---
language:
- en
config_names:
- query
- corpus
- qrels
tags:
- information-retrieval
- multimodal-retrieval
dataset_info:
- config_name: qrels
  features:
  - name: query-id
    dtype: string
  - name: Q0
    dtype: string
  - name: corpus-id
    dtype: string
  - name: score
    dtype: int8
  splits:
  - name: test
    num_examples: 37604
- config_name: corpus
  features:
  - name: id
    dtype: string
  - name: modality
    dtype: string
  - name: text
    dtype: string
  - name: image
    dtype: image
  splits:
  - name: corpus
    num_examples: 114516
- config_name: query
  features:
  - name: id
    dtype: string
  - name: modality
    dtype: string
  - name: text
    dtype: string
  - name: image
    dtype: image
  splits:
  - name: test
    num_examples: 5046
configs:
- config_name: qrels
  data_files:
  - split: test
    path: qrels.parquet
- config_name: corpus
  data_files:
  - split: corpus
    path: corpus.parquet
- config_name: query
  data_files:
  - split: test
    path: query.parquet
license: cc-by-4.0
---


## OK-VQA Image-Text to Text Retreival


```
@inproceedings{marino2019ok,
  title={Ok-vqa: A visual question answering benchmark requiring external knowledge},
  author={Marino, Kenneth and Rastegari, Mohammad and Farhadi, Ali and Mottaghi, Roozbeh},
  booktitle={Proceedings of the IEEE/cvf conference on computer vision and pattern recognition},
  pages={3195--3204},
  year={2019}
}
```