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@ -514,7 +514,7 @@ quality(当然也还不算high,提升数据质量无止尽)。
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> [!NOTE]
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> [!NOTE]
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> 2025-02-05后,开源MiniMind最终训练所用的所有数据集,因此无需再自行预处理大规模数据集,避免重复性的数据处理工作。
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> 2025-02-05后,开源MiniMind最终训练所用的所有数据集,因此无需再自行预处理大规模数据集,避免重复性的数据处理工作。
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MiniMind训练数据集下载地址: [HuggingFace](https://huggingface.co/datasets/jingyaogong/minimind_dataset/tree/main)
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MiniMind训练数据集下载地址: [ModelScope](https://www.modelscope.cn/datasets/gongjy/minimind_dataset/files) | [HuggingFace](https://huggingface.co/datasets/jingyaogong/minimind_dataset/tree/main)
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> 无需全部clone,可单独下载所需的文件
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> 无需全部clone,可单独下载所需的文件
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@ -563,9 +563,8 @@ Big respect!
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> After `2025-02-05`, MiniMind’s open-source datasets for final training are provided, so there is no need for
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> After `2025-02-05`, MiniMind’s open-source datasets for final training are provided, so there is no need for
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> you to preprocess large datasets by yourself anymore. This helps avoid redundant work.
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> you to preprocess large datasets by yourself anymore. This helps avoid redundant work.
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MiniMind Training Datasets are available for download from:
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Available for download from:
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[ModelScope](https://www.modelscope.cn/datasets/gongjy/minimind_dataset/files) | [HuggingFace](https://huggingface.co/datasets/jingyaogong/minimind_dataset/tree/main)
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MiniMind Dataset ([HuggingFace](https://huggingface.co/datasets/jingyaogong/minimind_dataset/tree/main))
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> You don’t need to clone everything, just download the necessary files.
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> You don’t need to clone everything, just download the necessary files.
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