Search is not available for this dataset
pid
stringlengths
12
20
data_id
int32
3M
35.9M
4920036968545706712
25,548,552
4920036968545706712
23,946,849
4920036968545706712
28,307,437
4920036968545706712
26,264,092
4920036968545706712
25,424,279
4920036968545706712
23,962,924
4920036968545706712
26,556,912
4920036968545706712
8,000,641
4920036968545706712
10,815,514
4920036968545706712
28,380,573
4920036968545706712
28,526,761
4920036968545706712
5,589,444
4920036968545706712
18,773,361
4920036968545706712
26,785,871
4920036968545706712
26,050,663
4920036968545706712
28,325,246
4920036968545706712
28,383,737
4920036968545706712
28,344,510
4920036968545706712
24,693,004
4920036968545706712
25,325,135
4920036968545706712
24,607,103
4920036968545706712
14,858,838
4920036968545706712
25,217,388
4920036968545706712
23,762,803
4920036968545706712
19,152,072
4920036968545706712
22,338,661
4920036968545706712
22,137,497
4920036968545706712
22,323,170
4920036968545706712
20,348,542
4920036968545706712
20,949,377
4920036968545706712
22,293,373
4920036968545706712
21,880,941
4920036968545706712
22,104,437
4920036968545706712
21,278,349
4920036968545706712
10,442,975
4920036968545706712
7,401,847
4920036968545706712
21,179,671
4920036968545706712
10,486,925
4920036968545706712
18,537,723
4920036968545706712
22,295,006
4920036968545706712
22,275,352
4920036968545706712
22,270,283
4920036968545706712
22,333,438
4920036968545706712
18,965,563
4920036968545706712
3,000,382
4920036968545706712
17,128,893
4920036968545706712
16,318,026
4920036968545706712
21,503,653
4920036968545706712
15,770,304
4920036968545706712
20,716,446
4920036968545706712
12,570,718
4920036968545706712
9,717,581
4920036968545706712
22,084,109
4920036968545706712
14,965,069
4920036968545706712
7,086,643
4920036968545706712
22,248,391
4920036968545706712
16,280,480
4920036968545706712
21,940,422
4920036968545706712
22,288,417
4920036968545706712
22,206,340
4920036968545706712
22,284,292
4920036968545706712
18,820,786
4920036968545706712
20,985,475
4920036968545706712
18,870,537
4920036968545706712
22,315,959
4920036968545706712
22,194,669
4920036968545706712
22,241,915
4920036968545706712
20,871,322
4920036968545706712
20,247,764
4920036968545706712
19,901,432
4920036968545706712
22,172,685
4920036968545706712
17,987,507
4920036968545706712
22,285,663
4920036968545706712
21,966,893
4920036968545706712
21,240,274
4920036968545706712
19,682,361
4920036968545706712
11,919,722
4920036968545706712
18,024,711
4920036968545706712
19,954,919
4920036968545706712
18,740,289
4920036968545706712
21,673,649
4920036968545706712
21,841,029
4920036968545706712
8,834,966
4920036968545706712
20,946,926
4920036968545706712
20,437,650
13961409136964167589
6,559,893
13961409136964167589
15,207,009
13961409136964167589
21,147,348
13961409136964167589
5,905,084
13961409136964167589
23,034,540
13961409136964167589
9,771,263
13961409136964167589
4,614,980
13961409136964167589
4,353,361
13961409136964167589
5,394,830
13961409136964167589
3,156,955
13961409136964167589
7,654,793
13961409136964167589
8,571,803
13961409136964167589
12,631,957
13961409136964167589
3,006,426
13961409136964167589
16,334,721

Mario Maker 2 user plays

Part of the Mario Maker 2 Dataset Collection

Dataset Description

The Mario Maker 2 user plays dataset consists of 329.8 million user plays from Nintendo's online service totaling around 2GB 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 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_user_played", streaming=True, split="train")
print(next(iter(ds)))

#OUTPUT:
{
 'pid': '4920036968545706712',
 'data_id': 25548552
}

Each row is a unique play 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 ~2GB:

ds = load_dataset("TheGreatRambler/mm2_user_played", split="train")

Data Structure

Data Instances

{
 'pid': '4920036968545706712',
 'data_id': 25548552
}

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 played

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.

Downloads last month
117