datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mmevol-zh-hant
MMEvol - Translated Chinese Traditional
A subset of Tongyi-ConvAI/MMEvol translated using yentinglin/Llama-3-Taiwan-70B-Instruct from english to traditional chinese.
Read the Note below before use.
Image source distribution:
Dataset
Count
Percentage
coco
6598
29.8%
Q-Instruct-DB
5856
26.4%
clevr
2383
10.8%
chartqa
1733
7.8%
hfdata
1296
5.9%
geo170k
706
3.2%
data_engine
6983.2%
mathvision
644
2.9%
docvqa
600
2.7%
alfworld
401
1.8%
arxivqa
337
1.5%… See the full description on the dataset page: https://huggingface.co/datasets/syntaxsynth/mmevol-zh-hant.arcade-syntaxsyntax-laion-32k
Dataset Card for "syntax-laion-32k"
More Information needed
OEQ
OEQ Dataset
OEQ is a multimodal open-ended question-answering dataset containing questions with text, image, and table contexts. Answers may be provided as text or visual responses.
The dataset is organized into configurations based on the context and response types, making it suitable for evaluating text-based and multimodal reasoning models.
from datasets import load_dataset
dataset = load_dataset(
"syntaxMaster/OEQ",
"context_image_only__text_response"
)
MCQHere’s a smaller README description:
MCQ Dataset
MCQ is a multimodal multiple-choice question-answering dataset containing questions with text, tables, and images. Answer choices may also be provided as text or images.
The dataset is organized into configurations based on the context and option types, making it suitable for evaluating text-based and multimodal reasoning models.
from datasets import load_dataset
dataset = load_dataset(
"syntaxMaster/MCQ"… See the full description on the dataset page: https://huggingface.co/datasets/syntaxMaster/MCQ.