MixTune is an aggregated instruction-tuning mixture for relation extraction (RE) that
balances general-domain and literary data. It draws equally from a general-domain pool and a
literary pool, giving a single prompt/label corpus used to fine-tune small language models in the
paper "Sub-Billion, Super-Frontier: Fine-Tuned Small Language Models Rival Zero-Shot Frontier
LLMs on General and Literary Relation Extraction" (Christou &… See the full description on the dataset page:
https://huggingface.co/datasets/Despina/re_mixtune.