> ## Documentation Index
> Fetch the complete documentation index at: https://nixtla-old-docs.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

> Download the M3 dataset.

# M3 dataset

> M3 meta information

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<a href="https://github.com/Nixtla/datasetsforecast/blob/main/datasetsforecast/m4.py#L68" target="_blank" style={{ float: "right", fontSize: "smaller" }}>source</a>

### Other

> ```text theme={null}
>  Other (seasonality:int=1, horizon:int=8, freq:str='D',
>         sheet_name:str='M3Other', name:str='Other', n_ts:int=174)
> ```

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<a href="https://github.com/Nixtla/datasetsforecast/blob/main/datasetsforecast/m4.py#L35" target="_blank" style={{ float: "right", fontSize: "smaller" }}>source</a>

### Monthly

> ```text theme={null}
>  Monthly (seasonality:int=12, horizon:int=18, freq:str='M',
>           sheet_name:str='M3Month', name:str='Monthly', n_ts:int=1428)
> ```

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<a href="https://github.com/Nixtla/datasetsforecast/blob/main/datasetsforecast/m4.py#L27" target="_blank" style={{ float: "right", fontSize: "smaller" }}>source</a>

### Quarterly

> ```text theme={null}
>  Quarterly (seasonality:int=4, horizon:int=8, freq:str='Q',
>             sheet_name:str='M3Quart', name:str='Quarterly', n_ts:int=756)
> ```

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<a href="https://github.com/Nixtla/datasetsforecast/blob/main/datasetsforecast/m4.py#L19" target="_blank" style={{ float: "right", fontSize: "smaller" }}>source</a>

### Yearly

> ```text theme={null}
>  Yearly (seasonality:int=1, horizon:int=6, freq:str='Y',
>          sheet_name:str='M3Year', name:str='Yearly', n_ts:int=645)
> ```

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<a href="https://github.com/Nixtla/datasetsforecast/blob/main/datasetsforecast/m3.py#L64" target="_blank" style={{ float: "right", fontSize: "smaller" }}>source</a>

### M3

> ```text theme={null}
>  M3 ()
> ```