TheGreatRambler/mm2_user_first_cleared

---
language:
- multilingual
license:
- cc-by-nc-sa-4.0
multilinguality:
- multilingual
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- other
- object-detection
- text-retrieval
- token-classification
- text-generation
task_ids: []
pretty_name: Mario Maker 2 user first clears
tags:
- text-mining
---

# Mario Maker 2 user first clears
Part of the [Mario Maker 2 Dataset Collection](https://tgrcode.com/posts/mario_maker_2_datasets)

## Dataset Description
The Mario Maker 2 user first clears dataset consists of 17.8 million first clears from Nintendo's online service totaling around 157MB of data. 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.

### How to use it
The Mario Maker 2 user first clears 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:

```python
from datasets import load_dataset

ds = load_dataset("TheGreatRambler/mm2_user_first_cleared", streaming=True, split="train")
print(next(iter(ds)))

#OUTPUT:
{
'pid': '14510618610706594411',
'data_id': 25199891
}
```
Each row is a unique first clear 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 ~157MB:
```python
ds = load_dataset("TheGreatRambler/mm2_user_first_cleared", split="train")
```

## Data Structure

### Data Instances

```python
{
'pid': '14510618610706594411',
'data_id': 25199891
}
```

### 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 first cleared|

### Data Splits

The dataset only contains a train split.

<!-- TODO create detailed statistics -->

## Dataset Creation

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.

## Considerations for Using the Data

The dataset contains no harmful language or depictions.

原始信息汇总

Mario Maker 2 user first clears 数据集概述

基本信息

• 语言: 多语言
• 许可证: cc-by-nc-sa-4.0
• 多语言性: 多语言
• 数据集大小: 10M<n<100M
• 数据来源: 原始数据
• 任务类别: 其他, 目标检测, 文本检索, 令牌分类, 文本生成
• 任务ID: 无
• 美观名称: Mario Maker 2 user first clears
• 标签: 文本挖掘

数据集描述

• 数据内容: 包含17.8百万个首次通关记录，总数据量约157MB。
• 采集时间: 2022年2月，历时约一个月。
• 采集方式: 使用自托管的Mario Maker 2 API。

数据结构

• 数据实例: python { pid: 14510618610706594411, data_id: 25199891 }

• 数据字段:

  字段	类型	描述
  pid	string	玩家ID，64位无符号整数作为字符串
  data_id	int	玩家首次通关的关卡数据ID

• 数据分割: 仅包含训练集。

数据使用

• 加载方式: 推荐使用datasets库的流式API加载数据。
• 示例代码: python from datasets import load_dataset ds = load_dataset("TheGreatRambler/mm2_user_first_cleared", streaming=True, split="train") print(next(iter(ds)))

数据集创建

• 创建时间: 2022年2月，持续一个多月。
• 创建过程: 通过自托管的Mario Maker 2 API进行数据收集，需注意避免对Nintendo服务器造成过载。
• 更新计划: 无更新计划。

使用考虑

• 内容审查: 数据集不含有害语言或描绘。