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

import pandas as pd
df = pd.read_parquet("transactions_50M.parquet")

datasets

from datasets import load_dataset
ds = load_dataset("ziadatalabs/FreeSyntheticFinancialTransactions50M")

duckdb

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.

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Created by Zia Data Labs. Questions or feedback: zia.data.team@protonmail.com