AILab-CVC/SEED-Bench-2
SEED-Bench Card Benchmark details Benchmark type: SEED-Bench-2 is a comprehensive large-scale benchmark for evaluating Multimodal Large Language Models (MLLMs), featuring 24K multiple-choice questions with precise human annotations. It spans 27 evaluation dimensions, assessing both text and image generation. Benchmark date: SEED-Bench was collected in November 2023. Paper or resources for more information: https://github.com/AILab-CVC/SEED-Bench License:… See the full description on the dataset page: https://huggingface.co/datasets/AILab-CVC/SEED-Bench-2.
| Author / organization | AILab-CVC |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 711 (as reported by Hugging Face) |
| Likes | 14 |
| Created | 18 December 2023 |
| Last updated at source | 18 December 2023 |
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