Update README.md

README.md

@@ -17,13 +17,13 @@ pipeline_tag: text-to-speech
 inference: false
 datasets:
 - facebook/multilingual_librispeech
-- PHBJT/cml-tts-cleaned-levenshtein
-- PHBJT/multilingual_librispeech_text_description_capitalized
-- PPHBJT/cml-tts-description-punctuation-and-casing-restored
 - parler-tts/libritts_r_filtered
 - parler-tts/libritts-r-filtered-speaker-descriptions
 - parler-tts/mls_eng
 - parler-tts/mls-eng-speaker-descriptions
+- PHBJT/mls-annotated
+- PHBJT/cml-tts-filtered-annotated
+- PHBJT/cml-tts-filtered
 ---
 
 <img src="https://huggingface.co/datasets/parler-tts/images/resolve/main/thumbnail.png" alt="Parler Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
@@ -37,7 +37,7 @@ datasets:
 
 **Parler-TTS Mini Multilingual v1.1** is a multilingual extension of [Parler-TTS Mini](https://huggingface.co/parler-tts/parler-tts-mini-v1.1).
 
-It is a fine-tuned version, trained on a [cleaned version](https://huggingface.co/datasets/PHBJT/cml-tts-cleaned-levenshtein) of [CML-TTS](https://huggingface.co/datasets/ylacombe/cml-tts) and on the non-English version of [Multilingual LibriSpeech](https://huggingface.co/datasets/facebook/multilingual_librispeech).
+It is a fine-tuned version, trained on a [cleaned version](https://huggingface.co/datasets/PHBJT/cml-tts-filtered) of [CML-TTS](https://huggingface.co/datasets/ylacombe/cml-tts) and on the non-English version of [Multilingual LibriSpeech](https://huggingface.co/datasets/facebook/multilingual_librispeech).
 In all, this represents some 9,200 hours of non-English data. To retain English capabilities, we also added back the [LibriTTS-R English dataset](https://huggingface.co/datasets/parler-tts/libritts_r_filtered), some 580h of high-quality English data.
 
 **Parler-TTS Mini Multilingual** can speak in 7 European languages: English, French, Spanish, Portuguese, Polish, German, Italian and Dutch.