Update README.md

README.md

@@ -329,7 +329,7 @@ widget:
     ምንም አይነት ችግር እንደሌለና በአሁኑ ወቅት በጥሩ ሁኔታ ላይ እንደሚገኙም አስረድተዋል።የሃገር መከላከያ ሠራዊት እያከናወነ
     ባለው ዘመቻ የትግራይ ልዩ ኃይልና ሚሊሻ አባላት በቁጥጥር ስር እየዋሉ መሆኑን ኢዜአ ዘግቧል።
 datasets:
-- rasyosef/amharic-news-retrieval-dataset
+- rasyosef/amharic-passage-retrieval-dataset
 pipeline_tag: sentence-similarity
 library_name: sentence-transformers
 metrics:
@@ -459,7 +459,7 @@ model-index:
 
 # RoBERTa Amharic Text Embedding Medium
 
-This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [rasyosef/roberta-medium-amharic](https://huggingface.co/rasyosef/roberta-medium-amharic) on the [amharic-news-retrieval-dataset](https://huggingface.co/datasets/rasyosef/amharic-news-retrieval-dataset) dataset. It maps sentences & paragraphs to a 512-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
+This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [rasyosef/roberta-medium-amharic](https://huggingface.co/rasyosef/roberta-medium-amharic) on the [amharic-passage-retrieval-dataset](https://huggingface.co/datasets/rasyosef/amharic-passage-retrieval-dataset) dataset. It maps sentences & paragraphs to a 512-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
 
 ## Model Details
 
@@ -624,7 +624,7 @@ You can finetune this model on your own dataset.
 
 #### amharic-news-retrieval-dataset
 
-* Dataset: [amharic-news-retrieval-dataset](https://huggingface.co/datasets/rasyosef/amharic-news-retrieval-dataset) at [3ef7092](https://huggingface.co/datasets/rasyosef/amharic-news-retrieval-dataset/tree/3ef7092c24f5494b79b09e0264b73528044c1c03)
+* Dataset: [amharic-passage-retrieval-dataset](https://huggingface.co/datasets/rasyosef/amharic-passage-retrieval-dataset) at [3ef7092](https://huggingface.co/datasets/rasyosef/amharic-passage-retrieval-dataset/tree/3ef7092c24f5494b79b09e0264b73528044c1c03)
 * Size: 40,237 training samples
 * Columns: <code>anchor</code> and <code>positive</code>
 * Approximate statistics based on the first 1000 samples: