# Dataset Card for "Dataset_food_translation_fr_en"

- info: This dataset is the combination of two datasets I previously made . 
- There is : https://huggingface.co/datasets/PaulineSanchez/Trad_food which is made from the ANSES-CIQUAL 2020 Table in English in XML format, found on https://www.data.gouv.fr/fr/datasets/table-de-composition-nutritionnelle-des-aliments-ciqual/ . 
        I made some minor changes on it in order to have it meets my needs (removed/added words to have exact translations, removed repetitions etc).
- And : https://huggingface.co/datasets/PaulineSanchez/Multi_restaurants_menus_translation which is made of the translations of different menus in different restaurants. I used the menus of these different restaurants : https://salutbaramericain.com/edina/menus/ , https://menuonline.fr/legeorgev, https://www.covedina.com/menu/, https://menuonline.fr/fouquets/cartes, https://www.theavocadoshow.com/fr/food, https://papacionuparis.fr/carte/. 
        I also made some minor changes on these menus in order to have a dataset that meets my needs. I have absolutely no connection with these restaurants and their menus are certainly subject to change.
task_categories:translation size_categories:1K<n<10K language:fr language:en food restaurant menus nutrition region:us
{"language": ["fr", "en"], "size_categories": ["1K<n<10K"], "task_categories": ["translation"], "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "translation", "dtype": {"translation": {"languages": ["en", "fr"]}}}], "splits": [{"name": "train", "num_bytes": 255634.8588621444, "num_examples": 2924}, {"name": "validation", "num_bytes": 63996.14113785558, "num_examples": 732}], "download_size": 208288, "dataset_size": 319631.0}, "tags": ["food", "restaurant", "menus", "nutrition"]}
TAGS
#task_categories-translation #size_categories-1K<n<10K #language-French #language-English #food #restaurant #menus #nutrition #region-us 

# Dataset Card for "Dataset_food_translation_fr_en"

- info: This dataset is the combination of two datasets I previously made . 
- There is : URL which is made from the ANSES-CIQUAL 2020 Table in English in XML format, found on URL . 
        I made some minor changes on it in order to have it meets my needs (removed/added words to have exact translations, removed repetitions etc).
- And : URL which is made of the translations of different menus in different restaurants. I used the menus of these different restaurants : URL , URL URL URL URL URL 
        I also made some minor changes on these menus in order to have a dataset that meets my needs. I have absolutely no connection with these restaurants and their menus are certainly subject to change.
# Dataset Card for "Dataset_food_translation_fr_en"

- info: This dataset is the combination of two datasets I previously made . 
- There is : URL which is made from the ANSES-CIQUAL 2020 Table in English in XML format, found on URL . 
        I made some minor changes on it in order to have it meets my needs (removed/added words to have exact translations, removed repetitions etc).
- And : URL which is made of the translations of different menus in different restaurants. I used the menus of these different restaurants : URL , URL URL URL URL URL 
        I also made some minor changes on these menus in order to have a dataset that meets my needs. I have absolutely no connection with these restaurants and their menus are certainly subject to change.
TAGS
#task_categories-translation #size_categories-1K<n<10K #language-French #language-English #food #restaurant #menus #nutrition #region-us 
 # Dataset Card for "Dataset_food_translation_fr_en"

- info: This dataset is the combination of two datasets I previously made . 
- There is : URL which is made from the ANSES-CIQUAL 2020 Table in English in XML format, found on URL . 
        I made some minor changes on it in order to have it meets my needs (removed/added words to have exact translations, removed repetitions etc).
- And : URL which is made of the translations of different menus in different restaurants. I used the menus of these different restaurants : URL , URL URL URL URL URL 
        I also made some minor changes on these menus in order to have a dataset that meets my needs. I have absolutely no connection with these restaurants and their menus are certainly subject to change.