Update README.md

README.md

@@ -3,13 +3,14 @@ language: eu
 license: cc-by-sa-4.0
 datasets:
 - cc100
+- oscar
 widget:
 - text: "Euria egingo <mask> gaur ?"
 - text: "<mask> umeari liburua eman dio."
 - text: "Zein da zure <mask> ?"
 ---
 
-## RoBERTa Basque x-small model (Uncased)
+## RoBERTa Basque small model (Uncased)
 
 ### Prerequisites
 
@@ -17,7 +18,7 @@ transformers==4.19.2
 
 ### Model architecture
 
-This model uses half the size of RoBERTa base setttings.
+This model uses approximately half the size of RoBERTa base model parameters.
 
 ### Tokenizer
 
@@ -26,12 +27,13 @@ Using BPE tokenizer with vocabulary size 50,000.
 ### Training Data 
 
 * Subset of [CC-100/eu](https://data.statmt.org/cc-100/) : Monolingual Datasets from Web Crawl Data
+* Subset of [oscar](https://huggingface.co/datasets/oscar)
 
 ### Usage
 
 ```python
 from transformers import pipeline
 
-unmasker = pipeline('fill-mask', model='ClassCat/roberta-xsmall-basque')
+unmasker = pipeline('fill-mask', model='ClassCat/roberta-small-basque')
 unmasker("Zein da zure <mask> ?")
 ```