Update README.md

README.md

@@ -16,32 +16,29 @@ dataset_info:
     num_examples: 6224733
   download_size: 26603606845
   dataset_size: 42860023362
+  annotations_creators:
+  - no-annotation
+  language:
+  - '''es'
+  - en'
+  language_creators:
+  - other
+  license: []
+  multilinguality:
+  - multilingual
+  pretty_name: spanish-tweets
+  size_categories:
+  - 100M<n<1B
+  source_datasets:
+  - original
+  tags:
+  - language-modeling
+  task_categories:
+  - fill-mask
 ---
-# Dataset Card for "spanish-tweets"
 
----
-annotations_creators:
-- no-annotation
-language:
-- '''es'
-- en'
-language_creators:
-- other
-license: []
-multilinguality:
-- multilingual
-pretty_name: spanish-tweets
-size_categories:
-- 100M<n<1B
-source_datasets:
-- original
-tags:
-- language-modeling
-task_categories:
-- fill-mask
----
+# Dataset Card for "spanish-tweets"
 
-# Dataset Card for [Dataset Name]
 
 ## Table of Contents
 - [Table of Contents](#table-of-contents)
@@ -97,8 +94,10 @@ The full process of data collection is described in the paper. Here we roughly o
 - A Spritzer collection uploaded to Archive.org dating from May 2019 was downloaded
 - From this, we only kept tweets with language metadata equal to Spanish, and mark the users who posted these messages.
 - Then, the tweetline from each of these marked users was downloaded.
-- In total, the collection consists of around 622M tweets from around 432K users.
-- 
+
+
+This corpus consists of 622M tweets from around 432K users.
+
 ### Citation Information
 
 ```