userId
int64 1
610
| movieId
int64 1
194k
| rating
float64 0.5
5
| timestamp
int64 828M
1.54B
|
|---|---|---|---|
1 | 1 | 4 | 964,982,703 |
1 | 3 | 4 | 964,981,247 |
1 | 6 | 4 | 964,982,224 |
1 | 47 | 5 | 964,983,815 |
1 | 50 | 5 | 964,982,931 |
1 | 70 | 3 | 964,982,400 |
1 | 101 | 5 | 964,980,868 |
1 | 110 | 4 | 964,982,176 |
1 | 151 | 5 | 964,984,041 |
1 | 157 | 5 | 964,984,100 |
1 | 163 | 5 | 964,983,650 |
1 | 216 | 5 | 964,981,208 |
1 | 223 | 3 | 964,980,985 |
1 | 231 | 5 | 964,981,179 |
1 | 235 | 4 | 964,980,908 |
1 | 260 | 5 | 964,981,680 |
1 | 296 | 3 | 964,982,967 |
1 | 316 | 3 | 964,982,310 |
1 | 333 | 5 | 964,981,179 |
1 | 349 | 4 | 964,982,563 |
1 | 356 | 4 | 964,980,962 |
1 | 362 | 5 | 964,982,588 |
1 | 367 | 4 | 964,981,710 |
1 | 423 | 3 | 964,982,363 |
1 | 441 | 4 | 964,980,868 |
1 | 457 | 5 | 964,981,909 |
1 | 480 | 4 | 964,982,346 |
1 | 500 | 3 | 964,981,208 |
1 | 527 | 5 | 964,984,002 |
1 | 543 | 4 | 964,981,179 |
1 | 552 | 4 | 964,982,653 |
1 | 553 | 5 | 964,984,153 |
1 | 590 | 4 | 964,982,546 |
1 | 592 | 4 | 964,982,271 |
1 | 593 | 4 | 964,983,793 |
1 | 596 | 5 | 964,982,838 |
1 | 608 | 5 | 964,982,931 |
1 | 648 | 3 | 964,982,563 |
1 | 661 | 5 | 964,982,838 |
1 | 673 | 3 | 964,981,775 |
1 | 733 | 4 | 964,982,400 |
1 | 736 | 3 | 964,982,653 |
1 | 780 | 3 | 964,984,086 |
1 | 804 | 4 | 964,980,499 |
1 | 919 | 5 | 964,982,475 |
1 | 923 | 5 | 964,981,529 |
1 | 940 | 5 | 964,982,176 |
1 | 943 | 4 | 964,983,614 |
1 | 954 | 5 | 964,983,219 |
1 | 1,009 | 3 | 964,981,775 |
1 | 1,023 | 5 | 964,982,681 |
1 | 1,024 | 5 | 964,982,876 |
1 | 1,025 | 5 | 964,982,791 |
1 | 1,029 | 5 | 964,982,855 |
1 | 1,030 | 3 | 964,982,903 |
1 | 1,031 | 5 | 964,982,653 |
1 | 1,032 | 5 | 964,982,791 |
1 | 1,042 | 4 | 964,981,179 |
1 | 1,049 | 5 | 964,982,400 |
1 | 1,060 | 4 | 964,980,924 |
1 | 1,073 | 5 | 964,981,680 |
1 | 1,080 | 5 | 964,981,327 |
1 | 1,089 | 5 | 964,982,951 |
1 | 1,090 | 4 | 964,984,018 |
1 | 1,092 | 5 | 964,983,484 |
1 | 1,097 | 5 | 964,981,680 |
1 | 1,127 | 4 | 964,982,513 |
1 | 1,136 | 5 | 964,981,327 |
1 | 1,196 | 5 | 964,981,827 |
1 | 1,197 | 5 | 964,981,872 |
1 | 1,198 | 5 | 964,981,827 |
1 | 1,206 | 5 | 964,983,737 |
1 | 1,208 | 4 | 964,983,250 |
1 | 1,210 | 5 | 964,980,499 |
1 | 1,213 | 5 | 964,982,951 |
1 | 1,214 | 4 | 964,981,855 |
1 | 1,219 | 2 | 964,983,393 |
1 | 1,220 | 5 | 964,981,909 |
1 | 1,222 | 5 | 964,981,909 |
1 | 1,224 | 5 | 964,984,018 |
1 | 1,226 | 5 | 964,983,618 |
1 | 1,240 | 5 | 964,983,723 |
1 | 1,256 | 5 | 964,981,442 |
1 | 1,258 | 3 | 964,983,414 |
1 | 1,265 | 4 | 964,983,599 |
1 | 1,270 | 5 | 964,983,705 |
1 | 1,275 | 5 | 964,982,290 |
1 | 1,278 | 5 | 964,983,414 |
1 | 1,282 | 5 | 964,982,703 |
1 | 1,291 | 5 | 964,981,909 |
1 | 1,298 | 5 | 964,984,086 |
1 | 1,348 | 4 | 964,983,393 |
1 | 1,377 | 3 | 964,982,653 |
1 | 1,396 | 3 | 964,983,017 |
1 | 1,408 | 3 | 964,982,310 |
1 | 1,445 | 3 | 964,984,112 |
1 | 1,473 | 4 | 964,980,875 |
1 | 1,500 | 4 | 964,980,985 |
1 | 1,517 | 5 | 964,981,107 |
1 | 1,552 | 4 | 964,982,620 |
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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.
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