BEAF
BEAF: Before-After Changes for Hallucination Evaluation BEAF is a benchmark for evaluating object hallucination in vision-language models using…
1,418 results
BEAF: Before-After Changes for Hallucination Evaluation BEAF is a benchmark for evaluating object hallucination in vision-language models using…
MultiChartQA This repository contains the questions and answers for our Multi-chart Benchmark. At present, only the data is…
DocVQA 2026 ICDAR2026 Competition on Multimodal Reasoning over Documents in Multiple Domains Building upon previous DocVQA benchmarks, this…
GQA-ru This is a translated version of original GQA dataset and stored in format supported for lmms-eval pipeline.…
VisionArena-Bench: An automatic eval pipeline to estimate model preference rankings An automatic benchmark of 500 diverse user prompts…
Dataset Card for VLFeedback Homepage: Repository: Paper: Dataset Summary VLFeedback is a large-scale vision-language preference dataset, annotated by…
AgentVQA: A Multi-Domain Visual Question Answering Dataset AgentVQA is a comprehensive dataset for training and evaluating visual agents…
Ⅰ 数据集 本轮训练用到的图文数据全部来自 ALLaVA-4V 系列。 相比以往从几份 LLaVA 衍生集拼接得到的数据,ALLaVA-4V 的质量更整齐、中英双语原生对照,细粒度描述也更充分。 它由两个子源构成:一份是 LAION 里挑出来的高质量图片(自然图像为主),一份是 VFLAN…
BoundingDocs 🔍 The largest spatially-annotated dataset for Document Question Answering Dataset Description BoundingDocs is a unified dataset for…