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martinigoyanes
commited on
Commit
·
acbb7be
1
Parent(s):
06f9b96
fix
Browse files
data_agents_benchmark/leaderboard.py
CHANGED
@@ -243,7 +243,7 @@ def generate_leaderboard_df(dataset_name: str) -> pd.DataFrame:
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# renaming
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col_map = {
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"agent_name": "Agent",
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-
"all": "Overall Score %",
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"1": "Level 1 Accuracy (%)",
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"2": "Level 2 Accuracy (%)",
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"3": "Level 3 Accuracy (%)",
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@@ -260,7 +260,7 @@ def generate_leaderboard_df(dataset_name: str) -> pd.DataFrame:
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# processing
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# convert scores to %
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-
df["Overall Score %"] = df["Overall Score %"].apply(lambda x: round(x * 100, 4))
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df["Level 1 Accuracy (%)"] = df["Level 1 Accuracy (%)"].apply(lambda x: round(x * 100, 4))
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df["Level 2 Accuracy (%)"] = df["Level 2 Accuracy (%)"].apply(lambda x: round(x * 100, 4))
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df["Level 3 Accuracy (%)"] = df["Level 3 Accuracy (%)"].apply(lambda x: round(x * 100, 4))
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# renaming
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col_map = {
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"agent_name": "Agent",
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+
"all": "Overall Score (%)",
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"1": "Level 1 Accuracy (%)",
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"2": "Level 2 Accuracy (%)",
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"3": "Level 3 Accuracy (%)",
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# processing
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# convert scores to %
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+
df["Overall Score (%)"] = df["Overall Score (%)"].apply(lambda x: round(x * 100, 4))
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df["Level 1 Accuracy (%)"] = df["Level 1 Accuracy (%)"].apply(lambda x: round(x * 100, 4))
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df["Level 2 Accuracy (%)"] = df["Level 2 Accuracy (%)"].apply(lambda x: round(x * 100, 4))
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df["Level 3 Accuracy (%)"] = df["Level 3 Accuracy (%)"].apply(lambda x: round(x * 100, 4))
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