README.md

---
language:
- ja
license: cc-by-4.0
size_categories:
- 10K<n<100K
task_categories:
- tabular-regression
- tabular-classification
pretty_name: '"7days Weather Forecast in Japan (Dataset)"'
dataset_info:
  features:
  - name: from_date
    dtype: string
  - name: from_hour
    dtype: string
  - name: diff_days
    dtype: string
  - name: target_date
    dtype: string
  - name: target_place
    dtype: string
  - name: weather
    dtype: string
  - name: rain
    dtype: string
  - name: confidence
    dtype: string
  - name: lowest
    dtype: string
  - name: highest
    dtype: string
  - name: observatory_name
    dtype: string
  - name: observatory_code
    dtype: string
  - name: html_obtained_datetime
    dtype: string
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 32340057
    num_examples: 199628
  download_size: 2370455
  dataset_size: 32340057
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- climate
---
## Overview
This dataset contains daily-collected weather forecasts for up to seven days ahead for all the meteorological observatories in Japan, published by the Japan Meteorological Agency (JMA) at [https://www.jma.go.jp/bosai/forecast/](https://www.jma.go.jp/bosai/forecast/). 
We collect, structurize, and accumulate the prediction since the page is overridden whenever the information is updated. 

The data is automatically updated daily using GitHub Actions. Since the actual forecasts are published multiple times a day, we set up the column `from_hour` which represetnts the announced time.

Further details are also available at [note.com/jniimi/n/n06d3423bbbbf](https://note.com/jniimi/n/n06d3423bbbbf) (Japanese only). 

## Usage
This dataset can be utilized across a wide range of research fields. While it is primarily valuable in the natural sciences, it can also be applied to social sciences, such as the behavioral modeling and prediction. 

You can refer the sample usage with following `open in colab` link: [weather_forecast_example.ipynb](https://colab.research.google.com/gist/jniimi/aaf3542f348ae1d2a94df62b7badff50/weather_forecast_example.ipynb), hosted on Gist. 

## Notes
- No train-test split: All the data is contained in `train` section.
- datetime in JST: All date and time variables are displayed in Japan Standard Time (JST: UTC+9).
- To account for potential outliers (like disasters), all columns are stored as strings.
- Please adhere to the original source's rules when using this data.
- We do not take responsibility for any missing data or inaccuracies.

## Citation
If you use this dataset for anything, please consider citing (or displaying) the following reference. Don't forget to mention JMA, also.

```
@misc{jniimi2024weather,
    title = "7days Weather Forecast in Japan (Dataset)",
    author = "Junichiro Niimi",
    year = {2024},
    howpublished = {\url{https://huggingface.co/datasets/jniimi/weather_forecast_japan}},
    }
```