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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - video-classification
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+ tags:
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+ - physics
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+ - video-regression
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+ - benchmark
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+ - physical-laws
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+ size_categories:
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+ - 1K<n<10K
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+ configs:
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+ - config_name: pendulum
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+ data_files:
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+ - split: train
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+ path: pendulum/train-*.parquet
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+ - config_name: rigidCollision
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+ data_files:
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+ - split: train
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+ path: rigidCollision/train-*.parquet
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+ - config_name: sphereDrop3D
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+ data_files:
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+ - split: train
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+ path: sphereDrop3D/train-*.parquet
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+ - config_name: dye2d
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+ data_files:
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+ - split: train
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+ path: dye2d/train-*.parquet
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+ - config_name: flowpastcylinder2d
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+ data_files:
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+ - split: train
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+ path: flowpastcylinder2d/train-*.parquet
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+ - config_name: totalInternalReflection
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+ data_files:
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+ - split: train
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+ path: totalInternalReflection/train-*.parquet
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+ - config_name: doubleSlitInterference
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+ data_files:
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+ - split: train
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+ path: doubleSlitInterference/train-*.parquet
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+ - config_name: cylinderTorsion3D
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+ data_files:
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+ - split: train
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+ path: cylinderTorsion3D/train-*.parquet
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+ - config_name: longCuboidBending3D
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+ data_files:
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+ - split: train
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+ path: longCuboidBending3D/train-*.parquet
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+ - config_name: hyperelasticNeoHookeanCuboid3D
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+ data_files:
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+ - split: train
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+ path: hyperelasticNeoHookeanCuboid3D/train-*.parquet
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+ dataset_info:
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+ - config_name: pendulum
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+ features:
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+ - name: family
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+ dtype: string
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+ - name: id
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+ dtype: string
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+ - name: video
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+ dtype: video
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+ - name: regression_attribute
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+ dtype: string
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+ - name: regression_value
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+ dtype: float64
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+ splits:
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+ - name: train
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+ num_examples: 500
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+ - config_name: rigidCollision
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+ features:
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+ - name: family
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+ dtype: string
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+ - name: id
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+ dtype: string
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+ - name: video
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+ dtype: video
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+ - name: regression_attribute
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+ dtype: string
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+ - name: regression_value
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+ dtype: float64
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+ splits:
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+ - name: train
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+ num_examples: 500
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+ - config_name: sphereDrop3D
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+ features:
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+ - name: family
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+ dtype: string
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+ - name: id
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+ dtype: string
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+ - name: video
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+ dtype: video
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+ - name: regression_attribute
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+ dtype: string
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+ - name: regression_value
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+ dtype: float64
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+ splits:
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+ - name: train
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+ num_examples: 500
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+ - config_name: dye2d
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+ features:
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+ - name: family
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+ dtype: string
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+ - name: id
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+ dtype: string
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+ - name: video
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+ dtype: video
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+ - name: regression_attribute
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+ dtype: string
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+ - name: regression_value
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+ dtype: float64
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+ splits:
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+ - name: train
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+ num_examples: 500
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+ - config_name: flowpastcylinder2d
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+ features:
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+ - name: family
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+ dtype: string
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+ - name: id
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+ dtype: string
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+ - name: video
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+ dtype: video
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+ - name: regression_attribute
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+ dtype: string
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+ - name: regression_value
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+ dtype: float64
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+ splits:
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+ - name: train
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+ num_examples: 500
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+ - config_name: totalInternalReflection
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+ features:
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+ - name: family
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+ dtype: string
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+ - name: id
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+ dtype: string
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+ - name: video
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+ dtype: video
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+ - name: regression_attribute
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+ dtype: string
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+ - name: regression_value
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+ dtype: float64
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+ splits:
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+ - name: train
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+ num_examples: 500
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+ - config_name: doubleSlitInterference
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+ features:
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+ - name: family
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+ dtype: string
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+ - name: id
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+ dtype: string
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+ - name: video
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+ dtype: video
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+ - name: regression_attribute
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+ dtype: string
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+ - name: regression_value
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+ dtype: float64
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+ splits:
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+ - name: train
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+ num_examples: 500
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+ - config_name: cylinderTorsion3D
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+ features:
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+ - name: family
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+ dtype: string
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+ - name: id
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+ dtype: string
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+ - name: video
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+ dtype: video
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+ - name: regression_attribute
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+ dtype: string
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+ - name: regression_value
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+ dtype: float64
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+ splits:
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+ - name: train
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+ num_examples: 500
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+ - config_name: longCuboidBending3D
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+ features:
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+ - name: family
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+ dtype: string
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+ - name: id
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+ dtype: string
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+ - name: video
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+ dtype: video
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+ - name: regression_attribute
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+ dtype: string
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+ - name: regression_value
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+ dtype: float64
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+ splits:
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+ - name: train
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+ num_examples: 500
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+ - config_name: hyperelasticNeoHookeanCuboid3D
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+ features:
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+ - name: family
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+ dtype: string
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+ - name: id
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+ dtype: string
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+ - name: video
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+ dtype: video
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+ - name: regression_attribute
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+ dtype: string
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+ - name: regression_value
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+ dtype: float64
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+ splits:
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+ - name: train
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+ num_examples: 500
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+ ---
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+
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+ # World Embedding Regression
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+
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+ World Embedding Regression is the physical-property regression dataset from the
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+ [World Embedding Benchmark](https://arxiv.org/pdf/2610.03632). It contains
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+ 5,000 simulation videos across 10 physics families, with 500 examples in each
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+ dataset configuration.
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset(
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+ "World-Representation-Lab/World-Embedding-Regression",
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+ "pendulum",
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+ split="train",
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+ )
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+ ```
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+
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+ ## Fields
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+
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+ - `family`: physics family.
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+ - `id`: unique example identifier.
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+ - `video`: simulation video.
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+ - `regression_attribute`: physical quantity to predict.
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+ - `regression_value`: continuous target value.
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+
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+ The fixed test and scaling splits used by the benchmark are distributed with
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+ the [evaluation code](https://github.com/World-Representation-Lab/World-Embedding-Benchmark).
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{liu2026worldembeddingbenchmark,
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+ title = {World Embedding Benchmark},
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+ author = {Yiqi Liu and Ruifeng Yuan and Yang Wang and Long Li and Fengyu Cai and Hou Pong Chan and Jialin Yu and Hao Zhang and Chenghua Lin and Chenghao Xiao},
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+ year = {2026},
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+ eprint = {2610.03632},
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+ archivePrefix = {arXiv},
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+ primaryClass = {cs.CV},
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+ url = {https://arxiv.org/abs/2610.03632}
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+ }
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+ ```
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