8 datasets found

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  • Situated Instruction Following

    Situated Instruction Following (SIF) dataset, a new dataset to evaluate situated and holistic understanding of language instructions.

  • iGibson

    The dataset used for the experiments in the paper, consisting of 2D and 3D environments, and objects to interact with.

  • Gibson

    The Gibson dataset is used to train DRL agents for visual navigation. The dataset consists of RGB images and depth maps of indoor environments.

  • RoboTHOR

    The RoboTHOR dataset is a simulation environment for embodied AI research, containing 15 validation environments with 12 different goal object categories.

  • Goal Drift Dataset

    The Goal Drift Dataset is a collection of triplets (current observation, goal imagination, instruction) from the OpenAI Contractor Gameplay Dataset, used to train the Imaginator.

  • ProcTHOR

    A benchmark dataset for MultiON task across different houses for evaluation and future use by researchers.

  • Habitat

    The Habitat dataset is a large-scale indoor simulator dataset containing 145 semantically-annotated indoor scenes.

  • Habitat-Matterport 3D Dataset (HM3D)

    The HM3D dataset is a large-scale 3D environment dataset, consisting of 1000 large-scale 3D environments for embodied AI. The dataset is used to evaluate the performance of SLAM...