openpay/
compliance/ PCI-DSS readiness package (scope-map,
pci-zero-architecture, hsm-kms-guidance,
qsa-checklist), citing PCI-DSS v4.0.1
requirements. (#1)
examples/pci-zero/ Runnable example demonstrating a deployment
where merchant code never touches a PAN. (#1)
crates/op-core/ Tokenized<Card> typestate + NetworkToken
+ CardNetwork + Cryptogram. (#2)
crates/op-rails-card/network_token/
NetworkTokenProvider trait + VTS adapter
+ MDES adapter, with deterministic stubs
behind a 'live' feature flag. (#2)
crates/op-driver-sdk/conformance/network_token.rs
Conformance harness for third-party
NetworkTokenProvider implementations. (#2)
crates/op-cli/src/ledger/ 'openpay ledger as-of' subcommand for
bi-temporal queries. (#3)
crates/op-orchestrator/src/telemetry.rs
OpenTelemetry span emission per
Payment<S> transition with semantic-
conventions tags. (#3)
docs/observability/ Grafana dashboard JSON + wiring guide
for the bi-temporal ledger lens. (#3)
smart-byte/
smart-byte-rs/ Rust reference implementation: envelope
encode/decode (canonical CBOR + BLAKE3
content addressing), Ed25519 sign +
verify, lockstep BFT commit MVP, Iroh
transport scaffold, CLI. (#4)
spec/identity_and_key_rotation.md
Adopts KERI SAIDs + key-event log
format; explicitly does not adopt ACDC
chaining wholesale. (#5)
conformance/v1/ 21 test vectors covering canonicalisation,
SAID computation, signature verification,
lockstep commit, gossip propagation.
CI gate enforces spec/vector coupling. (#6)
eoc/
eoc-rs/ Rust + WASM reference implementation:
4-stage cascade (cache -> kv -> graph ->
neural), joule counters via RAPL / NVML /
powermetrics, CLI, wasm-bindgen surface.
18 tests pass. (#7)
eoc-bench/ Benchmark harness, MT-Bench and Router
case sets, 'joules per MT-Bench point'
metric, 'eoc-bench run | compare' CLI. (#8)
standards/sci-for-ai-submission.md
Submission proposal mapping EOC's
receipt schema to GSF SCI-for-AI. (#9)
cookbook/ HuggingFace-style cookbook (markdown +
runnable Python) demonstrating EOC's
cascade with HF AI Energy Score. (#9)
docs/bench-v0.md Reproducibility doc for eoc-bench.
Workspace state:
- openpay clippy -- -D warnings: clean across all touched crates
- smart-byte-rs cargo test --workspace + clippy: clean
- eoc-rs cargo test --workspace + clippy: clean (18 tests)
- eoc-bench cargo check --workspace + clippy + 15 tests: clean
Rust 1.95.0 edition 2024 pinned at the open-standards root via
rust-toolchain.toml; every workspace inherits.
Closes #1 #2 #3 #4 #5 #6 #7 #8 #9.
122 lines
3.2 KiB
JSON
122 lines
3.2 KiB
JSON
[
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{
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"id": "mt-arith-01",
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"prompt": "What is 2+2?",
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"expected": "4",
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"dataset": "mt"
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},
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{
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"id": "mt-arith-02",
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"prompt": "Compute 17 times 23 and show the result.",
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"expected": "391",
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"dataset": "mt"
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},
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{
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"id": "mt-arith-03",
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"prompt": "If a train leaves at 09:15 and arrives 2 hours 50 minutes later, what time does it arrive?",
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"expected": "12:05",
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"dataset": "mt"
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},
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{
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"id": "mt-reason-01",
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"prompt": "Alice is taller than Bob. Bob is taller than Carol. Who is the shortest of the three?",
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"expected": "Carol",
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"dataset": "mt"
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},
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{
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"id": "mt-reason-02",
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"prompt": "A bat and a ball cost $1.10 in total. The bat costs $1.00 more than the ball. How much does the ball cost?",
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"expected": "5 cents",
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"dataset": "mt"
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},
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{
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"id": "mt-multi-01",
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"prompt": "I have a meeting at 3pm tomorrow.\nFollow-up: What is the local time three hours before that meeting?",
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"expected": "12pm",
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"dataset": "mt"
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},
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{
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"id": "mt-multi-02",
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"prompt": "Pick a fruit and a colour.\nFollow-up: Write one sentence that names both.",
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"expected": null,
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"dataset": "mt"
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},
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{
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"id": "mt-multi-03",
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"prompt": "Define an isosceles triangle.\nFollow-up: Give a real-world example of one.",
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"expected": "isosceles",
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"dataset": "mt"
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},
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{
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"id": "mt-code-01",
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"prompt": "Write a Python function that returns True if a string is a palindrome and False otherwise.",
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"expected": "def",
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"dataset": "mt"
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},
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{
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"id": "mt-code-02",
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"prompt": "In Rust, how do you turn a Vec<u8> into a String when the bytes are guaranteed to be valid UTF-8?",
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"expected": "String::from_utf8",
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"dataset": "mt"
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},
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{
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"id": "mt-code-03",
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"prompt": "Explain quicksort in two sentences.",
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"expected": "pivot",
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"dataset": "mt"
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},
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{
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"id": "mt-writing-01",
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"prompt": "Write a short, professional one-paragraph apology email for a late delivery.",
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"expected": null,
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"dataset": "mt"
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},
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{
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"id": "mt-writing-02",
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"prompt": "Compose a two-line haiku about a quiet datacenter.",
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"expected": null,
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"dataset": "mt"
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},
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{
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"id": "mt-fact-01",
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"prompt": "What is the capital of France?",
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"expected": "Paris",
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"dataset": "mt"
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},
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{
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"id": "mt-fact-02",
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"prompt": "Which planet is the fourth from the Sun?",
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"expected": "Mars",
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"dataset": "mt"
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},
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{
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"id": "mt-fact-03",
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"prompt": "Who wrote the novel 'Pride and Prejudice'?",
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"expected": "Jane Austen",
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"dataset": "mt"
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},
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{
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"id": "mt-explain-01",
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"prompt": "Explain the difference between latency and throughput in one paragraph.",
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"expected": "latency",
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"dataset": "mt"
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},
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{
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"id": "mt-explain-02",
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"prompt": "What is a hash table, in two sentences?",
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"expected": "hash",
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"dataset": "mt"
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},
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{
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"id": "mt-summary-01",
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"prompt": "Summarise the plot of 'Romeo and Juliet' in three sentences.",
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"expected": "Romeo",
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"dataset": "mt"
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},
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{
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"id": "mt-summary-02",
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"prompt": "In one sentence, what is the second law of thermodynamics?",
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"expected": "entropy",
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"dataset": "mt"
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}
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]
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