alxraun/ers-bench-nano

ERS-Bench-Nano A parallel QA dataset designed to evaluate the effects of ERS semantic compression by comparing answer accuracy between natural language source text and its lossy LLM-generated ERS artifact. Schema Field Type Description domain string Category: code, formal, science, humanities. sample_id string Sample identifier. source string Original natural language text. ers_artifact string ERS notation artifact. question_id string Query… See the full description on the dataset page: https://huggingface.co/datasets/alxraun/ers-bench-nano.