David Pomerenke
commited on
Commit
·
7c67b73
1
Parent(s):
1dbf2b8
Add soft hyphens in table header
Browse files
app.py
CHANGED
@@ -232,17 +232,17 @@ def create_language_stats_df(metric):
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# if lang["overall_score"] is not None
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# else "N/A",
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"Best Model": model_link,
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-
"
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if lang["mt_chrf"] is not None
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else "N/A",
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-
"
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if lang["cls_acc"] is not None
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else "N/A",
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-
"
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if lang["mlm_chrf"] is not None
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else "N/A",
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-
"
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-
"Common
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}
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flat_data.append(row)
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@@ -283,7 +283,7 @@ def create_scatter_plot(metric):
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# Create a list to store data for the scatter plot
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scatter_data = []
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for lang in languages_with_scores:
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-
if lang["speakers"] <
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continue
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# Calculate average score for this metric across all models
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scores = [
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# if lang["overall_score"] is not None
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# else "N/A",
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"Best Model": model_link,
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+
"Translation": round(lang["mt_chrf"], 3)
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if lang["mt_chrf"] is not None
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else "N/A",
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+
"Classification": round(lang["cls_acc"], 3)
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if lang["cls_acc"] is not None
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else "N/A",
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+
"Masked Language Modeling": round(lang["mlm_chrf"], 3)
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if lang["mlm_chrf"] is not None
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else "N/A",
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+
"Speech Recognition": round(lang["asr_chrf"], 3) if lang["asr_wer"] is not None else "N/A",
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+
"CommonVoice": commonvoice_link,
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}
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flat_data.append(row)
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# Create a list to store data for the scatter plot
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scatter_data = []
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for lang in languages_with_scores:
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+
if lang["speakers"] < 100_000:
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continue
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# Calculate average score for this metric across all models
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scores = [
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