AugQ-CC is an unsupervised augmented dataset for training retrievers used in `AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation`.
It consists of 52.4M pseudo query-document pairs based on [Pile-CommonCrawl](https://pile.eleuther.ai/paper.pdf).

```
@article{meng2022augtriever,
  title={AugTriever: Unsupervised Dense Retrieval by Scalable Data
Augmentation},
  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},
  journal={arXiv preprint arXiv:2212.08841},
  year={2022}
}
```
license:mit region:us
{"license": "mit"}
TAGS
#license-mit #region-us 

AugQ-CC is an unsupervised augmented dataset for training retrievers used in 'AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation'.
It consists of 52.4M pseudo query-document pairs based on Pile-CommonCrawl.


TAGS
#license-mit #region-us 

passage: TAGS
#license-mit #region-us 
