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<em>For more, visit our <a href="https://epic-bench.github.io/EPIC-Bench/">Project Page</a> or <a href="https://huggingface.co/datasets/rxc205/EPIC-Bench">download the dataset</a> to explore the full benchmark locally.</em>
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> **Note:** The files in the `data/` directory are included solely to enable previewing examples in the Hugging Face Dataset Viewer. They are not part of the recommended usage pipeline, and users may safely ignore them when using EPIC-Bench.
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## Download
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EPIC-Bench contains ~35k small files across three task categories. To work around HuggingFace's per-file rate limit and to keep download speed reasonable, the annotations are distributed as **three task-level tarballs** instead of raw folders.
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Download the tarballs from [HuggingFace](https://huggingface.co/datasets/rxc205/EPIC-Bench) (or [ModelScope](https://www.modelscope.cn/datasets/macarich/EPIC-Bench)):
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<em>For more, visit our <a href="https://epic-bench.github.io/EPIC-Bench/">Project Page</a> or <a href="https://huggingface.co/datasets/rxc205/EPIC-Bench">download the dataset</a> to explore the full benchmark locally.</em>
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</p>
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## Download
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> **Note:** The files in the `data/` directory are included solely to enable previewing examples in the Hugging Face Dataset Viewer. They are not part of the recommended usage pipeline, and users may safely ignore them when using EPIC-Bench.
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EPIC-Bench contains ~35k small files across three task categories. To work around HuggingFace's per-file rate limit and to keep download speed reasonable, the annotations are distributed as **three task-level tarballs** instead of raw folders.
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Download the tarballs from [HuggingFace](https://huggingface.co/datasets/rxc205/EPIC-Bench) (or [ModelScope](https://www.modelscope.cn/datasets/macarich/EPIC-Bench)):
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