TheGreatRambler/mm2_level_played

Mario Maker 2 level plays

Part of the Mario Maker 2 Dataset Collection

Dataset Description

The Mario Maker 2 level plays dataset consists of 1 billion level plays from Nintendo's online service totaling around 20GB of data. 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

The Mario Maker 2 level plays dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of datasets. You can load and iterate through the dataset with the following code:

from datasets import load_dataset

ds = load_dataset("TheGreatRambler/mm2_level_played", streaming=True, split="train")
print(next(iter(ds)))

#OUTPUT:
{
 'data_id': 3000004,
 'pid': '6382913755133534321',
 'cleared': 1,
 'liked': 0
}

Each row is a unique play in the level denoted by the data_id done by the player denoted by the pid, pid is a 64 bit integer stored within a string from database limitations. cleared and liked denote if the player successfully cleared the level during their play and/or liked the level during their play. Every level has only one unique play per player.

You can also download the full dataset. Note that this will download ~20GB:

ds = load_dataset("TheGreatRambler/mm2_level_played", split="train")

Data Structure

Data Instances

{
 'data_id': 3000004,
 'pid': '6382913755133534321',
 'cleared': 1,
 'liked': 0
}

Data Fields

Field	Type	Description
data_id	int	The data ID of the level this play occured in
pid	string	Player ID of the player
cleared	bool	Whether the player cleared the level during their play
liked	bool	Whether the player liked the level during their play

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.