---
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/6TRvuCI3AYnhphzXiCPE4.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}
}
```