Skip to main content

Glaucoma Expert Chain-of-Thought Refined Dataset

Revised glaucoma reasoning reports paired with the documented source fundus cases.

At a glance​

FieldValue
Short nameglaucoma_expert_cot_refined
Full nameGlaucoma Expert Chain-of-Thought Refined Dataset
Publication dateUnknown
Date basisUnknown
Publication date precisionUnknown
Publication date evidenceUnknown
Publication date source fieldUnknown
Publication date reviewedUnknown
Date notes-
Primary categoryfundus
Resource roleannotation_layer
Dataset familyglaucoma_expert_cot_refined
Contained modalitiesfundus
Tasksclassification, image_text
Primary reported quantity1,074 image report pairs
ClassesNot reported (Not reported)
Splitsall
SizeNot reported
Source-stated termsOther; source-image terms apply
Normalized termsunknown
Descriptive screening labelUnknown or unclear; do not assume permission
Terms scopedataset_files
Access frictionself_service_authenticated
Route backendHuggingFace Hub
Availabilityavailable (checked 2026-08-02)
Acquisition supportstandard_platform_supported
Legacy sample-loader statusMetadata and access only

Reported quantities​

RoleCountUnitScopeBasisEvidence
Primary1,074image_report_pairsSource reports 1,074 fundus cases with refined JSONL reasoning records. Source-stated quantity; repository file count is separate.official_source_descriptionhuggingface.co/datasets

Counts retain their source-reported units. Additional rows can describe components, paired items, or derivative copies and are not automatically added to the primary quantity.

Notes​

Current refined release. The earlier raw reasoning release is retained as version history and is not counted separately.

Documented relationships​

These links record source-supported lineage or overlap, not merely similar modality tags.

  • This record is derived from lag: The official dataset card identifies LAG and PAPILA as the source fundus resources paired with the refined glaucoma reasoning records. (evidence)
  • This record is derived from papila: The official dataset card identifies LAG and PAPILA as the source fundus resources paired with the refined glaucoma reasoning records. (evidence)

Access information and download​

# Read-only preflight
eyehub download glaucoma_expert_cot_refined --data-dir ./data --dry-run --json

# Download, only when preflight reports supported behavior
eyehub download glaucoma_expert_cot_refined --data-dir ./data

Upstream page: huggingface.co/datasets

Other documented locations​

These links identify alternate deposits, components, metadata records, mirrors, versions, or related derived materials. They do not create additional canonical catalog records.

Source-term evidence: huggingface.co/datasets

Loader status​

This catalog record provides metadata and access instructions, but it does not yet include a standard DatasetSample loader. Inspect the source file structure or contribute a loader before using it in a training pipeline.

Citation​

@misc{glaucoma_expert_cot_refined,
title = { Glaucoma Expert Chain-of-Thought Refined Dataset },
note = { Repository dataset record. yuzhench/glaucoma-expert-cot-refined-1077 },
url = { https://huggingface.co/datasets/yuzhench/glaucoma-expert-cot-refined-1077 },
}

Source-stated terms​

  • Raw source string: Other; source-image terms apply
  • Normalized category: unknown
  • Apparent scope: dataset_files
  • Descriptive screening label: Unknown or unclear; do not assume permission

⚠️ Source-stated terms, scope, and normalized labels are curation metadata, not legal advice or a permission finding. Review the current official source before transfer or reuse.

Similar resources by shared modality​

  • airogs: AIROGS: AI for Robust Glaucoma Screening (113,893 images, cc-by-nc-nd)
  • multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (103,959 images, mit)
  • eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 question answer pairs, unknown)
  • justraigs: JustRAIGS: Just Referral AI Glaucoma Screening Dataset (101,442 images, cc-by-nc-nd)
  • eyepacs: EyePACS — Diabetic Retinopathy Detection (Kaggle 2015) (88,702 images, research-only)
  • angioreport: AngioReport Fundus Angiography Report Dataset (55,361 images, unknown)
  • ffa_ir: FFA-IR Medical Report Dataset (47,247 images, unknown)
  • mfiddr: MFIDDR: Multi-Field Imaging Dataset for Diabetic Retinopathy (34,452 images, mit)