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| license: cc-by-4.0 | |
| language: | |
| - en | |
| task_categories: | |
| - tabular-classification | |
| pretty_name: OracleEconLab Oracle Incentives and Accountability v1 | |
| size_categories: | |
| - n<1K | |
| tags: | |
| - blockchain | |
| - oracle | |
| - economics | |
| - trustworthy-ai | |
| - tabular | |
| configs: | |
| - config_name: abc_dictionary | |
| data_files: data/abc_dictionary.parquet | |
| - config_name: uma_real_episode | |
| data_files: data/uma_real_episode.parquet | |
| - config_name: uma_real_episode_abc | |
| data_files: data/uma_real_episode_abc.parquet | |
| - config_name: uma_public_rpc_episode | |
| data_files: data/uma_public_rpc_episode.parquet | |
| - config_name: uma_public_rpc_abc | |
| data_files: data/uma_public_rpc_abc.parquet | |
| - config_name: uma_decisions | |
| data_files: data/uma_decisions.parquet | |
| - config_name: uma_decision_splits | |
| data_files: data/uma_decision_splits.parquet | |
| - config_name: decision_evidence | |
| data_files: data/decision_evidence.parquet | |
| - config_name: ai_feature_dictionary | |
| data_files: data/ai_feature_dictionary.parquet | |
| - config_name: public_ai_episodes | |
| data_files: data/public_ai_episodes.parquet | |
| - config_name: public_ai_decisions | |
| data_files: data/public_ai_decisions.parquet | |
| - config_name: public_ai_splits | |
| data_files: data/public_ai_splits.parquet | |
| - config_name: public_ai_evidence | |
| data_files: data/public_ai_evidence.parquet | |
| - config_name: public_ai_predictions | |
| data_files: data/public_ai_predictions.parquet | |
| - config_name: public_ai_metrics | |
| data_files: data/public_ai_metrics.parquet | |
| # OracleEconLab Oracle Incentives and Accountability v1 | |
| This review-sized draft turns fixed, public UMA protocol evidence into complete | |
| or right-censored economic lifecycles. It is a release candidate for the paper | |
| *Who Verifies Decentralized Information? Economic Incentives, Accountability, | |
| and Trustworthy AI Across Oracle Protocols.* | |
| ## Dataset configurations | |
| | Configuration | Rows | Observation unit | Purpose | | |
| |---|---:|---|---| | |
| | `abc_dictionary` | 28 | economic variable | Formulas, units, sources, missing rules and A/B/C family | | |
| | `uma_real_episode` | 1 | cross-chain episode | End-to-end Polygon OOV2 to Ethereum DVM validation | | |
| | `uma_real_episode_abc` | 28 | case-measure status | Honest mapping of every A/B/C measure to the real case | | |
| | `uma_public_rpc_episode` | 1 | cross-chain episode | Clean-room episode reconstructed without curated-ledger input | | |
| | `uma_public_rpc_abc` | 28 | case-measure status | Public-source-only A/B/C mapping and explicit unavailable states | | |
| | `uma_decisions` | 810 | challenged proposal-time decision | Minimal four-action AI evaluation | | |
| | `uma_decision_splits` | 810 | decision split assignment | Frozen chronological train/validation/test partition | | |
| | `decision_evidence` | 2430 | timestamped evidence reference | Prediction-level provenance and leakage audit | | |
| | `ai_feature_dictionary` | 16 | decision-time feature | Feature meaning, source and availability | | |
| | `public_ai_episodes` | 64 | public-source cross-chain episode | Economic lifecycle reconstructed from fixed public receipts | | |
| | `public_ai_decisions` | 64 | proposal-time decision | Credential-free public-source AI demonstration inputs | | |
| | `public_ai_splits` | 64 | split assignment | Label-free chronological 44/10/10 partition | | |
| | `public_ai_evidence` | 192 | timestamped evidence reference | Decision-time traceability for every demonstration prediction | | |
| | `public_ai_predictions` | 70 | model/action output | Four-action predictions, confidence, evidence and protocol endpoint | | |
| | `public_ai_metrics` | 7 | model evaluation | Calibration, coverage, abstention and stylized economic cost | | |
| ## A/B/C economic measure families | |
| - **A — Verification concentration (Who verifies?):** HHI, top-k share, | |
| effective number of monitors and threshold monitor count. | |
| - **B — Incentives and frictions (Why verify?):** reward/bond, capital-days, | |
| fees, Gas, verification cost and scenario-based expected private utility. | |
| - **C — Accountability outcomes (What happens?):** dispute, adjudication, | |
| transfer, realized payoff, delay and right censoring. | |
| A/B/C are measure families. They are not the project's Sample A/B/C data | |
| cohorts. Identity, decision-time, cross-chain-link and provenance fields remain | |
| supporting fields rather than being mislabeled as economic outcomes. | |
| ## Construction and provenance | |
| The fixed cutoff is `2026-06-30T23:59:59Z`. The real case begins with canonical | |
| Polygon request, proposal, dispute and settlement records, links them to the | |
| Ethereum DVM with a Grade-A deterministic match, reconciles token flows, and | |
| separates returned principal from realized reward. Every processed episode or | |
| decision contains transaction/evidence references and a deterministic | |
| provenance identifier. File integrity is recorded in `checksums.csv`. | |
| The main reconstruction commands live in the GitHub `real-release-v1.5` | |
| branch. `public_evidence/` includes the five fixed receipts, canonical headers, | |
| case specification, source checksums and verified contract-semantic rules used | |
| by the clean-room entry. This draft contains review-sized processed evidence; it does not claim | |
| that every protocol ledger can be regenerated without archive infrastructure. | |
| The executed `notebooks/uma_minimal_trustworthy_ai_demo.ipynb` loads the frozen | |
| tables, reruns the leakage audit and chronological evaluation, and writes the | |
| review-sized artifacts under `demo_outputs/`. Its reported performance is not | |
| edited or filtered after execution. | |
| The independent `public_ai_evidence/` path closes the public-source chain for a | |
| fixed 64-episode demonstration: a label-free transaction registry, 280 canonical | |
| Polygon/Ethereum receipt and header bundles, decoded economic episodes, | |
| decision-time features, model outputs and QC. Live mode uses credential-free | |
| public endpoints; offline mode deterministically replays the frozen snapshot. | |
| The model result is intentionally reported even when weak. It is a pipeline | |
| demonstration rather than evidence of production challenge quality. | |
| ## Trustworthy-AI task | |
| At the OOV2 proposal timestamp, the benchmark emits one of `Accept`, | |
| `Investigate`, `Challenge`, or `Abstain`. The endpoint is whether the later UMA | |
| protocol resolution rejects the proposal. Only decision-time fields may be | |
| used as model inputs. Columns whose names end in `_outcome_only`, the protocol | |
| label, dispute result and settlement evidence are evaluation-only and must not | |
| enter the model. | |
| The 810 observations condition on proposals that were actually challenged, | |
| Grade-A linked, price-consistent and flow-exact. The task is therefore a | |
| conditional protocol-outcome evaluation, not a causal policy for all proposals | |
| and not an independent truth classifier. | |
| ## Intended uses | |
| - audit economic variable construction and source traceability; | |
| - reproduce the real UMA episode and its payoff decomposition; | |
| - evaluate calibration, abstention, leakage and robustness on the conditional | |
| decision cohort; | |
| - study A/B/C constructs within their declared observation units. | |
| ## Uses that are not validated | |
| - production deployment of automated challenges; | |
| - causal claims that rewards or penalties improve truthfulness; | |
| - treating protocol acceptance or DVM resolution as independent factual truth; | |
| - identity, geography or intent inference from blockchain addresses; | |
| - aggregation of heterogeneous token amounts without asset-preserving conversion. | |
| ## Biases and limitations | |
| The decision cohort has selective labels because it includes only actually | |
| challenged UMA requests. It over-represents mechanisms and market adapters for | |
| which exact cross-chain and token-flow evidence is recoverable. Address-level | |
| concentration is not entity-level concentration. Off-chain investigation labor | |
| is unavailable and remains a declared scenario. Independent factual truth is | |
| available only for a small external-rule subset outside the core protocol label. | |
| ## Personal and sensitive information | |
| The data contain public pseudonymous contract/account addresses, transaction | |
| hashes and block metadata. They contain no asserted mapping from an address to | |
| a natural person and must not be used to infer human identity. RPC endpoint | |
| URLs, credentials and private keys are not included. | |
| ## Licensing | |
| Original curated tables and documentation are CC BY 4.0. Upstream contracts, | |
| APIs and third-party records remain governed by their own terms. See | |
| `DATA_LICENSE.md` and `CITATION.cff`. | |