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Data · dataset · 2025

vectara/open_ragbench

Listed in Hugging Face Datasets

Description

Open RAG Benchmark The Open RAG Benchmark is a unique, high-quality Retrieval-Augmented Generation (RAG) dataset constructed directly from arXiv PDF documents, specifically designed for evaluating RAG systems with a focus on multimodal PDF understanding. Unlike other datasets, Open RAG Benchmark emphasizes pure PDF content, meticulously extracting and generating queries on diverse modalities including text, tables, and images, even when they are intricately interwoven within a… See the full description on the dataset page: huggingface.co/datasets/vectara/open_ragbench.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 65% · Text 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsvectara/open_ragbench15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:imageenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0