datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Ivy-Fake
IVY-FAKE: Unified Explainable Benchmark and Detector for AIGC Content
This repository provides the official implementation of IVY-FAKE and IVY-xDETECTOR, a unified explainable framework and benchmark for detecting AI-generated content (AIGC) across both images and videos.
🔍 Overview
IVY-FAKE is the first large-scale dataset designed for multimodal explainable AIGC detection. It contains:
150K+ training samples (images + videos)
18.7K evaluation samples
Fine-grained… See the full description on the dataset page: https://huggingface.co/datasets/Julien0123/Ivy-Fake.Ivy-Fake
IVY-FAKE: Unified Explainable Benchmark and Detector for AIGC Content
This repository provides the official implementation of IVY-FAKE and IVY-xDETECTOR, a unified explainable framework and benchmark for detecting AI-generated content (AIGC) across both images and videos.
🔍 Overview
IVY-FAKE is the first large-scale dataset designed for multimodal explainable AIGC detection. It contains:
150K+ training samples (images + videos)
18.7K evaluation samples
Fine-grained… See the full description on the dataset page: https://huggingface.co/datasets/yishiliu/Ivy-Fake.moh_8_fake_rollouts
MOH-8 Fake Rollouts
480 math competition problems, each with 8 candidate solution rollouts from OSS 120B.
A controlled number of rollouts per problem are correct — use this to train/test a
verifier model that must identify which solutions are right.
Source
Problems and rollouts sampled from aimosprite/training-data-oss120b (the oss128-fixed-FINAL.jsonl file).
Only polymath-source problems in the 2/8–4/8 pass rate range (32–64 correct out of 128 attempts).
4 problems… See the full description on the dataset page: https://huggingface.co/datasets/aimosprite/moh_8_fake_rollouts.Fakeyou3.0