Update README.md

README.md

@@ -78,16 +78,16 @@ Detection task
 - distractors: the distractor images
 - answer: the correct image 
 - figurative_type: idiom | metaphor | simile
-- images_metadata: the metadata of the distractors and asnwer images. 
+- images_metadata: the metadata of the distractors and answer images. 
 - type: the correct image type (Figurative or Figurative Literal).
 - definition (★): list of all the definitions of the idiom
 - phrase: the figurative phrase.
 
 Retrieval task
-- type: the rival categories FvsPO (Figurative images vs. Partial Objects) or FLvsPO (Figurative Literal images vs. Partial Objects)
+- type: the rival categories FvsPL (Figurative images vs. Partial Literal) or FLvsPL (Figurative Literal images vs. Partial Literal)
 - figurative_type: idiom | metaphor | simile
-- first_category: the first category images (Figurative images if FvsPO, Figurative Literal images if FLvsPO)
-- second_category: the second category images (Partial Objects)
+- first_category: the first category images (Figurative images if FvsPL, Figurative Literal images if FLvsPL)
+- second_category: the second category images (Partial Literal)
 - definition (★): list of all the definitions of the idiom
 - phrase: the figurative phrase.
 
@@ -95,16 +95,16 @@ The idioms, metaphor, and similes datasets contain all the figurative phrases, a
 
 
 ## Dataset Collection
-We collected figurative and literal images for textual idioms, metaphors, and similes using an automatic pipeline we created. We annotated the relations between these images and the figurative phrase they originated from.
+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.
 
 #### Annotation process
 
 We paid Amazon Mechanical Turk Workers to annotate the relation between each image and phrase (Figurative vs. Literal).  
 
 ## Considerations for Using the Data
-- Idioms: Annotated by crowdworkers with rigorous qualifications and training.
-- Metaphors and Similes: Annotated by expert team members.
-- Detection and Ranking Tasks: Annotated by crowdworkers not involved in prior IRFL annotations.
+- Idioms: Annotated by five crowdworkers with rigorous qualifications and training.
+- Metaphors and Similes: Annotated by three expert team members.
+- Detection and Ranking Tasks: Annotated by three crowdworkers not involved in prior IRFL annotations.
 
 ### Licensing Information