Llm System Ops Production Telemetry Sft Data: Synthetic LLM Operations Metrics

A synthetic, production-style telemetry dataset for LLM operations analytics. It was created by author tarekmasryo and last updated on 2026-02-09. The data is designed for monitoring cost, latency, token usage, failures, safety flags, tool usage, and user feedback across interaction, session, and user levels.

Use Cases

• Prototyping LLM cost monitoring dashboards based on described cost and token usage metrics.
• Simulating failure analysis and alerting systems based on described failure and safety flag data.
• Training or fine-tuning models for operational tasks using the described SFT table aligned with interactions.
• Analyzing user engagement patterns based on described session and user-level rollups.
• Benchmarking tool usage efficiency in LLM applications based on described tool usage telemetry.

Strengths

• Synthetic nature makes it safe for teaching, prototyping, and portfolio work without privacy concerns.
• Designed with a multi-table structure supporting interaction, session, and user-level analysis.
• Includes a dedicated SFT (Supervised Fine-Tuning) table aligned 1:1 with interactions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale projects.
• Freshness should be verified as the last update timestamp is in the future (2026-02-09).

Provenance

Source

huggingface

Collection Method

Synthetically generated.

Freshness

Last updated 2026-02-09 20:46:29.