The dataset viewer is not available for this split.
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]
all_passed: bool
python: string
sbom_written: bool
failed: int64
platform: string
failed_ids: list<item: null>
child 0, item: null
passed: int64
total: int64
method: struct<aggregate_rule: string, excluded: string, reproduce: string, thresholds_note: string>
child 0, aggregate_rule: string
child 1, excluded: string
child 2, reproduce: string
child 3, thresholds_note: string
source: struct<git: struct<url: string, head: string, sha_verified_from: string, previous_substitute: string (... 2 chars omitted)
child 0, git: struct<url: string, head: string, sha_verified_from: string, previous_substitute: string>
child 0, url: string
child 1, head: string
child 2, sha_verified_from: string
child 3, previous_substitute: string
root: string
version: string
benchmarks: list<item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: i (... 3044 chars omitted)
child 0, item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code (... 3032 chars omitted)
child 0, evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code_lines: int64, co (... 2961 chars omitted)
child 0, ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>
child 0, max_files: int64
child 1, max_lines: int64
...
child 4, qualification_environment_pinned: struct<detail: string, evidence_path: string, present: bool>
child 0, detail: string
child 1, evidence_path: string
child 2, present: bool
child 5, reproducible_tests: struct<detail: string, evidence_path: string, present: bool>
child 0, detail: string
child 1, evidence_path: string
child 2, present: bool
child 6, rerunnable_verification: struct<detail: string, evidence_path: string, present: bool>
child 0, detail: string
child 1, evidence_path: string
child 2, present: bool
child 7, versioning: struct<detail: string, evidence_path: string, present: bool>
child 0, detail: string
child 1, evidence_path: string
child 2, present: bool
child 62, criteria_missing: list<item: null>
child 0, item: null
child 63, criteria_satisfied: int64
child 64, criteria_total: int64
child 65, framework_controls_verified: int64
child 66, ladder: string
child 67, observed_level: int64
child 68, source: string
child 69, trL9_claimed: bool
child 70, trL9_reason: string
child 1, id: string
child 2, ok: bool
child 3, status: string
child 4, title: string
schema: string
to
{'all_passed': Value('bool'), 'benchmarks': List({'evidence': {'ceilings': {'max_files': Value('int64'), 'max_lines': Value('int64'), 'min_lines': Value('int64')}, 'code_lines': Value('int64'), 'command': Value('string'), 'counts_command': Value('string'), 'files_source': Value('int64'), 'files_tests': Value('int64'), 'files_total': Value('int64'), 'method': Value('string'), 'test_to_source_line_ratio': Value('float64'), 'total_lines': Value('int64'), 'a_licences': List(Value('string')), 'b_licences': List(Value('string')), 'default_for_unknown_is_C': Value('bool'), 'mismatches': {}, 'observed': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'only_class_A_may_relicense': Value('bool'), 'policy_probes': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'project_licence': {'LICENSE': 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')}), 'failed': Value('int64'), 'failed_ids': List(Value('null')), 'method': {'aggregate_rule': Value('string'), 'excluded': Value('string'), 'reproduce': Value('string'), 'thresholds_note': Value('string')}, 'passed': Value('int64'), 'platform': Value('string'), 'python': Value('string'), 'root': Value('string'), 'sbom_written': Value('bool'), 'schema': Value('string'), 'total': Value('int64'), 'version': Value('string'), 'source': {'git': {'url': Value('string'), 'head': Value('string'), 'sha_verified_from': Value('string'), 'previous_substitute': 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]
all_passed: bool
python: string
sbom_written: bool
failed: int64
platform: string
failed_ids: list<item: null>
child 0, item: null
passed: int64
total: int64
method: struct<aggregate_rule: string, excluded: string, reproduce: string, thresholds_note: string>
child 0, aggregate_rule: string
child 1, excluded: string
child 2, reproduce: string
child 3, thresholds_note: string
source: struct<git: struct<url: string, head: string, sha_verified_from: string, previous_substitute: string (... 2 chars omitted)
child 0, git: struct<url: string, head: string, sha_verified_from: string, previous_substitute: string>
child 0, url: string
child 1, head: string
child 2, sha_verified_from: string
child 3, previous_substitute: string
root: string
version: string
benchmarks: list<item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: i (... 3044 chars omitted)
child 0, item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code (... 3032 chars omitted)
child 0, evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code_lines: int64, co (... 2961 chars omitted)
child 0, ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>
child 0, max_files: int64
child 1, max_lines: int64
...
child 4, qualification_environment_pinned: struct<detail: string, evidence_path: string, present: bool>
child 0, detail: string
child 1, evidence_path: string
child 2, present: bool
child 5, reproducible_tests: struct<detail: string, evidence_path: string, present: bool>
child 0, detail: string
child 1, evidence_path: string
child 2, present: bool
child 6, rerunnable_verification: struct<detail: string, evidence_path: string, present: bool>
child 0, detail: string
child 1, evidence_path: string
child 2, present: bool
child 7, versioning: struct<detail: string, evidence_path: string, present: bool>
child 0, detail: string
child 1, evidence_path: string
child 2, present: bool
child 62, criteria_missing: list<item: null>
child 0, item: null
child 63, criteria_satisfied: int64
child 64, criteria_total: int64
child 65, framework_controls_verified: int64
child 66, ladder: string
child 67, observed_level: int64
child 68, source: string
child 69, trL9_claimed: bool
child 70, trL9_reason: string
child 1, id: string
child 2, ok: bool
child 3, status: string
child 4, title: string
schema: string
to
{'all_passed': Value('bool'), 'benchmarks': List({'evidence': {'ceilings': {'max_files': Value('int64'), 'max_lines': Value('int64'), 'min_lines': Value('int64')}, 'code_lines': Value('int64'), 'command': Value('string'), 'counts_command': Value('string'), 'files_source': Value('int64'), 'files_tests': Value('int64'), 'files_total': Value('int64'), 'method': Value('string'), 'test_to_source_line_ratio': Value('float64'), 'total_lines': Value('int64'), 'a_licences': List(Value('string')), 'b_licences': List(Value('string')), 'default_for_unknown_is_C': Value('bool'), 'mismatches': {}, 'observed': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'only_class_A_may_relicense': Value('bool'), 'policy_probes': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'project_licence': {'LICENSE': 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')}), 'failed': Value('int64'), 'failed_ids': List(Value('null')), 'method': {'aggregate_rule': Value('string'), 'excluded': Value('string'), 'reproduce': Value('string'), 'thresholds_note': Value('string')}, 'passed': Value('int64'), 'platform': Value('string'), 'python': Value('string'), 'root': Value('string'), 'sbom_written': Value('bool'), 'schema': Value('string'), 'total': Value('int64'), 'version': Value('string'), 'source': {'git': {'url': Value('string'), 'head': Value('string'), 'sha_verified_from': Value('string'), 'previous_substitute': 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.
HI
Documentation • Integrations • Cookbook • Benchmarks • Paper • Hindsight Cloud
Category: MEDICAL_HEALTH · Ecosystem: unknown · Vendored upstream: https://github.com/vectorize-io/hindsight · Pinned commit: 01e2878f44f41ff4ef0ab58a262c28dc90bae54f · Vendor: Anticloud FZ LLE
Note: this package vendors
https://github.com/vectorize-io/hindsightas the implementation for theHIslot. The vendored repository name differs from the package name; the pin above is the exact commit vendored here.
What This Project Is
Documentation • Integrations • Cookbook • Benchmarks • Paper • Hindsight Cloud
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 win32 · python 3.12.10 · method {'aggregate_rule': 'all_passed == AND over benchmarks[*].ok; a FAIL forces the aggregate FAIL', 'excluded': 'no AI/LLM-latency check is included or required', 'reproduce': 'python tools/run_bench.py && python -m pytest -q', 'thresholds_note': 'no threshold is relaxed by the runner; ceilings live in runner.py and are asserted independently in tests/test_project_metadata.py'}
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:
cc0f0e8bee428a184987decb49e8bb026ce369001241581ee45f8d90f7249512
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.
- Downloads last month
- 84