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AI Datasets

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AI datasets in this collection cover computer vision, physicalAI, and robotics. They support tasks such as detection, segmentation, tracking, control, reinforcement learning, and large-scale model pretraining and evaluation across domains including everyday objects, smart spaces, and embodied PhysicalAI.

To access the datasets on RCAC clusters: 

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$ module avail
$ module load datasets
$ module avail datasets/ai

Tips:

  • Use echo $ENV_NAME to check the environment value.
  • To see all environment variables related to a dataset, you can load the module then use: env | grep <DATASET_NAME>
  • To unload the module and remove the environment settings: module unload <DATASET_NAME>
  • Each dataset module sets environment variables (e.g., $<DATASET_NAME>_ROOTDIR, $<DATASET_NAME>_HOME, $RCAC_<DATASET_NAME>_ROOT, and $RCAC_<DATASET_NAME>_VERSION) that simplify dataset access and version management within your jobs and workflows.

AI Datasets