
# 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
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
{"annotations_creators": ["found"], "language_creators": ["found"], "language": ["fr"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["wino_x"], "tags": ["coreference", "DFP", "french prompts"]}
TAGS
#annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-wino_x #language-French #license-mit #coreference #DFP #french prompts #region-us 


# wino_x_fr_prompt_coreference
## Summary

wino_x_fr_prompt_coreference is a subset of the Dataset of French Prompts (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 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 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.



### Features used in the prompts
In the prompt list above, 'option1', 'option2', 'sentence' and 'targets' have been constructed from:



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


# How to use?


## 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          = { URL },  
	doi          = { 10.57967/hf/1200 },  
	publisher    = { Hugging Face }  
}


## License
MIT
# wino_x_fr_prompt_coreference ## Summary

wino_x_fr_prompt_coreference is a subset of the Dataset of French Prompts (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 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 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. ### Features used in the prompts
In the prompt list above, 'option1', 'option2', 'sentence' and 'targets' have been constructed from: # Splits
- 'train' with 27,930 samples
- no 'valid' split
- no 'test' split # How to use? ## 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          = { URL },  
	doi          = { 10.57967/hf/1200 },  
	publisher    = { Hugging Face }  
} ## License
MIT
TAGS
#annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-wino_x #language-French #license-mit #coreference #DFP #french prompts #region-us 
 # wino_x_fr_prompt_coreference ## Summary

wino_x_fr_prompt_coreference is a subset of the Dataset of French Prompts (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 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 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. ### Features used in the prompts
In the prompt list above, 'option1', 'option2', 'sentence' and 'targets' have been constructed from: # Splits
- 'train' with 27,930 samples
- no 'valid' split
- no 'test' split # How to use? ## 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          = { URL },  
	doi          = { 10.57967/hf/1200 },  
	publisher    = { Hugging Face }  
} ## License
MIT