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README.md
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## Dataset Description
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The **MPI3D-toy dataset** is a **synthetically rendered image dataset** designed for benchmarking algorithms in **disentangled representation learning** and **unsupervised representation learning**. It is part of the broader MPI3D dataset suite, which also includes [realistic simulated](https://huggingface.co/datasets/randall-lab/mpi3d-realistic) and [real-world](https://huggingface.co/datasets/randall-lab/mpi3d-
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The **toy version** was generated using a **simplified computer graphics renderer** (Quicksilver hardware renderer in Autodesk 3ds Max), based on CAD models of a physical robotic setup. This allows researchers to systematically study **sim-to-real transfer** and the effect of simulation fidelity.
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## Dataset Description
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The **MPI3D-toy dataset** is a **synthetically rendered image dataset** designed for benchmarking algorithms in **disentangled representation learning** and **unsupervised representation learning**. It is part of the broader MPI3D dataset suite, which also includes [realistic simulated](https://huggingface.co/datasets/randall-lab/mpi3d-realistic), [real-world](https://huggingface.co/datasets/randall-lab/mpi3d-real) and [complex real-world](https://huggingface.co/datasets/randall-lab/mpi3d-complex)variants.
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The **toy version** was generated using a **simplified computer graphics renderer** (Quicksilver hardware renderer in Autodesk 3ds Max), based on CAD models of a physical robotic setup. This allows researchers to systematically study **sim-to-real transfer** and the effect of simulation fidelity.
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