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--- |
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language: |
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- fr |
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license: cc-by-sa-4.0 |
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size_categories: |
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- 100K<n<1M |
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task_categories: |
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- text-generation |
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tags: |
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- DFP |
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- french prompts |
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annotations_creators: |
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- found |
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language_creators: |
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- found |
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multilinguality: |
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- monolingual |
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source_datasets: |
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- orange_sum |
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--- |
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# orange_sum_fr_prompt_text_generation_from_an_article |
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## Summary |
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**orange_sum_fr_prompt_text_generation_from_an_article** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP). |
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It contains **539,400** rows that can be used for a text generation task. |
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The original data (without prompts) comes from the dataset [orange_sum](https://huggingface.co/datasets/orange_sum) by Eddine et al. |
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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. |
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## Prompts used |
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### List |
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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. |
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``` |
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'"'+document+'"\n Continuer le texte sur 1000 caractères maximum :', |
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'"'+document+'"\n Continue le texte sur 1000 caractères maximum :', |
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'"'+document+'"\n Continuez le texte sur 1000 caractères maximum :', |
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'"'+document+'"\n Poursuivre le texte sur 1000 caractères maximum :', |
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'"'+document+'"\n Poursuis le texte sur 1000 caractères maximum :', |
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'"'+document+'"\n Poursuivez le texte sur 1000 caractères maximum :', |
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'"'+document+'"\n Prolonger le texte sur 1000 caractères maximum :', |
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'"'+document+'"\n Prolonge le texte sur 1000 caractères maximum :', |
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'"'+document+'"\n Prolongez le texte sur 1000 caractères maximum :', |
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'"'+document+'"\n Rédiger la suite du texte : ', |
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'"'+document+'"\n Rédige la suite du texte : ', |
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'"'+document+'"\n Rédigez la suite du texte : ', |
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'"'+document+'"\n Imaginer la suite du texte : ', |
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'"'+document+'"\n Imagine la suite du texte : ', |
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'"'+document+'"\n Imaginez la suite du texte : ', |
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'"'+document+'"\n Ecrire la suite du texte : ', |
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'"'+document+'"\n Ecris la suite du texte : ', |
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'"'+document+'"\n Ecriver la suite du texte : ', |
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'"'+document+'"\n Développer la suite du texte : ', |
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'"'+document+'"\n Développe la suite du texte : ', |
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'"'+document+'"\n Développez la suite du texte : ', |
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'"'+document+'"\nGénérer la suite du texte : ', |
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'"'+document+'"\nGénère la suite du texte : ', |
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'"'+document+'"\n Générez la suite du texte : ', |
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``` |
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### Features used in the prompts |
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In the prompt list above, `text` and `targets` have been constructed from: |
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``` |
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orange_sum = load_dataset('orange_sum','abstract') |
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if len(orange_sum['train'][i]['text']) > 1000: |
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document = orange_sum['train'][i]['text'][:1000] |
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targets = orange_sum['train'][i]['summary'][1000:] |
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``` |
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# Splits |
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- `train` with 472,944 samples |
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- `valid` with 33,096 samples |
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- `test` with 33,360 samples |
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# How to use? |
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``` |
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from datasets import load_dataset |
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dataset = load_dataset("CATIE-AQ/orange_sum_fr_prompt_text_generation_from_an_article") |
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``` |
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# Citation |
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## Original data |
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> @article{eddine2020barthez, |
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title={BARThez: a Skilled Pretrained French Sequence-to-Sequence Model}, |
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author={Eddine, Moussa Kamal and Tixier, Antoine J-P and Vazirgiannis, Michalis}, |
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journal={arXiv preprint arXiv:2010.12321}, |
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year={2020} |
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} |
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## This Dataset |
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> @misc {centre_aquitain_des_technologies_de_l'information_et_electroniques_2023, |
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author = { {Centre Aquitain des Technologies de l'Information et Electroniques} }, |
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title = { DFP (Revision 1d24c09) }, |
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year = 2023, |
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url = { https://huggingface.co/datasets/CATIE-AQ/DFP }, |
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doi = { 10.57967/hf/1200 }, |
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publisher = { Hugging Face } |
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} |
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## License |
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CC-BY-SA-4.0 |
