diff --git a/site/en/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder_lite.ipynb b/site/en/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder_lite.ipynb
index 78d4eebadb..2345c91ff7 100644
--- a/site/en/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder_lite.ipynb
+++ b/site/en/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder_lite.ipynb
@@ -366,7 +366,7 @@
       "source": [
         "## Evaluation: STS (Semantic Textual Similarity) Benchmark\n",
         "\n",
-        "The [**STS Benchmark**](https://ixa2.si.ehu.es/stswiki/index.php/STSbenchmark) provides an intristic evaluation of the degree to which similarity scores computed using sentence embeddings align with human judgements. The benchmark requires systems to return similarity scores for a diverse selection of sentence pairs. [Pearson correlation](https://en.wikipedia.org/wiki/Pearson_correlation_coefficient) is then used to evaluate the quality of the machine similarity scores against human judgements."
+        "The [**STS Benchmark**](https://ixa2.si.ehu.eus/stswiki/stswiki.html#STS_benchmark) provides an intristic evaluation of the degree to which similarity scores computed using sentence embeddings align with human judgements. The benchmark requires systems to return similarity scores for a diverse selection of sentence pairs. [Pearson correlation](https://en.wikipedia.org/wiki/Pearson_correlation_coefficient) is then used to evaluate the quality of the machine similarity scores against human judgements."
       ]
     },
     {