Update README.md

README.md

@@ -17,15 +17,17 @@ widget:
 [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) (BERT Checkpoint)
 
 ## Dataset
+**MLSUM** is the first large-scale MultiLingual SUMmarization dataset. Obtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages -- namely, French, German, Spanish, Russian, **Turkish**. Together with English newspapers from the popular CNN/Daily mail dataset, the collected data form a large scale multilingual dataset which can enable new research directions for the text summarization community. We report cross-lingual comparative analyses based on state-of-the-art systems. These highlight existing biases which motivate the use of a multi-lingual dataset.
+
 [MLSUM tu/tr](https://huggingface.co/datasets/viewer/?dataset=mlsum)
 
 ## Results
 
 |Set|Metric| Value|
 |----|------|------|
-| Test  |Rouge2 - mid -precision | 32.41|
-| Test | Rouge2 - mid - recall | 28.65|
-| Test | Rouge2 - mid - fmeasure | 29.48|
+| Test  |Rouge2 - mid -precision | **32.41**|
+| Test | Rouge2 - mid - recall | **28.65**|
+| Test | Rouge2 - mid - fmeasure | **29.48**|
 
 ## Usage
 
@@ -45,7 +47,10 @@ def generate_summary(text):
     output = model.generate(input_ids, attention_mask=attention_mask)
     return tokenizer.decode(output[0], skip_special_tokens=True)
     
-
 text = "Your text here..."
 generate_summary(text)
+```
+
+> Created by [Manuel Romero/@mrm8488](https://twitter.com/mrm8488) with the support of [Narrativa](https://www.narrativa.com/)
+> Made with <span style="color: #e25555;">&hearts;</span> in Spain