datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ChartQAIf you wanna use the dataset, you need to download the zip file manually from the "Files and versions" tab.
Please note that this dataset can not be directly loaded with the load_dataset function from the datasets library.
If you want a version of the dataset that can be loaded with the load_dataset function, you can use this one: https://huggingface.co/datasets/ahmed-masry/chartqa_without_images
But it doesn't contain the chart images. Hence, you will still need to use the images stored in… See the full description on the dataset page: https://huggingface.co/datasets/ahmed-masry/ChartQA.ChartGemma
Dataset Card for the ChartGemma dataset.
If you wanna load the dataset, you can run the following code:
from datasets import load_dataset
dataset = load_dataset('ahmed-masry/ChartGemma')
The dataset has the following structure:
DatasetDict({
train: Dataset({
features: ['image', 'input', 'output'],
num_rows: 163240
})
})
Each row consist of the image, the input query, and the output label.
To load the image, we suggest using the following piece of code:… See the full description on the dataset page: https://huggingface.co/datasets/ahmed-masry/ChartGemma.UniChart-pretrain-images