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| # Notices | |
| This dataset is derived data under the **Community Data License Agreement, | |
| Sharing, Version 1.0**. The agreement text is in | |
| [`LICENSE-CDLA-SHARING-1.0.txt`](LICENSE-CDLA-SHARING-1.0.txt) and at | |
| <https://cdla.dev/sharing-1-0/>. Section 3.3 asks that anyone publishing data | |
| under it include the text, the name, or a link; all three are here. | |
| If you publish anything derived from this dataset, the same terms bind you. That | |
| is what "Sharing" means in the name, and it is the practical difference between | |
| this and a permissive licence. | |
| ## Source | |
| Every derived artefact here comes from **AMLworld**, IBM's synthetic | |
| anti-money-laundering transaction dataset (Altman et al., *Realistic Synthetic | |
| Financial Transactions for Anti-Money Laundering Models*, NeurIPS 2023 Datasets | |
| and Benchmarks), published under CDLA-Sharing-1.0 at | |
| <https://www.kaggle.com/datasets/ealtman2019/ibm-transactions-for-anti-money-laundering-aml>. | |
| Licence confirmed from that listing on 2026-08-10. | |
| The original AMLworld transaction CSVs are **not** redistributed here. Fetch | |
| them from the listing above under your own Kaggle account. | |
| ## Changes made to the Data | |
| Section 3.1(b) asks for prominent notice of changed files. Nothing here is a | |
| copy of an AMLworld file; everything is computed from one. In the order the | |
| pipeline applies them: | |
| 1. **Selection.** The final 20% of HI-Small and LI-Small rows under the source | |
| CSV file-order 60/20/20 partition was reduced to 3,753 and 2,268 edges by | |
| HT-Coreset with sampling seed 0: every illicit edge retained, benign edges | |
| sampled by supervised difficulty. The 1:2 illicit-to-benign ratio uses the | |
| smallest benign budget evaluated in the construction study. Timestamps | |
| were not sorted, and time ranges overlap across the partitions. | |
| `extras/*/ht_subset_indices.npy` records which rows survived. | |
| 2. **Weighting.** Each retained edge carries an inverse-inclusion-probability | |
| weight in `extras/*/ht_weights.npy`. The weights sum to the full split size, | |
| 1,015,669 and 1,384,810. These weights were computed for the selected | |
| evaluation cases; they are not original AMLworld fields. | |
| 3. **Serialisation.** Graph extraction started at each target edge's source | |
| account and expanded over two hops, capped at 50 incoming/outgoing | |
| neighbours together per expanded account per hop, then flattened the graph | |
| into `typed_graph_text`. That column contains re-expressed AMLworld | |
| transaction values. The target was not explicitly retained or marked; see | |
| the [archived input defects](README.md#archived-input-defects). | |
| 4. **Feature extraction.** `extras/*/features_gfp.npz` holds 79 columns per | |
| edge produced by the Snap ML Graph Feature Preprocessor over the AMLworld | |
| graph. | |
| 5. **Relabelling of identifiers.** Cases were retagged from `v2_NNNNN` to | |
| `amlc_NNNNN` on 2026-08-10. The digits are unchanged and are the row | |
| position. Recorded model outputs still quote the earlier form, because they | |
| are recorded output and were not rewritten. | |
| 6. **Corrections after the first build.** LI-Small HT weights were corrected, | |
| and typology decoding was aligned with the released integer-to-label mapping. | |
| 7. **Evaluation scorer update (2026-09-14).** `ensemble_probs_coreset.npy` | |
| now averages LightGBM+GFP and XGBoost+GFP models trained on the file-order | |
| partition. | |
| The original three-model construction scores are preserved in | |
| `construction_probs_coreset.npy`; they include GCPAL+GFP trained with a | |
| random split that overlaps the file-order test partition. `scoring_metadata.json` | |
| records both roles. Targets, graph text, labels, and inclusion weights | |
| are unchanged by this update. | |
| 8. **Documentation update (2026-09-30).** The README, this notice, and scoring | |
| metadata incorporate the 2026-09-28 audit findings: the CSV file-order | |
| partition, sampling seed, and target-edge and time-summary defects in the | |
| archived graph strings. The README distinguishes HT-weighted full-test | |
| estimates from unweighted subset diagnostics computed from the same | |
| predictions. It also clarifies the selected budget, inherited test-selected | |
| thresholds, and archived labels used for published TF1 values. Graph text, | |
| labels, weights, features, indices, and model probabilities are unchanged. | |
| ## What is not CDLA | |
| Section 3.5 says the agreement "imposes no obligations or restrictions on Your | |
| Use or Publication of Results", and §1.11 limits Results to no more than a de | |
| minimis portion of the Data. On that basis: | |
| - **`ml_baselines/weights/`** and **`ml_baselines/test_probs/`** are model | |
| parameters and model outputs, not Data. They are ours and are released under | |
| the **MIT** licence, the same as the code. | |
| - The aggregate metric tables in the code repository's `results/` are Results. | |
| Everything under `data/` and `extras/` is Data and is CDLA-Sharing-1.0. | |
| ## Elliptic | |
| No Elliptic artefact ships here. The Elliptic Bitcoin dataset is CC BY-NC-ND | |
| 4.0, whose NoDerivatives clause forbids redistributing adapted material, so the | |
| code repository ships the pipeline that reproduces those experiments from the | |
| original release and nothing derived from it. | |