
# xwinograd_fr_prompt_coreference
## Summary

**xwinograd_fr_prompt_coreference** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).  
It contains **830** rows that can be used for a coreference task.  
The original data (without prompts) comes from the dataset [xwinograd](https://huggingface.co/datasets/Muennighoff/xwinograd) by Muennighoff 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:
```
xwinograd = load_dataset('Muennighoff/xwinograd','fr')
sentence = xwinograd['test'][i]['sentence']
option1 = xwinograd['test'][i]['option1']
option2 = xwinograd['test'][i]['option2']
targets = str(xwinograd['test'][i]['answer']).replace("1",xwinograd['test'][i]['option1']).replace("2",xwinograd['test'][i]['option2'])
```


# Splits
- `train` with 830 samples
- no `valid` split
- no `test` split


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

# Citation
## Original data
> @misc{muennighoff2022crosslingual,
      title={Crosslingual Generalization through Multitask Finetuning}, 
      author={Niklas Muennighoff and Thomas Wang and Lintang Sutawika and Adam Roberts and Stella Biderman and Teven Le Scao and M Saiful Bari and Sheng Shen and Zheng-Xin Yong and Hailey Schoelkopf and Xiangru Tang and Dragomir Radev and Alham Fikri Aji and Khalid Almubarak and Samuel Albanie and Zaid Alyafeai and Albert Webson and Edward Raff and Colin Raffel},
      year={2022},
      eprint={2211.01786},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
> @misc{tikhonov2021heads,
    title={It's All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning},
    author={Alexey Tikhonov and Max Ryabinin},
    year={2021},
    eprint={2106.12066},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}



## 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
 [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/deed.en)
annotations_creators:found language_creators:found multilinguality:monolingual size_categories:n<1K source_datasets:xwinograd language:fr license:cc-by-4.0 coreference DFP french prompts arxiv:2211.01786 arxiv:2106.12066 region:us
{"annotations_creators": ["found"], "language_creators": ["found"], "language": ["fr"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["xwinograd"], "tags": ["coreference", "DFP", "french prompts"]}
TAGS
#annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-xwinograd #language-French #license-cc-by-4.0 #coreference #DFP #french prompts #arxiv-2211.01786 #arxiv-2106.12066 #region-us 


# xwinograd_fr_prompt_coreference
## Summary

xwinograd_fr_prompt_coreference is a subset of the Dataset of French Prompts (DFP).  
It contains 830 rows that can be used for a coreference task.  
The original data (without prompts) comes from the dataset xwinograd by Muennighoff 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 830 samples
- no 'valid' split
- no 'test' split


# How to use?


## Original data
> @misc{muennighoff2022crosslingual,
      title={Crosslingual Generalization through Multitask Finetuning}, 
      author={Niklas Muennighoff and Thomas Wang and Lintang Sutawika and Adam Roberts and Stella Biderman and Teven Le Scao and M Saiful Bari and Sheng Shen and Zheng-Xin Yong and Hailey Schoelkopf and Xiangru Tang and Dragomir Radev and Alham Fikri Aji and Khalid Almubarak and Samuel Albanie and Zaid Alyafeai and Albert Webson and Edward Raff and Colin Raffel},
      year={2022},
      eprint={2211.01786},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
> @misc{tikhonov2021heads,
    title={It's All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning},
    author={Alexey Tikhonov and Max Ryabinin},
    year={2021},
    eprint={2106.12066},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}



## 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
 cc-by-4.0
# xwinograd_fr_prompt_coreference ## Summary

xwinograd_fr_prompt_coreference is a subset of the Dataset of French Prompts (DFP).  
It contains 830 rows that can be used for a coreference task.  
The original data (without prompts) comes from the dataset xwinograd by Muennighoff 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 830 samples
- no 'valid' split
- no 'test' split # How to use? ## Original data
> @misc{muennighoff2022crosslingual,
      title={Crosslingual Generalization through Multitask Finetuning}, 
      author={Niklas Muennighoff and Thomas Wang and Lintang Sutawika and Adam Roberts and Stella Biderman and Teven Le Scao and M Saiful Bari and Sheng Shen and Zheng-Xin Yong and Hailey Schoelkopf and Xiangru Tang and Dragomir Radev and Alham Fikri Aji and Khalid Almubarak and Samuel Albanie and Zaid Alyafeai and Albert Webson and Edward Raff and Colin Raffel},
      year={2022},
      eprint={2211.01786},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
> @misc{tikhonov2021heads,
    title={It's All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning},
    author={Alexey Tikhonov and Max Ryabinin},
    year={2021},
    eprint={2106.12066},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
} ## 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
 cc-by-4.0
TAGS
#annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-xwinograd #language-French #license-cc-by-4.0 #coreference #DFP #french prompts #arxiv-2211.01786 #arxiv-2106.12066 #region-us 
 # xwinograd_fr_prompt_coreference ## Summary

xwinograd_fr_prompt_coreference is a subset of the Dataset of French Prompts (DFP).  
It contains 830 rows that can be used for a coreference task.  
The original data (without prompts) comes from the dataset xwinograd by Muennighoff 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 830 samples
- no 'valid' split
- no 'test' split # How to use? ## Original data
> @misc{muennighoff2022crosslingual,
      title={Crosslingual Generalization through Multitask Finetuning}, 
      author={Niklas Muennighoff and Thomas Wang and Lintang Sutawika and Adam Roberts and Stella Biderman and Teven Le Scao and M Saiful Bari and Sheng Shen and Zheng-Xin Yong and Hailey Schoelkopf and Xiangru Tang and Dragomir Radev and Alham Fikri Aji and Khalid Almubarak and Samuel Albanie and Zaid Alyafeai and Albert Webson and Edward Raff and Colin Raffel},
      year={2022},
      eprint={2211.01786},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
> @misc{tikhonov2021heads,
    title={It's All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning},
    author={Alexey Tikhonov and Max Ryabinin},
    year={2021},
    eprint={2106.12066},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
} ## 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
 cc-by-4.0
passage: TAGS
#annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-n<1K #source_datasets-xwinograd #language-French #license-cc-by-4.0 #coreference #DFP #french prompts #arxiv-2211.01786 #arxiv-2106.12066 #region-us 
# xwinograd_fr_prompt_coreference## Summary

xwinograd_fr_prompt_coreference is a subset of the Dataset of French Prompts (DFP).  
It contains 830 rows that can be used for a coreference task.  
The original data (without prompts) comes from the dataset xwinograd by Muennighoff 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 830 samples
- no 'valid' split
- no 'test' split# How to use?