The 2014 International Planning Competition: Progress and Trends
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This article reviews the 2014 International Planning Competition (IPC‐2014), the eighth in a series of competitions starting in 1998. IPC‐2014 was held in three separate parts to assess the state of the art in three prominent areas of planning research: the deterministic (classical) part (IPCD), the learning part (IPCL), and the probabilistic part (IPPC). Each part evaluated planning systems in ways that pushed the edge of existing planner performance by introducing new challenges, novel tasks, or both. The competition surpassed again the number of competitors that participated in its predecessor, highlighting the competition's central role in shaping the landscape of ongoing developments in evaluating planning systems.
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Planetarium contains a dataset of 145,918 text-to-PDDL pairs derived from the International Planning Competition, across 73 unique state combinations.
“along with a dataset of 145,918 text-to-PDDL pairs across 73 unique state combinations with varying levels of difficulty.”
From Planetarium: A Rigorous Benchmark for Translating Text to Structured Planning Languages (2025) · cites this paper as Vallati et al., 2015
The 'Domain Models Introduced' section discusses IPC planning domains and PDDL features, but not a Planetarium dataset. Searches for Planetarium, 145,918 text-to-PDDL pairs, and 73 state combinations found no passage addressing the dataset or those figures. (LLM, conf=0.76)
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- Authors
- Vallati, M., Chrpa, L., Grześ, M., McCluskey, T. L., Roberts, M., & Sanner, S.
- Affiliations
- University of Huddersfield (GB)
- University of Kent (GB)
- United States Naval Research Laboratory (US)
- Data61 (AU)
- Venue
- AI Magazine
- Publisher
- Wiley
- Published
- 2015-09
- Volume
- 36
- Issue
- 3
- Pages
- 90-98
- ISSN
- 0738-4602 (ISSN-L)
- 2371-9621
- OpenAlex
- W2147277731
- Cited by
- 112
- References
- 41
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 9 · 2023: 6 · 2022: 5 · 2021: 12 · 2020: 12 · 2019: 12 · 2018: 20 · 2017: 19 · 2016: 6 · 2015: 2
- FWCI
- 15.36
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- AI Magazine (publishedVersion)
- University of Huddersfield Repository (University of Huddersfield) (acceptedVersion)
- Kent Academic Repository (University of Kent) (submittedVersion)
- Huddersfield Research Portal (University of Huddersfield) (submittedVersion)
- Funders
- Amazon Web Services
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Physical Sciences › Computer Science › Computer Networks and Communications › Constraint Satisfaction and Optimization
- Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
- Keywords
- International Planning Competition, planning systems, deterministic planning, learning-based planning, probabilistic planning
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