Spaces:
Running
Running
Yotam-Perlitz
commited on
Commit
•
f32be22
1
Parent(s):
363d8ae
remove HFv2 BBH Raw
Browse filesSigned-off-by: Yotam-Perlitz <y.perlitz@ibm.com>
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=
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value=
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)
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n_models_taken_list = [n_models_taken_list]
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@@ -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=
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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 = (
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@@ -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)
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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=15,
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value=8,
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)
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n_models_taken_list = [n_models_taken_list]
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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=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 = (
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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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)
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allbench.extend(my_benchmark)
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