wadood commited on
Commit
97d89f5
1 Parent(s): ec3d4c4

updated logo and logs

Browse files
Files changed (2) hide show
  1. src/about.py +1 -1
  2. src/leaderboard/read_evals.py +5 -4
src/about.py CHANGED
@@ -45,7 +45,7 @@ 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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- 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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  # What does your leaderboard evaluate?
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  INTRODUCTION_TEXT = """
 
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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://huggingface.co/spaces/m42-health/clinical_ner_leaderboard/resolve/main/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 = """
src/leaderboard/read_evals.py CHANGED
@@ -134,10 +134,11 @@ class EvalResult:
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  self.date = request.get("submitted_time", "")
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  # self.precision = request.get("precision", "float32")
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  except Exception:
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- print(
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- f"Could not find request file for {self.org}/{self.model} with precision {self.precision.value.name}"
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- )
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- print(f" Args used were - {request_file=}, {requests_path=}, {self.full_model=},")
 
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  def to_dict(self, subset):
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  """Converts the Eval Result to a dict compatible with our dataframe display"""
 
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  self.date = request.get("submitted_time", "")
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  # self.precision = request.get("precision", "float32")
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  except Exception:
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+ pass
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+ # print(
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+ # f"Could not find request file for {self.org}/{self.model} with precision {self.precision.value.name}"
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+ # )
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+ # print(f" Args used were - {request_file=}, {requests_path=}, {self.full_model=},")
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  def to_dict(self, subset):
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  """Converts the Eval Result to a dict compatible with our dataframe display"""