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@@ -84,8 +84,8 @@ The dataset accompanies the EMNLP 2026 paper [*TranslatePsy-AfriSLM: High-Qualit
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  The dataset is intended for:
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- - supervised fine-tuning of multilingual machine-translation models;
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- - research on English–African and African–English translation;
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  - research on multilingual data filtering, synthetic-data scaling, and low-resource NLP.
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  Each row includes both raw parallel text and a ready-to-use chat-formatted translation example.
 
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  The dataset is intended for:
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+ - supervised fine-tuning of multilingual machine translation models;
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+ - research on English ↔ African language translation;
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  - research on multilingual data filtering, synthetic-data scaling, and low-resource NLP.
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  Each row includes both raw parallel text and a ready-to-use chat-formatted translation example.