GA-Bench Dataset: 10,000 Source-Linked Graphical Abstracts for Evaluating IMRaD Coverage

GA-Bench Dataset: 10,000 Source-Linked Graphical Abstracts for Evaluating IMRaD Coverage GA-Bench is a source-linked dataset of 10,000 open-access paper–graphical-abstract pairs published between 2018 and 2026. The collection spans 34 overlapping subject areas and more than 400 journals from a controlled single-publisher corpus. Each record connects a publisher-hosted graphical abstract to its source article, bibliographic metadata, extracted full text, IMRaD-structured sections… See the full description on the dataset page: https://huggingface.co/datasets/shafayet217/GA-Bench.

Type: Dataset
Imported from Hugging Face
License: other
Source: https://huggingface.co/datasets/shafayet217/GA-Bench
Tags: graphical-abstracts, scholarly-document-processing, multimodal, vision-language-models, document-understanding, digital-libraries, scientific-figures, scientific-document-understanding, scholarly-communication, multimodal-evaluation, source-grounded-evaluation
Updated: 2026-10-01

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