Update README

README.md

@@ -95,33 +95,33 @@ Performance of this model compared to the top base models on the [MTEB leaderboa
 
 The following datasets were used to evaluate model performance.
 
-- [PubMed QA](https://huggingface.co/datasets/pubmed_qa)
+- [PubMed QA](https://huggingface.co/datasets/qiaojin/PubMedQA)
   - Subset: pqa_labeled, Split: train, Pair: (question, long_answer)
-- [PubMed Subset](https://huggingface.co/datasets/zxvix/pubmed_subset_new)
+- [PubMed Subset](https://huggingface.co/datasets/awinml/pubmed_abstract_3_1k)
   - Split: test, Pair: (title, text)
-- [PubMed Summary](https://huggingface.co/datasets/scientific_papers)
+- [PubMed Summary](https://huggingface.co/datasets/armanc/scientific_papers)
   - Subset: pubmed, Split: validation, Pair: (article, abstract)
 
 Evaluation results from the original model are shown below for reference. The [Pearson correlation coefficient](https://en.wikipedia.org/wiki/Pearson_correlation_coefficient) is used as the evaluation metric.
 
 | Model                                                                         | PubMed QA | PubMed Subset | PubMed Summary | Average   |
 | ----------------------------------------------------------------------------- | --------- | ------------- | -------------- | --------- | 
-| [all-MiniLM-L6-v2](https://hf.co/sentence-transformers/all-MiniLM-L6-v2)      | 90.40     | 95.86         | 94.07          | 93.44     | 
-| [bge-base-en-v1.5](https://hf.co/BAAI/bge-large-en-v1.5)                      | 91.02     | 95.60         | 94.49          | 93.70     | 
-| [gte-base](https://hf.co/thenlper/gte-base)                                   | 92.97     | 96.83         | 96.24          | 95.35     | 
-| [**pubmedbert-base-embeddings**](https://hf.co/neuml/pubmedbert-base-embeddings) | **93.27** | **97.07**     | **96.58**      | **95.64** |
-| [S-PubMedBert-MS-MARCO](https://hf.co/pritamdeka/S-PubMedBert-MS-MARCO)       | 90.86     | 93.33         | 93.54          | 92.58     | 
+| [all-MiniLM-L6-v2](https://hf.co/sentence-transformers/all-MiniLM-L6-v2)           | 90.40     | 95.92         | 94.07          | 93.46     |
+| [bge-base-en-v1.5](https://hf.co/BAAI/bge-base-en-v1.5)                            | 91.02     | 95.82         | 94.49          | 93.78     |
+| [gte-base](https://hf.co/thenlper/gte-base)                                        | 92.97     | 96.90         | 96.24          | 95.37     |
+| [**pubmedbert-base-embeddings**](https://hf.co/neuml/pubmedbert-base-embeddings) | **93.27** | **97.00**     | **96.58**      | **95.62** |
+| [S-PubMedBert-MS-MARCO](https://hf.co/pritamdeka/S-PubMedBert-MS-MARCO)            | 90.86     | 93.68         | 93.54          | 92.69     |
 
 See the table below for evaluation results per dimension for `pubmedbert-base-embeddings-matryoshka`.
 
 | Model               | PubMed QA | PubMed Subset | PubMed Summary | Average   |
 | --------------------| --------- | ------------- | -------------- | --------- | 
-| Dimensions =  64    | 92.16     | 95.85         | 95.67          | 94.56     | 
-| Dimensions = 128    | 92.80     | 96.44         | 96.22          | 95.15     | 
-| Dimensions = 256    | 93.11     | 96.68         | 96.53          | 95.44     | 
-| Dimensions = 384    | 93.42     | 96.79         | 96.61          | 95.61     | 
-| Dimensions = 512    | 93.37     | 96.87         | 96.61          | 95.62     | 
-| **Dimensions = 768**    | **93.53**     | **96.95**         | **96.70**          | **95.73**     | 
+| Dimensions =  64    | 92.16     | 96.14         | 95.67          | 94.66     |
+| Dimensions = 128    | 92.80     | 96.58         | 96.22          | 95.20     |
+| Dimensions = 256    | 93.11     | 96.82         | 96.53          | 95.49     |
+| Dimensions = 384    | 93.42     | 97.00         | 96.61          | 95.68     |
+| Dimensions = 512    | 93.37     | 97.07         | 96.61          | 95.68     |
+| **Dimensions = 768**    | **93.53**     | **97.13**         | **96.70**          | **95.79**     |
 
 This model performs slightly better overall compared to the original model.