Update README.md

README.md

@@ -14,6 +14,8 @@ language:
 metrics:
 - accuracy
 library_name: transformers
+datasets:
+- dipawidia/ecommerce-product-reviews-sentiment
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
@@ -22,6 +24,7 @@ probably proofread and complete it, then remove this comment. -->
 # dipawidia/xlnet-base-cased-product-review-sentiment-analysis
 
 This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on any type of product reviews dataset gathered from several e-commerce such as shopee, tokopedia, blibli, lazada, and zalora.
+The dataset can be found [here](https://huggingface.co/dipawidia/ecommerce-product-reviews-sentiment)
 It achieves the following results on the evaluation set:
 - Train Loss: 0.1085
 - Train Accuracy: 0.9617
@@ -72,10 +75,6 @@ Output:
 Negative
 ```
 
-## Training and evaluation data
-
-More information needed
-
 ## Training procedure
 
 ### Training hyperparameters