Datasetpublic

yuzhench/glaucoma-expert-cot-raw-1077

Glaucoma Expert Chain-of-Thought Ophthalmologist six-step reasoning reports for fundus photographs, each paired with a binary glaucoma label. 1,074 cases from LAG and Papila. Files file rows split expert_cot_trainval.jsonl 915 train (823) + val (92) expert_cot_test.jsonl 159 test images/ 1,074 <source>_<id>.jpg Record schema { "id": "1689", "source": "LAG", "image": "LAG_1689.jpg", "split": "train"… See the full description on the dataset page: https://huggingface.co/datasets/yuzhench/glaucoma-expert-cot-raw-1077.

sourceHugging Faceotherupdated 2mo agoView on Hugging Face

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Dataset Card

Glaucoma Expert Chain-of-Thought

Ophthalmologist six-step reasoning reports for fundus photographs, each paired with a binary glaucoma label. 1,074 cases from LAG and Papila.

Files

file	rows	split
`expert_cot_trainval.jsonl`	915	train (823) + val (92)
`expert_cot_test.jsonl`	159	test
`images/`	1,074	`<source>_<id>.jpg`

Record schema

json

{
  "id": "1689",
  "source": "LAG",
  "image": "LAG_1689.jpg",
  "split": "train",
  "final_diagnosis_GT": "likely",
  "expert_cot": {
    "Step1 - Image Quality Assessment": "...",
    "Step2 - CDR Evaluation": "...",
    "Step3 - ISNT Rule Analysis": "...",
    "Step4 - Glaucomatous Signs Check": "...",
    "Step5 - Structural Summary": "...",
    "Step6 - Final Classification": "..."
  }
}

final_diagnosis_GT is likely / not likely.

Source datasets and licensing

The fundus images come from two public datasets, redistributed here for research under their original terms:

—LAG — Large-scale Attention-based Glaucoma dataset (Li et al., CVPR 2019).
—Papila — Kovalyk et al., Scientific Data, 2022 (CC-BY-4.0).

Please cite the original datasets when using the images and follow each dataset's license.