Fabian Wolf commited on
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Update Name, citation

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  1. src/about.py +14 -33
src/about.py CHANGED
@@ -19,9 +19,8 @@ NUM_FEWSHOT = 0 # Change with your few shot
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  # ---------------------------------------------------
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-
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  # Your leaderboard name
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- TITLE = """<h1 align="center" id="space-title">Demo leaderboard</h1>"""
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  # What does your leaderboard evaluate?
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  INTRODUCTION_TEXT = """
@@ -29,44 +28,26 @@ This Leaderboards compares the performance of LLM models regarding multiple info
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  """
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  # Which evaluations are you running? how can people reproduce what you have?
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- LLM_BENCHMARKS_TEXT = f"""
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  ## How it works
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- ## Reproducibility
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- To reproduce our results, here is the commands you can run:
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-
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- """
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-
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- EVALUATION_QUEUE_TEXT = """
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- ## Some good practices before submitting a model
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- ### 1) Make sure you can load your model and tokenizer using AutoClasses:
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- ```python
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- from transformers import AutoConfig, AutoModel, AutoTokenizer
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- config = AutoConfig.from_pretrained("your model name", revision=revision)
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- model = AutoModel.from_pretrained("your model name", revision=revision)
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- tokenizer = AutoTokenizer.from_pretrained("your model name", revision=revision)
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- ```
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- If this step fails, follow the error messages to debug your model before submitting it. It's likely your model has been improperly uploaded.
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- Note: make sure your model is public!
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- Note: if your model needs `use_remote_code=True`, we do not support this option yet but we are working on adding it, stay posted!
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- ### 2) Convert your model weights to [safetensors](https://huggingface.co/docs/safetensors/index)
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- It's a new format for storing weights which is safer and faster to load and use. It will also allow us to add the number of parameters of your model to the `Extended Viewer`!
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- ### 3) Make sure your model has an open license!
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- This is a leaderboard for Open LLMs, and we'd love for as many people as possible to know they can use your model 🤗
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- ### 4) Fill up your model card
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- When we add extra information about models to the leaderboard, it will be automatically taken from the model card
 
 
 
 
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- ## In case of model failure
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- If your model is displayed in the `FAILED` category, its execution stopped.
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- Make sure you have followed the above steps first.
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- If everything is done, check you can launch the EleutherAIHarness on your model locally, using the above command without modifications (you can add `--limit` to limit the number of examples per task).
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- """
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- CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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- CITATION_BUTTON_TEXT = r"""KatherLab 2024
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  """
 
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  # ---------------------------------------------------
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  # Your leaderboard name
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+ TITLE = """<h1 align="center" id="space-title">KatherLab Medical LLM Leaderboard</h1>"""
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  # What does your leaderboard evaluate?
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  INTRODUCTION_TEXT = """
 
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  """
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  # Which evaluations are you running? how can people reproduce what you have?
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+ LLM_BENCHMARKS_TEXT = """
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  ## How it works
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+ We created multiple benchmark experiments. We use llama-cpp with restricted generations to evaluate LLM models on medical text.
 
 
 
 
 
 
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+ ## Reproducibility
 
 
 
 
 
 
 
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+ As of right now, the evaluation datasets are not publicly available. Please reach out to us if you have any questions.
 
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+ """
 
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+ CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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+ CITATION_BUTTON_TEXT = r"""Wiest, I. C., Wolf, F., Leßmann, M.-E., van Treeck, M., Ferber, D., Zhu, J., Boehme, H., Bressem, K. K., Ulrich, H., Ebert, M. P., & Kather, J. N. (2024). LLM-AIx: An open source pipeline for Information Extraction from unstructured medical text based on privacy preserving Large Language Models. https://doi.org/10.1101/2024.09.02.24312917
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+ @misc{Wiest_Wolf_Leßmann_van Treeck_Ferber_Zhu_Boehme_Bressem_Ulrich_Ebert_et al._2024,
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+ title={LLM-AIx: An open source pipeline for Information Extraction from unstructured medical text based on privacy preserving Large Language Models},
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+ url={http://dx.doi.org/10.1101/2024.09.02.24312917},
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+ DOI={10.1101/2024.09.02.24312917},
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+ author={Wiest, Isabella Catharina and Wolf, Fabian and Leßmann, Marie-Elisabeth and van Treeck, Marko and Ferber, Dyke and Zhu, Jiefu and Boehme, Heiko and Bressem, Keno K. and Ulrich, Hannes and Ebert, Matthias P. and Kather, Jakob Nikolas},
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+ year={2024}, month=sep }
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  """