---
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](https://github.com/Nkluge-correa/TeenyTinyCastle), an open-source repository containing educational tools for AI Ethics and Safety research. 

## How to Use

```python
from datasets import load_dataset

dataset = load_dataset("AiresPucrs/tmdb-5000-movies", split = 'train')
```