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Formats:
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Languages:
multilingual
Size:
100M - 1B
Tags:
text-mining
License:
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Update parquet files
Browse files- README.md +0 -82
- data/train-00003-of-00006-7f7cee95dbd42196.parquet → TheGreatRambler--mm2_user_liked/parquet-train-00000-of-00006.parquet +2 -2
- data/train-00000-of-00006-b56d83babb789f6e.parquet → TheGreatRambler--mm2_user_liked/parquet-train-00001-of-00006.parquet +2 -2
- data/train-00001-of-00006-557f5cef08ba0651.parquet → TheGreatRambler--mm2_user_liked/parquet-train-00002-of-00006.parquet +2 -2
- data/train-00002-of-00006-275d7790330a8eb8.parquet → TheGreatRambler--mm2_user_liked/parquet-train-00003-of-00006.parquet +2 -2
- TheGreatRambler--mm2_user_liked/parquet-train-00004-of-00006.parquet +3 -0
- TheGreatRambler--mm2_user_liked/parquet-train-00005-of-00006.parquet +3 -0
- data/train-00004-of-00006-cbb993fe245d580a.parquet +0 -3
- data/train-00005-of-00006-963f31f636870aca.parquet +0 -3
- dataset_infos.json +0 -43
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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- 100M<n<1B
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source_datasets:
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- original
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task_categories:
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- other
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- object-detection
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- text-retrieval
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- token-classification
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- text-generation
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task_ids: []
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pretty_name: Mario Maker 2 user likes
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tags:
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- text-mining
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---
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# Mario Maker 2 user likes
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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 user likes dataset consists of 105.5 million user likes from Nintendo's online service totaling around 630MB 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.
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### How to use it
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The Mario Maker 2 user likes 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:
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```python
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from datasets import load_dataset
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ds = load_dataset("TheGreatRambler/mm2_user_liked", streaming=True, 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': 25861713
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}
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```
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Each row is a unique like in the level denoted by the `data_id` done by the player denoted by the `pid`.
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You can also download the full dataset. Note that this will download ~630MB:
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```python
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ds = load_dataset("TheGreatRambler/mm2_user_liked", split="train")
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```
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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': 25861713
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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 this user, an unsigned 64 bit integer as a string|
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|data_id|int|The data ID of the level this user liked|
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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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dataset_infos.json
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{"TheGreatRambler--mm2_user_liked": {
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