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metadata
language: ar
datasets: flickr8k

Flickr8k Image Features

Flickr8k image features are extracted using the ResNeXt-152 C4 architecture (found here) and can be used as input for the OSCAR learning method. Arabic captions and splits are provided by ElJundi et al.

Dev-split

  • dev-arabic.yaml Yaml configure file with Arabic object tags
  • dev.feature.tsv Extracted image features
  • dev.label.arabic.tsv Arabic labels
  • dev.label.tsv English labels
  • dev.yaml Yaml configure file with English object tags
  • dev_caption.json Arabic captions for training
  • dev_caption_coco_format.json Arabic captions for validation

Test-split

  • test-arabic.yaml Yaml configure file with Arabic object tags
  • test.feature.tsv Extracted image features
  • test.label.arabic.tsv Arabic labels
  • test.label.tsv English labels
  • test.yaml Yaml configure file with English object tags
  • test_caption.json Arabic captions for training
  • test_caption_coco_format.json Arabic captions for validation

Train-split

  • train-arabic.yaml Yaml configure file with Arabic object tags
  • train.feature.tsv Extracted image features
  • train.label.arabic.tsv Arabic labels
  • train.label.tsv English labels
  • train.yaml Yaml configure file with English object tags
  • train_caption.json Arabic captions for training
  • train_caption_coco_format.json Arabic captions for validation