datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
aptos-fundus-imagesaptos
Dataset Card for "aptos"
More Information needed
aptos_train
Dataset Card for "aptos_dataset"
More Information needed
APTOS2019DiabeticRetinopathyAPTOS2025_OphNet-CatAPTOS25aptos
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Asia Pacific Tele-Ophthalmology Society (APTOS) dataset. The images consist of retina scan images to detect diabetic retinopathy.
The original dataset is available at APTOS 2019 Blindness Detection.
These images are resized into 224x224 pixels so that they can be readily used with… See the full description on the dataset page: https://huggingface.co/datasets/bumbledeep/aptos.Aptos-blindness-detectionaptos_train_test
Dataset Card for "aptos_train_test"
More Information needed
APTOS2025_OphNetAptos
Aptos - Diabetic Retinopathy Grading
Description
This dataset contains retinal fundus images for diabetic retinopathy grading using the Davis Scale. The task involves classifying the severity of diabetic retinopathy from retinal images into multiple grades. 16 reasoning traces were collected for each example in this task by sampling with GPT-4o, available in the responses column. We greatly appreciate and build from the original data source available at… See the full description on the dataset page: https://huggingface.co/datasets/OctoMed/Aptos.aptos_catAPTOS-2019_datasetaptos_gaussian_filtered
Dataset Card for "aptos_gaussian_filtered"
More Information needed
diabetic-retinopathy-aptosaptos_test
Dataset Card for "aptos_dataset2"
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aptosAptos_vulnerability_audit_dataset
Uploaded Dataset
Name: Aptos_vulnerability_audit_dataset
Organization: Armur
Project: Aptos Smart Contract Audit
License: apache-2.0
Language: en
w3sa-bm-aptos
W3SA - Aptos Codebase Benchmark
Overview
This repository contains the code for the W3SA Benchmark for Aptos. This benchmark targets Move-based smart contracts deployed on the Aptos blockchain. The benchmark includes audited projects and CTF challenges, providing a comprehensive collection of real-world code examples with known vulnerabilities.
Project Statistics
aptos_audits
The benchmark contains 10 projects with a total of 99 files. Each project… See the full description on the dataset page: https://huggingface.co/datasets/almanax/w3sa-bm-aptos.AptosAPTOS-2019_datasetaptosaptos-miniAPTO-SorryBench-JA
APTO-SorryBench-JA
APTO-SorryBench-JA is a Japanese translated and annotated version of the original Sorry-Bench dataset for AI safety evaluation research.
Sorry-Bench is a benchmark designed to evaluate whether Large Language Models (LLMs) appropriately refuse harmful requests while still providing helpful responses to safe requests.
The original English prompts are preserved alongside the Japanese translations to improve traceability and facilitate comparison with the original… See the full description on the dataset page: https://huggingface.co/datasets/APTO-001/APTO-SorryBench-JA.aptos_develop
Aptos-Move-QA-5K: A High-Quality Instruction Dataset for Move on Aptos
Welcome to the Aptos-Move-QA-5K dataset, a specialized collection of over 5,000 high-quality question-and-answer pairs designed to fine-tune Large Language Models (LLMs) into expert assistants for the Move programming language on the Aptos blockchain.
This dataset was curated by Cotrain.AI as a foundational step in our mission to build open, specialized, and community-driven artificial intelligence.… See the full description on the dataset page: https://huggingface.co/datasets/forFrank/aptos_develop.AptosSC
Uploaded dataset
Developed by: SoumilB7
Organization: Armur
Project: Aptos Smart Contract Audit
License: apache-2.0
aptos_val2_fAptos_preprocessed_datasetaptos_val2APTOS_Competition_stage_1
