Update src/populate.py

src/populate.py

@@ -15,15 +15,15 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
 
 
     df = pd.DataFrame.from_records(all_data_json)
-    # score_cols = [
-    #     'ALT E to J BLEU', 'ALT J to E BLEU', 'WikiCorpus E to J BLEU', 'WikiCorpus J to E BLEU', 
-    #     'XL-Sum JA BLEU', 'XL-Sum ROUGE1', 'XL-Sum ROUGE2', 'XL-Sum ROUGE-Lsum'
-    # ]
+    score_cols = [
+        'ALT E to J BLEU', 'ALT J to E BLEU', 'WikiCorpus E to J BLEU', 'WikiCorpus J to E BLEU', 
+        'XL-Sum JA BLEU', 'XL-Sum ROUGE1', 'XL-Sum ROUGE2', 'XL-Sum ROUGE-Lsum'
+    ]
     
-    # existing_score_cols = [col for col in score_cols if col in df.columns]
+    existing_score_cols = [col for col in score_cols if col in df.columns]
     
-    # # スコア列を100で割り、.4f形式でフォーマット
-    # df[existing_score_cols] = (df[existing_score_cols] / 100).applymap(lambda x: f'{x:.4f}')
+    # スコア列を100で割り、.4f形式でフォーマット
+    df[existing_score_cols] = (df[existing_score_cols] / 100).applymap(lambda x: f'{x:.4f}')
     df = df[cols].round(decimals=2)
 
     # filter out if any of the benchmarks have not been produced