improve metric name readability by adjusting spacing

src/about.py

@@ -32,17 +32,17 @@ class Task:
 # ---------------------------------------------------
 class Tasks(Enum):
     AVG = Task("scores", "AVG", "AVG", TaskType.AVG, True)
-    CG = Task("scores", "CG", "AVG(CG)", TaskType.CG, True)  # Code Generation - コード生成
-    EL = Task("scores", "EL", "AVG(EL)", TaskType.EL, True)  # Entity Linking - エンティティリンキング
-    FA = Task("scores", "FA", "AVG(FA)", TaskType.FA, True)  # Fundamental Analysis - 基礎解析
-    HE = Task("scores", "HE", "AVG(HE)", TaskType.HE, True)  # Human Examination - 試験問題
-    MC = Task("scores", "MC", "AVG(MC)", TaskType.MC, True)  # Multiple Choice question answering - 多肢選択式問題
-    MR = Task("scores", "MR", "AVG(MR)", TaskType.MR, True)  # Mathematical Reasoning - 数学的推論
-    MT = Task("scores", "MT", "AVG(MT)", TaskType.MT, True)  # Machine Translation - 機械翻訳
-    NLI = Task("scores", "NLI", "AVG(NLI)", TaskType.NLI, True)  # Natural Language Inference - 自然言語推論
-    QA = Task("scores", "QA", "AVG(QA)", TaskType.QA, True)  # Question Answering - 質問応答
-    RC = Task("scores", "RC", "AVG(RC)", TaskType.RC, True)  # Reading Comprehension - 文章読解
-    SUM = Task("scores", "SUM", "AVG(SUM)", TaskType.SUM, True)  # Summarization - 要約
+    CG = Task("scores", "CG", "AVG (CG)", TaskType.CG, True)  # Code Generation - コード生成
+    EL = Task("scores", "EL", "AVG (EL)", TaskType.EL, True)  # Entity Linking - エンティティリンキング
+    FA = Task("scores", "FA", "AVG (FA)", TaskType.FA, True)  # Fundamental Analysis - 基礎解析
+    HE = Task("scores", "HE", "AVG (HE)", TaskType.HE, True)  # Human Examination - 試験問題
+    MC = Task("scores", "MC", "AVG (MC)", TaskType.MC, True)  # Multiple Choice question answering - 多肢選択式問題
+    MR = Task("scores", "MR", "AVG (MR)", TaskType.MR, True)  # Mathematical Reasoning - 数学的推論
+    MT = Task("scores", "MT", "AVG (MT)", TaskType.MT, True)  # Machine Translation - 機械翻訳
+    NLI = Task("scores", "NLI", "AVG (NLI)", TaskType.NLI, True)  # Natural Language Inference - 自然言語推論
+    QA = Task("scores", "QA", "AVG (QA)", TaskType.QA, True)  # Question Answering - 質問応答
+    RC = Task("scores", "RC", "AVG (RC)", TaskType.RC, True)  # Reading Comprehension - 文章読解
+    SUM = Task("scores", "SUM", "AVG (SUM)", TaskType.SUM, True)  # Summarization - 要約
     alt_e_to_j_bert_score_ja_f1 = Task("scores", "alt-e-to-j_bert_score_ja_f1", "ALT E to J BERT Score", TaskType.MT)
     alt_e_to_j_bleu_ja = Task("scores", "alt-e-to-j_bleu_ja", "ALT E to J BLEU", TaskType.MT)
     alt_e_to_j_comet_wmt22 = Task("scores", "alt-e-to-j_comet_wmt22", "ALT E to J COMET WMT22", TaskType.MT)
@@ -63,15 +63,15 @@ class Tasks(Enum):
     jsick_exact_match = Task("scores", "jsick_exact_match", "JSICK", TaskType.NLI)
     jsquad_char_f1 = Task("scores", "jsquad_char_f1", "JSquad", TaskType.RC)
     jsts_pearson = Task(
-        "scores", "jsts_pearson", "JSTS(Pearson)", TaskType.STS
+        "scores", "jsts_pearson", "JSTS (Pearson)", TaskType.STS
     )  # Semantic Textual Similarity - 意味的類似度
     jsts_spearman = Task(
-        "scores", "jsts_spearman", "JSTS(Spearman)", TaskType.STS
+        "scores", "jsts_spearman", "JSTS (Spearman)", TaskType.STS
     )  # Semantic Textual Similarity - 意味的類似度
     kuci_exact_match = Task("scores", "kuci_exact_match", "KUCI", TaskType.MC)
     mawps_exact_match = Task("scores", "mawps_exact_match", "MAWPS", TaskType.MR)
-    mbpp_code_exec = Task("scores", "mbpp_code_exec", "MBPP(exec)", TaskType.CG)
-    mbpp_pylint_check = Task("scores", "mbpp_pylint_check", "MBPP(pylint)", TaskType.CG)
+    mbpp_code_exec = Task("scores", "mbpp_code_exec", "MBPP (exec)", TaskType.CG)
+    mbpp_pylint_check = Task("scores", "mbpp_pylint_check", "MBPP (pylint)", TaskType.CG)
     mmlu_en_exact_match = Task("scores", "mmlu_en_exact_match", "MMLU", TaskType.HE)
     niilc_char_f1 = Task("scores", "niilc_char_f1", "NIILC", TaskType.QA)
     wiki_coreference_set_f1 = Task("scores", "wiki_coreference_set_f1", "Wiki Coreference", TaskType.FA)