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@@ -61,7 +61,7 @@ This dataset contains Myanmar language text annotated with Named Entity Recognit
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  The dataset uses a **7-tag annotation scheme** (6 entity types + O tag) designed to support various NLP tasks including information extraction, question answering, and knowledge graph construction.
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- > **Note**: The original myNER corpus uses the **BIOES** (Begin, Inside, Outside, End, Single) tagging scheme. This preprocessed version has been converted to the **BIO** (Begin, Inside, Outside) format for broader compatibility with standard NER frameworks and HuggingFace models.
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  ## Source Data
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  The dataset uses a **7-tag annotation scheme** (6 entity types + O tag) designed to support various NLP tasks including information extraction, question answering, and knowledge graph construction.
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+ > **Note**: The original myNER corpus uses the **BIOES** (Begin, Inside, Outside, End, Single) tagging scheme. This preprocessed version has been converted to the **BIO** (Begin, Inside, Outside) format for easier fine-tuning with HuggingFace Token Classification models.
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  ## Source Data
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