Prodigy
Assorted domains like blocksworld, eightpuzzle, and schedworld.
Dataset Characteristics
Domain-Theory
Subject Area
Other
Associated Tasks
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Feature Type
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# Instances
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# Features
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Dataset Information
Additional Information
Here is a summary of the domains that can be used currently with Prodigy. Each one is described briefly. For more information in any of them, read the README file in the directory corresponding to the domain. * stripsworld: There are several directories related to this domain: -- stripsworld: the domain for STRIPS. -- extended-strips: an extension to the STRIPS domain where doors can be locked and there are keys for the locks. -- multirobot: the STRIPS domain with two or more robots. * blocksworld: There are several directories related to this domain: -- blocksworld: the domain as was built initially. -- frozenblocksworld: a stable version. Used for the manual. -- extended-bw: an extension to blocksworld that deals with the weight and location of the blocks. (See also gridworld) * eightpuzzle: a domain for solving the eight puzzle. * grammar: a simple grammar. * gridworld: a 3-D version of blocksworld. * jupiter: Prodigy interacts with an external world, via the World Modelers. * logic: a simple logic domain. * matrix-algebra: gaussian elimination in matrices. * r1: VAX configuration domain (a simplification of R1). * rocket: chinese rocket domain. * schedworld: a machine shop scheduling domain. * telescope: a domain for building telescope mirrors.
Has Missing Values?
No
Dataset Files
| File | Size |
|---|---|
| domains/blocksworld/blocksgraph.lisp | 18 KB |
| domains/frozenblocksworld/blocksgraph.lisp | 18 KB |
| domains/jupiter/functions.lisp | 17.3 KB |
| domains/extended-strips/probsets/ps7.lisp | 17.2 KB |
| domains/gridworld/functions.lisp | 17.2 KB |
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset prodigy = fetch_ucirepo(id=84) # data (as pandas dataframes) X = prodigy.data.features y = prodigy.data.targets # metadata print(prodigy.metadata) # variable information print(prodigy.variables)
Prodigy [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5603W.
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.