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kk456123/VisRAG-Ret-Train-Synthetic-data

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Hugging Face2026-03-29 更新2026-04-12 收录
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https://hf-mirror.com/datasets/kk456123/VisRAG-Ret-Train-Synthetic-data
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资源简介:
--- dataset_info: features: - name: query dtype: string - name: image dtype: image - name: source dtype: string splits: - name: train num_bytes: 162661189879.306 num_examples: 239358 download_size: 160347370819 dataset_size: 162661189879.306 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic --- ## Dataset Description This dataset is the synthetic part of the training set of [VisRAG](https://huggingface.co/openbmb/VisRAG) it includes 239,358 Query-Document (Q-D) Pairs from a synthetic dataset made up of pages from web-crawled PDF documents and augmented with VLM-generated (GPT-4o) pseudo-queries. Our training data is organized with a batch size of 128, ensuring that all data within the same batch comes from the same dataset. | Name | Source | Description | # Pages | |----------------|----------------------------------------|------------------------------------------------------|---------| | Textbooks | [https://openstax.org/](https://openstax.org/) | College-level textbooks including various subjects | 10,000 | | ICML Papers | ICML 2023 | ICML papers on various topics | 5,000 | | NeurIPS Papers | NeurIPS 2023 | NeurIPS papers on various topics | 5,000 | | Manuallib | [https://www.manualslib.com/](https://www.manualslib.com/) | Manuals of various kinds of products | 20,000 | ### Load the dataset ```python from datasets import load_dataset ds = load_dataset("openbmb/VisRAG-Ret-Train-Synthetic-data", split="train") ```

--- 数据集信息: 特征: - 名称:查询(query),数据类型:字符串 - 名称:图像(image),数据类型:图像 - 名称:来源(source),数据类型:字符串 数据集划分: - 划分名称:训练集(train),字节数:162661189879.306,样本数量:239358 下载大小:160347370819,数据集总大小:162661189879.306 配置: - 配置名称:默认(default),数据文件: - 划分:训练集(train),路径:data/train-* 标签: - 合成(synthetic) --- ## 数据集描述 本数据集为[VisRAG](https://huggingface.co/openbmb/VisRAG)训练集的合成子集,共包含239,358条查询-文档(Query-Document, Q-D)对,其源自由网络爬取的PDF文档页面构建,并通过视觉语言模型(Vision-Language Model, VLM)生成的GPT-4o伪查询进行增强的合成数据集。 本训练数据以批次大小128进行组织,确保同一批次内的所有数据均来自同一来源数据集。 | 名称 | 来源 | 描述 | 页面数量 | |----------------|----------------------------------------|------------------------------------------------------|---------| | 教科书(Textbooks) | [https://openstax.org/](https://openstax.org/) | 涵盖多门学科的大学水平教科书 | 10,000 | | ICML论文(ICML Papers) | ICML 2023 | 各主题的ICML论文 | 5,000 | | NeurIPS论文(NeurIPS Papers) | NeurIPS 2023 | 各主题的NeurIPS论文 | 5,000 | | 手册库(Manuallib) | [https://www.manualslib.com/](https://www.manualslib.com/) | 各类产品的使用手册 | 20,000 | ### 加载数据集 python from datasets import load_dataset ds = load_dataset("openbmb/VisRAG-Ret-Train-Synthetic-data", split="train")
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