Diabetic Retinopathy Arranged Dataset (Tianchi 93926)

35,126 fundus images organised for 5-class DR severity grading (ICDR grades 0-4): No DR 25,810 / Mild 2,443 / Moderate 5,292 / Severe 873 / Proliferative 708. Hosted on Alibaba Tianchi.

At a glance

Field	Value
Short name	dr_arranged
Full name	Diabetic Retinopathy Arranged Dataset (Tianchi 93926)
Primary category	fundus
Contained modalities	fundus
Tasks	grading, classification
Samples	35,126
Classes	5 (No DR, Mild DR, Moderate DR, Severe DR, Proliferative DR)
Splits	train, test
Size	8.0 GB
Source-stated terms	CC BY-NC-SA 4.0
Normalized terms	cc-by-nc-sa
Descriptive screening label	Explicit noncommercial clause recorded; check source
Terms scope	dataset_files
Access friction	self_service_authenticated
Route backend	Manual (upstream-gated)
Availability	available (checked 2026-07-21)
Acquisition support	guided_instructions_only
Legacy sample-loader status	Standard loader included

Notes

OVERLAP: This is the EyePACS Kaggle 2015 competition TRAIN split (35,126 images) mirrored on Tianchi. Same content as bidr (Kaggle mirror) and a strict subset of eyepacs (full 88,702). Kept for users who specifically reference the Tianchi 93926 mirror. Requires free registration at https://tianchi.aliyun.com. Log in → Datasets → 93926 → Download.

Access preflight and acquisition

CLI

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

# Explicit transfer, only when preflight reports supported behavior
eyehub download dr_arranged --data-dir ./data

Python

from eyedatahub.acquisition import preflight_dataset
from eyedatahub.datasets.registry import REGISTRY

ds = REGISTRY.get_dataset('dr_arranged')
print(preflight_dataset(ds, './data'))  # no transfer

Upstream page: tianchi.aliyun.com/dataset

Source-term evidence: tianchi.aliyun.com/dataset

Loader example

This entry includes a standard DatasetSample loader.

from pathlib import Path
from eyedatahub.datasets.registry import REGISTRY

data_dir = Path('~/.eyedatahub/data').expanduser()
ds = REGISTRY.get_dataset('dr_arranged')
samples = ds.load(data_dir, split='test')
for s in samples[:5]:
    print(s.sample_id, s.label, s.image_path)

Citation

BibTeX

@misc{dr_arranged,
  title  = { Diabetic Retinopathy Arranged Dataset (Tianchi 93926) },
  note   = { Diabetic Retinopathy Arranged Dataset. Tianchi Open Datasets, dataset ID 93926. https://tianchi.aliyun.com/dataset/93926 },
  url    = { https://tianchi.aliyun.com/dataset/93926 },
}

Plain text

Diabetic Retinopathy Arranged Dataset. Tianchi Open Datasets, dataset ID 93926. https://tianchi.aliyun.com/dataset/93926

Source-stated terms

• Raw source string: CC BY-NC-SA 4.0
• Normalized category: cc-by-nc-sa
• Apparent scope: dataset_files
• Descriptive screening label: Explicit noncommercial clause recorded; check source

⚠️ 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.

Related datasets with shared modalities

• airogs: AIROGS: AI for Robust Glaucoma Screening (113,893 records, cc-by-nc-nd)
• eyecare_100k: Eyecare-100K: Multimodal Ophthalmology VQA Corpus (102,000 records, unknown)
• justraigs: JustRAIGS: Just Referral AI Glaucoma Screening Dataset (101,442 records, cc-by-nc-nd)
• eyepacs: EyePACS — Diabetic Retinopathy Detection (Kaggle 2015) (88,702 records, research-only)
• multieye: MultiEYE: OCT-Enhanced Fundus Multi-Disease Benchmark (58,036 records, mit)
• angioreport: AngioReport Fundus Angiography Report Dataset (55,361 records, unknown)
• ffa_ir: FFA-IR Medical Report Dataset (47,247 records, unknown)
• bidr: BiDR: Diabetic Retinopathy Diagnosis Dataset (35,126 records, unknown)