Datasets:

quailrobot
/

aml-v1-sample

license: cc-by-nc-sa-4.0
task_categories:
  - tabular-classification
tags:
  - anti-money-laundering
  - aml
  - fraud-detection
  - graph
  - synthetic
  - finance
  - transactions
pretty_name: QM Synthetic AML Transfer Network
configs:
  - config_name: transactions
    data_files: transactions_sample.csv
    default: true
  - config_name: accounts
    data_files: accounts.csv
  - config_name: cases
    data_files: cases.csv

QM Synthetic AML Transfer Network - Free Sample

Buy the full commercial edition: $5 USD -> Polar checkout, instant download
This free sample is non-commercial (CC BY-NC-SA 4.0). The paid full edition has a commercial licence.

Summary

Synthetic bank transfers with labelled money-laundering cases, for anti-money-laundering (AML) model development, graph ML and transaction-monitoring rule testing; the paid full edition can be used commercially.

Best for: AML model prototyping, GNN / graph-motif research, testing monitoring rules, training and demos without customer data
Not for: regulatory model validation or estimating real laundering prevalence

Quick start

from datasets import load_dataset
ds = load_dataset("quailrobot/aml-v1-sample", split="train")  # main table: transactions_sample.csv
# pandas alternative: pd.read_csv("hf://datasets/quailrobot/aml-v1-sample/transactions_sample.csv")

Facts

Task: tabular / graph binary classification (laundering detection) + typology evaluation
Labels: is_laundering (0/1); typology = fan_in_smurfing, fan_out, cycle, layering_chain, scatter_gather; case_id
Full edition size: 4,746,819 transfers, 100,000 accounts, 180 days, 200 laundering cases
Free sample size: 567,302 transfers = first 20 days (transactions_sample.csv); roles and cases only for laundering seen in that window (22 cases)
Format: full: Parquet (transactions) + CSV (accounts, cases); sample: CSV
What's included (full edition): transactions.parquet, accounts.csv, cases.csv, stats.json, benchmark.json, bench_aml.py, README.md, LICENSE.txt
Price: $5 USD; checkout may display the equivalent in your local currency
Buy URL (primary): https://buy.polar.sh/polar_cl_HnkK7xRcMaBfwFmfVUYNijc7MXsqYg2A3viVi2I5BcY
Licence (full edition): LicenseRef-QuailModel-Commercial (commercial use allowed, no resale of the data)
Licence (free sample): CC-BY-NC-SA-4.0
Validation: Our own test on the full edition (time split, train first 70 % of days): class-balanced gradient boosting on 11 flat per-transaction features ROC-AUC 0.980, PR-AUC 0.157 (benchmark.json + script included). Graph-aware methods should do better.
Data source: 100% synthetic, generated by QuailModel with AI assistance (generator code written with an AI model)
Catalog (all QuailModel datasets, catalog.json, llms.txt): https://quailrobot-quailmodel.static.hf.space
Last updated: 2026-10-10

Validation

Our own test on the full edition (time split, train first 70 % of days): class-balanced gradient boosting on 11 flat per-transaction features ROC-AUC 0.980, PR-AUC 0.157 (benchmark.json + script included). Graph-aware methods should do better.

Price & licence

Full edition: $5 USD. One-time payment, instant download after checkout: https://buy.polar.sh/polar_cl_HnkK7xRcMaBfwFmfVUYNijc7MXsqYg2A3viVi2I5BcY
QuailModel Commercial Dataset Licence (SPDX: LicenseRef-QuailModel-Commercial): you may train, evaluate and ship models, including in commercial products. You may not resell or redistribute the dataset itself.
Free sample (this page): CC BY-NC-SA 4.0 - free for non-commercial use.

Limitations

100% synthetic: not validated against real bank data - check on your own data before production.
Typologies are simulated patterns; real laundering is more varied.

Custom dataset of YOUR object ($249)

Need data of YOUR object? Custom Object-Detection Dataset of Your Object (2,000 images), $249 USD -> order on Polar

Note: this is an image / object-detection service (not tabular data).
What you get: 2,000 labelled photoreal synthetic images (640x640 JPEG) of your own object or scenario (product, part, tool, drone, package, defect...), up to 3 classes, YOLO bounding boxes + data.yaml, train/val/test split, quality report
Licence: commercial use allowed
Price: $249 USD one-time; one round of adjustments included
Delivery: typically 3-5 business days after we receive your reference photos + rough dimensions
Optional sim-to-real test: send ~200 of your own labelled real images and we report how much the synthetic data improves a detector on them
Refund: full refund if we cannot deliver your request (14-day refund policy)
Limits: only objects you own or are allowed to use; no weapons or anything meant to harm people; no copied third-party 3D assets
Order URL: https://buy.polar.sh/polar_cl_AQu6LzRtqiQmKPlgPt0zePBtvWjJI4vULeFMQ4NLHH9
Details + contact: https://quailrobot-quailmodel.static.hf.space

This free sample: 461,111 transfers = first 20 days (transactions_sample.csv); roles and cases only for laundering seen in that window. Full commercial edition: 3,795,865 transfers, 100,000 accounts, 180 days, 200 laundering cases (zip 67 MB). Fully synthetic data; summary, facts, validation and limitations are in the block above.

Files

file	content
transactions	transaction_id, amount, timestamp, channel, is_laundering, typology, case_id, src_account, dst_account, currency
accounts.csv	account_id, type, bank, country, opened_days_ago, laundering_role
cases.csv	case_id, typology, n_tx
benchmark.json, bench_aml.py	reproducible baseline (full edition)

How it was made

Produced by QuailModel's own simulator, including legitimate activity alongside the labelled patterns. Labels are exact, because they are known by construction.

Credits

No third-party data was used.

Licence

Sample edition: CC BY-NC-SA 4.0 (non-commercial). The full commercial edition is sold by QuailModel (see the buy link).

Disclosure

Generated by QuailModel with AI assistance (generator code written with an AI model); all data is synthetic / computer-generated. Validate on your own real data before production use.