Constarium
← Search

Text · dataset · 2026

PathoVernier

Listed in Hugging Face Datasets

Description

PathoVernier PathoVernier is a benchmark for quantitative cell-composition reasoning on H&E histopathology patches. Each question requires counting specific nucleus types in specific image regions and deriving an answer from those counts with a deterministic rule. Reference counts come from expert nucleus annotations, so a model's reported counts can be checked in addition to its final answer. 759 questions on 553 256x256 patches, after review by four board-certified… See the full description on the dataset page: huggingface.co/datasets/Mikezcy/PathoVernier.

Links

Get the data

Catalogue records · 1

Topics

Stated by source
tabular · text · visual question answering
Inferred from text
Image 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsMikezcy/PathoVernier7 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:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:imageenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
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