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@@ -109,28 +109,29 @@ English.
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  ### Data Fields
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  ★ - refers to idiom-only fields
 
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  Multimodal Figurative Language Detection task
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  - query (★): the idiom definition the answer image originated from.
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  - distractors: the distractor images
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  - answer: the correct image
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  - figurative_type: idiom | metaphor | simile
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- - images_metadata: the metadata of the distractors and answer images.
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- - type: the correct image type (Figurative or Figurative Literal).
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  - definition (★): list of all the definitions of the idiom
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  - phrase: the figurative phrase.
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  Multimodal Figurative Language Retrieval task
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- - type: the rival categories FvsPL (Figurative images vs. Partial Literal) or FLvsPL (Figurative Literal images vs. Partial Literal)
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  - figurative_type: idiom | metaphor | simile
 
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  - first_category: the first category images (Figurative images if FvsPL, Figurative Literal images if FLvsPL)
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  - second_category: the second category images (Partial Literal)
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  - definition (★): list of all the definitions of the idiom
 
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  - phrase: the figurative phrase.
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  The idioms, metaphor, and similes datasets contain all the figurative phrases, annotated images, and corresponding metadata. <br/>
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-
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  ## Dataset Collection
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  Using an automatic pipeline we created, we collected figurative and literal images for textual idioms, metaphors, and similes. We annotated the relations between these images and the figurative phrase they originated from.
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  ### Data Fields
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  ★ - refers to idiom-only fields
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+ ⁺₊ - refers to metaphor-only fields
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  Multimodal Figurative Language Detection task
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  - query (★): the idiom definition the answer image originated from.
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  - distractors: the distractor images
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  - answer: the correct image
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  - figurative_type: idiom | metaphor | simile
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+ - type: the correct image type (Figurative or Figurative+Literal).
 
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  - definition (★): list of all the definitions of the idiom
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  - phrase: the figurative phrase.
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  Multimodal Figurative Language Retrieval task
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+ - type: the rival categories FvsPL (Figurative images vs. Partial Literal) or FLvsPL (Figurative+Literal images vs. Partial Literal)
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  - figurative_type: idiom | metaphor | simile
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+ - images_metadata: the metadata of the distractors and answer images.
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  - first_category: the first category images (Figurative images if FvsPL, Figurative Literal images if FLvsPL)
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  - second_category: the second category images (Partial Literal)
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  - definition (★): list of all the definitions of the idiom
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+ - theme (⁺₊): the theme of the partial literal distractor, for example, for the metaphor heart of gold, an image of a "gold bar" and an image of a "human heart" will have different theme value
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  - phrase: the figurative phrase.
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  The idioms, metaphor, and similes datasets contain all the figurative phrases, annotated images, and corresponding metadata. <br/>
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  ## Dataset Collection
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  Using an automatic pipeline we created, we collected figurative and literal images for textual idioms, metaphors, and similes. We annotated the relations between these images and the figurative phrase they originated from.
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