Datasets:
data_id
int32 3M
6.64M
| pid
stringlengths 12
20
| cleared
int32 0
1
| liked
int32 0
1
|
---|---|---|---|
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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.
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