metadata

language:
  - multilingual
license:
  - cc-by-nc-sa-4.0
multilinguality:
  - multilingual
size_categories:
  - 1M<n<10M
source_datasets:
  - original
task_categories:
  - other
  - object-detection
  - text-retrieval
  - token-classification
  - text-generation
task_ids: []
pretty_name: Mario Maker 2 super world levels
tags:
  - text-mining

Mario Maker 2 super world levels

Part of the Mario Maker 2 Dataset Collection

Dataset Description

The Mario Maker 2 super world levels dataset consists of 3.3 million super world levels from Nintendo's online service and adds onto TheGreatRambler/mm2_world. The dataset was created using the self-hosted Mario Maker 2 api over the course of 1 month in February 2022.

How to use it

You can load and iterate through the dataset with the following code:

from datasets import load_dataset

ds = load_dataset("TheGreatRambler/mm2_world_levels", split="train")
print(next(iter(ds)))

#OUTPUT:
{
 'pid': '14510618610706594411',
 'data_id': 19170881,
 'ninjis': 23
}

Each row is a level within a super world owned by player pid that is denoted by data_id. Each level contains some number of ninjis ninjis, a rough metric for their popularity.

Data Structure

Data Instances

{
 'pid': '14510618610706594411',
 'data_id': 19170881,
 'ninjis': 23
}

Data Fields

Field	Type	Description
pid	string	The player ID of the user who created the super world with this level
data_id	int	The data ID of the level
ninjis	int	Number of ninjis shown on this level

Data Splits

The dataset only contains a train split.

Dataset Creation

The dataset was created over a little more than a month in Febuary 2022 using the self hosted Mario Maker 2 api. As requests made to Nintendo's servers require authentication the process had to be done with upmost care and limiting download speed as to not overload the API and risk a ban. There are no intentions to create an updated release of this dataset.

Considerations for Using the Data

The dataset contains no harmful language or depictions.