AILab-CVC/SEED-Bench-2-plus
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… See the full description on the dataset page: https://huggingface.co/datasets/AILab-CVC/SEED-Bench-2-plus.
| Author / organization | AILab-CVC |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 165 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 27 April 2024 |
| Last updated at source | 27 April 2024 |
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- 16 Oct 2026 Description: 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, spanni → 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, spanni
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