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Update README
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README.md
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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.
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- [PubMed QA](https://huggingface.co/datasets/
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- Subset: pqa_labeled, Split: train, Pair: (question, long_answer)
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- [PubMed Subset](https://huggingface.co/datasets/awinml/pubmed_abstract_3_1k)
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- Split: test, Pair: (title, text)
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- [PubMed Summary](https://huggingface.co/datasets/scientific_papers)
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- Subset: pubmed, Split: validation, Pair: (article, abstract)
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The [Pearson correlation coefficient](https://en.wikipedia.org/wiki/Pearson_correlation_coefficient) is used as the evaluation metric.
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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.
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- [PubMed QA](https://huggingface.co/datasets/qiaojin/PubMedQA)
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- Subset: pqa_labeled, Split: train, Pair: (question, long_answer)
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- [PubMed Subset](https://huggingface.co/datasets/awinml/pubmed_abstract_3_1k)
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- Split: test, Pair: (title, text)
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- [PubMed Summary](https://huggingface.co/datasets/armanc/scientific_papers)
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- Subset: pubmed, Split: validation, Pair: (article, abstract)
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The [Pearson correlation coefficient](https://en.wikipedia.org/wiki/Pearson_correlation_coefficient) is used as the evaluation metric.
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