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--- |
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license: mit |
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task_categories: |
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- question-answering |
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- text-generation |
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language: |
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- km |
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pretty_name: Khmer |
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size_categories: |
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- n<1K |
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--- |
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The data collected from https://www.khsearch.com/ related to the general question-answering examination. |
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It used to train fine-tuned models from many LLMs, including LlaMa, Qwen, Mistral, and Gemma. |
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Under the research title "Fine-tuning for Question Answering in Low-Resource Languages: A Case Study on Khmer" conducted at ViLa Lab, Institute of Technology of Cambodia, Phnom Penh. |
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- Lab Info: https://www.facebook.com/vilalabitc |
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- Paper will availble on online soon |
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