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---
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: image_id
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 700662
num_examples: 9974
- name: test
num_bytes: 174412
num_examples: 2494
download_size: 299109
dataset_size: 875074
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
license: mit
language:
- en
tags:
- VQA
pretty_name: 'VQA '
size_categories:
- 100K<n<1M
---
The dataset is available at: https://www.mpi-inf.mpg.de/departments/computer-vision-and-machine-learning/research/vision-and-language/visual-turing-challenge/
```
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6290ec00a29097b211b94f0f/dDin_syScEqBKTOqg4svg.png)
@INPROCEEDINGS{malinowski2014nips,
author = {Malinowski, Mateusz and Fritz, Mario},
title = {A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input},
booktitle = {Advances in Neural Information Processing Systems 27},
editor = {Z. Ghahramani and M. Welling and C. Cortes and N.D. Lawrence and K.Q. Weinberger},
pages = {1682--1690},
year = {2014},
publisher = {Curran Associates, Inc.},
url = {http://papers.nips.cc/paper/5411-a-multi-world-approach-to-question-answering-about-real-world-scenes-based-on-uncertain-input.pdf}
}
``` |