← Search

Imaging · dataset · 2026

ai9stars/HiEviDR-Bench

Listed in Hugging Face Datasets

Description

HiEviDR-Bench HiEviDR-Bench is a benchmark for evaluating Hierarchical Evidence aggregation in multimodal Deep Research. It is designed to assess whether a model can correctly retrieve, connect, and synthesize evidence from large-scale heterogeneous sources, rather than merely producing a fluent final answer or report. Unlike existing benchmarks that mainly focus on final outcomes such as answer correctness, report quality, or citation alignment, HiEviDR-Bench provides… See the full description on the dataset page: huggingface.co/datasets/ai9stars/HiEviDR-Bench.

Links

Where it is published

Documentation and papers

Catalogue records · 1

Topics

Stated by source
image · visual question answering
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsai9stars/HiEviDR-Bench15 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].hf_modality:imagesource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:visual-question-answeringsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
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