annotations_creators:found language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:wino_x language:fr license:mit coreference DFP french prompts region:us
---
language:
- fr
license: 
- mit
size_categories:
- 10K<n<100K
tags:
- coreference
- DFP
- french prompts
annotations_creators:
- found
language_creators:
- found
multilinguality:
- monolingual
source_datasets:
- wino_x
---

# wino_x_fr_prompt_coreference
## Summary

**wino_x_fr_prompt_coreference** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).  
It contains **27,930** rows that can be used for a coreference task.  
The original data (without prompts) comes from the dataset [wino_x](https://huggingface.co/datasets/demelin/wino_x) by Emelin et al. where only the French part has been kept.  
A list of prompts (see below) was then applied in order to build the input and target columns and thus obtain the same format as the [xP3](https://huggingface.co/datasets/bigscience/xP3) dataset by Muennighoff et al.


## Prompts used
### List
10 prompts were created for this dataset. The logic applied consists in proposing prompts in the indicative tense, in the form of tutoiement and in the form of vouvoiement.

```
'"'+sentence+'"\nRemplacer le "_" dans la phrase ci-dessus par la bonne option :\n- "'+option1+'"\n- "'+option2+'"',  
'"'+sentence+'"\nRemplace le "_" dans la phrase ci-dessus par la bonne option :\n- "'+option1+'"\n- "'+option2+'"',  
'"'+sentence+'"\nRemplacez le "_" dans la phrase ci-dessus par la bonne option :\n- "'+option1+'"\n- "'+option2+'"',  
'"'+sentence+'" Dans la phrase précédente, "_" fait-il référence à "'+option1+'" ou "'+option2+'" ?',  
'"'+sentence+'" À quoi le "_" dans la phrase ci-dessus fait-il référence ? "'+option1+'" ou "'+option2+'" ?',  
'"'+sentence+'" Le "_" dans la phrase ci-dessous fait référence à "'+option1+'"\n- "'+option2+'" ?',  
'Remplisser le "_" de la phrase suivante : "'+sentence+ '"\nChoix :\n- "'+option1+'"\n- "'+option2+'"\nRéponse :',  
'Remplis le "_" de la phrase suivante : "'+sentence+ '"\nChoix :\n- "'+option1+'"\n- "'+option2+'"\nRéponse :',  
'Remplissez le "_" de la phrase suivante : "'+sentence+ '"\nChoix :\n- "'+option1+'"\n- "'+option2+'"\nRéponse :',  
'Dans la phrase ci-dessous, le "_" renvoie-t-il à "'+option1+'" ou "'+option2+'" ? : '+sentence,
```

### Features used in the prompts
In the prompt list above, `option1`, `option2`, `sentence` and `targets` have been constructed from:
```
wino_x = load_dataset('demelin/wino_x','lm_en_fr') 
sentence = wino_x['test'][i]['context_fr']
option1 = wino_x['test'][i]['option1_fr']
option2 = wino_x['test'][i]['option2_fr']  
targets = str(wino_x['test'][i]['answer']).replace("1",wino_x['test'][i]['option1_fr']).replace("2",wino_x['test'][i]['option2_fr'])
```


# Splits
- `train` with 27,930 samples
- no `valid` split
- no `test` split


# How to use?
```
from datasets import load_dataset
dataset = load_dataset("CATIE-AQ/wino_x_fr_prompt_coreference")
```

# Citation
## Original data
> @inproceedings{Emelin2021WinoXMW, title={Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution}, author={Denis Emelin and Rico Sennrich}, booktitle={EMNLP}, year={2021} }



## This Dataset
> @misc {centre_aquitain_des_technologies_de_l'information_et_electroniques_2023,  
	author       = { {Centre Aquitain des Technologies de l'Information et Electroniques} },  
	title        = { DFP (Revision 1d24c09) },  
	year         = 2023,  
	url          = { https://huggingface.co/datasets/CATIE-AQ/DFP },  
	doi          = { 10.57967/hf/1200 },  
	publisher    = { Hugging Face }  
}


## License
MIT