README.md

metadata

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: userId
      dtype: int64
    - name: movieId
      dtype: int64
    - name: rating
      dtype: float64
    - name: timestamp
      dtype: int64
  splits:
    - name: train
      num_bytes: 3226752
      num_examples: 100836
  download_size: 1166644
  dataset_size: 3226752
license: other
language:
  - en
pretty_name: movielens-user-ratings
size_categories:
  - 100K<n<1M

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. 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. 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:

@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

from datasets import load_dataset

dataset = load_dataset("AiresPucrs/movielens-user-ratings", split='train')

License

This dataset is licensed under the USAGE LICENSE - Other.