This is the official dataset for the Agentic-MME benchmark, featured in Hugging Face Daily Papers.
Agentic-MME is a comprehensive benchmark designed to evaluate the abilities of multimodal agents in tool-use, web searching, and multi-step reasoning through visual clues.
You can load the dataset using the Hugging Face datasets library:
from datasets import load_dataset
dataset = load_dataset("Crystal1047/Agentic-MME")
# To see the first record
print(dataset["train"][0])
4 commits
This is the official dataset for the Agentic-MME benchmark, featured in Hugging Face Daily Papers.
Agentic-MME is a comprehensive benchmark designed to evaluate the abilities of multimodal agents in tool-use, web searching, and multi-step reasoning through visual clues.
You can load the dataset using the Hugging Face datasets library:
from datasets import load_dataset
dataset = load_dataset("Crystal1047/Agentic-MME")
# To see the first record
print(dataset["train"][0])
4 commits