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license: gpl-3.0
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license: gpl-3.0
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电报地址:https://t.me/vomebook ,有问题请在:https://huggingface.co/datasets/VoiceOfML/MLMRL-Library/discussions 提出。
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友情链接:
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https://github.com/ProletRevDicta/Prolet
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https://github.com/banned-historical-archives/banned-historical-archives.github.io
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https://huggingface.co/datasets/banned-historical-archives/banned-historical-archives
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你可以仅下载指针(只有文件名的信息)
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If you want to clone without large files - just their pointers
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```GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/VoiceOfML/MLMRL-Library```
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此仓库储存各书库备份(91GB):https://huggingface.co/datasets/VoiceOfML/MLMRL-Library/tree/main 。
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另有仓库存储马列之声电子书(867GB。):https://huggingface.co/datasets/VoiceOfML/VOMEBOOK/tree/main 。
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另有仓库存储封禁的苏联资料(194GB。):https://huggingface.co/datasets/VoiceOfML/SovMaterials/tree/main 。
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另有仓库存储的是导师著作(53GB。):https://huggingface.co/datasets/VoiceOfML/Teachers/tree/main 。
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另有仓库储存未现于互联网的日语资料(29GB):https://huggingface.co/datasets/VoiceOfML/Japanese-Materials/tree/main 。
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另有仓库储存珍贵的文化大革命遗留教材(24GB):https://huggingface.co/datasets/VoiceOfML/GPCREducation/tree/main 。
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另有仓库储存推荐书单(2GB。):https://huggingface.co/datasets/VoiceOfML/A-Historical-Learning-Data/tree/main 。
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另有仓库储存未现于互联网的朝鲜语资料:https://huggingface.co/datasets/VoiceOfML/Korea-Materials/tree/main 。
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另有仓库储存OCR数据:https://huggingface.co/datasets/VoiceOfML/RevOCR/tree/main 。
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请巧用“[直接目录.txt](https://huggingface.co/datasets/VoiceOfML/MLMRL-Library/blob/main/%E7%9B%B4%E6%8E%A5%E7%9B%AE%E5%BD%95.txt)”、“[树形目录.txt](https://huggingface.co/datasets/VoiceOfML/MLMRL-Library/blob/main/%E6%A0%91%E5%BD%A2%E7%9B%AE%E5%BD%95.txt)”进行查找工作。
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