TheGreatRambler/mm2_user_badges

Mario Maker 2 user badges

Part of the Mario Maker 2 Dataset Collection

Dataset Description

The Mario Maker 2 user badges dataset consists of 9328 user badges (they are capped to 10k globally) from Nintendo's online service and adds onto TheGreatRambler/mm2_user. 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_user_badges", split="train")
print(next(iter(ds)))

#OUTPUT:
{
 'pid': '1779763691699286988',
 'type': 4,
 'rank': 6
}

Each row is a badge awarded to the player denoted by pid. TheGreatRambler/mm2_user contains these players.

Data Structure

Data Instances

{
 'pid': '1779763691699286988',
 'type': 4,
 'rank': 6
}

Data Fields

Field	Type	Description
pid	string	Player ID
type	int	The kind of badge, enum below
rank	int	The rank of badge, enum below

Data Splits

The dataset only contains a train split.

Enums

The dataset contains some enum integer fields. This can be used to convert back to their string equivalents:

BadgeTypes = {
    0: "Maker Points (All-Time)",
    1: "Endless Challenge (Easy)",
    2: "Endless Challenge (Normal)",
    3: "Endless Challenge (Expert)",
    4: "Endless Challenge (Super Expert)",
    5: "Multiplayer Versus",
    6: "Number of Clears",
    7: "Number of First Clears",
    8: "Number of World Records",
    9: "Maker Points (Weekly)"
}

BadgeRanks = {
    6: "Bronze",
    5: "Silver",
    4: "Gold",
    3: "Bronze Ribbon",
    2: "Silver Ribbon",
    1: "Gold Ribbon"
}

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.