Update README.md

README.md

@@ -1,3 +1,67 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+task_categories:
+- text-classification
+tags:
+- sentiment analysis
+- amazon
+- reviews
+- binary
+- text data
+- nlp
+pretty_name: Amazon Reviewsfor Binary Senti_Analysis
+---
+# Dataset Card for Dataset Name
+
+<!-- Provide a quick summary of the dataset. -->
+
+The Amazon reviews polarity dataset is constructed by taking review score 1 and 2 as negative, and 4 and 5 as positive. Samples of score 3 is ignored. In the dataset, class 1 is the negative and class 2 is the positive. Each class has 1,800,000 training samples and 200,000 testing samples.
+
+
+## Dataset Details
+
+### Dataset Description
+
+The files train.csv and test.csv contain all the training samples as comma-sparated values. There are 3 columns in them, corresponding to class index (1 or 2), review title and review text. The review title and text are escaped using double quotes ("), and any internal double quote is escaped by 2 double quotes (""). New lines are escaped by a backslash followed with an "n" character, that is "\n".
+
+- **License:** Apache 2
+
+### Dataset Sources [optional]
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Link on Kaggle:** https://www.kaggle.com/datasets/yacharki/amazon-reviews-for-sa-binary-negative-positive-csv/data
+- **Demo [optional]: [@misc{xiang_zhang_yassir_acharki_2023,
+	title={🛒 Amazon Reviews for Senti-Analysis Binary -N/P+},
+	url={https://www.kaggle.com/dsv/5339021},
+	DOI={10.34740/KAGGLE/DSV/5339021},
+	publisher={Kaggle},
+	author={Xiang Zhang and Yassir Acharki},
+	year={2023}
+}
+
+## Uses
+
+NLP
+
+### Direct Use
+
+Binary sentiment analysis
+
+
+## Dataset Structure
+
+The Dataset Contains 
+
+readme.txt
+
+test.csv
+
+train.csv
+
+
+## Dataset Card Contact
+
+For more info visit : 
+
+https://www.kaggle.com/datasets/yacharki/amazon-reviews-for-sa-binary-negative-positive-csv/data