ZeroCommand commited on
Commit
c7bef08
1 Parent(s): 947816c

allow unselect filters

Browse files
Files changed (2) hide show
  1. app_leaderboard.py +4 -2
  2. wordings.py +7 -0
app_leaderboard.py CHANGED
@@ -29,6 +29,7 @@ def get_model_ids(ds):
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  models = ds["model_id"].tolist()
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  # return unique elements in the list model_ids
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  model_ids = list(set(models))
 
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  return model_ids
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@@ -36,6 +37,7 @@ def get_dataset_ids(ds):
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  logging.info(f"Dataset {ds} column names: {ds['dataset_id']}")
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  datasets = ds["dataset_id"].tolist()
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  dataset_ids = list(set(datasets))
 
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  return dataset_ids
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@@ -121,9 +123,9 @@ def get_demo():
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  df = records[(records["task"] == task)]
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  # filter the table based on the model_id and dataset_id
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  if model_id:
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- df = records[(records["model_id"] == model_id)]
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  if dataset_id:
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- df = records[(records["dataset_id"] == dataset_id)]
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  # filter the table based on the columns
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  df = df[columns]
 
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  models = ds["model_id"].tolist()
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  # return unique elements in the list model_ids
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  model_ids = list(set(models))
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+ model_ids.insert(0, None)
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  return model_ids
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  logging.info(f"Dataset {ds} column names: {ds['dataset_id']}")
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  datasets = ds["dataset_id"].tolist()
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  dataset_ids = list(set(datasets))
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+ dataset_ids.insert(0, None)
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  return dataset_ids
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  df = records[(records["task"] == task)]
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  # filter the table based on the model_id and dataset_id
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  if model_id:
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+ df = df[(df['model_id'] == model_id)]
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  if dataset_id:
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+ df = df[(df['dataset_id'] == dataset_id)]
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  # filter the table based on the columns
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  df = df[columns]
wordings.py CHANGED
@@ -20,3 +20,10 @@ CONFIRM_MAPPING_DETAILS_FAIL_MD = """
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  CONFIRM_MAPPING_DETAILS_FAIL_RAW = """
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  Sorry, we cannot align the input/output of your dataset with the model. Pleaser double check your model and dataset.
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  """
 
 
 
 
 
 
 
 
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  CONFIRM_MAPPING_DETAILS_FAIL_RAW = """
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  Sorry, we cannot align the input/output of your dataset with the model. Pleaser double check your model and dataset.
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  """
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+
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+ PREDICTION_SAMPLE_MD = """
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+ <h1 style="text-align: center;">
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+ Model Prediction Sample
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+ </h1>
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+ Here is a sample prediction from your model based on your dataset.
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+ """