Datasets:
Improve dataset card: Add metadata, paper and code links (#2)
Browse files- Improve dataset card: Add metadata, paper and code links (9b8fbefe0341592ca568b0551802d26d7501d335)
Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>
README.md
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---
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configs:
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- config_name: benchmark
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data_files:
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- split: PAIBenchTransfer
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path: metadata.csv
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language:
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pretty_name: PAI-Bench-Transfer
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---
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# Physical AI Bench - Transfer
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This dataset (Phsical AI benchmark, PAI-Bench) consisting of 600 examples across three key scenarios: robotic arm operations, driving, and ego-centric everyday life scenes, each representing a critical aspect of Physical AI. This dataset is constructed by sampling a number of videos from three different datasets. The specific details are provided below.
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| Dataset | Category | Sample Nums |
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2512.01989},
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}
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```
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---
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language:
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- en
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pretty_name: PAI-Bench-Transfer
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configs:
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- config_name: benchmark
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data_files:
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- split: PAIBenchTransfer
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path: metadata.csv
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task_categories:
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- video-to-video
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license: mit
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---
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# Physical AI Bench - Transfer
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[Paper](https://huggingface.co/papers/2512.01989) | [Code](https://github.com/SHI-Labs/physical-ai-bench)
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This dataset (Phsical AI benchmark, PAI-Bench) consisting of 600 examples across three key scenarios: robotic arm operations, driving, and ego-centric everyday life scenes, each representing a critical aspect of Physical AI. This dataset is constructed by sampling a number of videos from three different datasets. The specific details are provided below.
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| Dataset | Category | Sample Nums |
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2512.01989},
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}
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```
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