FreeSyntheticServerLogs100M

A free dataset of 100 million fully synthetic server and application log entries, built for developers and researchers who need realistic structured log data at scale — for testing log-analytics tools, alerting and observability pipelines, log-parsing systems, or training models to classify and triage logs. No real systems, users, or production data are represented in this data.

Schema

Column	Type	Description
log_id	string	Unique log entry identifier
log_timestamp	string	Event time (YYYY-MM-DD HH:MM:SS)
service_name	string	Emitting service (auth-service, api-gateway, etc.)
log_level	string	INFO, DEBUG, WARN, ERROR, or FATAL
status_code	int	HTTP status code, correlated with log level
response_time_ms	int	Request duration in milliseconds
http_method	string	GET, POST, PUT, DELETE, PATCH
endpoint	string	API endpoint path
host	string	Host identifier (region + node)
message	string	Log message text

Format

Single Parquet file, Snappy compression, ~2.0 GB, 100,000,000 rows.

Quick Start

pandas

import pandas as pd
df = pd.read_parquet("logs_100M.parquet")

datasets

from datasets import load_dataset
ds = load_dataset("ziadatalabs/FreeSyntheticServerLogs100M")

duckdb

import duckdb
duckdb.sql("SELECT * FROM 'logs_100M.parquet' LIMIT 10").show()

Notes

Status codes and response times are correlated with log level — INFO and DEBUG carry 2xx/3xx codes and fast responses, WARN skews toward 4xx, and ERROR and FATAL carry 5xx codes with slower response times — so the data reflects the real relationships a log-analytics or anomaly-detection model would learn. Log-level, service, method, and endpoint distributions reflect typical production traffic. All entirely synthetic. Note: at 100M rows, load in batches (e.g. pyarrow iter_batches or duckdb) rather than all at once on memory-limited machines.

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