Re-add Japanese translation to the labels

src/about.py

@@ -12,17 +12,17 @@ class Task:
 # ---------------------------------------------------
 class Tasks(Enum):
     AVG = Task("scores", "AVG", "AVG")
-    CG = Task("scores", "CG", "CG")
-    EL = Task("scores", "EL", "EL")
-    FA = Task("scores", "FA", "FA")
-    HE = Task("scores", "HE", "HE")
-    MC = Task("scores", "MC", "MC")
-    MR = Task("scores", "MR", "MR")
-    MT = Task("scores", "MT", "MT")
-    NLI = Task("scores", "NLI", "NLI")
-    QA = Task("scores", "QA", "QA")
-    RC = Task("scores", "RC", "RC")
-    SUM = Task("scores", "SUM", "SUM")
+    CG = Task("scores", "CG", "CG - コード生成")  # Code Generation - コード生成
+    EL = Task("scores", "EL", "EL - エンティティリンキング")  # Entity Linking - エンティティリンキング
+    FA = Task("scores", "FA", "FA - 基礎分析")  # Fundamental Analysis - 基礎分析
+    HE = Task("scores", "HE", "HE - 人間の評価")  # Human Examination - 人間の評価
+    MC = Task("scores", "MC", "MC - 多肢選択式質問応答")  # Multiple Choice question answering - 多肢選択式質問応答
+    MR = Task("scores", "MR", "MR - 数学的推論")  # Mathematical Reasoning - 数学的推論
+    MT = Task("scores", "MT", "MT - 機械翻訳")  # Machine Translation - 機械翻訳
+    NLI = Task("scores", "NLI", "NLI - 自然言語推論")  # Natural Language Inference - 自然言語推論
+    QA = Task("scores", "QA", "QA - 質問応答")  # Question Answering - 質問応答
+    RC = Task("scores", "RC", "RC - 読解力")  # Reading Comprehension - 読解力
+    SUM = Task("scores", "SUM", "SUM - 要約")  # 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")
     alt_e_to_j_bleu_ja = Task("scores", "alt-e-to-j_bleu_ja", "ALT E to J BLEU")
     alt_e_to_j_comet_wmt22 = Task("scores", "alt-e-to-j_comet_wmt22", "ALT E to J COMET WMT22")
@@ -40,8 +40,8 @@ class Tasks(Enum):
     jsem_exact_match = Task("scores", "jsem_exact_match", "JSEM")
     jsick_exact_match = Task("scores", "jsick_exact_match", "JSICK")
     jsquad_char_f1 = Task("scores", "jsquad_char_f1", "JSquad")
-    jsts_pearson = Task("scores", "jsts_pearson", "JSTS (Pearson)")
-    jsts_spearman = Task("scores", "jsts_spearman", "JSTS (Spearman)")
+    jsts_pearson = Task("scores", "jsts_pearson", "JSTS (Pearson) - 意味的類似度")  # Semantic Textual Similarity - 意味的類似度
+    jsts_spearman = Task("scores", "jsts_spearman", "JSTS (Spearman) - 意味的類似度")  # Semantic Textual Similarity - 意味的類似度
     kuci_exact_match = Task("scores", "kuci_exact_match", "KUCI")
     mawps_exact_match = Task("scores", "mawps_exact_match", "MAWPS")
     mmlu_en_exact_match = Task("scores", "mmlu_en_exact_match", "MMLU")