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•
26e855f
1
Parent(s):
0a4c821
Highlight min/max Results accuracy
Browse files- src/results.py +9 -0
src/results.py
CHANGED
@@ -1,6 +1,7 @@
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import json
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import gradio as gr
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import pandas as pd
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from huggingface_hub import HfFileSystem
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@@ -72,6 +73,7 @@ def display_tab(tab, df, task):
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],
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axis="index",
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)
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start = len(f"{tab}.leaderboard_") if task == "All" else len(f"{tab}.{task} ")
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df.format_index(lambda idx: idx[start:].removesuffix(",none"), axis="index")
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return df.to_html()
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@@ -104,3 +106,10 @@ def clear_results():
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),
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) * 2,
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)
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import json
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import gradio as gr
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import numpy as np
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import pandas as pd
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from huggingface_hub import HfFileSystem
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],
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axis="index",
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)
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df.apply(highlight_min_max, axis=1)
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start = len(f"{tab}.leaderboard_") if task == "All" else len(f"{tab}.{task} ")
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df.format_index(lambda idx: idx[start:].removesuffix(",none"), axis="index")
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return df.to_html()
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),
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) * 2,
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)
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+
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def highlight_min_max(s):
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if s.name.endswith("acc,none") or s.name.endswith("acc_norm,none"):
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return np.where(s == np.nanmax(s.values), "background-color:darkgreen", "background-color:darkred")
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else:
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return [""] * len(s)
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