Update README.md

README.md

@@ -20,7 +20,69 @@ dataset_info:
     num_examples: 100836
   download_size: 1166644
   dataset_size: 3226752
+license: other
+language:
+- en
+pretty_name: movielens-user-ratings
+size_categories:
+- 100K<n<1M
 ---
-# Dataset Card for "movielens_user_ratings.csv"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+# Movielens-user-ratings
+This dataset contains a set of movie ratings from the MovieLens website, a movie recommendation service.
+
+## Overview 
+MovieLens data sets were collected by the GroupLens Research Project at the University of Minnesota.
+The GroupLens Research has collected and made available rating data sets from the [MovieLens website](https://movielens.org). 
+MovieLens 100K movie ratings contain 100,000 ratings(1-5)from 943 users on 1682 movies. Released 1998.
+
+## Dataset Details
+The dataset from Kaggle is named [MovieLens100](https://www.kaggle.com/datasets/abhikjha/movielens-100k). 
+Contains different CSV files for Movies, Ratings, Links, and Tags. We used only the file "ratings.csv" in **movielens-user-ratings dataset**.
+
+- Dataset Name: movielens-user-ratings
+- Language:  English
+- Total Size: 100,836 demonstrations
+
+**Citation:**
+```latex
+@article{10.1145/2827872,
+author = {Harper, F. Maxwell and Konstan, Joseph A.},
+title = {The MovieLens Datasets: History and Context},
+year = {2015},
+issue_date = {January 2016},
+publisher = {Association for Computing Machinery},
+address = {New York, NY, USA},
+volume = {5},
+number = {4},
+issn = {2160-6455},
+url = {https://doi.org/10.1145/2827872},
+doi = {10.1145/2827872},
+journal = {ACM Trans. Interact. Intell. Syst.},
+month = dec,
+articleno = {19},
+numpages = {19},
+keywords = {Datasets, recommendations, ratings, MovieLens}
+}
+```
+## Contents
+
+The dataset consists of a data frame with the following columns:
+
+- **userId:** a unique identifier of the user who made the rating.
+- **movieId:**  a unique identifier of the rated movie.
+- **rating:** the score of the rating on a five-star scale.
+- **timestamp:** the timestamp of the ratings.
+
+## How to use
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("AiresPucrs/movielens-user-ratings", split='train')
+
+```
+
+## License
+
+This dataset is licensed under the USAGE LICENSE - [Other](https://files.grouplens.org/datasets/movielens/ml-100k-README.txt).