Culturally-diverse Multilingual Visual Question Answering benchmark with questions from 30 countries in 31 languages including Marathi. Images and questions are annotated by native speakers familiar with local culture
from datasets import load_dataset
ds = load_dataset('cvqa/cvqa')
print(f'Samples: {len(ds["test"])}')
for ex in list(ds['test'])[:3]:
print(f"Q: {ex['question'][:60]}")
print(f"A: {ex['answer'][:60]}\n")| Field | Type | Description |
|---|---|---|
| image | image | Image for visual question answering |
| question | string | Question about the image in Marathi |
| answer | string | Answer to the question |