datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tripmatch-ai-dataset
TripMatch AI Dataset
A reproducible multimodal dataset for the TripMatch AI Final Project. It contains
10,000 synthetic text trip plans with a raw idea generated for every row by the
pretrained Hugging Face model google/flan-t5-small, plus 5,000 real street-view images
retained as extra multimodal work. The two configurations are separate so Dataset
Viewer can load each schema correctly.
Dataset statistics
Configuration
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Main fields
Intended task… See the full description on the dataset page: https://huggingface.co/datasets/avihayamor/tripmatch-ai-dataset.cxr14-bpals-trial
NIH-CXR14-BPALS — Label-Quality Audit for NIH ChestX-ray14
By O5I | Patent pending (B-PALS) | Contact: hello@o5i.io
Start by finding what's wrong. Refine from there.
What it does
NIH ChestX-ray14's labels are derived automatically from radiology reports, not verified against the images — so a meaningful share are noisy or wrong (~80% reported accuracy). NIH-CXR14-BPALS independently re-examines each (image, label) pair with a vision-language model and returns a… See the full description on the dataset page: https://huggingface.co/datasets/o5i/cxr14-bpals-trial.TriALS-Report
TriALS-Report: A Multi-Center Benchmark for Abdominal Disease Diagnosis and Report Generation from Non-Contrast CT
Study workflow. Non-contrast CT volumes are paired with the triphasic contrast-enhanced report of the same patient; findings are extracted from the report to form the label space, and models are evaluated on disease diagnosis and report generation.
TriALS-Report is a multi-centre benchmark for abdominal disease diagnosis from non-contrast CT (NCCT), where the… See the full description on the dataset page: https://huggingface.co/datasets/marwankefah/TriALS-Report.