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README.md
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@@ -73,6 +73,8 @@ Cross-Lingual Embeddings: The paraphrase-multilingual-MiniLM-L12-v2 model from H
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Similarity Calculation: The score column represents the Cosine Similarity between the English and Indonesian sentence embeddings. This method effectively matches sentences with the same underlying meaning, even if they are not literal word-for-word translations or if the sentence structures differ between the two languages.
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Usage Limitations & Tips
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Filtering by Quality: Users are strongly encouraged to filter the dataset based on the score column. For strict machine translation tasks, filtering pairs with a higher score threshold (e.g., score > 0.85 or 0.90) will yield the highest quality parallel data. Lower scores can be retained for general pre-training or broader language modeling.
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Similarity Calculation: The score column represents the Cosine Similarity between the English and Indonesian sentence embeddings. This method effectively matches sentences with the same underlying meaning, even if they are not literal word-for-word translations or if the sentence structures differ between the two languages.
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Usage Limitations & Tips
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Filtering by Quality: Users are strongly encouraged to filter the dataset based on the score column. For strict machine translation tasks, filtering pairs with a higher score threshold (e.g., score > 0.85 or 0.90) will yield the highest quality parallel data. Lower scores can be retained for general pre-training or broader language modeling.
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