Update README.md

README.md

@@ -17,7 +17,14 @@ widget:
 
 # wav2vec2-xls-r-parlaspeech-hr-lm
 
-This model for Croatian ASR is based on the [facebook/wav2vec2-xls-r-300m model](https://huggingface.co/facebook/wav2vec2-xls-r-300m) and was fine-tuned with 300 hours of recordings and transcripts from the ASR Croatian parliament dataset [ParlaSpeech-HR v1.0](http://hdl.handle.net/11356/1494).
+This model for Croatian ASR is based on the 
+[facebook/wav2vec2-xls-r-300m model](https://huggingface.co/facebook/wav2vec2-xls-r-300m) 
+and was fine-tuned with 300 hours of recordings and transcripts from the ASR 
+Croatian parliament dataset [ParlaSpeech-HR v1.0](http://hdl.handle.net/11356/1494).
+
+<div style="border: 5px solid #ff6700;  padding: 10px; margin: 10px 0;">
+  <strong>Notice:</strong> ParlaSpeech corpora are currently in the process of enrichment with new features. Follow our progress here: <a href="http://clarinsi.github.io/parlaspeech">http://clarinsi.github.io/parlaspeech</a>
+</div>
 
 If you use this model, please cite the following paper:
 ```
@@ -42,7 +49,8 @@ Evaluation is performed on the dev and test portions of the [ParlaSpeech-HR v1.0
 |dev|0.0448|0.1129|
 |test|0.0363|0.0985|
 
-There are multiple models available, and in terms of CER and WER, the best-performing model is [wav2vec2-large-slavic-parlaspeech-hr-lm](https://huggingface.co/classla/wav2vec2-large-slavic-parlaspeech-hr-lm).
+There are multiple models available, and in terms of CER and WER, the best-performing model 
+is [wav2vec2-large-slavic-parlaspeech-hr-lm](https://huggingface.co/classla/wav2vec2-large-slavic-parlaspeech-hr-lm).
 
 ## Usage in `transformers`