Nano1337cc-by-nc-sa-4.0

WGO-Bench Localization Given Labels

A temporal localization benchmark where models are given robot manipulation videos and shuffled event labels with multiplicities, and must predict the start and end times for each labeled event occurrence. Derived from Macrodata Labs' WGO-Bench with 100 episodes split into 80 training and 20 test episodes.

Downloadsnull

Technical Profile

Modalities
rgblanguage
Environment
lab
Task Types
manipulationpick_and_placepouring
Data Format
parquet
License
cc-by-nc-sa-4.0
Part of the WGO-Bench Localization Given Labels family

Access

Need custom rgb data?

Claru builds purpose-built datasets for lab applications with dense human annotations and quality assurance.

Request a Sample Pack

Related Datasets