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]
failed: int64
metrics: struct<files_total: int64, source_files_scanned: int64, lines_of_code: int64, languages: struct<.ts: (... 194 chars omitted)
child 0, files_total: int64
child 1, source_files_scanned: int64
child 2, lines_of_code: int64
child 3, languages: struct<.ts: int64, .json: int64, .png: int64, .scss: int64, .html: int64, .mjs: int64, .md: int64, . (... 104 chars omitted)
child 0, .ts: int64
child 1, .json: int64
child 2, .png: int64
child 3, .scss: int64
child 4, .html: int64
child 5, .mjs: int64
child 6, .md: int64
child 7, .astro: int64
child 8, .mdx: int64
child 9, .webp: int64
child 10, .cjs: int64
child 11, (none): int64
child 12, .jpg: int64
child 13, .js: int64
child 14, .h: int64
owasp_llm_top10: struct<total_findings: int64, files_with_findings: int64, severity: struct<high: int64, medium: int6 (... 1251 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: struct<severity: string, fil (... 1122 chars omitted)
child 0, LLM01-PromptInjection: struct<count: int64, findings: list<i
...
5, components: list<item: struct<type: string, name: string, version: string, purl: string, bom-ref: string>>
child 0, item: struct<type: string, name: string, version: string, purl: string, bom-ref: string>
child 0, type: string
child 1, name: string
child 2, version: string
child 3, purl: string
child 4, bom-ref: 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
passed: int64
elapsed_seconds: double
checks_evidence: string
dependencies: struct<count: int64, unique: int64, by_ecosystem: struct<npm: int64>, list: list<item: struct<ecosys (... 79 chars omitted)
child 0, count: int64
child 1, unique: int64
child 2, by_ecosystem: struct<npm: int64>
child 0, npm: int64
child 3, list: list<item: struct<ecosystem: string, name: string, version: string, source_file: string, raw: string (... 2 chars omitted)
child 0, item: struct<ecosystem: string, name: string, version: string, source_file: string, raw: string>
child 0, ecosystem: string
child 1, name: string
child 2, version: string
child 3, source_file: string
child 4, raw: 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': {'.ts': Value('int64'), '.json': Value('int64'), '.png': Value('int64'), '.scss': Value('int64'), '.html': Value('int64'), '.mjs': Value('int64'), '.md': Value('int64'), '.astro': Value('int64'), '.mdx': Value('int64'), '.webp': Value('int64'), '.cjs': Value('int64'), '(none)': Value('int64'), '.jpg': Value('int64'), '.js': Value('int64'), '.h': 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({'severity': Value('string'), 'file': Value('string'), 'line': Value('int64'), 'cwe': Value('string'), 'snippet': Value('string')})}, 'A02
...
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]
failed: int64
metrics: struct<files_total: int64, source_files_scanned: int64, lines_of_code: int64, languages: struct<.ts: (... 194 chars omitted)
child 0, files_total: int64
child 1, source_files_scanned: int64
child 2, lines_of_code: int64
child 3, languages: struct<.ts: int64, .json: int64, .png: int64, .scss: int64, .html: int64, .mjs: int64, .md: int64, . (... 104 chars omitted)
child 0, .ts: int64
child 1, .json: int64
child 2, .png: int64
child 3, .scss: int64
child 4, .html: int64
child 5, .mjs: int64
child 6, .md: int64
child 7, .astro: int64
child 8, .mdx: int64
child 9, .webp: int64
child 10, .cjs: int64
child 11, (none): int64
child 12, .jpg: int64
child 13, .js: int64
child 14, .h: int64
owasp_llm_top10: struct<total_findings: int64, files_with_findings: int64, severity: struct<high: int64, medium: int6 (... 1251 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: struct<severity: string, fil (... 1122 chars omitted)
child 0, LLM01-PromptInjection: struct<count: int64, findings: list<i
...
5, components: list<item: struct<type: string, name: string, version: string, purl: string, bom-ref: string>>
child 0, item: struct<type: string, name: string, version: string, purl: string, bom-ref: string>
child 0, type: string
child 1, name: string
child 2, version: string
child 3, purl: string
child 4, bom-ref: 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
passed: int64
elapsed_seconds: double
checks_evidence: string
dependencies: struct<count: int64, unique: int64, by_ecosystem: struct<npm: int64>, list: list<item: struct<ecosys (... 79 chars omitted)
child 0, count: int64
child 1, unique: int64
child 2, by_ecosystem: struct<npm: int64>
child 0, npm: int64
child 3, list: list<item: struct<ecosystem: string, name: string, version: string, source_file: string, raw: string (... 2 chars omitted)
child 0, item: struct<ecosystem: string, name: string, version: string, source_file: string, raw: string>
child 0, ecosystem: string
child 1, name: string
child 2, version: string
child 3, source_file: string
child 4, raw: 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': {'.ts': Value('int64'), '.json': Value('int64'), '.png': Value('int64'), '.scss': Value('int64'), '.html': Value('int64'), '.mjs': Value('int64'), '.md': Value('int64'), '.astro': Value('int64'), '.mdx': Value('int64'), '.webp': Value('int64'), '.cjs': Value('int64'), '(none)': Value('int64'), '.jpg': Value('int64'), '.js': Value('int64'), '.h': 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({'severity': Value('string'), 'file': Value('string'), 'line': Value('int64'), 'cwe': Value('string'), 'snippet': Value('string')})}, 'A02
...
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.
PVR_IPTV
IPTV Live TV and Radio PVR client addon for Kodi with support for both Gzip and XZ compression of XMLTV. Multiple pairs of M3U/XML files are supported via Kodi PVR since Kodi 20 (Nexus). Supports catchup/archive streams if supported by the IPTV provider as well as streams from Kodi video add-ons.
Category: CONSUMER_ELECTRONICS · Ecosystem: unknown · Vendored upstream: https://github.com/kodi-pvr/pvr.iptvsimple · Pinned commit: 6d334f6dfa16bbb4c0209ee50bb70f16bccb13bf · Vendor: Anticloud FZ LLE
What This Project Is
IPTV Live TV and Radio PVR client addon for Kodi with support for both Gzip and XZ compression of XMLTV. Multiple pairs of M3U/XML files are supported via Kodi PVR since Kodi 20 (Nexus). Supports catchup/archive streams if supported by the IPTV provider as well as streams from Kodi video add-ons.
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
Users can create there own genre mapping files to map their genre strings to genre IDs. This allows the EPG UI to be colour coded per genre.
Kodi uses the following standard for its genre IDs: https://www.etsi.org/deliver/etsi_en/300400_300499/300468/01.11.01_60/en_300468v011101p.pdf
By default the addon will try to load a file called genres.xml and expect it to be here: userdata/addon_data/pvr.iptvsimple/genres/genreTextMappings/. However any genres file can be chosen in the addon settings.
The following files are currently available with the addon (this file uses hexadeciaml genreId attributes):
- Rytec-UK-Ireland.xml
The file can specify either a hexadecimal genreId attribute (recommended) or separate integer values for type and subType. Mathematically genreId is equals to the logical OR or type and subType, i.e. genreId = type | subType.
Note: Once mapped to genre IDs the text displayed can either be the DVB standard text or the genre string text supplied in the XML. If using the text supplied in the XML only the genre type will be passed and each value will correspond to a category and colour (depedning on skin) on the UI. Here are the categories (all examples have 0 for the sub type). It's important you map correctly as genres can be used for search.
- 0x10: General Movie / Drama
- 0x20: News / Current Affairs
- 0x30: Show / Game Show
- 0x40: Sports
- 0x50: Children's / Youth Programmes
- 0x60: Music / Ballet / Dance
- 0x70: Arts / Culture
- 0x80: Social / Political / Economics
- 0x90: Education / Science / Factual
- 0xA0: Leisure / Hobbies
- 0xB0: Special Characteristics
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:
164938ae05f1af541df1168ed697a523d978d1c2b1200ddc90018dbdb09ebbb1
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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