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@@ -45,4 +45,44 @@ configs:
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  language:
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  - en
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  - zh
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  language:
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  - en
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  - zh
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+ ---
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+
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+ This is an unofficial mirror of the human text dataset source used for our [MAGA](https://huggingface.co/datasets/anyangsong/MAGA).
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+
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+ | domain | source |
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+ |-----------------------|------------------------------------------------------------------------|
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+ | Reddit | https://huggingface.co/datasets/sentence-transformers/reddit-title-body |
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+ | S2ORC | https://huggingface.co/datasets/sentence-transformers/s2orc |
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+ | Wikipedia | https://huggingface.co/datasets/aadityaubhat/GPT-wiki-intro |
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+ | wikiHow | https://modelscope.cn/datasets/sentence-transformers/wikihow |
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+ | Trustpilot | https://huggingface.co/datasets/Kerassy/trustpilot-reviews-123k |
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+ | Amazon Reviews | https://huggingface.co/datasets/sentence-transformers/amazon-reviews |
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+ | Yahoo Answers | https://huggingface.co/datasets/sentence-transformers/yahoo-answers |
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+ | Natural Questions | https://huggingface.co/datasets/sentence-transformers/natural-questions |
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+ | CC News | https://huggingface.co/datasets/sentence-transformers/ccnews |
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+ | NPR News | https://huggingface.co/datasets/sentence-transformers/npr |
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+ | Baidu Tieba (百度贴吧) | https://huggingface.co/datasets/HongzheBi/DuReader2.0 |
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+ | Weibo Review(微博评论)| https://huggingface.co/datasets/LZYFirecn/weibo-hot-search |
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+ | Rednote Review(小红书评论)| https://huggingface.co/datasets/Jingyi77/CHASM-Covert_Advertisement_on_RedNote |
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+ | CSL(中文核心期刊摘要) | https://github.com/ydli-ai/CSL |
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+ | Baidu Baike (百度百科) | https://huggingface.co/datasets/lars1234/baidu-baike-dataset |
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+ | Dianping(大众点评) | https://huggingface.co/datasets/twn39/dianping |
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+ | Douban Review (豆瓣评论) | https://huggingface.co/datasets/dirtycomputer/douban_movie_review |
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+ | Baidu Zhidao (百度知道) | https://huggingface.co/datasets/HongzheBi/DuReader2.0 |
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+ | Zhihu(知乎) | https://huggingface.co/datasets/suolyer/zhihu |
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+ | CLTS(澎湃新闻) | https://github.com/lxj5957/CLTS-Dataset |
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+
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+ ## Citation
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+
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+ If you find MAGA useful for your research and applications, please cite using the Bibtex:
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+ ```latex
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+ @misc{song2026maga,
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+ title={MAGA-Bench: Machine-Augment-Generated Text via Alignment Detection Benchmark},
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+ author={Anyang Song and Ying Cheng and Yiqian Xu and Rui Feng},
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+ year={2026},
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+ eprint={2601.04633},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2601.04633},
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+ }
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+ ```