NeuML
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pubmedbert-base-embeddings-2M

Sentence Similarity

sentence-transformers

feature-extraction

static-embeddings

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davidmezzetti commited on Jun 26

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@@ -72,12 +72,11 @@ print(embeddings)
 The following compares performance of this model against the models previously compared with [PubMedBERT Embeddings](https://huggingface.co/NeuML/pubmedbert-base-embeddings#evaluation-results). The following datasets were used to evaluate model performance.
-- [PubMed QA](https://huggingface.co/datasets/pubmed_qa)
   - Subset: pqa_labeled, Split: train, Pair: (question, long_answer)
 - [PubMed Subset](https://huggingface.co/datasets/awinml/pubmed_abstract_3_1k)
   - Split: test, Pair: (title, text)
-  - _Note: The previously used [PubMed Subset](https://huggingface.co/datasets/zxvix/pubmed_subset_new) dataset is no longer available but a similar dataset is used here_
-- [PubMed Summary](https://huggingface.co/datasets/scientific_papers)
   - Subset: pubmed, Split: validation, Pair: (article, abstract)
 The [Pearson correlation coefficient](https://en.wikipedia.org/wiki/Pearson_correlation_coefficient) is used as the evaluation metric.

 The following compares performance of this model against the models previously compared with [PubMedBERT Embeddings](https://huggingface.co/NeuML/pubmedbert-base-embeddings#evaluation-results). The following datasets were used to evaluate model performance.
+- [PubMed QA](https://huggingface.co/datasets/qiaojin/PubMedQA)
   - Subset: pqa_labeled, Split: train, Pair: (question, long_answer)
 - [PubMed Subset](https://huggingface.co/datasets/awinml/pubmed_abstract_3_1k)
   - Split: test, Pair: (title, text)
+- [PubMed Summary](https://huggingface.co/datasets/armanc/scientific_papers)
   - Subset: pubmed, Split: validation, Pair: (article, abstract)
 The [Pearson correlation coefficient](https://en.wikipedia.org/wiki/Pearson_correlation_coefficient) is used as the evaluation metric.