llm-jp/Jagle
收藏Hugging Face2026-05-12 更新2026-05-31 收录
下载链接：
https://hf-mirror.com/datasets/llm-jp/Jagle
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资源简介：
Jagle是一个大规模日本多模态后训练数据集，包含约920万个实例，涵盖多样任务。该数据集用于训练LLM-jp-4-VL 9B beta模型。它通过收集广泛的源数据构建，包括图像-文本对数据集（如WAON）和PDF语料库（如FinePDFs-Edu），然后通过多种方法（如基于VLM的问答生成和翻译）生成视觉问答（VQA）数据。
Jagle is a large-scale Japanese multimodal post-training dataset, comprising approximately 9.2 million instances across diverse tasks. Jagle was used to train LLM-jp-4-VL 9B beta. It is constructed by collecting a wide range of source data, including image–text pair datasets such as WAON and PDF corpora like FinePDFs-Edu, and then generating VQA data through various methods such as VLM-based QA generation and translation.
提供机构：
llm-jp
