ITBench-Lite: 65 Real-World IT Automation Scenarios for AI Agent Benchmarking

ITBench-Lite is a systematic framework for benchmarking large language models and AI agents on real-world IT automation tasks. The dataset contains 65 scenarios across three critical domains, including 35 scenarios for Site Reliability Engineering. It was created by IBM Research and is associated with a research paper titled 'ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks'.

Use Cases

• Benchmarking LLM performance on IT automation tasks based on the 65 described scenarios.
• Evaluating AI agent capabilities in Site Reliability Engineering based on the 35 included SRE scenarios.
• Training or fine-tuning models for IT task automation based on the structured scenario framework.

Strengths

• Contains 65 distinct real-world IT automation scenarios for systematic evaluation.
• Includes 35 scenarios specifically for Site Reliability Engineering, a critical IT domain.
• Created by IBM Research and linked to a formal research paper, suggesting a research-grade foundation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last updated 2026-04-21 15:30:08; freshness should be verified.

Provenance

Source

IBM Research

Collection Method

Likely created as a structured framework for research benchmarking.

Freshness

Last updated 2026-04-21 15:30:08.