datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MedXpertQAFork of TsinghuaC3I/MedXpertQA
converted to:
Remove answer choices from question
Wrap images as binary object
Classify categorical information into class labels
Metadata
Name
#train
#val
#test
img#train
img#val
img#test
MedXpertQA (Text)
0
5
2,450
0
0
0
MedXpertQA (MM)
0
5
2,000
0
6
2,852
Conversion script
from pathlib import Path
from datasets import ClassLabel, Dataset, Features, Image, Sequence, Value
OPTIONS = ["A", "B", "C", "D", "E"… See the full description on the dataset page: https://huggingface.co/datasets/CAIR-M3LLM/MedXpertQA.MCiteBench
MCiteBench Dataset
MCiteBench is a benchmark for evaluating the ability of Multimodal Large Language Models (MLLMs) to generate text with citations in multimodal contexts.
Websites: https://caiyuhu.github.io/MCiteBench
Paper: https://arxiv.org/abs/2503.02589
Code: https://github.com/caiyuhu/MCiteBench
Data Download
Please download the MCiteBench_full_dataset.zip. It contains the data.jsonl file and the visual_resources folder.
Data Statistics… See the full description on the dataset page: https://huggingface.co/datasets/caiyuhu/MCiteBench.