '.gif': Value('int64'), '.js': Value('int64'), '.mp3': Value('int64'), '(none)': Value('int64'), '.css': Value('int64'), '.scss': Value('int64'), '.mp4': 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': {'npm': 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('strin
...
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.
PSYCHOPY
PsychoPy is an open-source package for creating experiments in behavioral science. It aims to provide a single package that is:
Category: PSYCHOLOGY · Ecosystem: unknown · Vendored upstream: https://github.com/psychopy/psychopy · Pinned commit: 0b90b274f539133b852b2a610cbacad612299438 · Vendor: Anticloud FZ LLE
What This Project Is
PsychoPy is an open-source package for creating experiments in behavioral science. It aims to provide a single package that is:
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
# See the upstream README (linked above) for build steps.
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:
da3d35448e6e320e64f58cf9280e5237309b6659a632515f0b9237f86076c228
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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