metadata
language:
- en
tags:
- agent
pretty_name: TPS-Bench
size_categories:
- n<1K
configs:
- config_name: TPS-EASY
data_files: TPS-EASY.jsonl
- config_name: TPS-HARD
data_files: TPS-HARD.jsonl
TPS-Bench: Evaluating AI Agents’ Tool Planning & Scheduling Abilities in Compounding Tasks
Dataset Description
TPS-Bench is a benchmark designed to evaluate the tool planning and scheduling capabilities of AI agents in compounding tasks. Unlike standard tool-use benchmarks that focus primarily on simple sequential execution, TPS-Bench assesses an agent's ability to handle task dependencies, concurrent execution, and complex temporal constraints.
Subsets
Currently, the benchmark releases two data subsets:
- TPS-EASY: Contains 100 instances. Features shorter dependency paths, suitable for evaluating foundational planning capabilities.
- TPS-HARD: Contains 100 instances. Involves highly complex, long-chain dependencies and multi-tool parallel scheduling scenarios, requiring advanced logical reasoning and precise temporal execution.