Datasets:
TheGreatRambler
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README.md
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---
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language:
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- multilingual
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license:
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- cc-by-nc-sa-4.0
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multilinguality:
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- multilingual
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size_categories:
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- 1M<n<10M
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source_datasets:
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- original
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task_categories:
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- text-generation
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- structure-prediction
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- object-detection
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- text-mining
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- information-retrieval
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- other
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task_ids:
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- other
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pretty_name: Mario Maker 2 super world levels
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---
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# Mario Maker 2 super world levels
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Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)
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## Dataset Description
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The Mario Maker 2 super world levels dataset consists of 3.3 million super world levels from Nintendo's online service and adds onto `TheGreatRambler/mm2_world`. The dataset was created using the self-hosted [Mario Maker 2 api](https://tgrcode.com/posts/mario_maker_2_api) over the course of 1 month in February 2022.
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### How to use it
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You can load and iterate through the dataset with the following code:
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```python
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from datasets import load_dataset
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ds = load_dataset("TheGreatRambler/mm2_world_levels", split="train")
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print(next(iter(ds)))
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#OUTPUT:
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{
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'pid': '14510618610706594411',
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'data_id': 19170881,
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'ninjis': 23
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}
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```
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Each row is a level within a super world owned by player `pid` that is denoted by `data_id`. Each level contains some number of ninjis `ninjis`, a rough metric for their popularity.
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## Data Structure
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### Data Instances
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```python
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{
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'pid': '14510618610706594411',
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'data_id': 19170881,
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'ninjis': 23
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}
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```
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### Data Fields
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|Field|Type|Description|
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|---|---|---|
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|pid|string|The player ID of the user who created the super world with this level|
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|data_id|int|The data ID of the level|
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|ninjis|int|Number of ninjis shown on this level|
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### Data Splits
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The dataset only contains a train split.
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<!-- TODO create detailed statistics -->
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## Dataset Creation
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The dataset was created over a little more than a month in Febuary 2022 using the self hosted [Mario Maker 2 api](https://tgrcode.com/posts/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.
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## Considerations for Using the Data
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The dataset contains no harmful language or depictions.
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