Update README.md

README.md

@@ -844,6 +844,11 @@ configs:
   - split: test
     path: ve/test-*
 license: cc-by-nc-2.0
+task_categories:
+- text-retrieval
+language:
+- es
+pretty_name: MessIRve
 ---
 
 # Dataset Card for MessIRve
@@ -880,10 +885,6 @@ The files presented is the qrels. It is presented in a format such that it is ea
 
 ## Uses
 
-<!-- Address questions around how the dataset is intended to be used. -->
-
-### Direct Use
-
 The dataset is meant to be used to train and evaluate Spanish IR models.
 
 
@@ -910,7 +911,6 @@ A typical instance of one subset of the dataset looks like:
 ```
 
 
-
 ### Data Fields
 
 - `id`: query id
@@ -929,20 +929,12 @@ A typical instance of one subset of the dataset looks like:
 
 ### Data Splits
 
-<!-- Describe and name the splits in the dataset if there are more than one.
+We extract queries from Google's autocomplete API for 20 countries with Spanish as an official language, plus the United States. Equatorial Guinea was the only country left out because it doesn't have a Google domain.
 
-Describe any criteria for splitting the data, if used. If there are differences between the splits (e.g. if the training annotations are machine-generated and the dev and test ones are created by humans, or if different numbers of annotators contributed to each example), describe them here.
 
-Provide the sizes of each split. As appropriate, provide any descriptive statistics for the features, such as average length.  For example:
+Test should always have match_score = 1 and expanded_search = False
 
-|                         | train | validation | test |
-|-------------------------|------:|-----------:|-----:|
-| Input Sentences         |       |            |      |
-| Average Sentence Length |       |            |      |
--->
-
-
-[More Information Needed]
+For statistics for each subset and split, see the paper.
 
 
 ## Citation