AugQ-Wiki is an unsupervised augmented dataset for training retrievers used in AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation. It consists of 22.6M pseudo query-document pairs based on Wikipedia.
It follows the same license of Wikipedia (Creative Commons Attribution-Share-Alike License 3.0).
```
@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}
}
```
task_categories:text-retrieval size_categories:10M<n<100M license:cc-by-sa-3.0 region:us
{"license": "cc-by-sa-3.0", "size_categories": ["10M<n<100M"], "task_categories": ["text-retrieval"]}
TAGS
#task_categories-text-retrieval #size_categories-10M<n<100M #license-cc-by-sa-3.0 #region-us 

AugQ-Wiki is an unsupervised augmented dataset for training retrievers used in AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation. It consists of 22.6M pseudo query-document pairs based on Wikipedia.
It follows the same license of Wikipedia (Creative Commons Attribution-Share-Alike License 3.0).

TAGS
#task_categories-text-retrieval #size_categories-10M<n<100M #license-cc-by-sa-3.0 #region-us 

passage: TAGS
#task_categories-text-retrieval #size_categories-10M<n<100M #license-cc-by-sa-3.0 #region-us 
