Update README.md

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+task_categories:
+- text-classification
+tags:
+- sentiment analysis
+- reviews
+- text data
+- nlp
+- yelp
+- fine-grained
+- 5 classes
+pretty_name: Yelp Reviews for fine-grained Senti Analysis 5 clases
+---
+# Dataset Card for Dataset Name
+
+The Yelp reviews full star dataset is constructed by randomly taking 130,000 training samples and 10,000 testing samples for each review star from 1 to 5. In total there are 650,000 trainig samples and 50,000 testing samples.
+
+### Dataset Description
+
+The files train.csv and test.csv contain all the training samples as comma-sparated values. There are 2 columns in them, corresponding to class index (1 to 5) and review text. The review texts 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
+
+- **Link on Kaggle:** https://www.kaggle.com/datasets/yacharki/yelp-reviews-for-sa-finegrained-5-classes-csv
+- **DOI:** @misc{xiang_zhang_yassir_acharki_2023,
+	title={🏪 Yelp Reviews for SA fine-grained 5 classes CSV},
+	url={https://www.kaggle.com/ds/2078210},
+	DOI={10.34740/KAGGLE/DS/2078210},
+	publisher={Kaggle},
+	author={Xiang Zhang and Yassir Acharki},
+	year={2023}
+}
+## Uses
+
+NLP
+
+### Direct Use
+
+Fine-Grained sentiment analysis
+
+
+## Dataset Structure
+
+The Dataset Contains 
+
+Readme.md
+
+test.csv
+
+train.csv
+
+
+## Dataset Card Contact
+
+For more info visit : 
+
+https://www.kaggle.com/datasets/yacharki/yelp-reviews-for-sa-finegrained-5-classes-csv