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Text · dataset · 2024

General-Medical-AI/SlideChat

Listed in Hugging Face Datasets

Description

Introduction This repository provides the dataset resources used for training and evaluating SlideChat, a multimodal large language model for whole-slide pathology image understanding. The dataset includes both instruction-following training data and VQA/Caption evaluation benchmarks across multiple pathology cohorts and tasks. Contents Training Instruction Data SlideInstruct_train_stage1_caption.json: Slide-level caption instruction data used for Stage-1… See the full description on the dataset page: huggingface.co/datasets/General-Medical-AI/SlideChat.

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Catalogue records · 1

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Artificial intelligence 72% · Image 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsGeneral-Medical-AI/SlideChat13 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].anzsrc:group:4602enrichment · Hugging Facetaxonomy-embedding@1.1.0title+keywords+description (72%)
concepts[field].local:field:computer-science-aimapping · 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%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0