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 Muliwai (pronounced: mu-lee-why, meaning river in Hawaiian) is a library for text pre-processing, augmentation, anonymization, and synthesis. It is intended to be used to process text datasets for training NLP models.
 
 # What is it
-Muliwai was written in part to support the privacy data-tooling efforts of the BigScience workshop, but has grown beyond this. There are several utilities for performing NER and assocaited augmentation and anonymization. In theory, Muliwai can do NER in most of the languages supported by XLMRoberta & M2M100 (100+ languages). However, we have not tested various languages beyond: ar, ur, bn, hi, eu, ca, vi, zh, fr, id, es, pt,  sw, yo. 
+Muliwai was written in part to support the privacy data-tooling efforts of the BigScience workshop(https://github.com/bigscience-workshop/data_tooling) and the PII hackathon conducted by the AISC community (https://github.com/Aggregate-Intellect/bigscience_aisc_pii_detection), but has grown beyond this. There are several utilities for performing NER and assocaited augmentation and anonymization. In theory, Muliwai can do NER in most of the languages supported by XLMRoberta & M2M100 (100+ languages). However, we have not tested various languages beyond: ar, ur, bn, hi, eu, ca, vi, zh, fr, id, es, pt,  sw, yo. 
 
 There are other features, and we will create documentation soon...