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@@ -76,7 +76,7 @@ This dataset is suitable for:
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  - The dataset consists of machine-translated legal documents and has not been comprehensively reviewed by legal professionals or certified translators.
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  - Although a controlled chunk-based translation pipeline was used to preserve document structure and completeness, translation errors, inconsistencies, or legal terminology inaccuracies may still be present.
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- - "The dataset may require additional preprocessing and quality assurance before use in downstream NLP tasks. Users may need to perform text normalization, deduplication, terminology standardization, document cleaning, or manual verification of translations.
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  - The dataset consists of machine-translated legal documents and has not been comprehensively reviewed by legal professionals or certified translators.
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  - Although a controlled chunk-based translation pipeline was used to preserve document structure and completeness, translation errors, inconsistencies, or legal terminology inaccuracies may still be present.
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+ - The dataset may require additional preprocessing and quality assurance before use in downstream NLP tasks. Users may need to perform text normalization, deduplication, terminology standardization, document cleaning, or manual verification of translations.
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