Hugging Face's logo

Datasets:
Anticloud
/
anticloud-spree

Dataset card Files
xet
 Community
Dataset Viewer
Duplicate
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]
python: string
sbom_written: bool
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 2, min_lines: int64
          child 1, code_lines: int64
          child 2, command: string
          child 3, counts_command: string
          child 4, files_source: int64
          child 5, files_tests: int64
          child 6, files_total: int64
          child 7, method: string
          child 8, test_to_source_line_ratio: double
          child 9, total_lines: int64
          child 10, a_licences: list<item: string>
              child 0, item: string
          child 11, b_licences: list<item: string>
              child 0, item: string
          child 12, default_for_unknown_is_C: bool
          child 13, mismatches: struct<>
          child 14, observed: struct<agpl3: string, apache2: string, bsd3: string, commons_clause: st
...
    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
failed_ids: list<item: null>
  child 0, item: null
version: string
source: struct<git: struct<head: string, url: string, branch: string, sha_verified_from: string>>
  child 0, git: struct<head: string, url: string, branch: string, sha_verified_from: string>
      child 0, head: string
      child 1, url: string
      child 2, branch: string
      child 3, sha_verified_from: string
all_passed: bool
passed: int64
platform: string
failed: 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
total: int64
root: 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'), '
...
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': {'head': Value('string'), 'url': Value('string'), 'branch': Value('string'), 'sha_verified_from': 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]
              python: string
              sbom_written: bool
              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 2, min_lines: int64
                        child 1, code_lines: int64
                        child 2, command: string
                        child 3, counts_command: string
                        child 4, files_source: int64
                        child 5, files_tests: int64
                        child 6, files_total: int64
                        child 7, method: string
                        child 8, test_to_source_line_ratio: double
                        child 9, total_lines: int64
                        child 10, a_licences: list<item: string>
                            child 0, item: string
                        child 11, b_licences: list<item: string>
                            child 0, item: string
                        child 12, default_for_unknown_is_C: bool
                        child 13, mismatches: struct<>
                        child 14, observed: struct<agpl3: string, apache2: string, bsd3: string, commons_clause: st
              ...
                  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
              failed_ids: list<item: null>
                child 0, item: null
              version: string
              source: struct<git: struct<head: string, url: string, branch: string, sha_verified_from: string>>
                child 0, git: struct<head: string, url: string, branch: string, sha_verified_from: string>
                    child 0, head: string
                    child 1, url: string
                    child 2, branch: string
                    child 3, sha_verified_from: string
              all_passed: bool
              passed: int64
              platform: string
              failed: 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
              total: int64
              root: 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'), '
              ...
              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': {'head': Value('string'), 'url': Value('string'), 'branch': Value('string'), 'sha_verified_from': Value('string')}}}
              because column names don't match

Need 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.

SPREE

license offline-first audit category

Anticloud-hardened packaging of the upstream project SPREE in category ONLINE RETAIL. Upstream source is vendored in UPSTREAM_CLONE/ at the pinned commit below; the 12-improvement overlay lives in anticloud/. Every fact in this file traces to a file on disk in this project directory.

Category: ONLINE RETAIL · Upstream: https://github.com/spree/spree · Upstream pin: 4ca24b80ddff9b85aa0502757275f2b526a95268 · Vendor: Anticloud FZ LLE

What This Project Does

Spree Commerce open source headless eCommerce platform for B2B, Multi-seller Marketplace, cross-border eCommerce, multi-tenant eCommerce

Website · Next.js Storefront · Documentation · API · Roadmap · Discord

Gem Total Downloads codecov License

Build commerce the way you want it. Spree is an open-source commerce platform with a complete REST API, TypeScript SDKs, a React admin dashboard, and a production-ready Next.js storefront. BSD 3-Clause licensed — keep full ownership of your code, data, and infrastructure.

Teams use Spree to build multi-vendor marketplaces and B2B and wholesale channels, as well as headless DTC, cross-border and omnichannel selling — all from one set of commerce primitives, and all alongside the ERP, PIM, and payment systems you already run.

Use Cases

Spree ships commerce primitives, so the same core serves very different businesses.

Multi-vendor Marketplace

Seller onboarding with configurable requirement checklists, orders split per seller at completion, a flexible commission engine, a payout ledger with Stripe Connect, and a dedicated Seller Panel. All in the open-source core.

Spree Commerce - Multi-vendor Marketplace eCommerce

B2B & Wholesale

Price lists with volume tiers, customer groups, companies with locations, contacts and tax exemptions, catalogs for per-segment assortments, and storefronts gated to approved buyers.

Spree Commerce - Wholesale eCommerce Platform

Headless & Omnichannel

Run web storefronts, mobile apps, points of sale, B2B panels and marketplaces off one backend. Channels give each surface its own catalog, pricing, payment methods and order attribution.

The Next.js storefront is one such surface — production-ready, open source, built with Next.js 16, React 19 and TypeScript. Fork it, customize it, deploy it. Try the live demo

Spree Commerce - Next.js Storefront - Home Spree Commerce - Next.js Storefront - Product Spree Commerce - Next.js Storefront - Lighthouse

Cross-border Commerce

Markets bundle currency, language, payment methods and shipping per region, so each customer sees a localized storefront from a single platform. Translations for product content, EU Omnibus price history and customs duties are built in.

Spree Commerce - Cross-border eCommerce

Multi-tenant SaaS

Run a SaaS platform where each tenant gets its own isolated store — catalog, orders, customers, payment methods and branding — with staff able to manage several tenants. Requires the Enterprise Edition.

Getting Started

Copy and paste the following command to your terminal to set up Spree locally in 5 minutes:

npx create-spree-app@latest my-store

This sets up the Spree backend, the React Admin Dashboard, and optionally the Next.js storefront in a single project. The storefront is built with Next.js 16, React 19, Tailwind CSS 4, and TypeScript.

You need Node.js 24+ installed and Docker running. Learn more in the installation docs.

If you like what you see, consider giving Spree a GitHub star ⭐

Thank you for supporting Spree open-source ❤️

Agentic Development

Building with an AI coding agent? Install the [Sp

(excerpt; full text in UPSTREAM_CLONE/)

Quoted from the upstream README.md file in UPSTREAM_CLONE/. Project-specific facts detected in this directory:

  • Ecosystem: Node.js / npm (manifests: package.json, pnpm-lock.yaml; scanned in UPSTREAM_CLONE)
  • Top-level source layout: packages/, scripts/, spree/
  • Snapshot size: 7569 files, 570101 lines of code (measured; see Benchmarks)
  • Primary languages: .rb (3420), .ts (1675), .png (641), .mdx (580), .tsx (576), .md (150)
  • Upstream commit pinned for this packaging: 4ca24b80ddff9b85aa0502757275f2b526a95268

Installation

Teams use Spree to build multi-vendor marketplaces and B2B and wholesale channels, as well as headless DTC, cross-border and omnichannel selling — all from one set of commerce primitives, and all alongside the ERP, PIM, and payment systems you already run.

Section quoted from the upstream readme. Overlay install (this project):

python -m pip install -e anticloud/     # overlay package with the 12 improvements
python anticloud/cli.py --help          # 13 subcommands, JSON stdout

Usage

Teams use Spree to build multi-vendor marketplaces and B2B and wholesale channels, as well as headless DTC, cross-border and omnichannel selling — all from one set of commerce primitives, and all alongside the ERP, PIM, and payment systems you already run.

Section quoted from the upstream readme. Anticloud overlay CLI (available in every project):

python anticloud/cli.py --help     # 13 subcommands, JSON stdout
python anticloud/cli.py checks     # run the 16-check suite

API

· API · Roadmap · Discord

Gem Total Downloads codecov License

Build commerce the way you want it. Spree is an open-source commerce platform with a complete REST API, TypeScript SDKs, a React admin dashboard, and a production-ready Next.js storefront. BSD 3-Clause licensed — keep full ownership of your code, data, and infrastructure.

Teams use Spree to build multi-vendor marketplaces and B2B and wholesale channels, as well as headless DTC, cross-border and omnichannel selling — all from one set of commerce primitives, and all alongside the ERP, PIM, and payment systems you already run.

Section quoted from the upstream readme.

Dependencies

Metric Value
Ecosystem Node.js / npm
Manifests detected package.json, pnpm-lock.yaml
Files in snapshot 7569
Lines of code 570101
Dependency references 277
Dependencies by ecosystem npm: 277
Upstream license BSD-3-Clause
Overlay license Anticommons 0.1.0

Top dependency references recorded in the benchmark snapshot:

Ecosystem Name Version Source file
npm @base-ui/react 1.8.0 package.json
npm @spree/cli workspace:* package.json
npm @biomejs/biome ^2.4.14 package.json
npm turbo ^2.9.14 package.json
npm @changesets/cli ^2.31.0 package.json
npm @changesets/changelog-github ^0.7.0 package.json
npm @spree/sdk-core workspace:* packages/seller-sdk/package.json
npm @types/node ^25.6.0 packages/seller-sdk/package.json
npm @vitest/coverage-v8 ^4.1.5 packages/seller-sdk/package.json
npm msw ^2.14.3 packages/seller-sdk/package.json
npm tsup ^8.0.0 packages/seller-sdk/package.json
npm tsx ^4.0.0 packages/seller-sdk/package.json
npm typescript ^6.0.3 packages/seller-sdk/package.json
npm vitest ^4.1.5 packages/seller-sdk/package.json
npm yaml ^2.8.4 packages/seller-sdk/package.json
... (262 more)

Pinned lockfile: anticloud/requirements.lock (hash-pinned, PEP 508). SBOM: sbom.cdx.json (CycloneDX 1.5, pinned to the upstream SHA).

Configuration

Spree Commerce - Multi-vendor Marketplace eCommerce

Section quoted from the upstream readme. Overlay configuration (Anticloud):

  • anticloud/ - improvement overlay; environment-driven, no cloud dependency
  • LEDGERS/ - aioss tamper-evident chain files (per-project, verified with aioss verify --live)
  • ISOLATED_LAB_RESULTS/ - reproducibility record (environment, reproduction steps, result register, evidence)
  • OFFICIAL_BENCHMARKS/ - 26 framework assessments for this project

Contributing

Excerpt from upstream .github/CONTRIBUTING.md:

Contributing

Thank you for your interest in contributing to Spree! This guide will help you get started.

Please read our Code of Conduct before contributing.

Getting Started

Cloning the project

Spree is a big monorepo. For a faster source, use a partial source which downloads file contents on demand while keeping full commit history for git log and git blame:

git source --filter=blob:none https://github.com/spree/spree.git

Prerequisites

pnpm is provisioned automatically via Corepack (bundled with Node) — the project pins its version in package.json, and the first pnpm command will fetch the matching release. If Corepack is disabled in your environment, run corepack enable once.

Spree codebase

Spree is a monorepo with three main

Overlay contributions: run the 16-check suite before opening a pull request:

python anticloud/bench/runner.py --cwd anticloud

License

Upstream license: BSD-3-Clause (evidence: LICENSE in the upstream snapshot).

License file excerpt:

BSD 3-Clause License

Copyright (c) 2024-present, Vendo Sp. z o.o., Vendo Connect Inc.
Copyright (c) 2015-2024, Spark Solutions Sp. z o.o.
Copyright (c) 2007-2015, Spree Commerce Inc.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice,
   this list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice,
   this list of conditions and the following disclaimer in the documentation
   and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its
   contributors may be used to endorse or promote products derived from
   this software without specific prior written permission.

Anticommons 0.1.0 overlay

The Anticloud integration overlay in anticloud/ - improvements 1 through 12 listed under Benchmarks - is licensed under Anticommons 0.1.0. Upstream code remains under its original BSD-3-Clause terms. See ANTICOMMONS_LICENSE.md in this directory for the overlay terms and contact.

SPDX: BSD-3-Clause (upstream) + Anticommons 0.1.0 (overlay, dual).

Upstream

  • Project: SPREE (category: ONLINE RETAIL)
  • Upstream URL: https://github.com/spree/spree
  • Pinned commit (SHA): 4ca24b80ddff9b85aa0502757275f2b526a95268
  • Branch: main
  • Pin provenance: GitHub API commits/main. The parent-project stamp is explicitly rejected for this project.
  • Snapshot location: UPSTREAM_CLONE/ (vendored, not shipped as-is)
  • Benchmark snapshot: BENCH.json

Benchmarks

Measured by the Anticloud assurance suite. Every value below is read from this project's BENCH.json, produced by a real run — the SHA3-256 of that file is 98e9eb8b578bb5e29b4cd849a605f41d89e296c64db710c64c1a26dd10812b01.

Framework Controls Evidence Coverage Result
OWASP Top 10 for LLM Applications 10 controls mapped 10 with evidence 100.0% PASS
OWASP Top 10 (2021) 9 controls mapped 9 with evidence 100.0% PASS
SOC 2 Type II readiness 9 controls mapped 9 with evidence 100.0% PASS
NIST AI Risk Management Framework 8 controls mapped 8 with evidence 100.0% PASS
NIST SP 800-53 Rev. 5 12 controls mapped 12 with evidence 100.0% PASS
NIST Cybersecurity Framework 2.0 8 controls mapped 8 with evidence 100.0% PASS
FedRAMP Rev. 5 10 controls mapped 10 with evidence 100.0% PASS
PCI DSS v4.0.1 11 controls mapped 11 with evidence 100.0% PASS
ISO/IEC 27001:2022 9 controls mapped 9 with evidence 100.0% PASS
MITRE ATT&CK v16 12 controls mapped 12 with evidence 100.0% PASS
ML Technology Readiness Level TRL 8 8/8 criteria PASS

Overall: 16/16 checks passing.

See ISOLATED_LAB_RESULTS/03_Result_Register.md for the 16-check register with pass condition, command and observed value per check.

Framework folders in OFFICIAL_BENCHMARKS/ state the control set and the evidence source bound to each control. This project does not claim an audit opinion, a SOC report, a FedRAMP authorisation or a PCI attestation — those are issued by an independent assessor.

Archives and Permanent Records

Platform Identifier Volume
Harvard Dataverse DOI 10.7910/DVN/YMJKOG 145 citable datasets
AIOSS verification kit DOI 10.7910/DVN/OORKNJ Offline hash verification
Zenodo (CERN) — 146 records, DOI-registered
OSF — 144 preregistered records
Figshare author 20849885 Research data and figures
Internet Archive aioss-format, Anticode Permanent binary specification
ORCID 0009-0009-2233-6107 Permanent researcher ID
Kaggle pax-millennium-20 Reproducible T4 benchmark run

Press and Independent Publication

The PAX benchmark release was distributed by Newsfile wire to 336 outlets (312 Web, 23 Terminal, 1 Application), including Yahoo Finance, The Globe and Mail, Business Insider, National Post, Financial Post, StreetInsider, Digital Journal, Barchart, International Business Times, and fox47 · National Law Review. Wire distribution makes the announcement dated, public, and indexed, which makes the claim checkable.
Downloads last month
55
Total file size:
62.5 kB