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README.md
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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 a modified version of [NilanE/ParallelFiction-Ja_En-100k](https://huggingface.co/datasets/NilanE/ParallelFiction-Ja_En-100k) which has been turned into Alpaca format.
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This has also been chunked for 4096 tokens for [augmxnt/shisa-base-7b-v1](https://huggingface.co/augmxnt/shisa-base-7b-v1) model's tokenizer.
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If you want the non chunked version it's [here](#sike).
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# Dataset format (correct one)
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```json
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{
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'instruction' : 'Japanese chapter'
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'output' : 'English translation'
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'input' : 'empty'
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}
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```
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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.
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