datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
UnifiedReward-2.0-T2X-score-data
Dataset Summary
UnifiedReward-2.0-T2X-score-data is added for our UnifiedReward-2.0-qwen-[3b/7b/32b/72b] training.
This dataset enables UnifiedReward-2.0 introducing several new capabilities:
Pairwise scoring for image and video generation assessment on Alignment, Coherence, Style dimensions.
Pointwise scoring for image and video generation assessment on Alignment, Coherence/Physics, Style dimensions.
Welcome to try the latest version, and the inference code is available at… See the full description on the dataset page: https://huggingface.co/datasets/CodeGoat24/UnifiedReward-2.0-T2X-score-data.UnifiedReward-Flex-SFT-90K
UnifiedReward-Flex-SFT-90K
This repository releases 90K SFT data of UnifiedReward-Flex.
For further details, please refer to the following resources:
📰 Paper: https://arxiv.org/abs/2602.02380
🪐 Project Page: https://codegoat24.github.io/UnifiedReward/flex
🤗 Model Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-flex
🤗 Dataset: https://huggingface.co/datasets/CodeGoat24/UnifiedReward-Flex-SFT-90K
👋 Point of Contact: Yibin Wang
Citation… See the full description on the dataset page: https://huggingface.co/datasets/CodeGoat24/UnifiedReward-Flex-SFT-90K.Project_CodeNet_Python800_and_Java250
Introduction
This is the dataset Project_CodeNet_Python800 and Project_CodeNet_Java250 from Project CodeNet (arxiv).
We are not the authors of Project CodeNet, but we are the authors of Heterogeneous Directed Hypergraph Neural Network (HDHGN) in paper Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification (official, arxiv).
Our HDHGN model utilizes the Python800 and Java250 datasets.
The original official dataset links Python800 and… See the full description on the dataset page: https://huggingface.co/datasets/qiankunmu/Project_CodeNet_Python800_and_Java250.VIDEOGENCIDhecto_for_code_verification
Assets for Dacon Deepfake Detection Challenge Verification
This repository hosts the necessary assets (datasets and model weights) for the Code Verification and Reproducibility Check of the Dacon Deepfake Detection Challenge (2nd Evaluation Phase).
All files are structured to be compatible with the automated download scripts provided in the submission package.
Repository Structure
1. Model Weights (model/, weights/)
model/model.pt (Golden Model)
Description:… See the full description on the dataset page: https://huggingface.co/datasets/object2021/hecto_for_code_verification.efficient-speech-codec
Efficient Speech Codec
Paper
Code
Demo Page
CodeNetDiffuEraser-finetune-prompt-codeResultcodepmp_pairsgat-code-dataset
