Update README.md

README.md

@@ -11,7 +11,6 @@ pipeline_tag: token-classification
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
 
 ## Model Details
 
@@ -54,7 +53,7 @@ example_sentence = "Caperucita Roja put rocks en el estómago de la del perro."
 
 spanglish_tagger.predict(example_sentence)
 
-for token in flair_sentence:
+for token in example_sentence:
     word = token.text
     upos_tag = token.labels[0] # there will only be one label per token
     print(f'The predicted UPOS tag for {word} is {upos_tag.value} with confidence of {upos_tag.score}')
@@ -96,7 +95,9 @@ Use the code below to get started with the model.
 
 <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
 
-[More Information Needed]
+[The Bilinguals in the Midwest Corpus](https://aclanthology.org/2022.lrec-1.590/)
+
+A subset of the [Bangor Miami Corpus](http://bangortalk.org.uk/speakers.php?c=miami)
 
 ### Training Procedure