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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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+ annotations_creators:
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+ - human generated by using detail_desc and color
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+ language:
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+ - en
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+ language_creators:
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+ - other
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+ multilinguality:
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+ - monolingual
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+ pretty_name: 'H&M Clothes captions'
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+ size_categories:
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+ - n=1K
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+ source_datasets:
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+ - www.kaggle.com/competitions/h-and-m-personalized-fashion-recommendations
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+ tags: []
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+ task_categories:
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+ - text-to-image
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+ task_ids: []
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+ ---
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+
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+ # Dataset Card for H&M Clothes captions
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+
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+ _Dataset used to train/finetune [Clothes text to image model]
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+
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+ Captions are generated by using the 'detail_desc' and 'colour_group_name' or 'perceived_colour_master_name' from kaggle/competitions/h-and-m-personalized-fashion-recommendations. Original images were also obtained from the url (https://www.kaggle.com/competitions/h-and-m-personalized-fashion-recommendations/data?select=images)
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+ For each row the dataset contains `image` and `text` keys. `image` is a varying size PIL jpeg, and `text` is the accompanying text caption. Only a train split is provided.
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