gqa
Datasets
All datasets matching “gqa”GQA
Large-scale Multi-modality Models Evaluation Suite
Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval
🏠 Homepage | 📚 Documentation | 🤗 Huggingface Datasets
This Dataset
This is a formatted version of GQA. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@inproceedings{hudson2019gqa,
title={Gqa: A new dataset for real-world visual reasoning and compositional… See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab-encoder/GQA.GQA-Scene-Graph
Dataset Card for GQA-35k
The GQA (Visual Reasoning in the Real World) dataset is a large-scale visual question answering dataset that includes scene graph annotations for each image.
This is a FiftyOne dataset with 35000 samples.
Note: This is a 35,000 sample subset which does not contain questions, only the scene graph annotations as detection-level attributes.
You can find the recipe notebook for creating the dataset here
Installation
If you haven't already… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/GQA-Scene-Graph.NExT-GQA
Can I Trust Your Answer? Visually Grounded Video Question Answering
Introduction
We study visually grounded VideoQA by forcing vision-language models (VLMs) to answer questions and simultaneously ground the relevant video moments as visual evidences. We show that this task is easy for human yet is extremely challenging for existing VLMs, revealing that the strong QA performance of these models may largely due to short-cut learning (e.g., language priors and spurious vision-text… See the full description on the dataset page: https://huggingface.co/datasets/jinyoungkim/NExT-GQA.GQA
Large-scale Multi-modality Models Evaluation Suite
Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval
🏠 Homepage | 📚 Documentation | 🤗 Huggingface Datasets
This Dataset
This is a formatted version of GQA. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@inproceedings{hudson2019gqa,
title={Gqa: A new dataset for real-world visual reasoning and compositional question… See the full description on the dataset page: https://huggingface.co/datasets/pppop7/GQA.gqagqa_tsv