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README.md

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+---
+license: cc-by-nc-4.0
+task_categories:
+- tabular-classification
+- time-series-forecasting
+language:
+- en
+tags:
+- synthetic-data
+- finance
+- transactions
+- banking
+- fintech
+size_categories:
+- 10M<n<100M
+---
+
+# FreeSyntheticFinancialTransactions50M
+
+A free dataset of 50 million fully synthetic banking transactions, built for developers and researchers who need realistic financial ledger data at scale — for testing banking apps, ledger and reconciliation logic, budgeting and personal-finance tools, or transaction-processing pipelines. No real people, accounts, or transactions are represented in this data.
+
+## Schema
+
+| Column | Type | Description |
+|---|---|---|
+| transaction_id | string | Unique transaction identifier |
+| account_id | string | Synthetic account identifier |
+| transaction_type | string | debit, credit, transfer, fee, interest, refund, withdrawal, deposit |
+| amount | float | Transaction amount |
+| currency | string | Currency code (USD, EUR, GBP, CAD, AUD, JPY) |
+| merchant_category | string | Spending category (groceries, dining, utilities, etc.) |
+| balance_after | float | Running account balance after the transaction |
+| transaction_timestamp | string | Transaction time (YYYY-MM-DD HH:MM:SS) |
+| status | string | completed, pending, failed, or reversed |
+
+## Format
+
+Single Parquet file, Snappy compression, ~1.5 GB, 50,000,000 rows.
+
+## Quick Start
+
+**pandas**
+```python
+import pandas as pd
+df = pd.read_parquet("transactions_50M.parquet")
+```
+
+**datasets**
+```python
+from datasets import load_dataset
+ds = load_dataset("ziadatalabs/FreeSyntheticFinancialTransactions50M")
+```
+
+**duckdb**
+```python
+import duckdb
+duckdb.sql("SELECT * FROM 'transactions_50M.parquet' LIMIT 10").show()
+```
+
+## Notes
+
+Each account carries a running balance that updates consistently across its completed transactions, so the ledger stays internally coherent for reconciliation testing. Amounts follow a realistic log-normal distribution (mostly small, occasional large), transaction types and statuses follow typical banking proportions, and most transactions are completed with small tails of pending, failed, and reversed. All entirely synthetic.
+
+## License & Usage
+
+Released under CC BY-NC 4.0 — personal, research, and educational use permitted, attribution required, no commercial use.
+
+---
+
+Created by Zia Data Labs. Questions or feedback: zia.data.team@protonmail.com