Update README.md

README.md

@@ -61,7 +61,7 @@ print(embeddings)
 
 
 ## Evaluation
-The model can be evaluated as follows on the Vienamese data of stsb.
+The model can be evaluated as follows on the [Vienamese data of stsb](https://huggingface.co/datasets/doanhieung/vi-stsbenchmark).
 
 ```python
 from sentence_transformers import SentenceTransformer
@@ -107,7 +107,7 @@ The performance is measured using Pearson and Spearman correlation:
 | [keepitreal/vietnamese-sbert](https://huggingface.co/keepitreal/vietnamese-sbert) | 84.51 | 84.44|135M |
 | [bkai-foundation-models/vietnamese-bi-encoder](https://huggingface.co/bkai-foundation-models/vietnamese-bi-encoder) | 78.05 | 77.94|135M |
 
-### Metric for all dataset of [Semantic Textual Similarity on STS Benchmark](https://huggingface.co/datasets/doanhieung/vi-stsbenchmark)
+### Metric for all dataset of [Semantic Textual Similarity on STS Benchmark](https://huggingface.co/datasets/anti-ai/ViSTS)
 You can run an evaluation on this [Colab](https://colab.research.google.com/drive/1JZLWKiknSUnA92UY2RIhvS65WtP6sgqW?hl=fr#scrollTo=IkTAwPqxDTOK)
 
 **Pearson score**