This repository contains the Qwen3-1.7B-MegaScience model, which is part of the research presented in the paper titled «MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning». Scientific reasoning is critical for developing AI scientists and supporting human researchers in advancing the frontiers of natural science discovery. However, the open-source community has primarily focused on mathematics and coding while neglecting the scientific domain, largely due to the absence of open, large-scale, high-quality, verifiable scientific reasoning datasets. To bridge this gap, we first present TextbookReasoning, an open dataset featuring truthful reference answers extracted from 12k university-level scientific textbooks, comprising 650k reasoning questions spanning 7 scientific disciplines. We further introduce MegaScience, a large-scale mixture of high-quality open-source datasets totaling 1.25 million instances, developed through systematic ablation studies that evaluate various data selection methodologies to identify the optimal subset for each publicly available scientific dataset. Meanwhile, we build a comprehensive evaluation system covering diverse…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: MegaScience
Теги: qwen3, science, scientific-reasoning, qwen, conversational, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 31
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
