Datasets:
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num_examples: 5686275
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download_size: 651456196
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dataset_size: 847526347
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---
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# Dataset Card for "CCMatrix-v1-Ja_Zh-filtered"
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num_examples: 5686275
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download_size: 651456196
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dataset_size: 847526347
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task_categories:
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- translation
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language:
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- zh
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- ja
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pretty_name: cc
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---
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# Dataset Card for "CCMatrix-v1-Ja_Zh-filtered"
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Filtered and modified version of Japanese/Chinese language pair data from [CCMatrix v1](https://opus.nlpl.eu/CCMatrix.php).
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Process steps:
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1. Basic regex based filtering / length checking to remove abnormal pairs.
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2. Semantic similarity filtering with a threshold value of 0.6, based on [sentence-transformers/LaBSE](https://huggingface.co/sentence-transformers/LaBSE).
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3. Convert all Traditional Chinese sentences into Simplified Chinese with [zhconv](https://github.com/gumblex/zhconv).
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经过过滤和修改的日语/中文语言对数据,来自[CCMatrix v1](https://opus.nlpl.eu/CCMatrix.php)。
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处理步骤:
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1. 基本的基于正则表达式的过滤/长度检查,以删除异常对。
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2. 基于[sentence-transformers/LaBSE](https://huggingface.co/sentence-transformers/LaBSE)的语义相似性过滤,阈值为0.6。
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3. 使用[zhconv](https://github.com/gumblex/zhconv)将所有繁体中文句子转换为简体中文。
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------
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以下はフィルタリングされ修正された日本語/中国語のペアデータです。データ元は[CCMatrix v1](https://opus.nlpl.eu/CCMatrix.php)です。
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処理手順:
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1. 正規表現に基づくフィルタリング/長さのチェックを行い、異常なペアを削除します。
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2. [sentence-transformers/LaBSE](https://huggingface.co/sentence-transformers/LaBSE)に基づくセマンティック類似性フィルタリングを行い、閾値は0.6です。
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3. [zhconv](https://github.com/gumblex/zhconv)を使って、すべての繁体字中国語の文を簡体字中国語に変換します。
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