Update README.md

README.md

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 ## mHuBERT-147 models
 
-mHuBERT-147 are multilingual general-purpose HuBERT models trained on 90K hours of open-license data in 147 languages.
+mHuBERT-147 are compact and competitive multilingual general-purpose HuBERT models trained on 90K hours of open-license data in 147 languages.
 
 This repository contains:
 * Fairseq checkpoint (original);
@@ -135,17 +135,26 @@ This repository contains:
 
 # Citing
 
-```
+
 [PAPER GOES HERE]
-'''
 
-# Other information
 
-**Languages present not indexed by Huggingface:** Asturian (ast), Basaa (bas), Cebuano (ceb), Central Kurdish/Sorani (ckb), Hakha Chin (cnh), Hawaiian (haw), Upper Sorbian (hsb) Kabyle (kab), Moksha (mdf), Meadow Mari (mhr), Hill Mari (mrj), Erzya (myv), Taiwanese Hokkien (nan-tw), Sursilvan (rm-sursilv), Vallader (rm-vallader), Sakha (sah), Santali (sat), Scots (sco), Saraiki (skr), Tigre (tig), Tok Pisin (tpi), Akwapen Twi (tw-akuapem), Asante Twi (tw-asante), Votic (vot), Waray (war), Cantonese (yue).
+# Additional Information
+
 
 **Manifest list:** https://huggingface.co/utter-project/mHuBERT-147-base-3rd-iter/tree/main/manifest
 
-**Datasets:** For ASR/ST/TTS datasets, only train set is used.
+Please note that since training, there were CommonVoice removal requests. This means that some of the listed files are no longer available.
+
+**Fairseq fork:** https://github.com/utter-project/fairseq
+
+**Scripts for pre-processing/faiss clustering:** https://github.com/utter-project/mHuBERT-147-scripts
+
+**Languages present not indexed by Huggingface:** Asturian (ast), Basaa (bas), Cebuano (ceb), Central Kurdish/Sorani (ckb), Hakha Chin (cnh), Hawaiian (haw), Upper Sorbian (hsb) Kabyle (kab), Moksha (mdf), Meadow Mari (mhr), Hill Mari (mrj), Erzya (myv), Taiwanese Hokkien (nan-tw), Sursilvan (rm-sursilv), Vallader (rm-vallader), Sakha (sah), Santali (sat), Scots (sco), Saraiki (skr), Tigre (tig), Tok Pisin (tpi), Akwapen Twi (tw-akuapem), Asante Twi (tw-asante), Votic (vot), Waray (war), Cantonese (yue).
+
+# Datasets Included
+
+For ASR/ST/TTS datasets, only train set is used.
 * [Aishell](https://www.openslr.org/33/) and [AISHELL-3](https://www.openslr.org/93/)
 * [BibleTTS](https://www.openslr.org/129/)
 * [ClovaCall](https://github.com/clovaai/ClovaCall)