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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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# 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 WEB NOVEL CHAPTER', |
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'trg': 'CORRESPONDING ENGLISH TRANSLATION', |
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'meta': { |
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'general': { |
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'series_title_eng': 'ENGLISH SERIES TITLE', |
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'series_title_jap': 'JAPANESE SERIES TITLE', |
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'sentence_alignment_score': 'ALIGNMENT SCORE' |
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}, |
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'novelupdates': { |
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'link': 'NOVELUPDATES URL', |
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'genres': 'NOVELUPDATES GENRES', |
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'tags': 'NOVELUPDATES TAGS (think sub-genres)', |
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'rating': 'NOVELUPDATES RATING (X/5)', |
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'rating_votes': 'NOVELUPDATES RATING VOTES' |
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}, |
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'syosetu': { |
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'link': 'SYOSETU URL', |
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'series_active': 'IS THE SERIES STILL UP ON SYOSETU (is false for 3 series, each one has no syosetu metadata beyond the link and active status)', |
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'writer': 'AUTHOR'S NAME ON SYOSETU', |
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'fav_novel_cnt': 'FROM SYOSETU API FOR CHECKING SERIES QUALITY', |
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'global_points': 'ALSO FROM SYOSETU API FOR CHECKING SERIES QUALITY' |
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} |
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} |
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} |
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``` |
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This is version 2 of the dataset. It contains more chapters (103K -> 106K), but has slightly fewer tokens due to an overhaul of the alignment code. |
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This version should fix the issues found in discussions #3 and #4, and adds series-specific metadata as requested in #1. |
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No translation quality filtering has been applied to the dataset. Methods for doing so are being researched. |
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# License note: |
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The texts and site-specific metadata is distributed under fair use principles, with everything else being under an Apache 2.0 license. |
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If an author, translator or one of the sites mentioned above requests a takedown of one or more series, it will be promptly addressed. |
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Takedowns can be requested through the creation of a Huggingface disscussion. |
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I am not a lawyer, and the above notice is probably not legally sound. As such, I recommend discretion when using the contents of the dataset. |
