arXiv cs.AI· Tianze Sun (Harbin Institute of Technology), Yongyao Duan (OpenCSG), Sam Chen (OpenCSG)·· 2 小时前AI 评分30
WoW：面向大语言模型全生命周期训练的大规模世界知识语料库
The WoW: A Large-Scale World Knowledge Corpus for Full-Lifecycle LLM Training
AI 导读
研究者推出 WoW（World Knowledge），一个由教育知识图谱驱动构建的大规模中文教育语料库，支持基础模型的全周期训练。相比以往版本，该数据集系统性更强、质量更优、规模更大，并纳入多模态信号。实验显示 WoW 能在多个 benchmark 上显著提升模型性能，团队还提供了基于图谱的数据选择与检索交互平台。
正文 · 原文
Abstract:Existing Chinese educational corpora often suffer from fragmented coverage and a lack of systematic organization. In this paper, we propose WoW (\textbf{Wo}rld Kno\textbf{w}ledge), a large-scale dataset designed for the full-cycle training of foundation models. The construction of this dataset is driven by an Educational Knowledge Graph, which serves as a taxonomic backbone for the systematic collection and completion of missing educational modules across all levels. Compared to previous versions, this iteration provides enhanced systematicity, superior quality, and a larger scale, while incorporating multimodal signals and supporting every stage of model development. Experiments demonstrate that WoW significantly improves model performance across diverse benchmarks. To facilitate community research, we further provide an interactive platform for graph-based data selection and retrieval.
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2611.13487 [cs.AI] |
| (or arXiv:2611.13487v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2611.13487 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Tianze Sun [view email]
[v1]
Tue, 10 Nov 2026 02:56:20 UTC (1,566 KB)
来源：arXiv cs.AI · arxiv.org