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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - text-classification
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+ - question-answering
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+ - summarization
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+ - translation
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+ language:
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+ - tl
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+ - en
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+ tags:
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+ - tagalog
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+ - distill
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+ - gemini
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+ - self instruct
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+ - synthetic
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ **SimpleQnA** is a straightforward question-and-answer dataset in Tagalog. It covers a wide range of topics. The dataset includes some instructions written in English. This helps the model learn to respond in both Tagalog and English, avoiding the tendency to reply only in Tagalog when given Tagalog input.
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+ For instruction-following (IF) examples, SimpleQnA borrows constraints and formats from datasets like Tulu-3, Muffin, and IFEval. This adds structure and variety to the instructions.
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+ The dataset uses random sampling parameters to ensure diverse and balanced data coverage across different topics and instruction types.