Update src/tools/plots.py

src/tools/plots.py

@@ -37,22 +37,6 @@ def create_scores_df(raw_data: list[EvalResult]) -> pd.DataFrame:
             current_date = row["date"]
             if task.benchmark == "Average":
                 avg_skip_len = 0
-                if row["results"]["ko_winogrande"] == 0.0:
-                    avg_skip_len += 1
-                if row["results"]["ko_gsm8k"] == 0.0:
-                    avg_skip_len += 1
-                if row["results"]["ko_eq_bench"] == 0.0:
-                    avg_skip_len += 1
-                if row["results"]["ko_inst_follow"] == 0.0:
-                    avg_skip_len += 1
-                if row["results"]["kor_nat_cka"] == 0.0:
-                    avg_skip_len += 1
-                if row["results"]["kor_nat_sva"] == 0.0:
-                    avg_skip_len += 1
-                if row["results"]["ko_harmlessness"] == 0.0:
-                    avg_skip_len += 1
-                if row["results"]["ko_helpfulness"] == 0.0:
-                    avg_skip_len += 1
                     
                 current_score = np.sum(list(row["results"].values())) / (len(row["results"]) - avg_skip_len)
             else: