Datasetpublic

kaze-desu/imagenet-r-test

imagenet-r-test-vqa This dataset has been converted to VQA format with: problem: Question with multiple-choice options (format: "What type of object is in the photo?\n Please choose one from list [ ... ].") solution: Answer in <answer>classname</answer> format split: 'test' Conversion Details Original dataset: imagenet-r-test Total samples: 30000 Number of classes: 200 Choices per question: 80 Format: Parquet (consistent with original dataset)… See the full description on the dataset page: https://huggingface.co/datasets/kaze-desu/imagenet-r-test.

sourceHugging Faceupdated 9mo agoView on Hugging Face

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Dataset Card

imagenet-r-test-vqa

This dataset has been converted to VQA format with:

—problem: Question with multiple-choice options (format: "What type of object is in the photo?\n Please choose one from list [ ... ].")
—solution: Answer in <answer>classname</answer> format
—split: 'test'

Conversion Details

—Original dataset: imagenet-r-test
—Total samples: 30000
—Number of classes: 200
—Choices per question: 80
—Format: Parquet (consistent with original dataset)

Usage

python

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("imagenet-r-test-vqa", split="test")

# Access a sample
sample = dataset[0]
print(sample['problem'])
print(sample['solution'])