datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
t2-ragbench
Dataset Card for T2-RAGBench
Project Page | Paper | Code
IMPORTANT NOTICE:
We deleted VQAonBD from the dataset due to low quality of the question reformulations. If you still want to use it you will find the data in the previous commit history.
Dataset Description
Dataset Summary
T2-RAGBench is a benchmark dataset designed to evaluate Retrieval-Augmented Generation (RAG) on financial documents containing both text and tables. It consists of 23,088… See the full description on the dataset page: https://huggingface.co/datasets/G4KMU/t2-ragbench.t2-ragbench
Dataset Card for T2-RAGBench
Project Page | Paper | Code
IMPORTANT NOTICE:
We deleted VQAonBD from the dataset due to low quality of the question reformulations. If you still want to use it you will find the data in the previous commit history.
Dataset Description
Dataset Summary
T2-RAGBench is a benchmark dataset designed to evaluate Retrieval-Augmented Generation (RAG) on financial documents containing both text and tables. It consists of 23,088… See the full description on the dataset page: https://huggingface.co/datasets/botay/t2-ragbench.T2I-CoReBench
Easier Painting Than Thinking: Can Text-to-Image Models
Set the Stage, but Not Direct the Play?
Ouxiang Li1*, Yuan Wang1, Xinting Hu†, Huijuan Huang2‡, Rui Chen2, Jiarong Ou2,
Xin Tao2†, Pengfei Wan2, Xiaojuan Qi3, Fuli Feng1
1University of Science and Technology of China, 2Kling Team, Kuaishou Technology, 3The University of Hong Kong
*Work done during internship… See the full description on the dataset page: https://huggingface.co/datasets/lioooox/T2I-CoReBench.t2-ragbench
Dataset Card for T2-RAGBench
Project Page | Paper | Code
IMPORTANT NOTICE:
We deleted VQAonBD from the dataset due to low quality of the question reformulations. If you still want to use it you will find the data in the previous commit history.
Dataset Description
Dataset Summary
T2-RAGBench is a benchmark dataset designed to evaluate Retrieval-Augmented Generation (RAG) on financial documents containing both text and tables. It consists of 23,088… See the full description on the dataset page: https://huggingface.co/datasets/grasson/t2-ragbench.DIM-T2I
[ICLR 2026] Draw-In-Mind: Rebalancing Designer-Painter Roles in Unified Multimodal Models Benefits Image Editing
Ziyun Zeng, David Junhao Zhang, Wei Li,
and Mike Zheng Shou
📰 News
[2026-05-12] The DIM project page is available.
[2026-01-26] 🎉 DIM is accepted to ICLR 2026!
[2025-10-08] 🚀 Released the DIM-Edit dataset and the DIM-4.6B-T2I / DIM-4.6B-Edit models.
[2025-09-02] 📝 The DIM paper is released on arXiv.
🌟 Highlights
🧠… See the full description on the dataset page: https://huggingface.co/datasets/stdKonjac/DIM-T2I.t2-ragbench
Dataset Card for T2-RAGBench
Project Page | Paper | Code
IMPORTANT NOTICE:
We deleted VQAonBD from the dataset due to low quality of the question reformulations. If you still want to use it you will find the data in the previous commit history.
Dataset Description
Dataset Summary
T2-RAGBench is a benchmark dataset designed to evaluate Retrieval-Augmented Generation (RAG) on financial documents containing both text and tables. It consists of 23,088… See the full description on the dataset page: https://huggingface.co/datasets/tomsummerfield/t2-ragbench.