ACPBench

IBM's boolean- and multiple-choice test of seven atomic reasoning skills needed for planning -- action applicability, reachability, justification, landmarks and more -- across 13 formal domains.

Also known as: ACP Bench, acp-bench

unassessed

This page is a discovery lead. Nobody has yet assessed it against the catalogue contract, so it carries no disposition. Absence of evidence here is not evidence of staleness.
Categoryreasoning
Subcategoryplanning and action reasoning
Page statusactive
Metricaccuracy
Directionhigher_is_better
Unit%
Dataset licenceCDLA-Permissive-2.0
PublisherIBM Research

What it measures

ACPBench gives a model a natural-language description of a planning problem (translated from a formal PDDL domain and problem definition, covering domains such as Blocksworld, Logistics, Grippers and Alfworld) and asks a targeted question about one of seven atomic reasoning skills: whether an action is applicable in the current state, what a state looks like after an action (progression), whether a goal atom is reachable, whether an action sequence validly achieves a goal, whether an action could ever become applicable on some future path (action reachability), whether an action in a plan is unjustified and can be dropped, or which facts every valid plan must pass through (landmarks). It isolates the specific reasoning sub-skills end-to-end plan generation depends on, rather than asking a model to produce a full plan itself.

Task format

Boolean (yes/no) or four-option multiple-choice questions over a natural-language-translated planning problem; the base ACPBench tasks require no free-text generation (a separate, harder generative version, ACPBench-Hard, exists -- see Lineage).

Models reporting this benchmark

No model card in ModelSpec reports this benchmark yet.

Data

This page as JSON · Edit on GitHub