metadata

language:
  - multilingual
license:
  - cc-by-nc-sa-4.0
multilinguality:
  - multilingual
size_categories:
  - 100M<n<1B
source_datasets:
  - original
task_categories:
  - text-generation
  - structure-prediction
  - object-detection
  - text-mining
  - information-retrieval
  - other
task_ids: []
pretty_name: Mario Maker 2 level deaths
tags: []

Mario Maker 2 level deaths

Part of the Mario Maker 2 Dataset Collection

Dataset Description

The Mario Maker 2 level deaths dataset consists of 564 million level deaths from Nintendo's online service totaling around 2.5GB 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 deaths 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_deaths", streaming=True, split="train")
print(next(iter(ds)))

#OUTPUT:
{
 'data_id': 3000382,
 'x': 696,
 'y': 0,
 'is_subworld': 0
}

Each row is a unique death in the level denoted by the data_id that occurs at the provided coordinates. is_subworld denotes whether the death happened in the main world or the subworld.

You can also download the full dataset. Note that this will download ~2.5GB:

ds = load_dataset("TheGreatRambler/mm2_level_deaths", split="train")

Data Structure

Data Instances

{
 'data_id': 3000382,
 'x': 696,
 'y': 0,
 'is_subworld': 0
}

Data Fields

Field	Type	Description
data_id	int	The data ID of the level this death occured in
x	int	X coordinate of death
y	int	Y coordinate of death
is_subworld	bool	Whether the death happened in the main world or the subworld

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.