Datasets:
metadata
license: mit
task_categories:
- question-answering
- text-generation
language:
- km
pretty_name: Khmer
size_categories:
- n<1K
The data collected from https://www.khsearch.com/ related to the general question-answering examination. It used to train fine-tuned models from many LLMs, including LlaMa, Qwen, Mistral, and Gemma. 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.
- Lab Info: https://www.facebook.com/vilalabitc
- Paper will availble on online soon