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--- |
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license: apache-2.0 |
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task_categories: |
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- translation |
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language: |
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- ja |
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- en |
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--- |
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This is my conversion of [NilanE/ParallelFiction-Ja_En-100k](https://huggingface.co/datasets/NilanE/ParallelFiction-Ja_En-100k) into json which can be read by text-generation-webui when training a model. |
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# Original Dataset card |
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# Dataset details |
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Each entry in this dataset is a sentence-aligned Japanese web novel chapter and English fan translation. |
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The intended use-case is for document translation tasks. |
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# Dataset format |
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```json |
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{ |
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'src' : 'JAPANESE CHAPTER' |
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'trg' : 'ENGLISH TRANSLATION' |
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'meta' : { |
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"source": 'SAME ACROSS ALL ENTRIES', |
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"series": 'NAME OF WEB NOVEL SERIES', |
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"missed_lines": 'NUMBER OF LINES THAT WERE AT THE SAME INDEX BUT NOT DETECTED AS BEING TRANSLATIONS OF EACH OTHER', |
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"inserted_lines_src": 'NUMBER OF LINES IN THE JAPANESE TEXT THAT DID NOT HAVE A MATCHING TRANSLATION BUT ARE BUFFERED BY TRANSLATED LINES', |
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"inserted_lines_trg": 'SAME AS ABOVE BUT FOR ENGLISH', |
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} |
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} |
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``` |
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A high number of inserted lines is not necessarily a sign of a bad pair, as many translations concatenate or divide source chapters when publishing. |
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Instead, watch out for high numbers of missed lines or entries where the inserted line count is high for both source and target. |
