Datasets:
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>ClimbMix is a compact yet powerful 400-billion-token dataset designed for efficient pre-training that delivers superior performance under an equal token budget. It was introduced in [this paper](https://huggingface.co/papers/2504.13161).
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We proposed a new algorithm to filter and mix the dataset. First, we grouped the data into 1,000 groups based on topic information. Then we applied two classifiers: one to detect advertisements and another to assess the educational value of the text. Each group was scored accordingly, and low-quality data with low scores was removed. Finally, the remaining high-quality groups were mixed using certain weights to generate the final dataset.
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license: cc-by-nc-4.0
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task_categories:
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- text-generation
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language:
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- en
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[ClimbMix](https://huggingface.co/datasets/nvidia/ClimbMix) is a high-quality pre-training corpus released by NVIDIA. Here is the description:
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>ClimbMix is a compact yet powerful 400-billion-token dataset designed for efficient pre-training that delivers superior performance under an equal token budget. It was introduced in [this paper](https://huggingface.co/papers/2504.13161).
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We proposed a new algorithm to filter and mix the dataset. First, we grouped the data into 1,000 groups based on topic information. Then we applied two classifiers: one to detect advertisements and another to assess the educational value of the text. Each group was scored accordingly, and low-quality data with low scores was removed. Finally, the remaining high-quality groups were mixed using certain weights to generate the final dataset.
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