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  license: mit
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+ AugQ-CC is an unsupervised augmented dataset for training retrievers used in `AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation`.
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+ It consists of 52.4M pseudo query-document pairs based on [Pile-CommonCrawl](https://pile.eleuther.ai/paper.pdf).
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+ ```
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+ @article{meng2022augtriever,
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+ title={AugTriever: Unsupervised Dense Retrieval by Scalable Data
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+ Augmentation},
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+ author={Meng, Rui and Liu, Ye and Yavuz, Semih and Agarwal, Divyansh and Tu, Lifu and Yu, Ning and Zhang, Jianguo and Bhat, Meghana and Zhou, Yingbo},
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+ journal={arXiv preprint arXiv:2212.08841},
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+ year={2022}
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+ }
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+ ```