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src/about.py
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@@ -131,7 +131,7 @@ TITLE = """<h1 align="center" id="space-title">🚀 ECREAM-LLM Leaderboard 🚀<
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# What does your leaderboard evaluate?
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INTRODUCTION_TEXT = """
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<br><br><b>The eCream-LLM leaderboard </b>, developed within <a href='https://ecreamproject.eu/'> the eCream Project </a> (enabling Clinical Research in Emergency and Acute care Medicine), is designed to evaluate Large Language Models (LLMs) on
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<br><br>**<small>Generative tasks:</small>** <small> 🏷️NER (Named Entity Recognition), 🔗REL (Relation Extraction), 😃RML(CRF RML) </small>
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<br>**<small>Multiple-choice task:</small>** <small> 🏥DIA (CRF Diagnosis), 📝HIS (CRF History) </small>
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# What does your leaderboard evaluate?
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INTRODUCTION_TEXT = """
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<br><br><b>The eCream-LLM leaderboard </b>, developed within <a href='https://ecreamproject.eu/'> the eCream Project </a> (enabling Clinical Research in Emergency and Acute care Medicine), is designed to evaluate Large Language Models (LLMs) on several tasks pertaining to the medical domain. Its distinguishing features are:<b> <br> (i) all tasks are implemented for six languages including English, Italian, Slovak, Slovenian, Polish and Greek; <br> (ii) the leaderboard includes generative tasks, allowing for a more natural interaction with LLMs; <br> (iii) all tasks are evaluated against multiple prompts, this way mitigating the model sensitivity to specific prompts and allowing a fairer evaluation.</b>
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<br><br>**<small>Generative tasks:</small>** <small> 🏷️NER (Named Entity Recognition), 🔗REL (Relation Extraction), 😃RML(CRF RML) </small>
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<br>**<small>Multiple-choice task:</small>** <small> 🏥DIA (CRF Diagnosis), 📝HIS (CRF History) </small>
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