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Imaging · dataset · 2024

StanfordAIMI/CheXpert-v1.0-512

Listed in Hugging Face Datasets

Description

Around 30GB (dataset) and 8 GB (saved jpg) from datasets import load_dataset import os # Define the dataset name and the splits you want to download dataset_name = 'StanfordAIMI/CheXpert-v1.0-512' splits = ['train'] # You can add more splits if available # Define the output directory output_dir = 'CheXpert-v1.0-512' # Iterate over each split for split in splits: print(f"Processing split: {split}") # Load the dataset splitdataset = load_dataset(dataset_name, split=split) #… See the full description on the dataset page: huggingface.co/datasets/StanfordAIMI/CheXpert-v1.0-512.

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image · text
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsStanfordAIMI/CheXpert-v1.0-51213 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[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
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