| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - text-generation |
| language: |
| - en |
| tags: |
| - synthetic |
| - B2B |
| - finance |
| - privacy-safe |
| size_categories: |
| - n<1K |
| pretty_name: Aml_Transaction_Anomalies |
| --- |
| |
| # Aml_Transaction_Anomalies (Synthetic B2B Dataset Preview) |
|
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| **Add me on Discord: `xomohappy` for access support, delivery questions, or product questions about this premade commercial dataset.** |
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| This is a premium, privacy-compliant, industry-safe synthetic dataset simulating **Anti-Money Laundering (AML) suspicious logs** for B2B applications. |
|
|
| ## About this Dataset |
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| This dataset is generated programmatically using large language models combined with a strict data curation and validation layer. |
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| * **Privacy-safe:** Contains synthetic names, phone numbers, and company identifiers. |
| * **Structured and verified:** Schema-validated, formatted, and deduplicated to reduce model overfitting risk. |
| * **Target AI use case:** FinTech compliance teams and fraud detection developers. |
| * **Category:** Finance |
|
|
| ## Schema Definition |
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| Each record contains the following fields: |
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| * `transaction_id` (str): Pre-assigned Transaction ID (e.g. TXN-AML-XXXX) |
| * `account_holder` (str): Pre-assigned Account Holder Name |
| * `account_type` (str): Personal Savings, Corporate Checking, or Trust Account |
| * `transaction_pattern` (str): Description of transaction amounts, frequencies, and locations |
| * `compliance_flag` (str): Suspicious Activity Report (SAR) Flag, Enhanced Due Diligence (EDD), or Cleared |
| * `investigator_rationale` (str): Detailed analysis of layering, structuring, or velocity indicators |
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| --- |
|
|
| ## Get the Commercial Version |
|
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| Need a larger dataset for production fine-tuning? The matching private repo is `HaseebDev/aml_transaction_anomalies-commercial` and is available under a **commercial license**. |
|
|
| * **Payment:** Lemon Squeezy hosted checkout. |
| * **Delivery:** Lemon Squeezy checkout with secure commercial delivery after purchase |
| * **Typical commercial package:** 10,000+ records, schema documentation, and quality audit report. |
|
|
| **[Open the commercial access page](https://haseebdev.github.io/synthetic-data-checkout/commercial-access.html?niche=aml_transaction_anomalies&demo_repo=HaseebDev%2Faml_transaction_anomalies&commercial_repo=HaseebDev%2Faml_transaction_anomalies-commercial&checkout_url=https%3A%2F%2Fsyntheticdatasetlab.lemonsqueezy.com%2Fcheckout%2Fbuy%2F431fde4c-a3ff-4587-825b-7ec496b1e98e%3Fcheckout%255Bcustom%255D%255Bdataset%255D%3Daml_transaction_anomalies%26checkout%255Bcustom%255D%255Bdemo_repo%255D%3DHaseebDev%252Faml_transaction_anomalies%26checkout%255Bcustom%255D%255Bcommercial_repo%255D%3DHaseebDev%252Faml_transaction_anomalies-commercial%26utm_source%3Dhuggingface%26utm_medium%3Ddataset_card%26utm_campaign%3Daml_transaction_anomalies)** |
|
|
| ## Quality Audit |
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| # Dataset Quality Report |
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| ## Executive Summary |
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| | Metric | Value | |
| | :--- | :--- | |
| | Status | **PASS** | |
| | Quality Score | **94/100** | |
| | Records Audited | 100 | |
| | Niche | Anti-Money Laundering (AML) suspicious logs | |
| | Category | Finance | |
|
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| ## Quality Gates |
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| | Dimension | Result | |
| | :--- | :--- | |
| | Schema Conformance | 100.0% (100/100) | |
| | Duplicate Rows | 0 | |
| | Duplicate Identity Values | 0 | |
| | Non-Synthetic Phone Risk | 0 | |
| | Email Address Count | 0 | |
| | Max Fuzzy Similarity | 0.404 | |
| | Average Words Per Descriptive Field | 143.76 | |
| | Vocabulary Diversity | 0.872 | |
| | Repeated Phrase Count | 803 | |
| | Domain Keyword Coverage | 0.533 | |
|
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| ## Buyer Assurance |
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| This dataset was checked with deterministic local tooling before publication. The audit verifies schema consistency, uniqueness, text depth, duplicate risk, repeated wording, domain terminology coverage, and obvious PII leakage patterns. |
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| ## Findings |
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| - **MINOR**: 803 repeated four-word phrase pattern(s) detected. |
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