README.md · jniimi/weather_forecast

metadata

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: 17023499
      num_examples: 105226
  download_size: 1238764
  dataset_size: 17023499
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/. 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 (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, 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}},
    }