Datasets › CECW

CECW (Colorful Extended Cleanup World)

Introduced by Ning Shi et al. in Revisit Systematic Generalization via Meaningful Learning archive 2025-07-28

The CECW dataset is a color-extended version of the Cleanup World (CW) borrowed from the mobile-manipulation robot domain. CW refers to a world equipped with a movable object as well as four rooms in four colors, including "blue," "green," "red," and "yellow," which is designed as a simulation environment where the agent can act based on the instructions received. CW obeys a particular Geometric Linear Temporal Logic (GLTL) to parse commands by grammatical syntax, resulting in a total of 3,382 commands reflecting 39 GLTL expressions.

Source: https://github.com/MrShininnnnn/CECW Image Source: https://github.com/MrShininnnnn/CECW

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • CECW

1 variant name, as the archive lists them.

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