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@@ -32,9 +32,9 @@ This dataset has been extracted from [Europe PMC (EPMC)](https://europepmc.org/)
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  ## Dataset Details
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- The dataset focuses on mentions of cell lines and related entities in biomedical text, making it a valuable resource for advancing natural language processing (NLP) tasks in the biomedical domain.
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- ### Intended Uses: NLP Tasks Supported
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  - **Named Entity Recognition (NER**):
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  Identify and classify mentions of cell lines or related entities appearing in biomedical contexts.
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  ## Dataset Details
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+ The dataset focuses on mentions of cell lines and related entities in biomedical text, such as cell types, related disease mentions, genes proteins etc. This makes it a valuable resource as it can be used for(but not limited to) the following downstream natural language processing (NLP) tasks in the biomedical domain.
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+ ### NLP Tasks
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  - **Named Entity Recognition (NER**):
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  Identify and classify mentions of cell lines or related entities appearing in biomedical contexts.
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