| | --- |
| | language: |
| | - fra |
| | license: mit |
| | size_categories: |
| | - 100K<n<1M |
| | task_categories: |
| | - text-generation |
| | tags: |
| | - DFP |
| | - french prompts |
| | annotations_creators: |
| | - found |
| | language_creators: |
| | - found |
| | multilinguality: |
| | - monolingual |
| | source_datasets: |
| | - etalab-ia/piaf |
| | --- |
| | |
| | # piaf_fr_prompt_context_generation_with_question |
| | ## Summary |
| |
|
| | **piaf_fr_prompt_context_generation_with_question** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP). |
| | It contains **442,752** rows that can be used for a context-generation (with answer and question) task. |
| | The original data (without prompts) comes from the dataset [PIAF](https://huggingface.co/datasets/etalab-ia/piaf) and was augmented by questions in SQUAD 2.0 format in the [FrenchQA]( https://huggingface.co/datasets/CATIE-AQ/frenchQA) dataset. |
| | 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 |
| | 24 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. |
| |
|
| | ``` |
| | 'Étant donné la question "'+question+'", écrire un texte explicatif.\nTexte : ', |
| | 'Étant donné la question "'+question+'", écris un texte explicatif.\nTexte : ', |
| | 'Étant donné la question "'+question+'", écrivez un texte explicatif.\nTexte : ', |
| | 'Étant donné la question "'+question+'", rédiger un texte explicatif.\nTexte : ', |
| | 'Étant donné la question "'+question+'", rédige un texte explicatif.\nTexte : ', |
| | 'Étant donné la question "'+question+'", rédigez un texte explicatif.\nTexte : ', |
| | 'Étant donné la question "'+question+'", générer un texte explicatif.\nTexte : ', |
| | 'Étant donné la question "'+question+'", génère un texte explicatif.\nTexte : ', |
| | 'Étant donné la question "'+question+'", générez un texte explicatif.\nTexte : ', |
| | 'Étant donné la question "'+question+'", créer un texte explicatif.\nTexte : ', |
| | 'Étant donné la question "'+question+'", crée un texte explicatif.\nTexte : ', |
| | 'Étant donné la question "'+question+'", créez un texte explicatif.\nTexte : ', |
| | 'Ecrire un texte comme contexte à la question "'+question+'" \nTexte : ', |
| | 'Ecris un texte comme contexte à la question "'+question+'" \nTexte : ', |
| | 'Ecrivez un texte comme contexte à la question "'+question+'" \nTexte : ', |
| | 'Rédiger un texte comme contexte à la question "'+question+'" \nTexte : ', |
| | 'Rédige un texte comme contexte à la question "'+question+'" \nTexte : ', |
| | 'Rédigez un texte comme contexte à la question "'+question+'" \nTexte : ', |
| | 'Générer un texte comme contexte à la question "'+question+'" \nTexte : ', |
| | 'Génère un texte comme contexte à la question "'+question+'" \nTexte : ', |
| | 'Générez un texte comme contexte à la question "'+question+'" \nTexte : ', |
| | 'Créer un texte comme contexte à la question "'+question+'" \nTexte : ', |
| | 'Crée un texte comme contexte à la question "'+question+'" \nTexte : ', |
| | 'Créez un texte comme contexte à la question "'+question+'" \nTexte : ' |
| | ``` |
| |
|
| | # Splits |
| | - `train` with 442,752 samples |
| | - no `valid` split |
| | - no `test` split |
| |
|
| | # How to use? |
| | ``` |
| | from datasets import load_dataset |
| | dataset = load_dataset("CATIE-AQ/piaf_fr_prompt_context_generation_with_question") |
| | ``` |
| |
|
| |
|
| | # Citation |
| | ## Original data |
| | ``` |
| | @InProceedings{keraron-EtAl:2020:LREC, |
| | author = {Keraron, Rachel and Lancrenon, Guillaume and Bras, Mathilde and Allary, Frédéric and Moyse, Gilles and Scialom, Thomas and Soriano-Morales, Edmundo-Pavel and Staiano, Jacopo}, |
| | title = {Project PIAF: Building a Native French Question-Answering Dataset}, |
| | booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference}, |
| | month = {May}, |
| | year = {2020}, |
| | address = {Marseille, France}, |
| | publisher = {European Language Resources Association}, |
| | pages = {5483--5492}, |
| | url = {https://www.aclweb.org/anthology/2020.lrec-1.673} |
| | } |
| | ``` |
| |
|
| | ## This Dataset |
| | ``` |
| | @misc {centre_aquitain_des_technologies_de_l'information_et_electroniques_2023, |
| | author = { {BOURDOIS, Loïck} }, |
| | organization = { {Centre Aquitain des Technologies de l'Information et Electroniques} }, |
| | title = { Dataset of French Prompts (DFP) (Revision 1d24c09) }, |
| | year = 2023, |
| | url = { https://huggingface.co/datasets/CATIE-AQ/DFP }, |
| | doi = { 10.57967/hf/1200 }, |
| | publisher = { Hugging Face } } |
| | ``` |
| |
|
| |
|
| |
|
| | ## License |
| | MIT |
