This dataset contains human and machine-generated Multidimensional Quality Metrics (MQM) annotations for machine-translated Thai text. It is intended for evaluating and comparing MT system outputs and error annotation quality across different automated models. The dataset features annotations from three large language models (LLMs): Claude 3.7 Sonnet, Gemini 2.0 Flash, and 4o Mini, alongside human annotations, providing a comprehensive… See the full description on the dataset page: https://huggingface.co/datasets/wasanx/gemba_annotation.
