Update README.md

README.md

@@ -26,7 +26,7 @@ multilinguality:
 
 # Dataset Card for Dataset of French Prompts (DFP)
 
-This dataset of prompts contains **112,194,043 rows [A ACTUALISER]** but for licensing reasons we can only share 106,931,863 rows [A ACTUALISER]. It presents data for **30 different NLP tasks**.    
+This dataset of prompts in French contains **112,194,043 rows [A ACTUALISER]** but for licensing reasons we can only share 106,931,863 rows [A ACTUALISER]. It presents data for **30 different NLP tasks**.    
 **724 prompts** were written, including requests in imperative, tutoiement and vouvoiement form in an attempt to have as much coverage as possible of the pre-training data used by the model that will use these data and which are unknown to us.  
 
 This dataset contains four columns:
@@ -34,14 +34,14 @@ This dataset contains four columns:
 - targets (string)
 - dataset (string)
 - task (string)
-- 
+  
 The `inputs` and `targets` columns follow the same format as the [xP3](https://huggingface.co/datasets/bigscience/xP3) dataset by Muennighoff et al.  
 The `dataset` column allows the user to filter the datasets he wants to keep for his work.  
 The `task` column allows the user to filter the tasks he wants to keep for his work.  
 
 The dataset was created from 34 other datasets each with its own license. We invite you to consult them.  
 The 724 prompts are licensed under the `cc-by-4.0` license, so you're free to apply them to your own datasets.
-The dataset is the concatenation of 74 prompts datasets that you can find [here](https://huggingface.co/CATIE-AQ). 
+The dataset is the concatenation of 74 prompts datasets that you can find [here](https://huggingface.co/collections/CATIE-AQ/french-prompts-datasets-6508208ad55dd4e15cd67f8b). 
 The nomenclature adopted for these datasets is `original dataset name` + `_fr_prompt_` + `task name`.
 
 Below, you'll find for each of the 30 tasks, the list of prompts used for each, an example of a line, the list of original datasets to which the prompts were applied and the list of datasets with prompts then created, and for each their license.
@@ -360,7 +360,7 @@ The `anli_fr_prompt_textual_entailment`, `fever_fr_prompt_textual_entailment`, `
 </details>
 
 <details>
-<summary><h1>Sentence simplification</h1></summary>
+<summary><h1>Textual simplification</h1></summary>
 This task involves cutting a very long sentence into two smaller ones to simplify reading.
 
 ## 20 prompts
@@ -427,7 +427,7 @@ The `bisect_fr_prompt_textual_simplification` dataset has the same license as th
 
   
 <details>
-<summary><h1>Sentence merging</h1></summary>
+<summary><h1>Textual merging</h1></summary>
 
 This task involves merging two short sentences into a single longer one.
 
@@ -477,7 +477,7 @@ Identical to the first citation of this dataset earlier in the card.
 Identical to the first citation of this dataset earlier in the card.
 </details>
 
-**With prompts**: https://huggingface.co/datasets/CATIE-AQ/bisect_fr_prompt_textual_fusion
+**With prompts**: https://huggingface.co/datasets/CATIE-AQ/bisect_fr_prompt_textual_merging
 
 <details>
 <summary>Citation and License</summary>
@@ -485,7 +485,7 @@ Identical to the first citation of this dataset earlier in the card.
 #### Citation
 See the DOI at the end of this dataset card.
 #### License
-The `bisect_fr_prompt_textual_fusion` dataset has the same license as the original dataset from which it is derived.
+The `bisect_fr_prompt_textual_merging` dataset has the same license as the original dataset from which it is derived.
 </details>
 </details>
 
@@ -1792,7 +1792,7 @@ The `orange_sum_fr_prompt_summary` dataset has the same license as the original
 </details>
 
 <details>
-<summary><h1>Text generation from a text</h1></summary> 
+<summary><h1>Text generation from an article</h1></summary> 
 
 The task consists in using a text base to generate a suite to this text.
 ## 24 prompts
@@ -1844,7 +1844,7 @@ Identical to the first citation of this dataset earlier in the card.
 Identical to the first citation of this dataset earlier in the card.
 </details>
 
-**With prompts**: https://huggingface.co/datasets/CATIE-AQ/orange_sum_fr_prompt_text_generation
+**With prompts**: https://huggingface.co/datasets/CATIE-AQ/orange_sum_fr_prompt_text_generation_from_an_article
 
 <details>
 <summary>Citation and License</summary>
@@ -1852,14 +1852,14 @@ Identical to the first citation of this dataset earlier in the card.
   #### Citation
 See the DOI at the end of this dataset card.
 #### License
-The `orange_sum_fr_prompt_text_generation` dataset has the same license as the original dataset from which it is derived.
+The `orange_sum_fr_prompt_text_generation_from_an_article` dataset has the same license as the original dataset from which it is derived.
 </details>
 </details>
 
 
 
 <details>
-<summary><h1>Title generation (from an article)</h1></summary>
+<summary><h1>Title generation from an article</h1></summary>
 
 The aim is to generate a title for a given text.
 ## 19 prompts
@@ -1906,7 +1906,7 @@ Identical to the first citation of this dataset earlier in the card.
 Identical to the first citation of this dataset earlier in the card.
 </details>
 
-**With prompts**: https://huggingface.co/datasets/CATIE-AQ/orange_sum_fr_prompt_title_generation
+**With prompts**: https://huggingface.co/datasets/CATIE-AQ/orange_sum_fr_prompt_title_generation_from_an_article
 
 <details>
 <summary>Citation and License</summary>
@@ -1914,7 +1914,7 @@ Identical to the first citation of this dataset earlier in the card.
 #### Citation
 See the DOI at the end of this dataset card.
 #### License
-The `orange_sum_fr_prompt_title_generation` dataset has the same license as the original dataset from which it is derived.
+The `orange_sum_fr_prompt_title_generation_from_an_article` dataset has the same license as the original dataset from which it is derived.
 </details>
 </details>
 
@@ -1989,7 +1989,7 @@ The `orange_sum_fr_prompt_fill_mask` dataset has the same license as the origina
 
 
 <details>
-<summary><h1>Binary text generation from a title</h1></summary>
+<summary><h1>Binary text generation from a title of a review</h1></summary>
 
 The aim is to generate a text positive ou negative depending on the prompt selected by the user.
 
@@ -2091,7 +2091,7 @@ Identical to the first citation of this dataset earlier in the card.
 Identical to the first citation of this dataset earlier in the card.
 </details>
 
-**With prompts**: https://huggingface.co/datasets/CATIE-AQ/french_book_reviews_fr_prompt_text_generation_from_title_base_sentiment_analysis
+**With prompts**: https://huggingface.co/datasets/CATIE-AQ/french_book_reviews_fr_prompt_binary_text_generation_from_title_of_a_review
 
 <details>
 <summary>Citation and License</summary>
@@ -2099,7 +2099,7 @@ Identical to the first citation of this dataset earlier in the card.
 #### Citation
 See the DOI at the end of this dataset card.
 #### License
-The `https://huggingface.co/datasets/CATIE-AQ/french_book_reviews_fr_prompt_text_generation_from_title_base_sentiment_analysis` dataset has the same license as the original dataset from which it is derived.
+The `https://huggingface.co/datasets/CATIE-AQ/french_book_reviews_fr_prompt_binary_text_generation_from_title_of_a_review` dataset has the same license as the original dataset from which it is derived.
 </details>
 
 ### amazon_reviews_multi
@@ -2116,7 +2116,7 @@ Identical to the first citation of this dataset earlier in the card.
 Identical to the first citation of this dataset earlier in the card.
 </details>
 
-**With prompts**: https://huggingface.co/datasets/CATIE-AQ/amazon_reviews_multi_fr_prompt_text_generation_from_title_base_sentiment_analysis
+**With prompts**: https://huggingface.co/datasets/CATIE-AQ/amazon_reviews_multi_fr_prompt_binary_text_generation_from_title_of_a_review
 
 <details>
 <summary>Citation and License</summary>
@@ -2124,14 +2124,14 @@ Identical to the first citation of this dataset earlier in the card.
 #### Citation
 See the DOI at the end of this dataset card.
 #### License
-The `https://huggingface.co/datasets/CATIE-AQ/amazon_reviews_multi_fr_prompt_text_generation_from_title_base_sentiment_analysis` dataset has the same license as the original dataset from which it is derived.
+The `https://huggingface.co/datasets/CATIE-AQ/amazon_reviews_multi_fr_prompt_binary_text_generation_from_title_of_a_review` dataset has the same license as the original dataset from which it is derived.
 </details>
 </details>
 
 
 
 <details>
-<summary><h1>Text generation from a title (review type)</h1></summary>
+<summary><h1>Text generation from a title of a review type</h1></summary>
  
 Review generation from a title.
 
@@ -2195,7 +2195,7 @@ Identical to the first citation of this dataset earlier in the card.
 Identical to the first citation of this dataset earlier in the card.
 </details>
 
-**With prompts**: https://huggingface.co/datasets/CATIE-AQ/amazon_reviews_multi_fr_prompt_text_generation_from_title_base_topic_classification
+**With prompts**: https://huggingface.co/datasets/CATIE-AQ/amazon_reviews_multi_fr_prompt_text_generation_from_title_of_a_review
 
 <details>
 <summary>Citation and License</summary>
@@ -2203,7 +2203,7 @@ Identical to the first citation of this dataset earlier in the card.
 #### Citation
 See the DOI at the end of this dataset card.
 #### License
-The `https://huggingface.co/datasets/CATIE-AQ/amazon_reviews_multi_fr_prompt_text_generation_from_title_base_topic_classification` dataset has the same license as the original dataset from which it is derived.
+The `https://huggingface.co/datasets/CATIE-AQ/amazon_reviews_multi_fr_prompt_text_generation_from_title_of_a_review` dataset has the same license as the original dataset from which it is derived.
 </details>
 </details>
 
@@ -2211,7 +2211,7 @@ The `https://huggingface.co/datasets/CATIE-AQ/amazon_reviews_multi_fr_prompt_tex
 
 
 <details>
-<summary><h1>Text generation from a title (article type)</h1></summary>
+<summary><h1>Text generation from a title of an article</h1></summary>
   
 Article generation from a title.
 ## 27 prompts
@@ -2275,14 +2275,14 @@ Identical to the first citation of this dataset earlier in the card.
 #### Citation
 See the DOI at the end of this dataset card.
 #### License
-The `orange_sum_fr_prompt_text_generation_from_title` dataset has the same license as the original dataset from which it is derived.
+The `orange_sum_fr_prompt_text_generation_from_title_of_an_article` dataset has the same license as the original dataset from which it is derived.
 </details>
 </details>
 
 
 
 <details>
-<summary><h1>Title generation (from reviews)</h1></summary>
+<summary><h1>Title generation froam a review</h1></summary>
 
 The aim is to generate a title for a given text which is a review.
 
@@ -2329,7 +2329,7 @@ Identical to the first citation of this dataset earlier in the card.
 Identical to the first citation of this dataset earlier in the card.
 </details>
 
-**With prompts**: https://huggingface.co/datasets/CATIE-AQ/amazon_reviews_multi_fr_prompt_title_generation
+**With prompts**: https://huggingface.co/datasets/CATIE-AQ/amazon_reviews_multi_fr_prompt_title_generation_from_a_review
 
 <details>
 <summary>Citation and License</summary>
@@ -2337,7 +2337,7 @@ Identical to the first citation of this dataset earlier in the card.
   #### Citation
 See the DOI at the end of this dataset card.
 #### License
-The `https://huggingface.co/datasets/CATIE-AQ/amazon_reviews_multi_fr_prompt_title_generation` dataset has the same license as the original dataset from which it is derived.
+The `https://huggingface.co/datasets/CATIE-AQ/amazon_reviews_multi_fr_prompt_title_generation_from_a_review` dataset has the same license as the original dataset from which it is derived.
 </details>
 </details>
 
@@ -3043,7 +3043,7 @@ The `wikinews-fr-100_fr_prompt_data_to_text` dataset has the same license as the
 An example:
 | inputs    | targets |
 | -------- | ------- |
-| "Extraire les mots clés importants du texte suivant : Contrôle magnétique de la mouillabilité Un film de caoutchouc comportant des grains ferromagnétiques durs (avec un axe d'aimantation privilégié) est préparé avec des régions en ruban, alternées en aimantation. Si un tel film, fixé sur un support solide, est soumis à un champ magnétique tangentiel H, il doit déformer la surface libre en crêtes et vallées, et devenir de ce fait plus mouillable."   | "Mouillabilité, Caoutchouc, Ferromagnétique, Aimantation".  |
+| Extraire les mots clés importants du texte suivant : Contrôle magnétique de la mouillabilité Un film de caoutchouc comportant des grains ferromagnétiques durs (avec un axe d'aimantation privilégié) est préparé avec des régions en ruban, alternées en aimantation. Si un tel film, fixé sur un support solide, est soumis à un champ magnétique tangentiel H, il doit déformer la surface libre en crêtes et vallées, et devenir de ce fait plus mouillable.   | Mouillabilité, Caoutchouc, Ferromagnétique, Aimantation.  |
 
 
 ## Datasets