Add Perfect Audit Crime Challenge (demo row + Challenge dataset group)
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README.md
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@@ -27,6 +27,7 @@ train, benchmark, and stress-test audit, fraud-detection, and graph-ML systems.
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| π [**Accounting Network Explorer**](https://huggingface.co/spaces/VynFi/accounting-network-explorer) | Interactive ISO 21378 account-class flow graph β filter by business process, fraud, anomaly, amount, top-N; drill from Level-2 classes into Level-3 sub-classes. |
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| π [**Process Mining Demo**](https://huggingface.co/spaces/VynFi/process-mining-demo) | pm4py directly-follows graphs, variants, and statistics on the supply-chain OCEL 2.0 event log. |
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| ποΈ [**Data Explorer**](https://huggingface.co/spaces/VynFi/data-explorer) | Browse and inspect the VynFi synthetic datasets. |
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## π¦ Datasets
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| [vynfi-ocel-manufacturing](https://huggingface.co/datasets/VynFi/vynfi-ocel-manufacturing) | Manufacturing OCEL 2.0 event log β production-order lifecycle + quality inspections. |
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| [vynfi-supply-chain-ocel](https://huggingface.co/datasets/VynFi/vynfi-supply-chain-ocel) | 5-company manufacturing supply-chain OCEL 2.0 event log for cross-process mining. |
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## π€ Models
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| Model | What it is |
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| π [**Accounting Network Explorer**](https://huggingface.co/spaces/VynFi/accounting-network-explorer) | Interactive ISO 21378 account-class flow graph β filter by business process, fraud, anomaly, amount, top-N; drill from Level-2 classes into Level-3 sub-classes. |
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| π [**Process Mining Demo**](https://huggingface.co/spaces/VynFi/process-mining-demo) | pm4py directly-follows graphs, variants, and statistics on the supply-chain OCEL 2.0 event log. |
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| ποΈ [**Data Explorer**](https://huggingface.co/spaces/VynFi/data-explorer) | Browse and inspect the VynFi synthetic datasets. |
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| π΅οΈ [**Perfect Audit Crime Challenge**](https://huggingface.co/spaces/VynFi/perfect-audit-crime-challenge) | Two-track community leaderboard β flag the planted fraud in synthetic GLs and help map the *detectability frontier*. **Track A** (ledger only): the *mimetic perfect crime* β fraud drawn from the ledger's own normal distribution β is provably uncatchable. **Track B** (ledger + ISA-520/505 evidence): it becomes catchable. Upload a submission β PR-AUC + per-observability recall on held-out labels. |
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## π¦ Datasets
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| [vynfi-ocel-manufacturing](https://huggingface.co/datasets/VynFi/vynfi-ocel-manufacturing) | Manufacturing OCEL 2.0 event log β production-order lifecycle + quality inspections. |
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| [vynfi-supply-chain-ocel](https://huggingface.co/datasets/VynFi/vynfi-supply-chain-ocel) | 5-company manufacturing supply-chain OCEL 2.0 event log for cross-process mining. |
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**Challenge**
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| Dataset | Highlights |
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| [perfect-audit-crime-data](https://huggingface.co/datasets/VynFi/perfect-audit-crime-data) | The ledgers behind the [Perfect Audit Crime Challenge](https://huggingface.co/spaces/VynFi/perfect-audit-crime-challenge) β 3 multi-entity GLs across two tracks (ledger / ledger + ISA-520/505 evidence) with a planted *mimetic perfect-crime* family; labels held out for scoring. |
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## π€ Models
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| Model | What it is |
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