Datasetpublic

fairdataihub/envision-eye-imaging-training-data

ENVISION Eye Imaging Training Data Training dataset for the ENVISION eye imaging classifier. Dataset Description 994 curated text examples for binary classification of eye imaging datasets from scientific metadata. Label Count Description EYE_IMAGING 365 Ophthalmic imaging datasets (fundus, OCT, OCTA, cornea) NEGATIVE 629 Non-imaging data (software, other eye research, unrelated) Source Composition EYE_IMAGING (365): 77… See the full description on the dataset page: https://huggingface.co/datasets/fairdataihub/envision-eye-imaging-training-data.

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Dataset Card

ENVISION Eye Imaging Training Data

Training dataset for the ENVISION eye imaging classifier.

Dataset Description

994 curated text examples for binary classification of eye imaging datasets from scientific metadata.

Label	Count	Description
EYE_IMAGING	365	Ophthalmic imaging datasets (fundus, OCT, OCTA, cornea)
NEGATIVE	629	Non-imaging data (software, other eye research, unrelated)

Source Composition

EYE_IMAGING (365):

—77 hand-curated examples from multi-repository sources
—288 expert-verified positives from cross-repository classification

NEGATIVE (629):

—502 general negative examples
—48 eye-related software examples (hard negatives)
—79 non-imaging eye data examples (hard negatives)

Data Format

Each example is a text string representing concatenated metadata fields (title, description, keywords, file types) from scientific data repositories (Zenodo, Figshare, Dryad, Kaggle, NEI).

Usage

python

from datasets import load_dataset

ds = load_dataset("fairdataihub/envision-eye-imaging-training-data")

Citation

—EyeACT Envision project
—FAIR Data Innovations Hub (fairdataihub.org)