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fix japanese words
Browse files- src/about.py +6 -6
src/about.py
CHANGED
@@ -36,16 +36,16 @@ class Tasks(Enum):
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EL = Task(
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"scores", "EL", "EL - エンティティリンキング", TaskType.EL, True
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) # Entity Linking - エンティティリンキング
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FA = Task("scores", "FA", "FA -
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HE = Task("scores", "HE", "HE -
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MC = Task(
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"scores", "MC", "MC -
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) # Multiple Choice question answering -
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MR = Task("scores", "MR", "MR - 数学的推論", TaskType.MR, True) # Mathematical Reasoning - 数学的推論
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MT = Task("scores", "MT", "MT - 機械翻訳", TaskType.MT, True) # Machine Translation - 機械翻訳
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NLI = Task("scores", "NLI", "NLI - 自然言語推論", TaskType.NLI, True) # Natural Language Inference - 自然言語推論
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QA = Task("scores", "QA", "QA - 質問応答", TaskType.QA, True) # Question Answering - 質問応答
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RC = Task("scores", "RC", "RC -
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SUM = Task("scores", "SUM", "SUM - 要約", TaskType.SUM, True) # Summarization - 要約
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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)
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alt_e_to_j_bleu_ja = Task("scores", "alt-e-to-j_bleu_ja", "ALT E to J BLEU", TaskType.MT)
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@@ -289,7 +289,7 @@ LLM_BENCHMARKS_TEXT_JP = """
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* `JSTS`、STS(Semantic Textual Similarity)の日本語版(JGLUEの一部)[ソース](https://github.com/yahoojapan/JGLUE)(ライセンス CC BY-SA 4.0)
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**HE
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* `MMLU`、大規模マルチタスク言語理解の測定 [ソース](https://github.com/hendrycks/test)(ライセンス MIT License)
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EL = Task(
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"scores", "EL", "EL - エンティティリンキング", TaskType.EL, True
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) # Entity Linking - エンティティリンキング
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FA = Task("scores", "FA", "FA - 基礎解析", TaskType.FA, True) # Fundamental Analysis - 基礎解析
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HE = Task("scores", "HE", "HE - 試験問題", TaskType.HE, True) # Human Examination - 試験問題
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MC = Task(
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"scores", "MC", "MC - 多肢選択式問題", TaskType.MC, True
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) # Multiple Choice question answering - 多肢選択式問題
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MR = Task("scores", "MR", "MR - 数学的推論", TaskType.MR, True) # Mathematical Reasoning - 数学的推論
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MT = Task("scores", "MT", "MT - 機械翻訳", TaskType.MT, True) # Machine Translation - 機械翻訳
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NLI = Task("scores", "NLI", "NLI - 自然言語推論", TaskType.NLI, True) # Natural Language Inference - 自然言語推論
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QA = Task("scores", "QA", "QA - 質問応答", TaskType.QA, True) # Question Answering - 質問応答
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RC = Task("scores", "RC", "RC - 文章読解", TaskType.RC, True) # Reading Comprehension - 文章読解
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SUM = Task("scores", "SUM", "SUM - 要約", TaskType.SUM, True) # Summarization - 要約
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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)
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alt_e_to_j_bleu_ja = Task("scores", "alt-e-to-j_bleu_ja", "ALT E to J BLEU", TaskType.MT)
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* `JSTS`、STS(Semantic Textual Similarity)の日本語版(JGLUEの一部)[ソース](https://github.com/yahoojapan/JGLUE)(ライセンス CC BY-SA 4.0)
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**HE(試験問題)**
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* `MMLU`、大規模マルチタスク言語理解の測定 [ソース](https://github.com/hendrycks/test)(ライセンス MIT License)
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