World-Representation-Lab/World-Embedding-Regression
World Embedding Regression World Embedding Regression is the physical-property regression dataset from the World Embedding Benchmark. It contains 5,000 simulation videos across 10 physics families, with 500 examples in each dataset configuration. Usage from datasets import load_dataset dataset = load_dataset( "World-Representation-Lab/World-Embedding-Regression", "pendulum", split="test", ) Fields family: physics family. id: unique… See the full description on the dataset page: https://huggingface.co/datasets/World-Representation-Lab/World-Embedding-Regression.
| Author / organization | World-Representation-Lab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 233 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 5 October 2026 |
| Last updated at source | 5 October 2026 |
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- World Embedding BenchmarkPaper · cites
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