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
task_categories:
  - text-classification
tags:
  - movies

MovieLens User Ratings (Teeny-Tiny Castle)

This dataset is part of a tutorial tied to the Teeny-Tiny Castle, an open-source repository containing educational tools for AI Ethics and Safety research.

How to Use

from datasets import load_dataset

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