wadood commited on
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ec3d4c4
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1 Parent(s): e4970fb

updating logo link

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  1. src/about.py +3 -1
src/about.py CHANGED
@@ -44,7 +44,9 @@ NUM_FEWSHOT = 0 # Change with your few shot
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  # Your leaderboard name
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  TITLE = """""" #<h1 align="center" id="space-title"> NER Leaderboard</h1>"""
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- LOGO = """<img src="file/assets/image.png" alt="Clinical X HF" width="500" height="333">"""
 
 
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  # What does your leaderboard evaluate?
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  INTRODUCTION_TEXT = """
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  The main goal of the Named Clinical Entity Recognition Leaderboard is to evaluate and benchmark the performance of various language models in accurately identifying and classifying named clinical entities across diverse medical domains. This task is crucial for advancing natural language processing (NLP) applications in healthcare, as accurate entity recognition is foundational for tasks such as information extraction, clinical decision support, and automated documentation.
 
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  # Your leaderboard name
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  TITLE = """""" #<h1 align="center" id="space-title"> NER Leaderboard</h1>"""
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+ # LOGO = """<img src="file/assets/image.png" alt="Clinical X HF" width="500" height="333">"""
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+ LOGO = """<img src="https://github.com/WadoodAbdul/clinical_ner_benchmark/blob/master/docs/assets/logo.png" alt="Clinical X HF" width="500" height="333">"""
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+
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  # What does your leaderboard evaluate?
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  INTRODUCTION_TEXT = """
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  The main goal of the Named Clinical Entity Recognition Leaderboard is to evaluate and benchmark the performance of various language models in accurately identifying and classifying named clinical entities across diverse medical domains. This task is crucial for advancing natural language processing (NLP) applications in healthcare, as accurate entity recognition is foundational for tasks such as information extraction, clinical decision support, and automated documentation.