Update README.md

README.md

@@ -18,7 +18,6 @@ size_categories:
   - [Languages](#languages)
 - [Dataset Structure](#dataset-structure)
   - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
 - [Dataset Creation](#dataset-creation)
 - [Considerations for Using the Data](#considerations-for-using-the-data)
   - [Licensing Information](#licensing-information)
@@ -61,22 +60,36 @@ English.
 ## Dataset Structure
 
 ### Data Fields
-
-
-### Data Splits
+★ - refers to idiom-only fields
+
+**Understanding task**
+query (★): the idiom definition the answer image originated from.
+distractors: the distractor images
+answer: the correct image 
+figurative_type: idiom | metaphor | simile
+images_metadata: the metadata of the distractors and asnwer images. 
+type: the correct image type (Figurative or Figurative Literal).
+definition (★): list of all the definitions of the idiom
+phrase: the figurative phrase.
+
+**Preference task**
+type: the rival categories FvsPO (Figurative images vs. Partial Objects) or FLvsPO (Figurative Literal images vs. Partial Objects)
+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)
+definition (★): list of all the definitions of the idiom
+phrase: the figurative phrase.
 
 
 ## Dataset Collection
-
-
-### Annotations
+We collected figurative and literal images for textual idioms, metaphors, and similes using an automatic pipeline we created (idioms) and manually (metaphors + 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 relations between each image and phrase (Figurative vs. Literal).  
 
 ## Considerations for Using the Data
-
+5 annotators annotated all of the data releases.
 
 
 ### Licensing Information