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---
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')
```
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