Update README.md

README.md

@@ -8,8 +8,21 @@ datasets:
 widget:
 - text: "من أفضل الكتب التي قرأتها في هذا العام"
   example_title: "Positive"
-- text: "The goal of life is <mask>."
-  example_title: "Philosophy"
+- text: "الكتاب سيء، لا أنصح أحد بقراءته أبدا"
+  example_title: "Negative"
+- text: "لا يمكنك الجزم بشيء حول هذا الكتاب"
+  example_title: "Neutral"
 ---
 
-This model is a finetune version of [UBC-NLP/MARBERTv2](https://huggingface.co/UBC-NLP/MARBERTv2) on [labr](https://huggingface.co/datasets/labr) 
+# Introduction
+This model predicts the sentiment of a text if it is Positive, Neutral, or Negative. This model is a finetune version of [UBC-NLP/MARBERTv2](https://huggingface.co/UBC-NLP/MARBERTv2) on [labr](https://huggingface.co/datasets/labr).
+
+# Data
+The data used is [labr](https://huggingface.co/datasets/labr), an Arabic book reviews dataset. The sentiment is obtained from the number of stars given by each review.
+
+| Nubmer of stars | Sentiment |
+|-----------------|-----------|
+| 1-2             | Negative  |
+| 3               | Neutral   |
+| 4-5             | Positive  |
+