Datasets:
Tasks:
Visual Question Answering
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
License:
license: cc-by-nc-4.0 | |
task_categories: | |
- visual-question-answering | |
language: | |
- en | |
pretty_name: SEED-Bench-2-Plus | |
size_categories: | |
- 1K<n<10K | |
# SEED-Bench-2-Plus Card | |
## Benchmark details | |
**Benchmark type:** | |
SEED-Bench-2-Plus is a large-scale benchmark to evaluate Multimodal Large Language Models (MLLMs). | |
It consists of 2.3K multiple-choice questions with precise human annotations, spanning three broad categories: Charts, Maps, | |
and Webs, each of which covers a wide spectrum of text-rich scenarios in the real world. | |
**Benchmark date:** | |
SEED-Bench-2-Plus was collected in April 2024. | |
**Paper or resources for more information:** | |
https://github.com/AILab-CVC/SEED-Bench | |
**License:** | |
Attribution-NonCommercial 4.0 International. It should abide by the policy of OpenAI: https://openai.com/policies/terms-of-use. | |
For the images of SEED-Bench-2-plus, we use data from the internet under CC-BY licenses. | |
Please contact us if you believe any data infringes upon your rights, and we will remove it. | |
**Where to send questions or comments about the benchmark:** | |
https://github.com/AILab-CVC/SEED-Bench/issues | |
## Intended use | |
**Primary intended uses:** | |
The primary use of SEED-Bench-2-Plus is evaluate Multimodal Large Language Models on text-rich visual understanding. | |
**Primary intended users:** | |
The primary intended users of the Benchmark are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence. |