Update README.md

README.md

@@ -6,6 +6,20 @@ language:
 - tl
 size_categories:
 - 1K<n<10K
+
+dataset_info:
+  features:
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': 1 star
+          '1': 2 star
+          '2': 3 stars
+          '3': 4 stars
+          '4': 5 stars
+  - name: text
+    dtype: string
 ---
 
 # Dataset Card for Dataset Name
@@ -14,9 +28,9 @@ size_categories:
 
 - **Homepage:** 
 - **Repository:** 
-- **Paper:** 
+- **Paper:** [Enhancement to Low Resource Text Classification via Sequential Transfer Learning](#)
 - **Leaderboard:** 
-- **Point of Contact:** [email protected]
+- **Point of Contact:** [Neil Riego](mailto:[email protected])
 
 ### Dataset Summary
 
@@ -34,15 +48,25 @@ Tagalog (TL)
 
 ### Data Instances
 
-[More Information Needed]
+A typical data point, comprises of a text and the corresponding label.
+
+An example from the YelpReviewFull test set looks as follows:
+```
+{
+    'label': 2,
+    'text': 'Madaling masira yung sa may sinisintasan nya. Wala rin syang box. Sana mas ginawa pa na matibay para sana sulit yung pagkakabili'
+}
+```
 
 ### Data Fields
 
-[More Information Needed]
+- 'text': The review texts are escaped using double quotes ("), and any internal double quote is escaped by 2 double quotes ("").
+- 'label': Corresponds to the score associated with the review (between 1 and 5).
 
 ### Data Splits
 
-[More Information Needed]
+The Shopee reviews tl 15 dataset is constructed by randomly taking 2100 training samples and 450 samples for testing and validation for each review star from 1 to 5.
+In total there are 10500 trainig samples and 2250 each in validation and testing samples.
 
 ## Dataset Creation