README.md

metadata

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: id
      dtype: int64
    - name: budget
      dtype: int64
    - name: genres
      dtype: string
    - name: homepage
      dtype: string
    - name: keywords
      dtype: string
    - name: original_language
      dtype: string
    - name: original_title
      dtype: string
    - name: overview
      dtype: string
    - name: popularity
      dtype: float64
    - name: production_companies
      dtype: string
    - name: production_countries
      dtype: string
    - name: release_date
      dtype: string
    - name: revenue
      dtype: int64
    - name: runtime
      dtype: float64
    - name: spoken_languages
      dtype: string
    - name: status
      dtype: string
    - name: tagline
      dtype: string
    - name: title
      dtype: string
    - name: vote_average
      dtype: float64
    - name: vote_count
      dtype: int64
    - name: cast
      dtype: string
    - name: crew
      dtype: string
  splits:
    - name: train
      num_bytes: 40655819
      num_examples: 4803
  download_size: 13875246
  dataset_size: 40655819
license: other
language:
  - en
pretty_name: TMDB 5000 Movies
size_categories:
  - 1K<n<10K
task_categories:
  - text-classification
tags:
  - movies

TMDB 5000 Movies (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/tmdb-5000-movies", split = 'train')