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README.md

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+---
+license: cc-by-nc-4.0
+task_categories:
+- visual-question-answering
+language:
+- en
+pretty_name: SEED-Bench
+size_categories:
+- 10K<n<100K
+---
+
+
+
+# SEED-Bench Card
+
+## Benchmark details
+
+**Benchmark type:**
+SEED-Bench is a large-scale benchmark to evaluate Multimodal Large Language Models (MLLMs).
+It consists of 19K multiple choice questions with accurate human annotations, which
+covers 12 evaluation dimensions including the comprehension of both the image and video modality.
+
+
+**Benchmark date:**
+SEED-Bench was collected in July 2023.
+
+**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, we use the data from Conceptual Captions Dataset (https://ai.google.com/research/ConceptualCaptions/)
+following its license (https://github.com/google-research-datasets/conceptual-captions/blob/master/LICENSE).
+Tencent does not hold the copyright for these images and the copyright belongs to the original owner of Conceptual Captions Dataset. 
+
+For the videos of SEED-Bench, we use tha data from Something-Something v2 (https://developer.qualcomm.com/software/ai-datasets/something-something),
+Epic-kitchen 100 (https://epic-kitchens.github.io/2023) and 
+Breakfast (https://serre-lab.clps.brown.edu/resource/breakfast-actions-dataset/). We only provide the video name. Please download them in their official websites.
+
+**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 is evaluate Multimodal Large Language Models on spatial and temporal 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.