Datasets:
pid
stringlengths 13
20
| data_id
int32 3M
35.9M
|
---|---|
14510618610706594411 | 24,866,513 |
14510618610706594411 | 16,698,938 |
2293977482985906474 | 29,544,220 |
2293977482985906474 | 26,691,015 |
2293977482985906474 | 27,340,766 |
2293977482985906474 | 31,426,677 |
2293977482985906474 | 25,979,654 |
2293977482985906474 | 30,521,393 |
2293977482985906474 | 28,746,734 |
2293977482985906474 | 26,942,612 |
2293977482985906474 | 26,928,776 |
2293977482985906474 | 27,992,909 |
2293977482985906474 | 30,794,303 |
2293977482985906474 | 27,087,106 |
2293977482985906474 | 16,151,617 |
2293977482985906474 | 20,186,676 |
2293977482985906474 | 30,925,584 |
2293977482985906474 | 11,540,187 |
2293977482985906474 | 28,312,254 |
2293977482985906474 | 21,667,636 |
2293977482985906474 | 20,508,642 |
2293977482985906474 | 11,459,407 |
2293977482985906474 | 10,039,338 |
2293977482985906474 | 10,210,518 |
2293977482985906474 | 10,859,610 |
2293977482985906474 | 11,356,385 |
2293977482985906474 | 11,377,998 |
2293977482985906474 | 11,385,606 |
2293977482985906474 | 8,970,870 |
2293977482985906474 | 8,478,609 |
2293977482985906474 | 10,763,631 |
2293977482985906474 | 7,601,359 |
2293977482985906474 | 11,152,981 |
2293977482985906474 | 10,497,862 |
2293977482985906474 | 10,740,560 |
2293977482985906474 | 11,250,164 |
2293977482985906474 | 11,245,881 |
2293977482985906474 | 10,883,938 |
2293977482985906474 | 10,781,016 |
2293977482985906474 | 8,398,860 |
12451715182814376187 | 14,844,106 |
12451715182814376187 | 14,844,015 |
12451715182814376187 | 14,185,805 |
12451715182814376187 | 11,779,453 |
12451715182814376187 | 10,298,941 |
12451715182814376187 | 9,969,613 |
12451715182814376187 | 8,447,896 |
12451715182814376187 | 8,814,698 |
12451715182814376187 | 7,754,982 |
12451715182814376187 | 8,807,424 |
12451715182814376187 | 8,574,405 |
8745810603689200367 | 7,464,500 |
8745810603689200367 | 8,626,979 |
8745810603689200367 | 3,757,670 |
8745810603689200367 | 9,589,082 |
8745810603689200367 | 8,769,213 |
8745810603689200367 | 9,474,307 |
8745810603689200367 | 9,326,154 |
8745810603689200367 | 8,766,481 |
7044193507625932468 | 9,231,184 |
7044193507625932468 | 6,939,262 |
7044193507625932468 | 8,997,943 |
17991284281847438145 | 29,306,545 |
17991284281847438145 | 4,694,238 |
4856093226639021721 | 14,022,997 |
4856093226639021721 | 17,313,565 |
4856093226639021721 | 23,497,778 |
4856093226639021721 | 22,684,247 |
4856093226639021721 | 20,240,938 |
4856093226639021721 | 15,728,688 |
4856093226639021721 | 22,163,244 |
4856093226639021721 | 5,312,792 |
4856093226639021721 | 17,327,488 |
4856093226639021721 | 10,992,615 |
4856093226639021721 | 23,811,239 |
4856093226639021721 | 18,192,549 |
4856093226639021721 | 23,515,860 |
4856093226639021721 | 12,464,821 |
4856093226639021721 | 10,815,870 |
4856093226639021721 | 15,205,430 |
4856093226639021721 | 6,447,092 |
4856093226639021721 | 15,930,470 |
4856093226639021721 | 16,160,767 |
4856093226639021721 | 17,228,149 |
4856093226639021721 | 12,522,189 |
4856093226639021721 | 22,256,209 |
4856093226639021721 | 23,189,792 |
4856093226639021721 | 5,086,066 |
4856093226639021721 | 23,491,484 |
4856093226639021721 | 22,924,527 |
4856093226639021721 | 11,784,661 |
4856093226639021721 | 23,171,720 |
4856093226639021721 | 14,761,760 |
4856093226639021721 | 21,377,039 |
4856093226639021721 | 21,306,220 |
4856093226639021721 | 3,873,660 |
4856093226639021721 | 14,770,047 |
4856093226639021721 | 18,794,118 |
4856093226639021721 | 22,832,414 |
4856093226639021721 | 20,071,658 |
Mario Maker 2 user world records
Part of the Mario Maker 2 Dataset Collection
Dataset Description
The Mario Maker 2 user world records dataset consists of 15.3 million world records from Nintendo's online service totaling around 215MB 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 user world records 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_user_world_record", streaming=True, split="train")
print(next(iter(ds)))
#OUTPUT:
{
'pid': '14510618610706594411',
'data_id': 24866513
}
Each row is a unique world record in the level denoted by the data_id
done by the player denoted by the pid
.
You can also download the full dataset. Note that this will download ~215MB:
ds = load_dataset("TheGreatRambler/mm2_user_world_record", split="train")
Data Structure
Data Instances
{
'pid': '14510618610706594411',
'data_id': 24866513
}
Data Fields
Field | Type | Description |
---|---|---|
pid | string | The player ID of this user, an unsigned 64 bit integer as a string |
data_id | int | The data ID of the level this user got world record on |
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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