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+ ---
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+ annotations_creators:
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+ - no-annotation
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+ language_creators:
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+ - found
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+ language:
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+ - en
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+ license:
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+ - apache-2.0
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 100K<n<1M
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - sentence-similarity
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+ task_ids:
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+ - semantic-similarity-classification
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+ paperswithcode_id: STS-eval-Kubla-PL
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+ pretty_name: STS Evaluation Kubla/PL
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+ dataset_info:
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+ - config_name: 1.0.0-1by1
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+ features:
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+ - name: id
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+ dtype: int32
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+ - name: textA
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+ dtype: string
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+ - name: textB
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+ dtype: string
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+ - name: value
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+ dtype: int32
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+ splits:
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+ - name: test
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+ num_bytes:
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+ num_examples:
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+ download_size:
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+ dataset_size:
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+ - config_name: 1.0.0-2by2
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+ features:
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+ - name: id
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+ dtype: int32
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+ - name: textA
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+ dtype: string
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+ - name: textB
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+ dtype: string
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+ - name: value
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+ dtype: int32
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+ splits:
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+ - name: test
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+ num_bytes:
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+ num_examples:
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+ download_size:
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+ dataset_size:
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+ - config_name: 1.0.0-3by3
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+ - name: id
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+ dtype: int32
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+ - name: textA
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+ dtype: string
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+ - name: value
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+ splits:
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+ - name: test
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+ num_bytes:
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+ - name: id
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+ dtype: int32
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+ - name: textA
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+ - name: id
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+ dtype: int32
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+ - name: textA
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+ dtype: string
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+ - name: textB
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+ - name: value
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+ - name: test
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+ - name: textA
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+ - name: textB
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+ - name: value
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+ splits:
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+ - name: test
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+ num_bytes:
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+ num_examples:
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+ download_size:
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+ dataset_size:
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+ configs:
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+ - config_name: 1.0.0-1by1
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+ data_files:
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+ - split: test
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+ path: 1.0.0/test-*
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+ - config_name: 1.0.0-2by2
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+ data_files:
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+ - split: test
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+ path: 1.0.0/test-*
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+ - config_name: 1.0.0-3by3
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+ data_files:
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+ - split: test
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+ path: 1.0.0/test-*
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+ - config_name: 2.0.0-1by1
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+ data_files:
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+ - split: test
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+ path: 2.0.0/STSdataset_KublaPL_1.csv
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+ - config_name: 2.0.0-2by2
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+ data_files:
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+ - split: test
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+ path: 2.0.0/STSdataset_KublaPL_2.csv
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+ - config_name: 2.0.0-3by3
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+ data_files:
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+ - split: test
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+ path: 2.0.0/STSdataset_KublaPL_3.csv
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+
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+ ---
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+ # STS Evaluation Datasets for English literary texts
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+
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+ ## Rating criteria
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+ - 5: Critics mentioned and strongly influenced - citation
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+ - 4: Critics mentioned and moderately influenced – source, borrowing, repeating the same theme, self-citation, precedent example
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+ - 3: Critics mentioned and somewhat influenced – association, source
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+ - 2: Influence mentioned but not admitted – source text A and influenced text B but different lines critic mentioned – e.g. Kubla Khan’s text but in different lines and Paradise Lost
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+ - 1: Influence may not exist – Influence not mentioned, but the same or similar taste author’s texts – e.g. Coleridge and Wordsworth
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+ - 0: No influence – not mentioned.
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+
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+ - 5:該当箇所の指摘(注)があり、つよい影響が認められる
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+ - 4:該当箇所の指摘(注)があり、中程度に影響があると認められる
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+ - 3:該当箇所の指摘(注)があり、少し影響があると認められる
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+ - 2:影響があるが認められない - 作品自体は影響あると指摘のある詩作品であるが、その影響は別の箇所である
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+ - 1:影響はないかもしれない - 影響があるとの指摘はないが、同じまたは同種の著者の作品である。コールリッジとワーズワスなど
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+ - 0:影響はない - 指摘もない
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+
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+ # Human Criteria: Poetry of Influence
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+ https://github.com/hast-hash/English-Poetry-Dataset/blob/main/KublaKhan_ParadiseLost_Tables.docx
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+