README.md

---
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- config_name: deu_Latn
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- config_name: zho_Hans
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language:
- en
- fr
- de
- es
- it
- pt
- ja
- ko
- zh
- ar
- el
- fa
- pl
- id
- cs
- he
- hi
- nl
- ro
- ru
- tr
- uk
- vi
license: apache-2.0
---


## Dataset Card for m-WildVision

<img src="mwildvision2.png" width="650" style="margin-left:'auto' margin-right:'auto' display:'block'"/>

### Dataset Details

The m-WildVision dataset is a multilingual multimodal LLM evaluation set. This dataset was created by translating the prompts from the originally English-only [WildVision (vision_bench_0617)](https://arxiv.org/abs/2406.11069) test dataset using Google Translate API v3 to 22 languages. 
The original English-only prompts were created by Lu et al. (2024) and consist of 500 challenging user queries sourced from their WildVision-Arena platform. 
The authors show that these can be used to perform automatic LLM judge evaluations, which exhibit a high correlation with WildVision-Arena rankings. 

### Languages:

This dataset covers 23 languages: Arabic (arb_Arab), Chinese (zho_Hans), Czech (ces_Latn), Dutch (nld_Latn), English (eng_Latn), French (fra_Latn), German (deu_Latn), Greek (ell_Grek), Hebrew (heb_Hebr), Hindi (hin_Deva), Indonesian (ind_Latn), Italian (ita_Latn), Japanese (jpn_Jpan), Korean (kor_Hang), Persian (fas_Arab), Polish (pol_Latn), Portuguese (por_Latn), Romanian (ron_Latn), Russian (rus_Cyrl), Spanish (spa_Latn), Turkish (tur_Latn), Ukrainian (ukr_Cyrl), and Vietnamese (vie_Latn).


### Load with Datasets

To load this dataset with Datasets, you'll need to install Datasets as `pip install datasets --upgrade` and then use the following code:

```python
from datasets import load_dataset

dataset = load_dataset("CohereForAI/m-WildVision", "eng_Latn")
```

The above code block will load only the English subset of the entire dataset. You can load other subsets by specifying other supported languages of interest or the entire dataset by leaving that argument as blank.


### Dataset Structure

An instance of the data from the English subset looks as follows:

```python
{'question_id': a711a80b19c040c2a98364b5e181b020,
 'language': 'eng_Latn',
 'question': 'How many workers are working in the construction site? Are all of them wearing the safety equipments? If no, who are not wearing them?'
'image': [PIL.Image],
}
```

### Dataset Fields

The following are the fields in the dataset:

- question_id: a unique ID for the example
- language: The language of the sample, indicating the subset to which it belongs.
- instruction: text of the prompt (question or instruction)
- image: The raw image data in .jpg format.

  
All language subsets of the dataset share the same fields as above.

### Authorship

- Publishing Organization: [Cohere For AI](https://cohere.com/research)
- Industry Type: Not-for-profit - Tech
- Contact Details: https://cohere.com/research/aya

### Licensing Information

This dataset can be used for any purpose, whether academic or commercial, under the terms of the Apache 2.0 License.