Update README.md

README.md

@@ -26,14 +26,14 @@ The model is intended to generate Haikus. To do so, it was trained using a multi
 
  - topic2graphemes       `(keywords = text)`
  - topic2phonemes        `<keyword_phonemes = text_phonemes>`
- - graphemes2pphonemes   `[text = text_phonemes]`
+ - graphemes2phonemes   `[text = text_phonemes]`
  - phonemes2graphemes    `{text_phonemes = text}`
  
- To use the model, use an appropriate prompt like `(dog rain =` and let the model generate a Haiku given the keyword.
+ To use the model, use an appropriate prompt like `"(dog rain ="` and let the model generate a Haiku given the keyword.
 
 ## Training and evaluation data
 
-More information needed
+We used a collection of existing haikus for training. Furthermore, all haikus were used in their graphemes version as well as a phonemes version. In addition, we extracted key word for all haikus using [KeyBERT](https://github.com/MaartenGr/KeyBERT) and sorted out haikus with a low text quality according to the [GRUEN score](https://github.com/WanzhengZhu/GRUEN).
 
 ## Training procedure