datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TextVQA_GT_bbox
TextVQA validation set with grounding truth bounding box
The dataset used in the paper MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs for studying MLLMs' attention patterns.
The dataset is sourced from TextVQA and annotated manually with ground-truth bounding boxes.
We consider questions with a single area of interest in the image so that 4370 out of 5000 samples are kept.
Citation
If you find our paper and code useful… See the full description on the dataset page: https://huggingface.co/datasets/jrzhang/TextVQA_GT_bbox.Chinese-Image-Text-Corpus-dataset
REILX/Chinese-Image-Text-Corpus-dataset
[ English | 中文 ]
Introduction
The REILX/Chinese-Image-Text-Corpus-dataset is a multimodal dataset that pairs Chinese textual data with corresponding images. This dataset is derived from the Chinese-Xinhua Dictionary Database, which includes idioms, single characters, words, and aphorisms.
Dataset Structure
The dataset is organized into the following categories:
Idioms: Traditional Chinese idioms with explanations and… See the full description on the dataset page: https://huggingface.co/datasets/REILX/Chinese-Image-Text-Corpus-dataset.