Yotam-Perlitz commited on
Commit
f32be22
1 Parent(s): 363d8ae

remove HFv2 BBH Raw

Browse files

Signed-off-by: Yotam-Perlitz <y.perlitz@ibm.com>

Files changed (1) hide show
  1. app.py +7 -4
app.py CHANGED
@@ -75,8 +75,8 @@ with st.expander("Leaderboard configurations (defaults are great BTW)", icon="
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  n_models_taken_list = st.slider(
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  label="Select number of models to use",
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  min_value=3,
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- max_value=20,
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- value=10,
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  )
81
 
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  n_models_taken_list = [n_models_taken_list]
@@ -140,7 +140,7 @@ def run_load(
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  corr_types=["kendall"],
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  n_exps=10,
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  my_benchmark=Benchmark(),
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- use_caching=False,
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  ):
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  # Create a hash of the inputs to generate a unique cache file for each set of inputs
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  input_str = (
@@ -182,13 +182,16 @@ def run_load(
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  allbench = Benchmark()
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  allbench.load_local_catalog()
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  allbench.add_aggregate(
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  new_col_name="aggregate",
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  agg_source_name="aggregate",
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  scenario_whitelist=aggregate_scenario_whitelist,
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  min_scenario_for_models_to_appear_in_agg=1
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  if len(aggregate_scenario_whitelist) == 1
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- else 2,
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  )
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  allbench.extend(my_benchmark)
 
75
  n_models_taken_list = st.slider(
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  label="Select number of models to use",
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  min_value=3,
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+ max_value=15,
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+ value=8,
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  )
81
 
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  n_models_taken_list = [n_models_taken_list]
 
140
  corr_types=["kendall"],
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  n_exps=10,
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  my_benchmark=Benchmark(),
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+ use_caching=True,
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  ):
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  # Create a hash of the inputs to generate a unique cache file for each set of inputs
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  input_str = (
 
182
  allbench = Benchmark()
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  allbench.load_local_catalog()
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+ scenarios_to_drop = ["HFv2 BBH Raw"]
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+ allbench.df = allbench.df.query("scenario not in @scenarios_to_drop")
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+
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  allbench.add_aggregate(
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  new_col_name="aggregate",
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  agg_source_name="aggregate",
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  scenario_whitelist=aggregate_scenario_whitelist,
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  min_scenario_for_models_to_appear_in_agg=1
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  if len(aggregate_scenario_whitelist) == 1
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+ else len(aggregate_scenario_whitelist) // 2,
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  )
196
 
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  allbench.extend(my_benchmark)